Publications

See also the list of my publications in Google scholar.

2024

• Learning the 3D Fauna of the Web, Z. Li, D. Litvak, R. Li, Y. Zhang, T. Jakab, C. Rupprecht, S. Wu, A. Vedaldi and J. Wu, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024  

  @inproceedings{li24learning,
   author = {Zizhang Li and Dor Litvak and Ruining Li and Yunzhi Zhang and Tomas Jakab and Christian Rupprecht and Shangzhe Wu and Andrea Vedaldi and Jiajun Wu},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Learning the {3D} Fauna of the {Web}},
   year = {2024}
  }
  

• SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds, M. Chen, J. Xie, I. Laina and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024  

  @inproceedings{chen24shap-editor:,
   author = {Minghao Chen and Junyu Xie and Iro Laina and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{SHAP-EDITOR}: Instruction-guided Latent {3D} Editing in Seconds},
   year = {2024}
  }
  

• GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering, A. Hamdi, L. Melas-Kyriazi, G. Qian, J. Mai, R. Liu, C. Vondrick, B. Ghanem and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

  @inproceedings{hamdi24ges:,
   author = {Abdullah Hamdi and Luke Melas-Kyriazi and Guocheng Qian and Jinjie Mai and Ruoshi Liu and Carl Vondrick and Bernard Ghanem and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{GES}: Generalized Exponential Splatting for Efficient Radiance Field Rendering},
   year = {2024}
  }
  

• Free3D: Consistent Novel View Synthesis without 3D Representation, C. Zheng and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024  

  @inproceedings{zheng2023free3d,
   author = {Chuanxia Zheng and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{Free3D}: Consistent Novel View Synthesis without {3D} Representation},
   year = {2024}
  }
  

• Splatter Image: Ultra-Fast Single-View 3D Reconstruction, S. Szymanowicz, C. Rupprecht and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024  

  @inproceedings{szymanowicz24splatter,
   author = {Stanislaw Szymanowicz and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{Splatter Image}: Ultra-Fast Single-View {3D} Reconstruction},
   year = {2024}
  }
  

• Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion, T. Jakab, R. Li, S. Wu, C. Rupprecht and A. Vedaldi, Proceedings of the International Conference on 3D Vision (3DV), 2024   

  @inproceedings{jakab24farm3d:,
   author = {Tomas Jakab and Ruining Li and Shangzhe Wu and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on {3D} Vision (3DV)},
   title = {{Farm3D}: Learning Articulated {3D} Animals by Distilling {2D} Diffusion},
   year = {2024}
  }
  

• Training-Free Layout Control with Cross-Attention Guidance, M. Chen, I. Laina and A. Vedaldi, Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), 2024   

  @inproceedings{chen24training-free,
   author = {Minghao Chen and Iro Laina and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Winter Conference on Applications of Computer Vision (WACV)},
   title = {Training-Free Layout Control with Cross-Attention Guidance},
   year = {2024}
  }
  

Selected preprints

• IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation, L. Melas-Kyriazi, I. Laina, C. Rupprecht, N. Neverova, A. Vedaldi, O. Gafni and F. Kokkinos, arXiv preprint, 2024  

  @article{melas-kyriazi24im-3d,
   author = {Luke Melas-Kyriazi and Iro Laina and Christian Rupprecht and Natalia Neverova and Andrea Vedaldi and Oran Gafni and Filippos Kokkinos},
   journal = {arXiv preprint},
   number = {abs/2402.08682},
   title = {{IM-3D}: Iterative Multiview Diffusion and Reconstruction for High-Quality {3D} Generation},
   year = {2024}
  }
  

2023

• Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation, A. Shtedritski, C. Rupprecht and A. Vedaldi, Proc. IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023   

  @inproceedings{shtedritski23learning,
   author = {Aleksandar Shtedritski and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proc. IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
   title = {Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation},
   year = {2023}
  }
  

• No Representation Rules Them All in Category Discovery, S. Vaze, A. Vedaldi and A. Zisserman, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2023   

  @inproceedings{vaze23no-representation,
   author = {Sagar Vaze and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {No Representation Rules Them All in Category Discovery},
   year = {2023}
  }
  

• Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion, Y. Bhalgat, I. Laina, J. Henriques, A. Vedaldi and A. Zisserman, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2023    

  @inproceedings{bhalgat23contrastive,
   author = {Yash Sanjay Bhalgat and Iro Laina and Joao F. Henriques and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion},
   year = {2023}
  }
  

• Replay: Multi-modal Multi-view Acted Videos for Casual Holography, I. Rocco, I. Makarov, F. Kokkinos, D. Novotny, B. Graham, N. Neverova and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2023    

  @inproceedings{rocco23replay,
   author = {Ignacio Rocco and Iurii Makarov and Filippos Kokkinos and David Novotny and Ben Graham and Natalia Neverova and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Replay: Multi-modal Multi-view Acted Videos for Casual Holography},
   year = {2023}
  }
  

• Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data, S. Szymanowicz, C. Rupprecht and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2023    

  @inproceedings{szymanowicz23viewset,
   author = {Stanislaw Szymanowicz and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Viewset Diffusion: (0-)Image-Conditioned {3D} Generative Models from {2D} Data},
   year = {2023}
  }
  

• Online Clustered Codebook, C. Zheng and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2023   poster,

  @inproceedings{zheng23online,
   author = {Chuanxia Zheng and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Online Clustered Codebook},
   year = {2023}
  }
  

• HoloFusion: Towards Photo-realistic 3D Generative Modeling, A. Karnewar, A. Vedaldi, N. Mitra and D. Novotny, Proceedings of the International Conference on Computer Vision (ICCV), 2023   

  @inproceedings{karnewar23holofusion,
   author = {Animesh Karnewar and Andrea Vedaldi and Niloy Mitra and David Novotny},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {HoloFusion: Towards Photo-realistic 3D Generative Modeling},
   year = {2023}
  }
  

• EPIC Fields: Marrying 3D Geometry and Video Understanding, V. Tschernezki, A. Darkhalil, Z. Zhu, D. Fouhey, I. Laina, D. Larlus, D. Damen and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS): Track on Datasets and Benchmarks, 2023    

  @inproceedings{tschernezki23epic,
   author = {Vadim Tschernezki and Ahmad Darkhalil and Zhifan Zhu and David Fouhey and Iro Laina and Diane Larlus and Dima Damen and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS): Track on Datasets and Benchmarks},
   title = {{EPIC Fields}: Marrying {3D} Geometry and Video Understanding},
   year = {2023}
  }
  

• What does CLIP know about a red circle? Visual prompt engineering for VLMs, A. Shtedritski, C. Rupprecht and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2023    

  @inproceedings{shtedritski23what,
   author = {Aleksandar Shtedritski and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {What does {CLIP} know about a red circle? Visual prompt engineering for {VLMs}},
   year = {2023}
  }
  

• Text-To-4D Dynamic Scene Generation, U. Singer, S. Sheynin, A. Polyak, O. Ashual, I. Makarov, F. Kokkinos, N. Goyal, A. Vedaldi, D. Parikh, J. Johnson and Y. Taigman, Proceedings of the International Conference on Machine Learning (ICML), 2023    

  @inproceedings{singer23text-to-4d,
   author = {Uriel Singer and Shelly Sheynin and Adam Polyak and Oron Ashual and Iurii Makarov and Filippos Kokkinos and Naman Goyal and Andrea Vedaldi and Devi Parikh and Justin Johnson and Yaniv Taigman},
   booktitle = {Proceedings of the International Conference on Machine Learning ({ICML})},
   title = {Text-To-{4D} Dynamic Scene Generation},
   year = {2023}
  }
  

• Behind the Scenes: Density Fields for Single View Reconstruction, F. Wimbauer, N. Yang, C. Rupprecht and D. Cremers, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023    

  @inproceedings{wimbauer23behind,
   author = {Felix Wimbauer and Nan Yang and Christian Rupprecht and Daniel Cremers},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Behind the Scenes: Density Fields for Single View Reconstruction},
   year = {2023}
  }
  

• Novel-view Acoustic Synthesis, C. Chen, A. Richard, R. Shapovalov, V. Ithapu, N. Neverova, K. Grauman and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023    

  @inproceedings{chen23novel-view,
   author = {Changan Chen and Alexander Richard and Roman Shapovalov and Vamsi Ithapu and Natalia Neverova and Kristen Grauman and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Novel-view Acoustic Synthesis},
   year = {2023}
  }
  

• HoloDiffusion: training a 3D diffusion model using 2D Images, A. Karnewar, A. Vedaldi, D. Novotny and N. Mitra, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023    

  @inproceedings{karnewar23holo-diffusion,
   author = {Animesh Karnewar and Andrea Vedaldi and David Novotny and Niloy Mitra},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{HoloDiffusion}: training a {3D} diffusion model using {2D} Images},
   year = {2023}
  }
  

• DynamicStereo: Consistent Dynamic Depth from Stereo Videos, N. Karaev, I. Rocco, B. Graham, N. Neverova, A. Vedaldi and C. Rupprecht, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023    

  @inproceedings{karaev23dynamicstereo,
   author = {Nikita Karaev and Ignacio Rocco and Benjamin Graham and Natalia Neverova and Andrea Vedaldi and Christian Rupprecht},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{DynamicStereo}: Consistent Dynamic Depth from Stereo Videos},
   year = {2023}
  }
  

• Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories, S. Sinha, R. Shapovalov, J. Reizenstein, I. Rocco, N. Neverova, A. Vedaldi and D. Novotný, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023    

  @inproceedings{sinha22common,
   author = {Samarth Sinha and Roman Shapovalov and Jeremy Reizenstein and Ignacio Rocco and Natalia Neverova and Andrea Vedaldi and David Novotn{\'{y}}},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Common Pets in {3D}: Dynamic New-View Synthesis of Real-Life Deformable Categories},
   year = {2023}
  }
  

• Continual Detection Transformer for Incremental Object Detection, Y. Liu, B. Schiele, A. Vedaldi and C. Rupprecht, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023    

  @inproceedings{liu23continual,
   author = {Yaoyao Liu and Bernt Schiele and Andrea Vedaldi and Christian Rupprecht},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Continual Detection Transformer for Incremental Object Detection},
   year = {2023}
  }
  

• MagicPony: Learning Articulated 3D Animals in the Wild, S. Wu, R. Li, T. Jakab, C. Rupprecht and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023    

  @inproceedings{wu23magicpony,
   author = {Shangzhe Wu and Ruining Li and Tomas Jakab and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{MagicPony}: Learning Articulated {3D} Animals in the Wild},
   year = {2023}
  }
  

• PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction, L. Melas-Kyriazi, C. Rupprecht and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023    

  @inproceedings{melas-kyriazi23pc2,
   author = {Luke Melas{-}Kyriazi and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{PC2}: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction},
   year = {2023}
  }
  

• RealFusion: 360 Reconstruction of Any Object from a Single Image, L. Melas-Kyriazi, C. Rupprecht, I. Laina and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023    

  @inproceedings{melas-kyriazi23realfusion,
   author = {Luke Melas{-}Kyriazi and Christian Rupprecht and Iro Laina and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{RealFusion}: 360 Reconstruction of Any Object from a Single Image},
   year = {2023}
  }
  

Selected preprints

• Real-time volumetric rendering of dynamic humans, I. Rocco, I. Makarov, F. Kokkinos, D. Novotný, B. Graham, N. Neverova and A. Vedaldi, arXiv preprint, 2023    

  @article{rocco23real-time,
   author = {Ignacio Rocco and Iurii Makarov and Filippos Kokkinos and David Novotn{\'{y}} and Benjamin Graham and Natalia Neverova and Andrea Vedaldi},
   journal = {arXiv preprint},
   title = {Real-time volumetric rendering of dynamic humans},
   volume = {abs/2303.11898},
   year = {2023}
  }
  

2022

• Test Sample Accuracy Scales with Training Sample Density in Neural Networks, X. Ji, R. Pascanu, R. Hjelm, B. Lakshminarayanan and A. Vedaldi, Proceedings of Conference on Lifelong Learning Agents (CoLLA), 2022  

  @inproceedings{ji22test,
   author = {Xu Ji and Razvan Pascanu and R. Devon Hjelm and Balaji Lakshminarayanan and Andrea Vedaldi},
   booktitle = {Proceedings of Conference on Lifelong Learning Agents (CoLLA)},
   title = {Test Sample Accuracy Scales with Training Sample Density in Neural Networks},
   year = {2022}
  }
  

• Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views, R. McCraith, E. Insafutdinov, L. Neumann and A. Vedaldi, Proceedings of the IEEE Conference on Robotics and Automation (ICRA), 2022  

  @inproceedings{mccraith22lifting,
   author = {Robert McCraith and Eldar Insafutdinov and Luk{\'{a}}s Neumann and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Robotics and Automation ({ICRA})},
   title = {Lifting {2D} Object Locations to {3D} by Discounting {LiDAR} Outliers across Objects and Views},
   year = {2022}
  }
  

• End-to-End Visual Editing with a Generatively Pre-Trained Artist, A. Brown, C. Fu, O. Parkhi, T. Berg and A. Vedaldi, Proceedings of the European Conference on Computer Vision (ECCV), 2022    

  @inproceedings{brown22end-to-end,
   author = {Andrew Brown and Cheng{-}Yang Fu and Omkar M. Parkhi and Tamara L. Berg and Andrea Vedaldi},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {End-to-End Visual Editing with a Generatively Pre-Trained Artist},
   year = {2022}
  }
  

• SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data, E. Insafutdinov, D. Campbell, J. Henriques and A. Vedaldi, Proceedings of the European Conference on Computer Vision (ECCV), 2022    

  @inproceedings{insafutdinov22snes,
   author = {Eldar Insafutdinov and Dylan Campbell and Jo{\~{a}}o F. Henriques and Andrea Vedaldi},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {{SNeS}: Learning Probably Symmetric Neural Surfaces from Incomplete Data},
   year = {2022}
  }
  

• Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion, L. Karazija, S. Choudhury, I. Laina, A. Vedaldi and C. Rupprecht, Proceedings of the British Machine Vision Conference (BMVC), 2022    

  @inproceedings{karazija22guess,
   author = {Laurynas Karazija and Subhabrata Choudhury and Iro Laina and Andrea Vedaldi and Christian Rupprecht},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion},
   year = {2022}
  }
  

• Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns, L. Karazija, S. Choudhury, I. Laina, C. Rupprecht and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2022    

  @inproceedings{karazija22unsupervised,
   author = {Laurynas Karazija and Subhabrata Choudhury and Iro Laina and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns},
   year = {2022}
  }
  

• Direct LiDAR-based object detector training from automated 2D detections, R. McCraith, E. Insafutdinov, L. Neumann and A. Vedaldi, Proceedings of NeurIPS Machine Learning for the Developing World Workshop, 2022   

  @inproceedings{mccraith02direct,
   author = {Robert McCraith and Eldar Insafutdinov and Lukas Neumann and Andrea Vedaldi},
   booktitle = {Proceedings of NeurIPS Machine Learning for the Developing World Workshop},
   title = {Direct LiDAR-based object detector training from automated 2D detections},
   year = {2022}
  }
  

• Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representation, V. Tschernezki, I. Laina, D. Larlus and A. Vedaldi, Proceedings of the International Conference on 3D Vision (3DV), 2022    

  @inproceedings{tschernezki22neural,
   author = {Vadim Tschernezki and Iro Laina and Diane Larlus and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on {3D} Vision (3DV)},
   title = {{Neural Feature Fusion Fields}: {3D} Distillation of Self-Supervised {2D} Image Representation},
   year = {2022}
  }
  

• BANMo: Building Animatable 3D Neural Models from Many Casual Videos, G. Yang, M. Vo, N. Neverova, D. Ramanan, A. Vedaldi and H. Joo, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022    

  @inproceedings{yang22banmo,
   author = {Gengshan Yang and Minh Vo and Natalia Neverova and Deva Ramanan and Andrea Vedaldi and Hanbyul Joo},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{BANMo}: Building Animatable 3D Neural Models from Many Casual Videos},
   year = {2022}
  }
  

  (Media coverage)
• Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization, L. Melas-Kyriazi, C. Rupprecht, I. Laina and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022   

  @inproceedings{melas-kyriazi22deep,
   author = {Luke Melas-Kyriazi and Christian Rupprecht and Iro Laina and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization},
   year = {2022}
  }
  

• Finding an Unsupervised Image Segmenter in each of your Deep Generative Models, L. Melas-Kyriazi, C. Rupprecht, I. Laina and A. Vedaldi, Proceedings of the International Conference on Learning Representations (ICLR), 2022   

  @inproceedings{melas-kyriazi22finding,
   author = {Luke Melas-Kyriazi and Christian Rupprecht and Iro Laina and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
   title = {Finding an Unsupervised Image Segmenter in each of your Deep Generative Models},
   year = {2022}
  }
  

• Generalized Category Discovery, S. Vaze, K. Han, A. Vedaldi and A. Zisserman, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022   

  @inproceedings{vaze22generalized,
   author = {Sagar Vaze and Kai Han and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Generalized Category Discovery},
   year = {2022}
  }
  

• Keypoint Transporter for Reconstructing Non-rigid 3D Shapes in Videos, D. Novotny, I. Rocco, S. Sinha, A. Carlier, G. Kerchenbaum, R. Shapovalov, N. Smetanin, N. Neverova and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022   

  @inproceedings{novotny22keypoint,
   author = {David Novotny and Ignacio Rocco and Samrath Sinha and Alexandre Carlier and Gael Kerchenbaum and Roman Shapovalov and Nikita Smetanin and Natalia Neverova and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Keypoint Transporter for Reconstructing Non-rigid 3D Shapes in Videos},
   year = {2022}
  }
  

• Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing, I. Laina, Y. Asano and A. Vedaldi, Proceedings of the International Conference on Learning Representations (ICLR), 2022   

  @inproceedings{laina22measuring,
   author = {Iro Laina and Yuki M. Asano and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
   title = {Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing},
   year = {2022}
  }
  

• Open-Set Recognition: A Good Closed-Set Classifier is All You Need, S. Vaze, K. Han, A. Vedaldi and A. Zisserman, Proceedings of the International Conference on Learning Representations (ICLR), 2022   

  @inproceedings{vaze22open-set,
   author = {Sagar Vaze and Kai Han and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
   title = {Open-Set Recognition: A Good Closed-Set Classifier is All You Need},
   year = {2022}
  }
  

• Self-supervised object detection from audio-visual correspondence, T. Afouras, Y. Asano, F. Fagan, A. Vedaldi and F. Metze, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022   

  @inproceedings{afouras22self-supervised,
   author = {Triantafyllos Afouras and Yuki Asano and Francois Fagan and Andrea Vedaldi and Florian Metze},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Self-supervised object detection from audio-visual correspondence},
   year = {2022}
  }
  

2021

• AutoNovel: Automatically Discovering and Learning Novel Visual Categories, K. Han, S. Rebuffi, S. Ehrhardt, A. Vedaldi and A. Zisserman, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021    

  @article{han21autonovel,
   author = {Kai Han and Sylvestre{-}Alvise Rebuffi and S{\'{e}}bastien Ehrhardt and Andrea Vedaldi and Andrew Zisserman},
   journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence},
   title = {AutoNovel: Automatically Discovering and Learning Novel Visual Categories},
   year = {2021}
  }
  

• Audio-Visual Synchronisation in the Wild, H. Chen, W. Xie, T. Afouras, A. Nagrani, A. Vedaldi and A. Zisserman, Proceedings of the British Machine Vision Conference (BMVC), 2021  

  @inproceedings{chen21audio-visual,
   author = {Honglie Chen and Weidi Xie and Triantafyllos Afouras and Arsha Nagrani and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Audio-Visual Synchronisation in the Wild},
   year = {2021}
  }
  

• The Curious Layperson: Fine-Grained Image Recognition without Expert Labels, S. Choudhury, I. Laina, C. Rupprecht and A. Vedaldi, Proceedings of the British Machine Vision Conference (BMVC), 2021    

  @inproceedings{choudhury21the-curious,
   author = {Subhabrata Choudhury and Iro Laina and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {The Curious Layperson: Fine-Grained Image Recognition without Expert Labels},
   year = {2021}
  }
  

  (Best student paper award)
• Unsupervised Part Discovery from Contrastive Reconstruction, S. Choudhury, I. Laina, C. Rupprecht and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2021    

  @inproceedings{choudhury21unsupervised,
   author = {Subhabrata Choudhury and Iro Laina and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Unsupervised Part Discovery from Contrastive Reconstruction},
   year = {2021}
  }
  

• Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers, M. Patrick, D. Campbell, Y. Asano, I. Misra, F. Metze, C. Feichtenhofer, A. Vedaldi and J. Henriques, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2021   

  @inproceedings{patrick21keeping,
   author = {Mandela Patrick and Dylan Campbell and Yuki Markus Asano and Ishan Misra and Florian Metze and Christoph Feichtenhofer and Andrea Vedaldi and Jo{\~{a}}o F. Henriques},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers},
   year = {2021}
  }
  

• PASS: An ImageNet replacement for self-supervised pretraining without human, Y. Asano, C. Rupprecht, A. Zisserman and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS): Track on Datasets and Benchmarks, 2021   

  @article{asano21pass:,
   author = {Yuki M. Asano and Christian Rupprecht and Andrew Zisserman and Andrea Vedaldi},
   journal = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS): Track on Datasets and Benchmarks},
   title = {{PASS}: An {ImageNet} replacement for self-supervised pretraining without human},
   year = {2021}
  }
  

• NeuralDiff: Segmenting 3D objects that move in egocentric videos, V. Tschernezki, D. Larlus and A. Vedaldi, Proceedings of the International Conference on 3D Vision (3DV), 2021   

  @inproceedings{tschernezki21neuraldiff,
   author = {Vadim Tschernezki and Diane Larlus and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on {3D} Vision (3DV)},
   title = {{NeuralDiff}: Segmenting {3D} objects that move in egocentric videos},
   year = {2021}
  }
  

• Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes, D. Xu, A. Vedaldi and J. Henriques, Proc. IEEE Intl. Conf. on Intelligent Robots an Systems (IROS), 2021  

  @inproceedings{xu21moving,
   author = {Dan Xu and Andrea Vedaldi and Jo{\~{a}}o F. Henriques},
   booktitle = {Proc. IEEE Intl. Conf. on Intelligent Robots an Systems (IROS)},
   title = {Moving {SLAM}: Fully Unsupervised Deep Learning in Non-Rigid Scenes},
   year = {2021}
  }
  

• Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives, O. Groth, C. Hung, A. Vedaldi and I. Posner, Proceedings of the IEEE Conference on Robotics and Automation (ICRA), 2021    

  @inproceedings{groth21goal-conditioned,
   author = {Oliver Groth and Chia-Man Hung and Andrea Vedaldi and Ingmar Posner},
   booktitle = {Proceedings of the {IEEE} Conference on Robotics and Automation ({ICRA})},
   title = {Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives},
   year = {2021}
  }
  

• Real Time Monocular Vehicle Velocity Estimation Using Synthetic Data, R. McCraith, L. Neumann and A. Vedaldi, Proc. IEEE Intelligent Vehicles Symposium, 2021  

  @inproceedings{mccraith21real,
   author = {Robert McCraith and Lukas Neumann and Andrea Vedaldi},
   booktitle = {Proc. IEEE Intelligent Vehicles Symposium},
   title = {Real Time Monocular Vehicle Velocity Estimation Using Synthetic Data},
   year = {2021}
  }
  

• On Compositions of Transformations in Contrastive Self-Supervised Learning, M. Patrick, Y. Asano, P. Kuznetsova, R. Fong, J. Henriques, G. Zweig and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2021   

  @inproceedings{patrick21on-compositions,
   author = {Mandela Patrick and Yuki M. Asano and Polina Kuznetsova and Ruth Fong and Jo{\~{a}}o F. Henriques and Geoffrey Zweig and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {On Compositions of Transformations in Contrastive Self-Supervised Learning},
   year = {2021}
  }
  

• Space-time crop and Attend: Improving cross-modal video representation learning, M. Patrick, Y. Asano, B. Huang, I. Misra, F. Metze, J. Henriques and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2021   

  @inproceedings{patrick21space-time,
   author = {Mandela Patrick and Yuki M. Asano and Bernie Huang and Ishan Misra and Florian Metze and Jo{\~{a}}o F. Henriques and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Space-time crop and Attend: Improving cross-modal video representation learning},
   year = {2021}
  }
  

• DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension, R. Shapovalov, D. Novotny, B. Graham, P. Labatut and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2021   

  @inproceedings{shapovalov21densepose,
   author = {Roman Shapovalov and David Novotny and Benjamin Graham and Patrick Labatut and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {{DensePose} {3D}: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension},
   year = {2021}
  }
  

• NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go, M. Eisenberger, D. Novotny, G. Kerchenbaum, P. Labatut, N. Neverova, D. Cremers and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021   

  @inproceedings{eisenberger21neuromorph,
   author = {Marvin Eisenberger and David Novotny and Gael Kerchenbaum and Patrick Labatut and Natalia Neverova and Daniel Cremers and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{NeuroMorph}: Unsupervised Shape Interpolation and Correspondence in One Go},
   year = {2021}
  }
  

• Unsupervised Learning of 3D Object Categories from Videos in the Wild, P. Henzler, J. Reizenstein, P. Labatut, R. Shapovalov, T. Ritschel, A. Vedaldi and D. Novotny, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021   

  @inproceedings{henzler21unsupervised,
   author = {Philipp Henzler and Jeremy Reizenstein and Patrick Labatut and Shapovalov, Roman and Tobias Ritschel and Andrea Vedaldi and David Novotny},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Unsupervised Learning of 3D Object Categories from Videos in the Wild},
   year = {2021}
  }
  

• Discovering Relationships between Object Categories via Universal Canonical Maps, N. Neverova, A. Sanakoyeu, P. Labatut, D. Novotny and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021   

  @inproceedings{neverova21discovering,
   author = {Natalia Neverova and Artsiom Sanakoyeu and Patrick Labatut and David Novotny and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Discovering Relationships between Object Categories via Universal Canonical Maps},
   year = {2021}
  }
  

• Support-set bottlenecks for video-text representation learning, M. Patrick, P. Huang, Y. Asano, F. Metze, A. Hauptmann, J. Henriques and A. Vedaldi, iclr, 2021   

  @inproceedings{patrick21support-set,
   author = {Mandela Patrick and Po{-}Yao Huang and Yuki Markus Asano and Florian Metze and Alexander G. Hauptmann and Jo{\~{a}}o F. Henriques and Andrea Vedaldi},
   booktitle = {iclr},
   title = {Support-set bottlenecks for video-text representation learning},
   year = {2021}
  }
  

• Optimising a Simple Fully Convolutional Network (SFCN) for accurate brain age prediction in the PAC 2019 challenge, W. Gong, C. Beckmann, A. Vedaldi, S. Smith and H. Peng, Front. Psychiatry, 2021  

  @article{gong21optimising,
   author = {Weikang Gong and Christian F. Beckmann and Andrea Vedaldi and Stephen M. Smith and Han Peng},
   journal = {Front. Psychiatry},
   title = {Optimising a Simple Fully Convolutional Network (SFCN) for accurate brain age prediction in the PAC 2019 challenge},
   volume = {12},
   year = {2021}
  }
  

2020

• RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces, S. Ehrhardt, O. Groth, A. Monszpart, M. Engelcke, I. Posner, N. Mitra and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2020   

  @inproceedings{ehrhardt20relate,
   author = {S{\'{e}}bastien Ehrhardt and Oliver Groth and Aron Monszpart and Martin Engelcke and Ingmar Posner and Niloy J. Mitra and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {{RELATE:} Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces},
   year = {2020}
  }
  

• Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning, I. Laina, R. Fong and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2020   

  @inproceedings{laina20quantifying,
   author = {Iro Laina and Ruth C. Fong and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning},
   year = {2020}
  }
  

• Labelling unlabelled videos from scratch with multi-modal self-supervision, Y. Asano, M. Patrick, C. Rupprecht and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2020   

  @inproceedings{asano20labelling,
   author = {Yuki M. Asano and Mandela Patrick and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Labelling unlabelled videos from scratch with multi-modal self-supervision},
   year = {2020}
  }
  

• 3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data, B. Biggs, A. Vedaldi and D. Novotný, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2020   

  @inproceedings{biggs203d-multi-bodies,
   author = {Benjamin Biggs and Andrea Vedaldi and David Novotn{\'{y}}},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {{3D} Multi-bodies: Fitting Sets of Plausible {3D} Human Models to Ambiguous Image Data},
   year = {2020}
  }
  

• Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction, D. Novotný, R. Shapovalov and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2020   

  @inproceedings{novotny20canonical,
   author = {David Novotn{\'{y}} and Roman Shapovalov and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Canonical {3D} Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction},
   year = {2020}
  }
  

• Continuous Surface Embeddings, N. Neverova, D. Novotný and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2020   

  @inproceedings{neverova20continuous,
   author = {Natalia Neverova and David Novotn{\'{y}} and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Continuous Surface Embeddings},
   year = {2020}
  }
  

• Deep Image Prior, D. Ulyanov, A. Vedaldi and V. Lempitsky, International Journal of Computer Vision (IJCV), 2020   

  @article{ulyanov20deep,
   author = {Dmitry Ulyanov and Andrea Vedaldi and Victor S. Lempitsky},
   journal = {International Journal of Computer Vision ({IJCV})},
   number = {7},
   pages = {1867--1888},
   title = {Deep Image Prior},
   volume = {128},
   year = {2020}
  }
  

• VGGSound: A Large-scale Audio-Visual Dataset, H. Chen, W. Xie, A. Vedaldi and A. Zisserman, International Conference on Acoustics, Speech, and Signal Processing (ICASS), 2020  

  @inproceedings{chen20vggsound,
   author = {Honglie Chen and Weidi Xie and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASS)},
   title = {{VGGSound}: A Large-scale Audio-Visual Dataset},
   year = {2020}
  }
  

• Transferring Dense Pose to Proximal Animal Classes, A. Sanakoyeu, V. Khalidov, M. McCarthy, A. Vedaldi and N. Neverova, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020  

  @inproceedings{sanakoyeu20transferring,
   author = {Artsiom Sanakoyeu and Vasil Khalidov and Maureen S. McCarthy and Andrea Vedaldi and Natalia Neverova},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Transferring Dense Pose to Proximal Animal Classes},
   year = {2020}
  }
  

• Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos, T. Jakab, A. Gupta, H. Bilen and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020   

  @inproceedings{jakab20self-supervised,
   author = {Tomas Jakab and Ankush Gupta and Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos},
   year = {2020}
  }
  

• Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild, S. Wu, C. Rupprecht and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020    

  @inproceedings{wu20unsupervised,
   author = {Shangzhe Wu and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Unsupervised Learning of Probably Symmetric Deformable {3D} Objects from Images in the Wild},
   year = {2020}
  }
  

  (Best paper award)
• There and Back Again: Revisiting Backpropagation Saliency Methods, S. Rebuffi, R. Fong, X. Ji and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020   

  @inproceedings{rebuffi20there,
   author = {Sylvestre-Alvise Rebuffi and Ruth C. Fong and Xu Ji and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {There and Back Again: Revisiting Backpropagation Saliency Methods},
   year = {2020}
  }
  

• Automatically Discovering and Learning New Visual Categories with Ranking Statistics, K. Han, S. Rebuffi, S. Ehrhardt, A. Vedaldi and A. Zisserman, Proceedings of the International Conference on Learning Representations (ICLR), 2020   

  @inproceedings{han20automatically,
   author = {Kai Han and Sylvestre-Alvise Rebuffi and Sebastien Ehrhardt and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
   title = {Automatically Discovering and Learning New Visual Categories with Ranking Statistics},
   year = {2020}
  }
  

• A critical analysis of self-supervision, or what we can learn from a single image, Y. Asano, C. Rupprecht and A. Vedaldi, Proceedings of the International Conference on Learning Representations (ICLR), 2020   

  @inproceedings{asano20a-critical,
   author = {Yuki M. Asano and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
   title = {A critical analysis of self-supervision, or what we can learn from a single image},
   year = {2020}
  }
  

• Self-labelling via simultaneous clustering and representation learning, Y. Asano, C. Rupprecht and A. Vedaldi, Proceedings of the International Conference on Learning Representations (ICLR), 2020   

  @inproceedings{asano20self-labelling,
   author = {Yuki M. Asano and Christian Rupprecht and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
   title = {Self-labelling via simultaneous clustering and representation learning},
   year = {2020}
  }
  

2019

• Future Event Prediction: If and When, L. Neumann, A. Zisserman and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019  

  @inproceedings{neumann19future,
   author = {Luk{\'{a}}s Neumann and Andrew Zisserman and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition Workshops ({CVPRW})},
   title = {Future Event Prediction: If and When},
   year = {2019}
  }
  

• Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, W. Samek, G. Montavon, A. Vedaldi, L. Hansen and K. Müller, Springer, 2019  

  @book{19explainable,
   editor = {Wojciech Samek and Gr{\'{e}}goire Montavon and Andrea Vedaldi and Lars Kai Hansen and Klaus{-}Robert M{\"{u}}ller},
   publisher = {Springer},
   title = {Explainable {AI:} Interpreting, Explaining and Visualizing Deep Learning},
   year = {2019}
  }
  

• Fixing the train-test resolution discrepancy, H. Touvron, A. Vedaldi, M. Douze and H. Jégou, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2019  

  @inproceedings{touvron19fixing,
   author = {Hugo Touvron and Andrea Vedaldi and Matthijs Douze and Herv{\'{e}} J{\'{e}}gou},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Fixing the train-test resolution discrepancy},
   year = {2019}
  }
  

• Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels, N. Neverova, D. Novotný and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2019  

  @inproceedings{neverova19correlated,
   author = {Natalia Neverova and David Novotn{\'{y}} and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels},
   year = {2019}
  }
  

• AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations, H. Chen, W. Xie, A. Vedaldi and A. Zisserman, Proceedings of the British Machine Vision Conference (BMVC), 2019  

  @inproceedings{chen19autocorrect,
   author = {Honglie Chen and Weidi Xie and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {{AutoCorrect}: Deep Inductive Alignment of Noisy Geometric Annotations},
   year = {2019}
  }
  

• Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes, F. Fuchs, O. Groth, A. Kosiorek, A. Bewley, M. Wulfmeier, A. Vedaldi and I. Posner, Proceedings of the British Machine Vision Conference (BMVC), 2019   

  @inproceedings{fuchs19scrutinizing,
   author = {Fabian B. Fuchs and Oliver Groth and Adam R. Kosiorek and Alex Bewley and Markus Wulfmeier and Andrea Vedaldi and Ingmar Posner},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes},
   year = {2019}
  }
  

• C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion, D. Novotný, N. Ravi, B. Graham, N. Neverova and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2019  

  @inproceedings{novotny19c3dpo,
   author = {David Novotn{\'{y}} and Nikhila Ravi and Benjamin Graham and Natalia Neverova and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {{C3DPO}: Canonical 3D Pose Networks for Non-Rigid Structure From Motion},
   year = {2019}
  }
  

• Small step and giant leaps: Minimal Netwon solvers for Deep Learning, J. Henriques, S. Ehrhardt, S. Albanie and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2019   

  @inproceedings{henriques19small,
   author = {Jo{\~{a}}o F. Henriques and S{\'{e}}bastien Ehrhardt and Samuel Albanie and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Small step and giant leaps: Minimal {Netwon} solvers for Deep Learning},
   year = {2019}
  }
  

• Unsupervised learning of landmarks by descriptor vector exchange, J. Thewlis, S. Albanie, H. Bilen and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2019   

  @inproceedings{thewlis19unsupervised,
   author = {James Thewlis and Samuel Albanie and Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Unsupervised learning of landmarks by descriptor vector exchange},
   year = {2019}
  }
  

• Understanding Deep Networks via Extremal Perturbations and Smooth Masks, R. Fong, M. Patrick and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2019  

  @inproceedings{fong19understanding,
   author = {Ruth Fong and Mandela Patrick and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Understanding Deep Networks via Extremal Perturbations and Smooth Masks},
   year = {2019}
  }
  

• Invariant Information Clustering for Unsupervised Image Classification and Segmentation, X. Ji, J. Henriques and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2019   

  @inproceedings{ji19invariant,
   author = {Xu Ji and Jo{\~{a}}o F. Henriques and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Invariant Information Clustering for Unsupervised Image Classification and Segmentation},
   year = {2019}
  }
  

• Learning to Discover Novel Visual Categories via Deep Transfer Clustering, K. Han, A. Vedaldi and A. Zisserman, Proceedings of the International Conference on Computer Vision (ICCV), 2019   

  @inproceedings{han19learning,
   author = {Kai Han and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Learning to Discover Novel Visual Categories via Deep Transfer Clustering},
   year = {2019}
  }
  

• HPatches: A benchmark and evaluation of handcrafted and learned local descriptors, V. Balntas, K. Lenc, A. Vedaldi, T. Tuytelaars, J. Matas and K. Mikolajczyk, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019   

  @article{balntas19hpatches,
   author = {Vassileios Balntas and Karel Lenc and Andrea Vedaldi and Tinne Tuytelaars and Jiri Matas and Krystian Mikolajczyk},
   journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence},
   title = {{HPatches}: A benchmark and evaluation of handcrafted and learned local descriptors},
   year = {2019}
  }
  

• Taking visual motion prediction to new heightfields, S. Ehrhardt, A. Monszpart, N. Mitra and A. Vedaldi, Computer Vision and Image Understanding, 2019   

  @article{ehrhardt19taking,
   author = {S{\'{e}}bastien Ehrhardt and Aron Monszpart and Niloy J. Mitra and Andrea Vedaldi},
   journal = {Computer Vision and Image Understanding},
   title = {Taking visual motion prediction to new heightfields},
   year = {2019}
  }
  

• Meta-learning with differentiable closed-form solvers, L. Bertinetto, J. Henriques, P. Torr and A. Vedaldi, Proceedings of the International Conference on Learning Representations (ICLR), 2019    

  @inproceedings{bertinetto19meta-learning,
   author = {Luca Bertinetto and Jo{\~{a}}o F. Henriques and Philip H. S. Torr and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
   title = {Meta-learning with differentiable closed-form solvers},
   year = {2019}
  }
  

• Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues, N. Neverova, J. Thewlis, R. Güler, I. Kokkinos and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019  

  @inproceedings{neverova19slim,
   author = {Natalia Neverova and James Thewlis and Riza Alp G{\"{u}}ler and Iasonas Kokkinos and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Slim {DensePose}: Thrifty Learning From Sparse Annotations and Motion Cues},
   year = {2019}
  }
  

• Understanding Image Representations by Measuring Their Equivariance and Equivalence, K. Lenc and A. Vedaldi, International Journal of Computer Vision (IJCV), 2019   

  @article{lenc18understanding,
   author = {Karel Lenc and Andrea Vedaldi},
   journal = {International Journal of Computer Vision ({IJCV})},
   number = {5},
   title = {Understanding Image Representations by Measuring Their Equivariance and Equivalence},
   volume = {127},
   year = {2019}
  }
  

2018

• Relaxed Softmax: Efficient Confidence Auto-Calibration for Safe Pedestrian Detection, L. Neumann, A. Zisserman and A. Vedaldi, NeurIPS Workshop on Machine Learning for Intelligent Transportation Systems, 2018  

  @inproceedings{neumann18relaxed,
   author = {Luk{\'{a}}s Neumann and Andrew Zisserman and Andrea Vedaldi},
   booktitle = {{NeurIPS} Workshop on Machine Learning for Intelligent Transportation Systems},
   title = {Relaxed Softmax: Efficient Confidence Auto-Calibration for Safe Pedestrian Detection},
   year = {2018}
  }
  

• Learning to read by spelling: Towards unsupervised text recognition, A. Gupta, A. Vedaldi and A. Zisserman, Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, 2018  

  @inproceedings{gupta18learning,
   author = {Ankush Gupta and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the {Indian Conference on Computer Vision, Graphics and Image Processing}},
   title = {Learning to read by spelling: Towards unsupervised text recognition},
   year = {2018}
  }
  

• Capturing the Geometry of Object Categories from Video Supervision, D. Novotný, D. Larlus and A. Vedaldi, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018   

  @article{novotny18capturing,
   author = {David Novotn{\'{y}} and Diane Larlus and Andrea Vedaldi},
   journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence},
   title = {Capturing the Geometry of Object Categories from Video Supervision},
   year = {2018}
  }
  

• Unsupervised Intuitive Physics from Visual Observations, S. Ehrhardt, A. Monszpart, N. Mitra and A. Vedaldi, Proceedings of the Asian Conference on Computer Vision (ACCV), 2018   

  @inproceedings{ehrhardt18unsupervised,
   author = {S{\'{e}}bastien Ehrhardt and Aron Monszpart and Niloy J. Mitra and Andrea Vedaldi},
   booktitle = {Proceedings of the {Asian Conference on Computer Vision} ({ACCV})},
   title = {Unsupervised Intuitive Physics from Visual Observations},
   year = {2018}
  }
  

• NightOwls: A Pedestrians at Night Dataset, L. Neumann, M. Karg, S. Zhang, C. Scharfenberger, E. Piegert, S. Mistr, O. Prokofyeva, R. Thiel, A. Vedaldi, A. Zisserman and B. Schiele, Proceedings of the Asian Conference on Computer Vision (ACCV), 2018  

  @inproceedings{neumann18nightowls,
   author = {Luk{\'{a}}s Neumann and Michelle Karg and Shanshan Zhang and Christian Scharfenberger and Eric Piegert and Sarah Mistr and Olga Prokofyeva and Robert Thiel and Andrea Vedaldi and Andrew Zisserman and Bernt Schiele},
   booktitle = {Proceedings of the {Asian Conference on Computer Vision} ({ACCV})},
   title = {{NightOwls}: {A} Pedestrians at Night Dataset},
   year = {2018}
  }
  

• Tiny People Pose, L. Neumann and A. Vedaldi, Proceedings of the Asian Conference on Computer Vision (ACCV), 2018  

  @inproceedings{neumann18tiny,
   author = {Luk{\'{a}}s Neumann and Andrea Vedaldi},
   booktitle = {Proceedings of the {Asian Conference on Computer Vision} ({ACCV})},
   title = {Tiny People Pose},
   year = {2018}
  }
  

• Cross Pixel Optical-Flow Similarity for Self-supervised Learning, A. Mahendran, J. Thewlis and A. Vedaldi, Proceedings of the Asian Conference on Computer Vision (ACCV), 2018   

  @inproceedings{mahendran18cross,
   author = {Aravindh Mahendran and James Thewlis and Andrea Vedaldi},
   booktitle = {Proceedings of the {Asian Conference on Computer Vision} ({ACCV})},
   title = {Cross Pixel Optical-Flow Similarity for Self-supervised Learning},
   year = {2018}
  }
  

  (oral presentation)
• Emotion Recognition in Speech using Cross-Modal Transfer in the Wild, S. Albanie, A. Nagrani, A. Vedaldi and A. Zisserman, Proceedings of the 26th annual ACM international conference on Multimedia, 2018  

  @inproceedings{albanie18emotion,
   author = {Samuel Albanie and Arsha Nagrani and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the 26th annual {ACM} international conference on Multimedia},
   title = {Emotion Recognition in Speech using Cross-Modal Transfer in the Wild},
   year = {2018}
  }
  

• Unsupervised Learning of Object Landmarks through Conditional Image Generation, T. Jakab, A. Gupta, H. Bilen and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018   supp. material,

  @inproceedings{jakab18unsupervised,
   author = {Tomas Jakab and Ankush Gupta and Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Unsupervised Learning of Object Landmarks through Conditional Image Generation},
   year = {2018}
  }
  

• Modelling and unsupervised learning of symmetric deformable object categories, J. Thewlis, H. Bilen and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018   supp. material,

  @inproceedings{thewlis18modelling,
   author = {James Thewlis and Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Modelling and unsupervised learning of symmetric deformable object categories},
   year = {2018}
  }
  

• Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks, J. Hu, L. Shen, S. Albanie, G. Sun and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018   supp. material,

  @inproceedings{hu18gather,
   author = {Jie Hu and Li Shen and Samuel Albanie and Gang Sun and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks},
   year = {2018}
  }
  

• Inductive Visual Localisation: Factorised Training for Superior Generalisation, A. Gupta, A. Vedaldi and A. Zisserman, Proceedings of the British Machine Vision Conference (BMVC), 2018  

  @inproceedings{gupta18inductive,
   author = {Ankush Gupta and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Inductive Visual Localisation: Factorised Training for Superior Generalisation},
   year = {2018}
  }
  

• Long-Term Tracking in the Wild: A Benchmark, J. Valmadre, L. Bertinetto, J. Henriques, R. Tao, A. Vedaldi, A. Smeulders, P. Torr and E. Gavves, Proceedings of the European Conference on Computer Vision (ECCV), 2018   

  @inproceedings{valmadre18long-term,
   author = {Jack Valmadre and Luca Bertinetto and Jo{\~{a}}o F. Henriques and Ran Tao and Andrea Vedaldi and Arnold W. M. Smeulders and Philip H. S. Torr and Efstratios Gavves},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {Long-Term Tracking in the Wild: {A} Benchmark},
   year = {2018}
  }
  

• Supervising the New with the Old: Learning SFM from SFM, M. Klodt and A. Vedaldi, Proceedings of the European Conference on Computer Vision (ECCV), 2018  

  @inproceedings{klodt18supervising,
   author = {Maria Klodt and Andrea Vedaldi},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {Supervising the New with the Old: Learning {SFM} from {SFM}},
   year = {2018}
  }
  

• Large scale evaluation of local image feature detectors on homography datasets, K. Lenc and A. Vedaldi, Proceedings of the British Machine Vision Conference (BMVC), 2018   

  @inproceedings{lenc18large,
   author = {Karel Lenc and Andrea Vedaldi},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Large scale evaluation of local image feature detectors on homography datasets},
   year = {2018}
  }
  

• ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking, O. Groth, F. Fuchs, I. Posner and A. Vedaldi, Proceedings of the European Conference on Computer Vision (ECCV), 2018    

  @inproceedings{groth18shapestacks,
   author = {Oliver Groth and Fabian B. Fuchs and Ingmar Posner and Andrea Vedaldi},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {{ShapeStacks}: Learning Vision-Based Physical Intuition for Generalised Object Stacking},
   year = {2018}
  }
  

• Semi-convolutional Operators for Instance Segmentation, D. Novotný, S. Albanie, D. Larlus and A. Vedaldi, Proceedings of the European Conference on Computer Vision (ECCV), 2018   

  @inproceedings{novotny18semi-convolutional,
   author = {David Novotn{\'{y}} and Samuel Albanie and Diane Larlus and Andrea Vedaldi},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {Semi-convolutional Operators for Instance Segmentation},
   year = {2018}
  }
  

• Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks, R. Fong and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018   

  @inproceedings{fong18net2vec,
   author = {Ruth Fong and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{Net2Vec}: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks},
   year = {2018}
  }
  

• MapNet: An Allocentric Spatial Memory for Mapping Environments, J. Henriques and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018   

  @inproceedings{henriques18mapnet,
   author = {Jo{\~{a}}o F. Henriques and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{MapNet}: An Allocentric Spatial Memory for Mapping Environments},
   year = {2018}
  }
  

• Efficient Parametrization of Multi-Domain Deep Neural Networks, S. Rebuffi, H. Bilen and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018    

  @inproceedings{rebuffi18efficient,
   author = {Sylvestre{-}Alvise Rebuffi and Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Efficient Parametrization of Multi-Domain Deep Neural Networks},
   year = {2018}
  }
  

• Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection, D. Novotný, S. Albanie, D. Larlus and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018   

  @inproceedings{novotny18self-supervised,
   author = {David Novotn{\'{y}} and Samuel Albanie and Diane Larlus and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection},
   year = {2018}
  }
  

• Deep Image Prior, D. Ulyanov, A. Vedaldi and V. Lempitsky, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018    

  @inproceedings{ulyanov18deep,
   author = {Dmitry Ulyanov and Andrea Vedaldi and Victor S. Lempitsky},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Deep Image Prior},
   year = {2018}
  }
  

• It Takes (Only) Two: Adversarial Generator-Encoder Networks, D. Ulyanov, A. Vedaldi and V. Lempitsky, Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI), 2018   

  @inproceedings{ulyanov18takes,
   author = {Dmitry Ulyanov and Andrea Vedaldi and Victor S. Lempitsky},
   booktitle = {Proceedings of the Association for the Advancement of Artificial Intelligence ({AAAI})},
   title = {It Takes {(Only)} Two: Adversarial Generator-Encoder Networks},
   year = {2018}
  }
  

• Action Recognition with Dynamic Image Networks, H. Bilen, B. Fernando, E. Gavves and A. Vedaldi, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018   

  @article{bilen18action,
   author = {Hakan Bilen and Basura Fernando and Efstratios Gavves and Andrea Vedaldi},
   journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence},
   number = {12},
   title = {Action Recognition with Dynamic Image Networks},
   volume = {40},
   year = {2018}
  }
  

2017

• Generalizing Semantic Part Detectors Across Domains, D. Novotný, D. Larlus and A. Vedaldi, Domain Adaptation in Computer Vision Applications, 2017

  @incollection{novotny17generalizing,
   author = {David Novotn{\'{y}} and Diane Larlus and Andrea Vedaldi},
   booktitle = {Domain Adaptation in Computer Vision Applications},
   pages = {259--273},
   publisher = {Springer, Cham},
   title = {Generalizing Semantic Part Detectors Across Domains},
   year = {2017}
  }
  

• Unsupervised learning of object frames by dense equivariant image labelling, J. Thewlis, H. Bilen and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2017   

  @inproceedings{thewlis17dense,
   author = {James Thewlis and Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Unsupervised learning of object frames by dense equivariant image labelling},
   year = {2017}
  }
  

  (oral presentation)
• Learning multiple visual domains with residual adapters, S. Rebuffi, H. Bilen and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2017    

  @inproceedings{rebuffi17learning,
   author = {Sylvestre{-}Alvise Rebuffi and Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Learning multiple visual domains with residual adapters},
   year = {2017}
  }
  

• Learning 3D Object Categories by Looking Around Them, D. Novotný, D. Larlus and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2017   

  @inproceedings{novotny17learning,
   author = {David Novotn{\'{y}} and Diane Larlus and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Learning {3D} Object Categories by Looking Around Them},
   year = {2017}
  }
  

  (oral presentation)
• Interpretable Explanations of Black Boxes by Meaningful Perturbation, R. Fong and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2017   

  @inproceedings{fong17interpretable,
   author = {Ruth C. Fong and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Interpretable Explanations of Black Boxes by Meaningful Perturbation},
   year = {2017}
  }
  

• Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings, J. Thewlis, H. Bilen and A. Vedaldi, Proceedings of the International Conference on Computer Vision (ICCV), 2017   

  @inproceedings{thewlis17unsupervised,
   author = {James Thewlis and Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings},
   year = {2017}
  }
  

  (oral presentation)
• Warped Convolutions: Efficient Invariance to Spatial Transformations, J. Henriques and A. Vedaldi, Proceedings of the International Conference on Machine Learning (ICML), 2017   

  @inproceedings{henriques17warped,
   author = {Jo{\~{a}}o F. Henriques and Andrea Vedaldi},
   booktitle = {Proceedings of the International Conference on Machine Learning ({ICML})},
   title = {Warped Convolutions: Efficient Invariance to Spatial Transformations},
   year = {2017}
  }
  

• End-to-End Representation Learning for Correlation Filter Based Tracking, J. Valmadre, L. Bertinetto, J. Henriques, A. Vedaldi and P. Torr, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017   

  @inproceedings{bertinetto17end-to-end,
   author = {Jack Valmadre and Luca Bertinetto and Jo{\~{a}}o F. Henriques and Andrea Vedaldi and Philip H. S. Torr},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {End-to-End Representation Learning for Correlation Filter Based Tracking},
   year = {2017}
  }
  

• Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis, D. Ulyanov, A. Vedaldi and V. Lempitsky, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017  

  @inproceedings{ulyanov17improved,
   author = {Dmitry Ulyanov and Andrea Vedaldi and Victor S. Lempitsky},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis},
   year = {2017}
  }
  

• AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching, D. Novotný, D. Larlus and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017   

  @inproceedings{novotny17anchornet,
   author = {David Novotn{\'{y}} and Diane Larlus and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{AnchorNet}: {A} Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching},
   year = {2017}
  }
  

• HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors, V. Balntas, K. Lenc, A. Vedaldi and K. Mikolajczyk, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017   

  @inproceedings{balntas17hpatch,
   author = {Vassileios Balntas and Karel Lenc and Andrea Vedaldi and Krystian Mikolajczyk},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {{HPatches}: {A} Benchmark and Evaluation of Handcrafted and Learned Local Descriptors},
   year = {2017}
  }
  

2016

• Fully-Convolutional Siamese Networks for Object Tracking, L. Bertinetto, J. Valmadre, J. Henriques, A. Vedaldi and P. Torr, ECCV Workshop on Computer Vision on Visual Object Tracking, 2016   

  @inproceedings{bertinetto16fully,
   author = {Luca Bertinetto and Jack Valmadre and Jo{\~{a}}o F. Henriques and Andrea Vedaldi and Philip H. S. Torr},
   booktitle = {{ECCV} Workshop on Computer Vision on Visual Object Tracking},
   title = {Fully-Convolutional Siamese Networks for Object Tracking},
   year = {2016}
  }
  

• Learning Covariant Feature Detectors, K. Lenc and A. Vedaldi, Proceedings of the ECCV workshop on Geometry Meets Deep Learning, 2016    

  @inproceedings{lenc16learning,
   author = {Karel Lenc and Andrea Vedaldi},
   booktitle = {Proceedings of the {ECCV} workshop on {Geometry Meets Deep Learning}},
   title = {Learning Covariant Feature Detectors},
   year = {2016}
  }
  

• Learning the semantic structure of objects from Web supervision, D. Novotný, D. Larlus and A. Vedaldi, Proceedings of the ECCV workshop on Geometry Meets Deep Learning, 2016   

  @inproceedings{novotny16learning,
   author = {David Novotn{\'{y}} and Diane Larlus and Andrea Vedaldi},
   booktitle = {Proceedings of the {ECCV} workshop on {Geometry Meets Deep Learning}},
   title = {Learning the semantic structure of objects from Web supervision},
   year = {2016}
  }
  

• Learning feed-forward one-shot learners, L. Bertinetto, J. Henriques, J. Valmadre, P. Torr and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2016   

  @inproceedings{bertinetto16learning,
   author = {Luca Bertinetto and Jo{\~{a}}o F. Henriques and Jack Valmadre and Philip H. S. Torr and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Learning feed-forward one-shot learners},
   year = {2016}
  }
  

• Integrated perception with recurrent multi-task neural networks, H. Bilen and A. Vedaldi, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2016   

  @inproceedings{bilen16integrated,
   author = {Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Integrated perception with recurrent multi-task neural networks},
   year = {2016}
  }
  

• Salient Deconvolutional Networks, A. Mahendran and A. Vedaldi, Proceedings of the European Conference on Computer Vision (ECCV), 2016   

  @inproceedings{mahendran16salient,
   author = {Aravindh Mahendran and Andrea Vedaldi},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {Salient Deconvolutional Networks},
   year = {2016}
  }
  

• I Have Seen Enough: Transferring Parts Across Categories, D. Novotný, D. Larlus and A. Vedaldi, Proceedings of the British Machine Vision Conference (BMVC), 2016   

  @inproceedings{novotny16i-have,
   author = {David Novotn{\'{y}} and Diane Larlus and Andrea Vedaldi},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {I Have Seen Enough: Transferring Parts Across Categories},
   year = {2016}
  }
  

• Fully-trainable deep matching, J. Thewlis, S. Zheng, P. Torr and A. Vedaldi, Proceedings of the British Machine Vision Conference (BMVC), 2016   

  @inproceedings{thewlis16fully-trainable,
   author = {James Thewlis and Shuai Zheng and Philip H. S. Torr and Andrea Vedaldi},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Fully-trainable deep matching},
   year = {2016}
  }
  

  (oral presentation)
• Learning Grimaces by Watching TV, S. Albanie and A. Vedaldi, Proceedings of the British Machine Vision Conference (BMVC), 2016    

  @inproceedings{albanie16learning,
   author = {Samuel Albanie and Andrea Vedaldi},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Learning Grimaces by Watching {TV}},
   year = {2016}
  }
  

• Visualizing Deep Convolutional Neural Networks Using Natural Pre-images, A. Mahendran and A. Vedaldi, International Journal of Computer Vision (IJCV), 2016   

  @article{mahendran16visualizing,
   author = {Aravindh Mahendran and Andrea Vedaldi},
   journal = {International Journal of Computer Vision ({IJCV})},
   number = {3},
   title = {Visualizing Deep Convolutional Neural Networks Using Natural Pre-images},
   volume = {120},
   year = {2016}
  }
  

• Texture Networks: Feed-forward Synthesis of Textures and Stylized Images, D. Ulyanov, V. Lebedev, A. Vedaldi and V. Lempitsky, Proceedings of the International Conference on Machine Learning (ICML), 2016   

  @inproceedings{ulyanov16texture,
   author = {Dmitry Ulyanov and Vadim Lebedev and Andrea Vedaldi and Victor S. Lempitsky},
   booktitle = {Proceedings of the International Conference on Machine Learning ({ICML})},
   title = {Texture Networks: Feed-forward Synthesis of Textures and Stylized Images},
   year = {2016}
  }
  

• Synthetic Data for Text Localisation in Natural Images, A. Gupta, A. Vedaldi and A. Zisserman, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016  

  @inproceedings{gupta16synthetic,
   author = {Ankush Gupta and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Synthetic Data for Text Localisation in Natural Images},
   year = {2016}
  }
  

• Dynamic Image Networks for Action Recognition, H. Bilen, B. Fernando, E. Gavves, A. Vedaldi and S. Gould, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016   

  @inproceedings{bilen16dynamic,
   author = {Hakan Bilen and Basura Fernando and Efstratios Gavves and Andrea Vedaldi and Stephen Gould},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Dynamic Image Networks for Action Recognition},
   year = {2016}
  }
  

  (oral presentation)
• Weakly Supervised Deep Detection Networks, H. Bilen and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016   

  @inproceedings{bilen16weakly,
   author = {Hakan Bilen and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Weakly Supervised Deep Detection Networks},
   year = {2016}
  }
  

• Deep Filter Banks for Texture Recognition, Description, and Segmentation, M. Cimpoi, S. Maji, I. Kokkinos and A. Vedaldi, International Journal of Computer Vision (IJCV), 2016   

  @article{cimpoi16deep,
   author = {Mircea Cimpoi and Subhransu Maji and Iasonas Kokkinos and Andrea Vedaldi},
   journal = {International Journal of Computer Vision ({IJCV})},
   number = {1},
   title = {Deep Filter Banks for Texture Recognition, Description, and Segmentation},
   volume = {118},
   year = {2016}
  }
  

• Reading Text in the Wild with Convolutional Neural Networks, M. Jaderberg, K. Simonyan, A. Vedaldi and A. Zisserman, International Journal of Computer Vision (IJCV), 2016  

  @article{jaderberg15reading,
   author = {Max Jaderberg and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
   journal = {International Journal of Computer Vision ({IJCV})},
   number = {1},
   title = {Reading Text in the Wild with Convolutional Neural Networks},
   volume = {116},
   year = {2016}
  }
  

2015

• Factorized appearances for object detection, J. Gonfaus, M. Pedersoli, J. Gonzàlez, A. Vedaldi and F. Roca, Computer Vision and Image Understanding, 2015  

  @article{gonfaus15factorized,
   author = {Josep M. Gonfaus and Marco Pedersoli and Jordi Gonz{\`{a}}lez and Andrea Vedaldi and F. Xavier Roca},
   journal = {Computer Vision and Image Understanding},
   pages = {92--101},
   title = {Factorized appearances for object detection},
   volume = {138},
   year = {2015}
  }
  

• Deep Face Recognition, O. Parkhi, A. Vedaldi and A. Zisserman, Proceedings of the British Machine Vision Conference (BMVC), 2015  

  @inproceedings{parkhi15deep,
   author = {Omkar M. Parkhi and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Deep Face Recognition},
   year = {2015}
  }
  

• MatConvNet: Convolutional Neural Networks for MATLAB, A. Vedaldi and K. Lenc, Proceedings of the 25th annual ACM international conference on Multimedia, 2015  

  @inproceedings{vedaldi15matconvnet,
   author = {Andrea Vedaldi and Karel Lenc},
   booktitle = {Proceedings of the 25th annual {ACM} international conference on Multimedia},
   title = {{MatConvNet}: Convolutional Neural Networks for {MATLAB}},
   year = {2015}
  }
  

• R-CNN minus R, K. Lenc and A. Vedaldi, Proceedings of the British Machine Vision Conference (BMVC), 2015  

  @inproceedings{lenc15rcnn,
   author = {Karel Lenc and Andrea Vedaldi},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {{R-CNN} minus {R}},
   year = {2015}
  }
  

  (oral presentation)
• Automatic Discovery and Optimization of Parts for Image Classification, S. Parizi, A. Vedaldi, A. Zisserman and P. Felzenszwalb, Proceedings of the International Conference on Learning Representations (ICLR), 2015  

  @inproceedings{parizi15automatic,
   author = {Sobhan Naderi Parizi and Andrea Vedaldi and Andrew Zisserman and Pedro F. Felzenszwalb},
   booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
   title = {Automatic Discovery and Optimization of Parts for Image Classification},
   year = {2015}
  }
  

• Deep filter banks for texture recognition and segmentation, M. Cimpoi, S. Maji and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015   

  @inproceedings{cimpoi15deep,
   author = {Mircea Cimpoi and Subhransu Maji and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Deep filter banks for texture recognition and segmentation},
   year = {2015}
  }
  

  (oral presentation)
• Understanding image representations by measuring their equivariance and equivalence, K. Lenc and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015  

  @inproceedings{lenc15understanding,
   author = {Karel Lenc and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Understanding image representations by measuring their equivariance and equivalence},
   year = {2015}
  }
  

  (oral presentation)
• Understanding deep image representations by inverting them, A. Mahendran and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015  

  @inproceedings{mahendran15understanding,
   author = {Aravindh Mahendran and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Understanding deep image representations by inverting them},
   year = {2015}
  }
  

  (oral presentation)

2014

• A coarse-to-fine approach for fast deformable object detection, M. Pedersoli, A. Vedaldi, J. Gonzàlez and F. Roca, Pattern Recognition, 2014  

  @article{pedersoli14coarse,
   author = {Marco Pedersoli and Andrea Vedaldi and Jordi Gonz{\`{a}}lez and F. Xavier Roca},
   journal = {Pattern Recognition},
   title = {A coarse-to-fine approach for fast deformable object detection},
   year = {2014}
  }
  

• Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition, M. Jaderberg, K. Simonyan, A. Vedaldi and A. Zisserman, NeurIPS Deep Learning Workshop, 2014  

  @inproceedings{jaderberg14synthetic,
   author = {M. Jaderberg and K. Simonyan and Andrea Vedaldi and A. Zisserman},
   booktitle = {{NeurIPS} Deep Learning Workshop},
   title = {Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition},
   year = {2014}
  }
  

• Deep Features for Text Spotting, M. Jaderberg, A. Vedaldi and A. Zisserman, Proceedings of the European Conference on Computer Vision (ECCV), 2014  

  @inproceedings{jaderberg14deep,
   author = {Max Jaderberg and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {Deep Features for Text Spotting},
   year = {2014}
  }
  

• Return of the Devil in the Details: Delving Deep into Convolutional Nets, K. Chatfield, K. Simonyan, A. Vedaldi and A. Zisserman, Proceedings of the British Machine Vision Conference (BMVC), 2014   

  @inproceedings{chatfield14return,
   author = {Ken Chatfield and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Return of the Devil in the Details: Delving Deep into Convolutional Nets},
   year = {2014}
  }
  

  (best paper award, oral presentation)
• Speeding up Convolutional Neural Networks with Low Rank Expansions, M. Jaderberg, A. Vedaldi and A. Zisserman, Proceedings of the British Machine Vision Conference (BMVC), 2014  

  @inproceedings{jaderberg14speeding,
   author = {Max Jaderberg and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Speeding up Convolutional Neural Networks with Low Rank Expansions},
   year = {2014}
  }
  

• Understanding Objects in Detail with Fine-Grained Attributes, A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, R. Girshick, J. Kannala, E. Rahtu, I. Kokkinos, M. Blaschko, D. Weiss, B. Taskar, K. Simonyan, N. Saphra and S. Mohamed, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014  poster,  

  @inproceedings{vedaldi14understanding,
   author = {Andrea Vedaldi and Siddharth Mahendran and Stavros Tsogkas and Subhransu Maji and Ross B. Girshick and Juho Kannala and Esa Rahtu and Iasonas Kokkinos and Matthew B. Blaschko and David J. Weiss and Ben Taskar and Karen Simonyan and Naomi Saphra and Sammy Mohamed},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Understanding Objects in Detail with Fine-Grained Attributes},
   year = {2014}
  }
  

• Describing Textures in the Wild, M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed and A. Vedaldi, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014   

  @inproceedings{cimpoi14describing,
   author = {Mircea Cimpoi and Subhransu Maji and Iasonas Kokkinos and Sammy Mohamed and Andrea Vedaldi},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Describing Textures in the Wild},
   year = {2014}
  }
  

• A Compact and Discriminative Face Track Descriptor, O. Parkhi, K. Simonyan, A. Vedaldi and A. Zisserman, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014  poster,

  @inproceedings{parkhi14compact,
   author = {Omkar M. Parkhi and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {A Compact and Discriminative Face Track Descriptor},
   year = {2014}
  }
  

  (oral presentation)
• Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps, K. Simonyan, A. Vedaldi and A. Zisserman, Proceedings of the International Conference on Learning Representations (ICLR), 2014  

  @inproceedings{simonyan14deep,
   author = {Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
   title = {Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps},
   year = {2014}
  }
  

• Learning Local Feature Descriptors Using Convex Optimisation, K. Simonyan, A. Vedaldi and A. Zisserman, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014  

  @article{simonyan14learning,
   author = {Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
   journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence},
   number = {8},
   title = {Learning Local Feature Descriptors Using Convex Optimisation},
   volume = {36},
   year = {2014}
  }
  

2013

• Deep Fisher Networks for Large-Scale Image Classification, K. Simonyan, A. Vedaldi and A. Zisserman, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2013  poster,  

  @inproceedings{simonyan13deep,
   author = {Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Deep Fisher Networks for Large-Scale Image Classification},
   year = {2013}
  }
  

  (NeurIPS spotlight)
• Fisher Vector Faces in the Wild, K. Simonyan, O. Parkhi, A. Vedaldi and A. Zisserman, Proceedings of the British Machine Vision Conference (BMVC), 2013  

  @inproceedings{simonyan13fisher,
   author = {Karen Simonyan and Omkar M. Parkhi and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Fisher Vector Faces in the Wild},
   year = {2013}
  }
  

  (oral presentation)
• Blocks That Shout: Distinctive Parts for Scene Classification, M. Juneja, A. Vedaldi, C. Jawahar and A. Zisserman, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013  

  @inproceedings{juneja13blocks,
   author = {Mayank Juneja and Andrea Vedaldi and C. V. Jawahar and Andrew Zisserman},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Blocks That Shout: Distinctive Parts for Scene Classification},
   year = {2013}
  }
  

2012

• Self-similar Sketch, A. Vedaldi and A. Zisserman, Proceedings of the European Conference on Computer Vision (ECCV), 2012  

  @inproceedings{vedaldi12self,
   author = {Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {Self-similar Sketch},
   year = {2012}
  }
  

• Descriptor Learning Using Convex Optimisation, K. Simonyan, A. Vedaldi and A. Zisserman, Proceedings of the European Conference on Computer Vision (ECCV), 2012  

  @inproceedings{simonyan12descriptor,
   author = {Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {Descriptor Learning Using Convex Optimisation},
   year = {2012}
  }
  

• On-the-fly specific person retrieval, O. Parkhi, A. Vedaldi and A. Zisserman, Proceedings of the Int. Workshop on Image Analysis for Multimedia Interactive Services, 2012  

  @inproceedings{parkhi12spotting,
   author = {Omkar M. Parkhi and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the Int. Workshop on Image Analysis for Multimedia Interactive Services},
   title = {On-the-fly specific person retrieval},
   year = {2012}
  }
  

• Sparse kernel approximations for efficient classification and detection, A. Vedaldi and A. Zisserman, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012  poster,

  @inproceedings{vedaldi12sparse,
   author = {Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Sparse kernel approximations for efficient classification and detection},
   year = {2012}
  }
  

• Cats and dogs, O. Parkhi, A. Vedaldi, A. Zisserman and C. Jawahar, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012  

  @inproceedings{parkhi12cat,
   author = {Omkar M. Parkhi and Andrea Vedaldi and Andrew Zisserman and C. V. Jawahar},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Cats and dogs},
   year = {2012}
  }
  

• Efficient Additive Kernels via Explicit Feature Maps, A. Vedaldi and A. Zisserman, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012  

  @article{vedaldi11efficient,
   author = {Andrea Vedaldi and Andrew Zisserman},
   journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence},
   number = {3},
   title = {Efficient Additive Kernels via Explicit Feature Maps},
   volume = {34},
   year = {2012}
  }
  

2011

• Pylon Model for Semantic Segmentation, V. Lempitsky, A. Vedaldi and A. Zisserman, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2011  

  @inproceedings{lempitsky11pylon,
   author = {Victor S. Lempitsky and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Pylon Model for Semantic Segmentation},
   year = {2011}
  }
  

• The devil is in the details: an evaluation of recent feature encoding methods, K. Chatfield, V. Lempitsky, A. Vedaldi and A. Zisserman, Proceedings of the British Machine Vision Conference (BMVC), 2011   

  @inproceedings{chatfield11devil,
   author = {Ken Chatfield and Victor S. Lempitsky and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {The devil is in the details: an evaluation of recent feature encoding methods},
   year = {2011}
  }
  

• The truth about cats and dogs, O. Parkhi, A. Vedaldi, C. Jawahar and A. Zisserman, Proceedings of the International Conference on Computer Vision (ICCV), 2011  

  @inproceedings{parkhi11truth,
   author = {Omkar M. Parkhi and Andrea Vedaldi and C. V. Jawahar and Andrew Zisserman},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {The truth about cats and dogs},
   year = {2011}
  }
  

• Learning equivariant structured output SVM regressors, A. Vedaldi, M. Blaschko and A. Zisserman, Proceedings of the International Conference on Computer Vision (ICCV), 2011  poster,

  @inproceedings{vedaldi11learning,
   author = {Andrea Vedaldi and Matthew B. Blaschko and Andrew Zisserman},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Learning equivariant structured output {SVM} regressors},
   year = {2011}
  }
  

• A coarse-to-fine approach for fast deformable object detection, M. Pedersoli, A. Vedaldi and J. Gonzàlez, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011  

  @inproceedings{pedersoli11coarse,
   author = {Marco Pedersoli and Andrea Vedaldi and Jordi Gonz{\`{a}}lez},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {A coarse-to-fine approach for fast deformable object detection},
   year = {2011}
  }
  

  (oral presentation)

2010

• Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition, A. Vedaldi, H. Ling and S. Soatto, Computer Vision: Detection, Recognition and Reconstruction, 2010  

  @incollection{vedaldi10knowing,
   author = {Andrea Vedaldi and Haibin Ling and Stefano Soatto},
   booktitle = {Computer Vision: Detection, Recognition and Reconstruction},
   pages = {27-49},
   publisher = {Springer},
   title = {Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition},
   volume = {285},
   year = {2010}
  }
  

• VLFeat: an open and portable library of computer vision algorithms, A. Vedaldi and B. Fulkerson, Proceedings of the 18th annual ACM international conference on Multimedia, 2010  

  @inproceedings{vedaldi10vlfeat,
   author = {Andrea Vedaldi and Brian Fulkerson},
   booktitle = {Proceedings of the 18th annual {ACM} international conference on Multimedia},
   title = {{VLFeat}: an open and portable library of computer vision algorithms},
   year = {2010}
  }
  

  (Winner of the ACM Open Source Software Competition 2010)
• Simultaneous Object Detection and Ranking with Weak Supervision, M. Blaschko, A. Vedaldi and A. Zisserman, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2010  

  @inproceedings{blaschko10simultaneous,
   author = {Matthew B. Blaschko and Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Simultaneous Object Detection and Ranking with Weak Supervision},
   year = {2010}
  }
  

• Generalized RBF feature maps for Efficient Detection, S. Vempati, A. Vedaldi, A. Zisserman and C. Jawahar, Proceedings of the British Machine Vision Conference (BMVC), 2010

  @inproceedings{vempati10generalized,
   author = {Sreekanth Vempati and Andrea Vedaldi and Andrew Zisserman and C. V. Jawahar},
   booktitle = {Proceedings of the British Machine Vision Conference ({BMVC})},
   title = {Generalized {RBF} feature maps for Efficient Detection},
   year = {2010}
  }
  

• Efficient additive kernels via explicit feature maps, A. Vedaldi and A. Zisserman, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010  poster,

  @inproceedings{vedaldi10efficient,
   author = {Andrea Vedaldi and Andrew Zisserman},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Efficient additive kernels via explicit feature maps},
   year = {2010}
  }
  

2009

• Structured output regression for detection with partial occulsion, A. Vedaldi and A. Zisserman, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2009  

  @inproceedings{vedaldi09structured,
   author = {Andrea Vedaldi and A. Zisserman},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
   title = {Structured output regression for detection with partial occulsion},
   year = {2009}
  }
  

• Multiple kernels for object detection, A. Vedaldi, V. Gulshan, M. Varma and A. Zisserman, Proceedings of the International Conference on Computer Vision (ICCV), 2009  

  @inproceedings{vedaldi09multiple,
   author = {Andrea Vedaldi and Varun Gulshan and Manik Varma and Andrew Zisserman},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Multiple kernels for object detection},
   year = {2009}
  }
  

  (Winner of the PASCAL Visual Object Classification challenge 2009)
• Class segmentation and object localization with superpixel neighborhoods, B. Fulkerson, A. Vedaldi and S. Soatto, Proceedings of the International Conference on Computer Vision (ICCV), 2009  

  @inproceedings{fulkerson09class,
   author = {Brian Fulkerson and Andrea Vedaldi and Stefano Soatto},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Class segmentation and object localization with superpixel neighborhoods},
   year = {2009}
  }
  

2008

• Localizing Objects with Smart Dictionaries, B. Fulkerson, A. Vedaldi and S. Soatto, Proceedings of the European Conference on Computer Vision (ECCV), 2008  

  @inproceedings{fulkerson08localizing,
   author = {Brian Fulkerson and Andrea Vedaldi and Stefano Soatto},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {Localizing Objects with Smart Dictionaries},
   year = {2008}
  }
  

• Quick Shift and Kernel Methods for Mode Seeking, A. Vedaldi and S. Soatto, Proceedings of the European Conference on Computer Vision (ECCV), 2008  

  @inproceedings{vedaldi08quick,
   author = {Andrea Vedaldi and Stefano Soatto},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   title = {Quick Shift and Kernel Methods for Mode Seeking},
   year = {2008}
  }
  

• Relaxed Matching Kernels for Object Recognition, A. Vedaldi and S. Soatto, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008  poster,

  @inproceedings{vedaldi08relaxed,
   author = {Andrea Vedaldi and Stefano Soatto},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Relaxed Matching Kernels for Object Recognition},
   year = {2008}
  }
  

• Joint data alignment up to (lossy) transformations, A. Vedaldi, G. Guidi and S. Soatto, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008  poster,

  @inproceedings{vedaldi08joint,
   author = {Andrea Vedaldi and Gregorio Guidi and Stefano Soatto},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Joint data alignment up to (lossy) transformations},
   year = {2008}
  }
  

• Invariant Representations and Learning for Computer Vision, A. Vedaldi, University of California at Los Angeles, 2008  

  @phdthesis{vedaldi08invariant,
   author = {Andrea Vedaldi},
   school = {University of California at Los Angeles},
   title = {Invariant Representations and Learning for Computer Vision},
   year = {2008}
  }
  

2007

• Objects in Context, A. Rabinovich, A. Vedaldi, C. Galleguillos, E. Wiewiora and S. Belongie, Proceedings of the International Conference on Computer Vision (ICCV), 2007  

  @inproceedings{rabinovich07objects,
   author = {Andrew Rabinovich and Andrea Vedaldi and Carolina Galleguillos and Eric Wiewiora and Serge J. Belongie},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Objects in Context},
   year = {2007}
  }
  

  (oral presentation)
• Boosting Invariance and Efficiency in Supervised Learning, A. Vedaldi, P. Favaro and E. Grisan, Proceedings of the International Conference on Computer Vision (ICCV), 2007  

  @inproceedings{vedaldi07boosting,
   author = {Andrea Vedaldi and Paolo Favaro and Enrico Grisan},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Boosting Invariance and Efficiency in Supervised Learning},
   year = {2007}
  }
  

  (oral presentation)
• Moving Forward in Structure From Motion, A. Vedaldi, G. Guidi and S. Soatto, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007  

  @inproceedings{vedaldi07moving,
   author = {Andrea Vedaldi and Gregorio Guidi and Stefano Soatto},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Moving Forward in Structure From Motion},
   year = {2007}
  }
  

• Inertial structure from motion with autocalibration, E. Jones, A. Vedaldi and S. Soatto, Proceedings of ICCV Workshop on Dynamical Vision, 2007  

  @inproceedings{jones07inertial,
   author = {Eagle Jones and Andrea Vedaldi and Stefano Soatto},
   booktitle = {Proceedings of {ICCV} Workshop on Dynamical Vision},
   title = {Inertial structure from motion with autocalibration},
   year = {2007}
  }
  

• A Complexity-Distrotion Approach to Joint Pattern Alignment, A. Vedaldi and S. Soatto, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2007  

  @inproceedings{vedaldi07complexity,
   author = {Andrea Vedaldi and Stefano Soatto},
   booktitle = {Proceedings of Advances in Neural Information Processing Systems ({NeurIPS})},
   title = {A Complexity-Distrotion Approach to Joint Pattern Alignment},
   year = {2007}
  }
  

• An open implementation of the SIFT detector and descriptor, A. Vedaldi, UCLA CSD, 2007  

  @techreport{vedaldi07open,
   author = {Andrea Vedaldi},
   institution = {{UCLA CSD}},
   number = {070012},
   title = {An open implementation of the {SIFT} detector and descriptor},
   year = {2007}
  }
  

2006

• Local Features, All Grown Up, A. Vedaldi and S. Soatto, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006  

  @inproceedings{vedaldi06local,
   author = {Andrea Vedaldi and Stefano Soatto},
   booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
   title = {Local Features, All Grown Up},
   year = {2006}
  }
  

  (oral presentation)
• Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions, A. Vedaldi and S. Soatto, Proceedings of the European Conference on Computer Vision (ECCV), 2006  

  @inproceedings{vedaldi06viewpoint,
   author = {Andrea Vedaldi and Stefano Soatto},
   booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},
   pages = {374},
   title = {Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions},
   year = {2006}
  }
  

2005

• Features for Recognition: Viewpoint Invariance for Non-Planar Scenes, A. Vedaldi and S. Soatto, Proceedings of the International Conference on Computer Vision (ICCV), 2005  

  @inproceedings{vedaldi05features,
   author = {Andrea Vedaldi and Stefano Soatto},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {Features for Recognition: Viewpoint Invariance for Non-Planar Scenes},
   year = {2005}
  }
  

  (oral presentation)
• KALMANSAC: Robust Filtering by Consensus, A. Vedaldi, H. Jin, P. Favaro and S. Soatto, Proceedings of the International Conference on Computer Vision (ICCV), 2005  

  @inproceedings{vedaldi05kalmansac,
   author = {Andrea Vedaldi and Hailin Jin and Paolo Favaro and Stefano Soatto},
   booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
   title = {{KALMANSAC:} Robust Filtering by Consensus},
   year = {2005}
  }
  

• On Viewpoint Invariance for Non-Planar Scenes, A. Vedaldi and S. Soatto, UCLA CSD, 2005

  @techreport{vedaldiTR05viewpoint,
   author = {Andrea Vedaldi and Stefano Soatto},
   institution = {{UCLA} {CSD}},
   number = {050012},
   title = {On Viewpoint Invariance for Non-Planar Scenes},
   year = {2005}
  }