Vedaldi, Andrea

171 publications

CVPR 2025 3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes Jan Held, Renaud Vandeghen, Abdullah Hamdi, Adrien Deliege, Anthony Cioppa, Silvio Giancola, Andrea Vedaldi, Bernard Ghanem, Marc Van Droogenbroeck

ICCV 2025 Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images Tianhao Wu, Chuanxia Zheng, Frank Guan, Andrea Vedaldi, Tat-Jen Cham

NeurIPS 2025 AutoPartGen: Autoregressive 3D Part Generation and Discovery Minghao Chen, Jianyuan Wang, Roman Shapovalov, Tom Monnier, Hyunyoung Jung, Dilin Wang, Rakesh Ranjan, Iro Laina, Andrea Vedaldi

ICCV 2025 Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction Weirong Chen, Ganlin Zhang, Felix Wimbauer, Rui Wang, Nikita Araslanov, Andrea Vedaldi, Daniel Cremers

ICCV 2025 CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos Nikita Karaev, Yuri Makarov, Jianyuan Wang, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht

ICCV 2025 DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi

CVPR 2025 DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Ben Kaye, Tomas Jakab, Shangzhe Wu, Christian Ruprecht, Andrea Vedaldi

ICCV 2025 Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction Edgar Sucar, Zihang Lai, Eldar Insafutdinov, Andrea Vedaldi

ICML 2025 Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos

ICCV 2025 Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction Zeren Jiang, Chuanxia Zheng, Iro Laina, Diane Larlus, Andrea Vedaldi

CVPR 2025 Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos Vadim Tschernezki, Diane Larlus, Iro Laina, Andrea Vedaldi

CVPR 2025 PartGen: Part-Level 3D Generation and Reconstruction with Multi-View Diffusion Models Minghao Chen, Roman Shapovalov, Iro Laina, Tom Monnier, Jianyuan Wang, David Novotny, Andrea Vedaldi

ICCV 2025 Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi

ICCV 2025 SynCity: Training-Free Generation of 3D Worlds Paul Engstler, Aleksandar Shtedritski, Iro Laina, Christian Rupprecht, Andrea Vedaldi

CVPR 2025 Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better Zihang Lai, Andrea Vedaldi

CVPR 2025 Twinner: Shining Light on Digital Twins in a Few Snaps Jesus Zarzar, Tom Monnier, Roman Shapovalov, Andrea Vedaldi, David Novotny

CVPR 2025 UnCommon Objects in 3D Xingchen Liu, Piyush Tayal, Jianyuan Wang, Jesus Zarzar, Tom Monnier, Konstantinos Tertikas, Jiali Duan, Antoine Toisoul, Jason Y. Zhang, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotny

CVPR 2025 VGGT: Visual Geometry Grounded Transformer Jianyuan Wang, Minghao Chen, Nikita Karaev, Andrea Vedaldi, Christian Rupprecht, David Novotny

ICCV 2025 VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory Runjia Li, Philip Torr, Andrea Vedaldi, Tomas Jakab

ECCV 2024 CoTracker: It Is Better to Track Together Nikita Karaev, Ignacio Rocco, Ben Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht

ECCV 2024 DGE: Direct Gaussian 3D Editing by Consistent Multi-View Editing Minghao Chen, Iro Laina, Andrea Vedaldi

ECCV 2024 Diffusion Models for Open-Vocabulary Segmentation Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht

ECCV 2024 DragAPart: Learning a Part-Level Motion Prior for Articulated Objects Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi

CVPR 2024 Free3D: Consistent Novel View Synthesis Without 3D Representation Chuanxia Zheng, Andrea Vedaldi

CVPR 2024 GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi

ECCV 2024 GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning Animesh Karnewar, Roman Shapovalov, Tom Monnier, Andrea Vedaldi, Niloy J. Mitra, David Novotny

ICML 2024 IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos

ECCV 2024 Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark

NeurIPS 2024 Learning Segmentation from Point Trajectories Laurynas Karazija, Iro Laina, Christian Rupprecht, Andrea Vedaldi

CVPR 2024 Learning the 3D Fauna of the Web Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu

NeurIPS 2024 MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views Yuedong Chen, Chuanxia Zheng, Haofei Xu, Bohan Zhuang, Andrea Vedaldi, Tat-Jen Cham, Jianfei Cai

NeurIPS 2024 Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotny

ECCV 2024 N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields Yash Bhalgat, Iro Laina, Joao F Henriques, Andrew Zisserman, Andrea Vedaldi

CVPRW 2024 Neural Fields for Co-Reconstructing 3D Objects from Incidental 2D Data Dylan Campbell, Eldar Insafutdinov, João F. Henriques, Andrea Vedaldi

CVPR 2024 SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds Minghao Chen, Junyu Xie, Iro Laina, Andrea Vedaldi

ECCV 2024 SHIC: Shape-Image Correspondences with No Keypoint Supervision Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi

CVPR 2024 Splatter Image: Ultra-Fast Single-View 3D Reconstruction Stanislaw Szymanowicz, Chrisitian Rupprecht, Andrea Vedaldi

WACV 2024 Training-Free Layout Control with Cross-Attention Guidance Minghao Chen, Iro Laina, Andrea Vedaldi

CVPR 2023 Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotny

CVPR 2023 Continual Detection Transformer for Incremental Object Detection Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht

NeurIPS 2023 Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman

CVPR 2023 DynamicStereo: Consistent Dynamic Depth from Stereo Videos Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht

NeurIPS 2023 EPIC Fields: Marrying 3D Geometry and Video Understanding Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi

CVPR 2023 HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images Animesh Karnewar, Andrea Vedaldi, David Novotny, Niloy J. Mitra

ICCV 2023 HoloFusion: Towards Photo-Realistic 3D Generative Modeling Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotny

ICCVW 2023 Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation Aleksandar Shtedritski, Andrea Vedaldi, Christian Rupprecht

CVPR 2023 MagicPony: Learning Articulated 3D Animals in the Wild Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi

NeurIPS 2023 No Representation Rules Them All in Category Discovery Sagar Vaze, Andrea Vedaldi, Andrew Zisserman

CVPR 2023 Novel-View Acoustic Synthesis Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi

ICCV 2023 Online Clustered Codebook Chuanxia Zheng, Andrea Vedaldi

CVPR 2023 PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi

CVPR 2023 RealFusion: 360deg Reconstruction of Any Object from a Single Image Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi

ICCV 2023 Replay: Multi-Modal Multi-View Acted Videos for Casual Holography Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotny, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Ben Graham, Natalia Neverova

WACV 2023 Self-Supervised Correspondence Estimation via Multiview Registration Mohamed El Banani, Ignacio Rocco, David Novotny, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Ben Graham

ICML 2023 Text-to-4D Dynamic Scene Generation Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman

ICCV 2023 Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi

ICCV 2023 What Does CLIP Know About a Red Circle? Visual Prompt Engineering for VLMs Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi

CVPR 2022 BANMo: Building Animatable 3D Neural Models from Many Casual Videos Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo

CVPR 2022 Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi

ECCV 2022 End-to-End Visual Editing with a Generatively Pre-Trained Artist Andrew Brown, Cheng-Yang Fu, Omkar Parkhi, Tamara L. Berg, Andrea Vedaldi

ICLR 2022 Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi

CVPR 2022 Generalized Category Discovery Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman

CVPR 2022 KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos David Novotny, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi

ICLR 2022 Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing Iro Laina, Yuki M Asano, Andrea Vedaldi

ICLR 2022 Open-Set Recognition: A Good Closed-Set Classifier Is All You Need Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman

ECCV 2022 SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi

CVPR 2022 Self-Supervised Object Detection from Audio-Visual Correspondence Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, Florian Metze

CoLLAs 2022 Test Sample Accuracy Scales with Training Sample Density in Neural Networks Xu Ji, Razvan Pascanu, R. Devon Hjelm, Balaji Lakshminarayanan, Andrea Vedaldi

ICMLW 2022 The Semantic Shift Benchmark Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman

NeurIPS 2022 Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi

ICCV 2021 DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension Roman Shapovalov, David Novotny, Benjamin Graham, Patrick Labatut, Andrea Vedaldi

CVPR 2021 Discovering Relationships Between Object Categories via Universal Canonical Maps Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, Andrea Vedaldi

NeurIPS 2021 Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers Mandela Patrick, Dylan Campbell, Yuki Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques

ICCVW 2021 LSD-C: Linearly Separable Deep Clusters Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman

CVPR 2021 Localizing Visual Sounds the Hard Way Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman

CVPR 2021 NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go Marvin Eisenberger, David Novotny, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi

ICCV 2021 On Compositions of Transformations in Contrastive Self-Supervised Learning Mandela Patrick, Yuki M. Asano, Polina Kuznetsova, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi

NeurIPSW 2021 PASS: An ImageNet Replacement for Self-Supervised Pretraining Without Humans Yuki M Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi

CVPR 2021 Pedestrian and Ego-Vehicle Trajectory Prediction from Monocular Camera Lukas Neumann, Andrea Vedaldi

ICCV 2021 Space-Time Crop & Attend: Improving Cross-Modal Video Representation Learning Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M. Asano, João F. Henriques

ICLR 2021 Support-Set Bottlenecks for Video-Text Representation Learning Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander G Hauptmann, Joao F. Henriques, Andrea Vedaldi

CVPR 2021 Unsupervised Learning of 3D Object Categories from Videos in the Wild Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotny

IJCAI 2021 Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract) Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi

NeurIPS 2021 Unsupervised Part Discovery from Contrastive Reconstruction Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi

NeurIPS 2020 3D Multi-Bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data Benjamin Biggs, David Novotny, Sebastien Ehrhardt, Hanbyul Joo, Ben Graham, Andrea Vedaldi

ICLR 2020 A Critical Analysis of Self-Supervision, or What We Can Learn from a Single Image Yuki M. Asano, Christian Rupprecht, Andrea Vedaldi

ICLR 2020 Automatically Discovering and Learning New Visual Categories with Ranking Statistics Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman

NeurIPS 2020 Canonical 3D Deformer Maps: Unifying Parametric and Non-Parametric Methods for Dense Weakly-Supervised Category Reconstruction David Novotny, Roman Shapovalov, Andrea Vedaldi

NeurIPS 2020 Continuous Surface Embeddings Natalia Neverova, David Novotny, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi

NeurIPS 2020 Labelling Unlabelled Videos from Scratch with Multi-Modal Self-Supervision Yuki Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi

NeurIPS 2020 Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning Iro Laina, Ruth Fong, Andrea Vedaldi

NeurIPS 2020 RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces Sebastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy Mitra, Andrea Vedaldi

ICLR 2020 Self-Labelling via Simultaneous Clustering and Representation Learning Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi

CVPRW 2020 Semi-Supervised Learning with Scarce Annotations Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman

NeurIPS 2019 Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels Natalia Neverova, David Novotny, Andrea Vedaldi

NeurIPS 2019 Fixing the Train-Test Resolution Discrepancy Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Herve Jegou

CVPRW 2019 Future Event Prediction: If and When Lukás Neumann, Andrew Zisserman, Andrea Vedaldi

ICLR 2019 Meta-Learning with Differentiable Closed-Form Solvers Luca Bertinetto, Joao F. Henriques, Philip Torr, Andrea Vedaldi

NeurIPS 2018 Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi

AAAI 2018 It Takes (Only) Two: Adversarial Generator-Encoder Networks Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky

ECCV 2018 Long-Term Tracking in the Wild: A Benchmark Jack Valmadre, Luca Bertinetto, Joao F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W.M. Smeulders, Philip H.S. Torr, Efstratios Gavves

NeurIPS 2018 Modelling and Unsupervised Learning of Symmetric Deformable Object Categories James Thewlis, Hakan Bilen, Andrea Vedaldi

ECCVW 2018 Self-Supervised Segmentation by Grouping Optical-Flow Aravindh Mahendran, James Thewlis, Andrea Vedaldi

ECCV 2018 Semi-Convolutional Operators for Instance Segmentation David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi

ECCV 2018 ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking Oliver Groth, Fabian B. Fuchs, Ingmar Posner, Andrea Vedaldi

ECCV 2018 Supervising the New with the Old: Learning SFM from SFM Maria Klodt, Andrea Vedaldi

ECCVW 2018 The Sixth Visual Object Tracking VOT2018 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He

NeurIPS 2018 Unsupervised Learning of Object Landmarks Through Conditional Image Generation Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi

CVPR 2017 AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching David Novotny, Diane Larlus, Andrea Vedaldi

CVPR 2017 End-to-End Representation Learning for Correlation Filter Based Tracking Jack Valmadre, Luca Bertinetto, Joao Henriques, Andrea Vedaldi, Philip H. S. Torr

CVPR 2017 HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk

CVPR 2017 Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky

ICCV 2017 Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong, Andrea Vedaldi

ICCV 2017 Learning 3D Object Categories by Looking Around Them David Novotny, Diane Larlus, Andrea Vedaldi

NeurIPS 2017 Learning Multiple Visual Domains with Residual Adapters Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi

ICCVW 2017 The Visual Object Tracking VOT2017 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He

NeurIPS 2017 Unsupervised Learning of Object Frames by Dense Equivariant Image Labelling James Thewlis, Hakan Bilen, Andrea Vedaldi

ICCV 2017 Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings James Thewlis, Hakan Bilen, Andrea Vedaldi

ICML 2017 Warped Convolutions: Efficient Invariance to Spatial Transformations João F. Henriques, Andrea Vedaldi

CVPR 2016 Dynamic Image Networks for Action Recognition Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould

ECCV 2016 Fully-Convolutional Siamese Networks for Object Tracking Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr

ECCVW 2016 Fully-Convolutional Siamese Networks for Object Tracking Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr

NeurIPS 2016 Integrated Perception with Recurrent Multi-Task Neural Networks Hakan Bilen, Andrea Vedaldi

ECCV 2016 Learning Covariant Feature Detectors Karel Lenc, Andrea Vedaldi

ECCVW 2016 Learning Covariant Feature Detectors Karel Lenc, Andrea Vedaldi

NeurIPS 2016 Learning Feed-Forward One-Shot Learners Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip Torr, Andrea Vedaldi

ECCV 2016 Learning the Structure of Objects from Web Supervision David Novotný, Diane Larlus, Andrea Vedaldi

ECCVW 2016 Learning the Structure of Objects from Web Supervision David Novotný, Diane Larlus, Andrea Vedaldi

ECCV 2016 Salient Deconvolutional Networks Aravindh Mahendran, Andrea Vedaldi

CVPR 2016 Synthetic Data for Text Localisation in Natural Images Ankush Gupta, Andrea Vedaldi, Andrew Zisserman

ECCV 2016 The Visual Object Tracking VOT2016 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi

ECCVW 2016 The Visual Object Tracking VOT2016 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi

CVPR 2016 Weakly Supervised Deep Detection Networks Hakan Bilen, Andrea Vedaldi

ICLR 2015 Automatic Discovery and Optimization of Parts for Image Classification Sobhan Naderi Parizi, Andrea Vedaldi, Andrew Zisserman, Pedro F. Felzenszwalb

ICCVW 2015 Building the View Graph of a Category by Exploiting Image Realism Attila Szabó, Andrea Vedaldi, Paolo Favaro

CVPR 2015 Deep Filter Banks for Texture Recognition and Segmentation Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi

ICLR 2015 Deep Structured Output Learning for Unconstrained Text Recognition Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

CVPR 2015 Understanding Deep Image Representations by Inverting Them Aravindh Mahendran, Andrea Vedaldi

CVPR 2015 Understanding Image Representations by Measuring Their Equivariance and Equivalence Karel Lenc, Andrea Vedaldi

CVPR 2014 A Compact and Discriminative Face Track Descriptor Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

ECCV 2014 Deep Features for Text Spotting Max Jaderberg, Andrea Vedaldi, Andrew Zisserman

ICLR 2014 Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

CVPR 2014 Describing Textures in the Wild Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, Andrea Vedaldi

CVPR 2014 Understanding Objects in Detail with Fine-Grained Attributes Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed

CVPR 2013 Blocks That Shout: Distinctive Parts for Scene Classification Mayank Juneja, Andrea Vedaldi, C.V. Jawahar, Andrew Zisserman

NeurIPS 2013 Deep Fisher Networks for Large-Scale Image Classification Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

CVPR 2012 Cats and Dogs Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman, C. V. Jawahar

ECCV 2012 Descriptor Learning Using Convex Optimisation Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

ECCV 2012 Self-Similar Sketch Andrea Vedaldi, Andrew Zisserman

CVPR 2012 Sparse Kernel Approximations for Efficient Classification and Detection Andrea Vedaldi, Andrew Zisserman

CVPR 2011 A Coarse-to-Fine Approach for Fast Deformable Object Detection Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez

ICCV 2011 Learning Equivariant Structured Output SVM Regressors Andrea Vedaldi, Matthew B. Blaschko, Andrew Zisserman

NeurIPS 2011 Pylon Model for Semantic Segmentation Victor Lempitsky, Andrea Vedaldi, Andrew Zisserman

ICCV 2011 The Truth About Cats and Dogs Omkar M. Parkhi, Andrea Vedaldi, C. V. Jawahar, Andrew Zisserman

CVPR 2010 Efficient Additive Kernels via Explicit Feature Maps Andrea Vedaldi, Andrew Zisserman

NeurIPS 2010 Simultaneous Object Detection and Ranking with Weak Supervision Matthew Blaschko, Andrea Vedaldi, Andrew Zisserman

ICCV 2009 Class Segmentation and Object Localization with Superpixel Neighborhoods Brian Fulkerson, Andrea Vedaldi, Stefano Soatto

ICCV 2009 Multiple Kernels for Object Detection Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman

NeurIPS 2009 Structured Output Regression for Detection with Partial Truncation Andrea Vedaldi, Andrew Zisserman

CVPR 2008 Joint Data Alignment up to (lossy) Transformations Andrea Vedaldi, Gregorio Guidi, Stefano Soatto

ECCV 2008 Localizing Objects with Smart Dictionaries Brian Fulkerson, Andrea Vedaldi, Stefano Soatto

ECCV 2008 Quick Shift and Kernel Methods for Mode Seeking Andrea Vedaldi, Stefano Soatto

CVPR 2008 Relaxed Matching Kernels for Robust Image Comparison Andrea Vedaldi, Stefano Soatto

ICCV 2007 Boosting Invariance and Efficiency in Supervised Learning Andrea Vedaldi, Paolo Favaro, Enrico Grisan

CVPR 2007 Moving Forward in Structure from Motion Andrea Vedaldi, Gregorio Guidi, Stefano Soatto

ICCV 2007 Objects in Context Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora, Serge J. Belongie

NeurIPS 2006 A Complexity-Distortion Approach to Joint Pattern Alignment Andrea Vedaldi, Stefano Soatto

CVPR 2006 Local Features, All Grown up Andrea Vedaldi, Stefano Soatto

ECCV 2006 Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions Andrea Vedaldi, Stefano Soatto

ICCV 2005 Features for Recognition: Viewpoint Invariance for Non-Planar Scenes Andrea Vedaldi, Stefano Soatto

ICCV 2005 KALMANSAC: Robust Filtering by Consensus Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano Soatto