Andrea Vedaldi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
171
Venues
14
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
171 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGGRAPH | Go-with-the-Track: Video Compositing and Motion Control with Point Tracking. | Koichi Namekata, Yash Kant, Zhizheng Liu, Ryan Burgert, Yuancheng Xu, Kuan Heng Lin, Emmett Steven, Julien Philip, Li Ma, Andrea Vedaldi, Paul Debevec, Ning Yu |
| 2025 | CVPR | PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion Models. | Minghao Chen, Roman Shapovalov, Iro Laina, Tom Monnier, Jianyuan Wang, David Novotn, Andrea Vedaldi |
| 2025 | CVPR | 3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes. | Jan Held, Renaud Vandeghen, Abdullah Hamdi, Adrien Delige, Anthony Cioppa, Silvio Giancola, Andrea Vedaldi, Bernard Ghanem, Marc Van Droogenbroeck |
| 2025 | CVPR | DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction. | Ben Kaye, Tomas Jakab, Shangzhe Wu, Christian Ruprecht, Andrea Vedaldi |
| 2025 | CVPR | Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better. | Zihang Lai, Andrea Vedaldi |
| 2025 | CVPR | 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 Novotn |
| 2025 | CVPR | Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos. | Vadim Tschernezki, Diane Larlus, Iro Laina, Andrea Vedaldi |
| 2025 | CVPR | VGGT: Visual Geometry Grounded Transformer. | Jianyuan Wang, Minghao Chen, Nikita Karaev, Andrea Vedaldi, Christian Rupprecht, David Novotn |
| 2025 | CVPR | Twinner: Shining Light on Digital Twins in a Few Snaps. | Jesus Zarzar, Tom Monnier, Roman Shapovalov, Andrea Vedaldi, David Novotn |
| 2025 | ICCV | Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction. | Weirong Chen, Ganlin Zhang, Felix Wimbauer, Rui Wang, Nikita Araslanov, Andrea Vedaldi, Daniel Cremers |
| 2025 | ICCV | Syncity: Training-Free Generation of 3D Worlds. | Paul Engstler, Aleksandar Shtedritski, Iro Laina, Christian Rupprecht, Andrea Vedaldi |
| 2025 | ICCV | Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction. | Zeren Jiang, Chuanxia Zheng, Iro Laina, Diane Larlus, Andrea Vedaldi |
| 2025 | ICCV | CoTracker3: Simpler and Better Point Tracking by Pseudo-Labeling Real Videos. | Nikita Karaev, Yuri Makarov, Jianyuan Wang, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht |
| 2025 | ICCV | VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory. | Runjia Li, Philip Torr, Andrea Vedaldi, Tomas Jakab |
| 2025 | ICCV | Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics. | Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi |
| 2025 | ICCV | DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness. | Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi |
| 2025 | ICCV | Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction. | Edgar Sucar, Zihang Lai, Eldar Insafutdinov, Andrea Vedaldi |
| 2025 | ICCV | Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images. | Tianhao Wu, Chuanxia Zheng, Frank Guan, Andrea Vedaldi, Tat-Jen Cham |
| 2025 | ICML | Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation. | Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos |
| 2024 | ACCV | 3D-Aware Instance Segmentation and Tracking in Egocentric Videos. | Yash Bhalgat, Vadim Tschernezki, Iro Laina, Joo F. Henriques, Andrea Vedaldi, Andrew Zisserman |
| 2024 | CVPR | Neural Fields for Co-Reconstructing 3D Objects from Incidental 2D Data. | Dylan Campbell, Eldar Insafutdinov, Joo F. Henriques, Andrea Vedaldi |
| 2024 | CVPR | Shap-Editor: Instruction-guided Latent 3D Editing in Seconds. | Minghao Chen, Junyu Xie, Iro Laina, Andrea Vedaldi |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Splatter Image: Ultra-Fast Single-View 3D Reconstruction. | Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi |
| 2024 | CVPR | Free3D: Consistent Novel View Synthesis Without 3D Representation. | Chuanxia Zheng, Andrea Vedaldi |
| 2024 | ECCV | Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator. | Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark |
| 2024 | ECCV | N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. | Yash Bhalgat, Iro Laina, Joo F. Henriques, Andrew Zisserman, Andrea Vedaldi |
| 2024 | ECCV | DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing. | Minghao Chen, Iro Laina, Andrea Vedaldi |
| 2024 | ECCV | CoTracker: It Is Better to Track Together. | Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht |
| 2024 | ECCV | Diffusion Models for Open-Vocabulary Segmentation. | Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht |
| 2024 | ECCV | GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning. | Animesh Karnewar, Roman Shapovalov, Tom Monnier, Andrea Vedaldi, Niloy J. Mitra, David Novotn |
| 2024 | ECCV | DragAPart: Learning a Part-Level Motion Prior for Articulated Objects. | Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi |
| 2024 | ECCV | SHIC: Shape-Image Correspondences with No Keypoint Supervision. | Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi |
| 2024 | ICML | 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 |
| 2024 | WACV | Training-Free Layout Control with Cross-Attention Guidance. | Minghao Chen, Iro Laina, Andrea Vedaldi |
| 2023 | CVPR | Continual Detection Transformer for Incremental Object Detection. | Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht |
| 2023 | CVPR | Novel-View Acoustic Synthesis. | Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi |
| 2023 | CVPR | DynamicStereo: Consistent Dynamic Depth from Stereo Videos. | Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht |
| 2023 | CVPR | HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. | Animesh Karnewar, Andrea Vedaldi, David Novotn, Niloy J. Mitra |
| 2023 | CVPR | PC | Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi |
| 2023 | CVPR | RealFusion 360° Reconstruction of Any Object from a Single Image. | Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi |
| 2023 | CVPR | 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 Novotn |
| 2023 | CVPR | MagicPony: Learning Articulated 3D Animals in the Wild. | Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi |
| 2023 | ICCV | HoloFusion: Towards Photo-realistic 3D Generative Modeling. | Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotn |
| 2023 | ICCV | Replay: Multi-modal Multi-view Acted Videos for Casual Holography. | Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotn, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova |
| 2023 | ICCV | What does CLIP know about a red circle? Visual prompt engineering for VLMs. | Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi |
| 2023 | ICCV | Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data. | Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi |
| 2023 | ICCV | Online Clustered Codebook. | Chuanxia Zheng, Andrea Vedaldi |
| 2023 | ICML | 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 |
| 2023 | WACV | Self-supervised Correspondence Estimation via Multiview Registration. | Mohamed El Banani, Ignacio Rocco, David Novotn, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham |
| 2022 | BMVC | Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. | Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht |
| 2022 | CVPR | Self-supervised object detection from audio-visual correspondence. | Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, Florian Metze |
| 2022 | CVPR | Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. | Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi |
| 2022 | CVPR | KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. | David Novotn, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi |
| 2022 | CVPR | Generalized Category Discovery. | Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman |
| 2022 | CVPR | BANMo: Building Animatable 3D Neural Models from Many Casual Videos. | Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo |
| 2022 | ECCV | End-to-End Visual Editing with a Generatively Pre-trained Artist. | Andrew Brown, Cheng-Yang Fu, Omkar M. Parkhi, Tamara L. Berg, Andrea Vedaldi |
| 2022 | ECCV | SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. | Eldar Insafutdinov, Dylan Campbell, Joo F. Henriques, Andrea Vedaldi |
| 2022 | ICLR | Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing. | Iro Laina, Yuki M. Asano, Andrea Vedaldi |
| 2022 | ICLR | Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. | Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi |
| 2022 | ICLR | Open-Set Recognition: A Good Closed-Set Classifier is All You Need. | Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman |
| 2022 | ICRA | Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views. | Robert McCraith, Eldar Insafutdinov, Luks Neumann, Andrea Vedaldi |
| 2021 | BMVC | Audio-Visual Synchronisation in the wild. | Triantafyllos Afouras, Honglie Chen, Weidi Xie, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman |
| 2021 | BMVC | The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. | Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi |
| 2021 | CVPR | Localizing Visual Sounds the Hard Way. | Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman |
| 2021 | CVPR | NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. | Marvin Eisenberger, David Novotn, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi |
| 2021 | CVPR | Unsupervised Learning of 3D Object Categories From Videos in the Wild. | Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotn |
| 2021 | CVPR | Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera. | Luks Neumann, Andrea Vedaldi |
| 2021 | CVPR | Discovering Relationships Between Object Categories via Universal Canonical Maps. | Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotn, Andrea Vedaldi |
| 2021 | ICCV | Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. | Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M. Asano, Joo F. Henriques |
| 2021 | ICCV | On Compositions of Transformations in Contrastive Self-Supervised Learning. | Mandela Patrick, Yuki Markus Asano, Polina Kuznetsova, Ruth Fong, Joo F. Henriques, Geoffrey Zweig, Andrea Vedaldi |
| 2021 | ICCV | DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. | Roman Shapovalov, David Novotn, Benjamin Graham, Patrick Labatut, Andrea Vedaldi |
| 2021 | ICLR | Support-set bottlenecks for video-text representation learning. | Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, Joo F. Henriques, Andrea Vedaldi |
| 2021 | IJCAI | Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract). | Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi |
| 2021 | ICRA | Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives. | Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner |
| 2021 | IROS | Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. | Dan Xu, Andrea Vedaldi, Joo F. Henriques |
| 2020 | CVPR | Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos. | Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi |
| 2020 | CVPR | Semi-Supervised Learning with Scarce Annotations. | Sylvestre-Alvise Rebuffi, Sbastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman |
| 2020 | CVPR | There and Back Again: Revisiting Backpropagation Saliency Methods. | Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi |
| 2020 | CVPR | Transferring Dense Pose to Proximal Animal Classes. | Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova |
| 2020 | CVPR | Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. | Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi |
| 2020 | ICASSP | Vggsound: A Large-Scale Audio-Visual Dataset. | Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman |
| 2020 | ICLR | A critical analysis of self-supervision, or what we can learn from a single image. | Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi |
| 2020 | ICLR | Self-labelling via simultaneous clustering and representation learning. | Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi |
| 2020 | ICLR | Automatically Discovering and Learning New Visual Categories with Ranking Statistics. | Kai Han, Sylvestre-Alvise Rebuffi, Sbastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman |
| 2019 | BMVC | AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations. | Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman |
| 2019 | BMVC | Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. | Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner |
| 2019 | CVPR | Future Event Prediction: If and When. | Luks Neumann, Andrew Zisserman, Andrea Vedaldi |
| 2019 | CVPR | Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues. | Natalia Neverova, James Thewlis, Riza Alp Gler, Iasonas Kokkinos, Andrea Vedaldi |
| 2019 | ICCV | Understanding Deep Networks via Extremal Perturbations and Smooth Masks. | Ruth Fong, Mandela Patrick, Andrea Vedaldi |
| 2019 | ICCV | Learning to Discover Novel Visual Categories via Deep Transfer Clustering. | Kai Han, Andrea Vedaldi, Andrew Zisserman |
| 2019 | ICCV | Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. | Joo F. Henriques, Sbastien Ehrhardt, Samuel Albanie, Andrea Vedaldi |
| 2019 | ICCV | Invariant Information Clustering for Unsupervised Image Classification and Segmentation. | Xu Ji, Andrea Vedaldi, Joo F. Henriques |
| 2019 | ICCV | C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. | David Novotn, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi |
| 2019 | ICCV | Unsupervised Learning of Landmarks by Descriptor Vector Exchange. | James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi |
| 2019 | ICLR | Meta-learning with differentiable closed-form solvers. | Luca Bertinetto, Joo F. Henriques, Philip H. S. Torr, Andrea Vedaldi |
| 2018 | AAAI | It Takes (Only) Two: Adversarial Generator-Encoder Networks. | Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky |
| 2018 | ACCV | Unsupervised Intuitive Physics from Visual Observations. | Sbastien Ehrhardt, ron Monszpart, Niloy J. Mitra, Andrea Vedaldi |
| 2018 | ACCV | Cross Pixel Optical-Flow Similarity for Self-supervised Learning. | Aravindh Mahendran, James Thewlis, Andrea Vedaldi |
| 2018 | ACCV | NightOwls: A Pedestrians at Night Dataset. | Luks Neumann, Michelle Karg, Shanshan Zhang, Christian Scharfenberger, Eric Piegert, Sarah Mistr, Olga Prokofyeva, Robert Thiel, Andrea Vedaldi, Andrew Zisserman, Bernt Schiele |
| 2018 | ACCV | Tiny People Pose. | Luks Neumann, Andrea Vedaldi |
| 2018 | BMVC | Inductive Visual Localisation: Factorised Training for Superior Generalisation. | Ankush Gupta, Andrea Vedaldi, Andrew Zisserman |
| 2018 | BMVC | Large scale evaluation of local image feature detectors on homography datasets. | Karel Lenc, Andrea Vedaldi |
| 2018 | CVPR | Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks. | Ruth Fong, Andrea Vedaldi |
| 2018 | CVPR | MapNet: An Allocentric Spatial Memory for Mapping Environments. | Joo F. Henriques, Andrea Vedaldi |
| 2018 | CVPR | Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. | David Novotn, Samuel Albanie, Diane Larlus, Andrea Vedaldi |
| 2018 | CVPR | Efficient Parametrization of Multi-Domain Deep Neural Networks. | Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi |
| 2018 | CVPR | Deep Image Prior. | Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky |
| 2018 | ECCV | ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking. | Oliver Groth, Fabian B. Fuchs, Ingmar Posner, Andrea Vedaldi |
| 2018 | ECCV | Supervising the New with the Old: Learning SFM from SFM. | Maria Klodt, Andrea Vedaldi |
| 2018 | ECCV | The Sixth Visual Object Tracking VOT2018 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Toms Vojr, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernndez, lvaro Garca-Martn, lvaro Iglesias-Arias, A. Aydin Alatan, Abel Gonzlez-Garca, 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, Joo F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodrguez Herranz, Jos M. Martnez, 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-Moivar, 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 |
| 2018 | ECCV | Self-supervised Segmentation by Grouping Optical-Flow. | Aravindh Mahendran, James Thewlis, Andrea Vedaldi |
| 2018 | ECCV | Semi-convolutional Operators for Instance Segmentation. | David Novotn, Samuel Albanie, Diane Larlus, Andrea Vedaldi |
| 2018 | ECCV | Long-Term Tracking in the Wild: A Benchmark. | Jack Valmadre, Luca Bertinetto, Joo F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves |
| 2017 | CVPR | HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. | Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk |
| 2017 | CVPR | AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2017 | CVPR | Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis. | Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky |
| 2017 | CVPR | End-to-End Representation Learning for Correlation Filter Based Tracking. | Jack Valmadre, Luca Bertinetto, Joo F. Henriques, Andrea Vedaldi, Philip H. S. Torr |
| 2017 | ICCV | Interpretable Explanations of Black Boxes by Meaningful Perturbation. | Ruth C. Fong, Andrea Vedaldi |
| 2017 | ICCV | Learning 3D Object Categories by Looking Around Them. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2017 | ICCV | Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings. | James Thewlis, Hakan Bilen, Andrea Vedaldi |
| 2017 | ICML | Warped Convolutions: Efficient Invariance to Spatial Transformations. | Joo F. Henriques, Andrea Vedaldi |
| 2016 | BMVC | Learning Grimaces by Watching TV. | Samuel Albanie, Andrea Vedaldi |
| 2016 | BMVC | I Have Seen Enough: Transferring Parts Across Categories. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2016 | BMVC | Fully-trainable deep matching. | James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi |
| 2016 | CVPR | Dynamic Image Networks for Action Recognition. | Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould |
| 2016 | CVPR | Weakly Supervised Deep Detection Networks. | Hakan Bilen, Andrea Vedaldi |
| 2016 | CVPR | Synthetic Data for Text Localisation in Natural Images. | Ankush Gupta, Andrea Vedaldi, Andrew Zisserman |
| 2016 | ECCV | Fully-Convolutional Siamese Networks for Object Tracking. | Luca Bertinetto, Jack Valmadre, Joo F. Henriques, Andrea Vedaldi, Philip H. S. Torr |
| 2016 | ECCV | The Visual Object Tracking VOT2016 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Toms Vojr, Gustav Hger, Alan Lukezic, Gustavo Fernndez, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, lvaro Garca-Martn, Andrs Sols Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martnez, 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, Joo F. Henriques, Jochen Lang, Jongwon Choi, Jos M. Martnez, 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 Laganire, 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 Hbner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi |
| 2016 | ECCV | Learning Covariant Feature Detectors. | Karel Lenc, Andrea Vedaldi |
| 2016 | ECCV | Salient Deconvolutional Networks. | Aravindh Mahendran, Andrea Vedaldi |
| 2016 | ECCV | Learning the Structure of Objects from Web Supervision. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2016 | ICML | Texture Networks: Feed-forward Synthesis of Textures and Stylized Images. | Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, Victor S. Lempitsky |
| 2015 | BMVC | R-CNN minus R. | Karel Lenc, Andrea Vedaldi |
| 2015 | BMVC | Deep Face Recognition. | Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman |
| 2015 | CVPR | Deep filter banks for texture recognition and segmentation. | Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi |
| 2015 | CVPR | Understanding image representations by measuring their equivariance and equivalence. | Karel Lenc, Andrea Vedaldi |
| 2015 | CVPR | Understanding deep image representations by inverting them. | Aravindh Mahendran, Andrea Vedaldi |
| 2014 | BMVC | Return of the Devil in the Details: Delving Deep into Convolutional Nets. | Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman |
| 2014 | BMVC | Speeding up Convolutional Neural Networks with Low Rank Expansions. | Max Jaderberg, Andrea Vedaldi, Andrew Zisserman |
| 2014 | CVPR | Describing Textures in the Wild. | Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, Andrea Vedaldi |
| 2014 | CVPR | A Compact and Discriminative Face Track Descriptor. | Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman |
| 2014 | CVPR | Understanding Objects in Detail with Fine-Grained Attributes. | Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed |
| 2014 | ECCV | Deep Features for Text Spotting. | Max Jaderberg, Andrea Vedaldi, Andrew Zisserman |
| 2013 | BMVC | Fisher Vector Faces in the Wild. | Karen Simonyan, Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman |
| 2013 | CVPR | Blocks That Shout: Distinctive Parts for Scene Classification. | Mayank Juneja, Andrea Vedaldi, C. V. Jawahar, Andrew Zisserman |
| 2012 | CVPR | Cats and dogs. | Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman, C. V. Jawahar |
| 2012 | CVPR | Sparse kernel approximations for efficient classification and detection. | Andrea Vedaldi, Andrew Zisserman |
| 2012 | ECCV | Descriptor Learning Using Convex Optimisation. | Karen Simonyan, Andrea Vedaldi, Andrew Zisserman |
| 2012 | ECCV | Self-similar Sketch. | Andrea Vedaldi, Andrew Zisserman |
| 2011 | BMVC | The devil is in the details: an evaluation of recent feature encoding methods. | Ken Chatfield, Victor S. Lempitsky, Andrea Vedaldi, Andrew Zisserman |
| 2011 | CVPR | A coarse-to-fine approach for fast deformable object detection. | Marco Pedersoli, Andrea Vedaldi, Jordi Gonzlez |
| 2011 | ICCV | The truth about cats and dogs. | Omkar M. Parkhi, Andrea Vedaldi, C. V. Jawahar, Andrew Zisserman |
| 2011 | ICCV | Learning equivariant structured output SVM regressors. | Andrea Vedaldi, Matthew B. Blaschko, Andrew Zisserman |
| 2010 | BMVC | Generalized RBF feature maps for Efficient Detection. | Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserman, C. V. Jawahar |
| 2010 | CVPR | Efficient additive kernels via explicit feature maps. | Andrea Vedaldi, Andrew Zisserman |
| 2009 | ICCV | Class segmentation and object localization with superpixel neighborhoods. | Brian Fulkerson, Andrea Vedaldi, Stefano Soatto |
| 2009 | ICCV | Multiple kernels for object detection. | Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman |
| 2008 | CVPR | Joint data alignment up to (lossy) transformations. | Andrea Vedaldi, Gregorio Guidi, Stefano Soatto |
| 2008 | CVPR | Relaxed matching kernels for robust image comparison. | Andrea Vedaldi, Stefano Soatto |
| 2008 | ECCV | Localizing Objects with Smart Dictionaries. | Brian Fulkerson, Andrea Vedaldi, Stefano Soatto |
| 2008 | ECCV | Quick Shift and Kernel Methods for Mode Seeking. | Andrea Vedaldi, Stefano Soatto |
| 2007 | CVPR | Moving Forward in Structure From Motion. | Andrea Vedaldi, Gregorio Guidi, Stefano Soatto |
| 2007 | ICCV | Objects in Context. | Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora, Serge J. Belongie |
| 2007 | ICCV | Boosting Invariance and Efficiency in Supervised Learning. | Andrea Vedaldi, Paolo Favaro, Enrico Grisan |
| 2006 | CVPR | Local Features, All Grown Up. | Andrea Vedaldi, Stefano Soatto |
| 2006 | ECCV | Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions. | Andrea Vedaldi, Stefano Soatto |
| 2005 | ICCV | KALMANSAC: Robust Filtering by Consensus. | Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano Soatto |
| 2005 | ICCV | Features for Recognition: Viewpoint Invariance for Non-Planar Scenes. | Andrea Vedaldi, Stefano Soatto |