João F. Henriques

145 papers A* 32A 5B 4Misc 2Journal 71Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models. CoRR Lorenza Prospero, Orest Kupyn, Ostap Viniavskyi, João F. Henriques, Christian Rupprecht
2025	J	`jnl`	CRAM: Large-scale Video Continual Learning with Bootstrapped Compression. CoRR Shivani Mall, João F. Henriques
2025	—	`conf`	Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image. 3DV Stanislaw Szymanowicz, Eldar Insafutdinov, Chuanxia Zheng, Dylan Campbell, João F. Henriques, Christian Rupprecht, Andrea Vedaldi
2025	—	`conf`	GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers. CVPR Workshops Lorenza Prospero, Abdullah Hamdi, João F. Henriques, Christian Rupprecht
2025	—	`conf`	On the Dangers of Bootstrapping Generation for Continual Learning and Beyond. DAGM GCPR Daniil Zverev, A. Sophia Koepke, João F. Henriques
2025	J	`jnl`	On the Dangers of Bootstrapping Generation for Continual Learning and Beyond. CoRR Daniil Zverev, A. Sophia Koepke, João F. Henriques
2025	—	`conf`	Rapidvol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans. ISBI Mark C. Eid, Pak-Hei Yeung, Madeleine K. Wyburd, João F. Henriques, Ana I. L. Namburete
2025	J	`jnl`	Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language. CoRR Yan Xia, Letian Shi, Yilin Di, João F. Henriques, Daniel Cremers
2025	A*	`conf`	TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs. ICML Felipe Pinto Coelho Nuti, Tim Franzmeyer, João F. Henriques
2025	J	`jnl`	TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs. CoRR Felipe Nuti, Tim Franzmeyer, João F. Henriques
2025	J	`jnl`	UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes. CoRR Mark C. Eid, Ana I. L. Namburete, João F. Henriques
2025	A*	`conf`	VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. ICLR Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, João F. Henriques, Kevin Ellis
2024	—	`conf`	3D-Aware Instance Segmentation and Tracking in Egocentric Videos. ACCV (3) Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
2024	J	`jnl`	3D-Aware Instance Segmentation and Tracking in Egocentric Videos. CoRR Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
2024	J	`jnl`	A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval. CoRR Andreea-Maria Oncescu, João F. Henriques, Andrew Zisserman, Samuel Albanie, A. Sophia Koepke
2024	Misc	`conf`	A Sound Approach: Using Large Language Models to Generate Audio Descriptions for Egocentric Text-Audio Retrieval. ICASSP Andreea-Maria Oncescu, João F. Henriques, Andrew Zisserman, Samuel Albanie, A. Sophia Koepke
2024	—	`conf`	Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis. ML4H@NeurIPS Ljubomir J. Buturovic, Michael B. Mayhew, Roland Lüthy, Kirindi Choi, Uros Midic, Nandita Damaraju, Yehudit Hasin-Brumshtein, Amitesh Pratap, Rhys M. Adams, João F. Henriques, Ambika Srinath, Paul Fleming, Claudia Pereira, Oliver Liesenfeld, Purvesh Khatri, Timothy Sweeney
2024	J	`jnl`	Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis. CoRR Ljubomir J. Buturovic, Michael B. Mayhew, Roland Lüthy, Kirindi Choi, Uros Midic, Nandita Damaraju, Yehudit Hasin-Brumshtein, Amitesh Pratap, Rhys M. Adams, João F. Henriques, Ambika Srinath, Paul Fleming, Claudia Pereira, Oliver Liesenfeld, Purvesh Khatri, Timothy Sweeney
2024	A*	`conf`	Dissecting Temporal Understanding in Text-to-Audio Retrieval. ACM Multimedia Andreea-Maria Oncescu, João F. Henriques, A. Sophia Koepke
2024	J	`jnl`	Dissecting Temporal Understanding in Text-to-Audio Retrieval. CoRR Andreea-Maria Oncescu, João F. Henriques, A. Sophia Koepke
2024	J	`jnl`	Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image. CoRR Stanislaw Szymanowicz, Eldar Insafutdinov, Chuanxia Zheng, Dylan Campbell, João F. Henriques, Christian Rupprecht, Andrea Vedaldi
2024	J	`jnl`	GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers. CoRR Lorenza Prospero, Abdullah Hamdi, João F. Henriques, Christian Rupprecht
2024	J	`jnl`	HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. CoRR Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
2024	—	`conf`	HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. ACL (Findings) Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
2024	A*	`conf`	Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. ICLR Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt
2024	A	`conf`	Interpretable Representation Learning from Videos using Nonlinear Priors. BMVC Marian Longa, João F. Henriques
2024	J	`jnl`	Interpretable Representation Learning from Videos using Nonlinear Priors. CoRR Marian Longa, João F. Henriques
2024	J	`jnl`	LangProp: A code optimization framework using Language Models applied to driving. CoRR Shu Ishida, Gianluca Corrado, George Fedoseev, Hudson Yeo, Lloyd Russell, Jamie Shotton, João F. Henriques, Anthony Hu
2024	A*	`conf`	LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss. NeurIPS Dominik A. Kloepfer, João F. Henriques, Dylan Campbell
2024	—	`conf`	N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. ECCV (59) Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
2024	J	`jnl`	N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
2024	—	`conf`	Neural Fields for Co-Reconstructing 3D Objects from Incidental 2D Data. CVPR Workshops Dylan Campbell, Eldar Insafutdinov, João F. Henriques, Andrea Vedaldi
2024	A*	`conf`	Rapid Motor Adaptation for Robotic Manipulator Arms. CVPR Yichao Liang, Kevin Ellis, João F. Henriques
2024	J	`jnl`	RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans. CoRR Mark C. Eid, Pak-Hei Yeung, Madeleine K. Wyburd, João F. Henriques, Ana I. L. Namburete
2024	J	`jnl`	SCENES: Subpixel Correspondence Estimation With Epipolar Supervision. CoRR Dominik A. Kloepfer, João F. Henriques, Dylan Campbell
2024	—	`conf`	SCENES: Subpixel Correspondence EstimationWith Epipolar Supervision. 3DV Dominik A. Kloepfer, João F. Henriques, Dylan Campbell
2024	J	`jnl`	SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments. CoRR Shu Ishida, João F. Henriques
2024	A*	`conf`	Select to Perfect: Imitating desired behavior from large multi-agent data. ICLR Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, João F. Henriques
2024	J	`jnl`	Select to Perfect: Imitating desired behavior from large multi-agent data. CoRR Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob N. Foerster, João F. Henriques
2024	J	`jnl`	Stale Diffusion: Hyper-realistic 5D Movie Generation Using Old-school Methods. CoRR João F. Henriques, Dylan Campbell, Tengda Han
2024	A*	`conf`	Text2Loc: 3D Point Cloud Localization from Natural Language. CVPR Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers
2024	J	`jnl`	TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes. CoRR Yan Xia, Yunxiang Lu, Rui Song, Oussema Dhaouadi, João F. Henriques, Daniel Cremers
2024	J	`jnl`	UniLoc: Towards Universal Place Recognition Using Any Single Modality. CoRR Yan Xia, Zhendong Li, Yun-Jin Li, Letian Shi, Hu Cao, João F. Henriques, Daniel Cremers
2024	A*	`conf`	Unsupervised Object Detection with Theoretical Guarantees. NeurIPS Marian Longa, João F. Henriques
2024	J	`jnl`	Unsupervised Object Detection with Theoretical Guarantees. CoRR Marian Longa, João F. Henriques
2024	J	`jnl`	VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. CoRR Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, João F. Henriques, Kevin Ellis
2023	A*	`conf`	A Light Touch Approach to Teaching Transformers Multi-view Geometry. CVPR Yash Bhalgat, João F. Henriques, Andrew Zisserman
2023	J	`jnl`	Audio Retrieval With Natural Language Queries: A Benchmark Study. IEEE Trans. Multim. A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie
2023	A*	`conf`	CASSPR: Cross Attention Single Scan Place Recognition. ICCV Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F. Henriques, Daniel Cremers
2023	A*	`conf`	Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
2023	J	`jnl`	Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
2023	A*	`conf`	Extracting Reward Functions from Diffusion Models. NeurIPS Felipe Nuti, Tim Franzmeyer, João F. Henriques
2023	J	`jnl`	Extracting Reward Functions from Diffusion Models. CoRR Felipe Nuti, Tim Franzmeyer, João F. Henriques
2023	—	`conf`	Generalised Lookahead Optimiser. Tiny Papers @ ICLR Costin-Andrei Oncescu, Jack Valmadre, João F. Henriques
2023	J	`jnl`	Large Language Models are Few-shot Publication Scoopers. CoRR Samuel Albanie, Liliane Momeni, João F. Henriques
2023	A*	`conf`	LoCUS: Learning Multiscale 3D-consistent Features from Posed Images. ICCV Dominik A. Kloepfer, Dylan Campbell, João F. Henriques
2023	J	`jnl`	LoCUS: Learning Multiscale 3D-consistent Features from Posed Images. CoRR Dominik A. Kloepfer, Dylan Campbell, João F. Henriques
2023	J	`jnl`	Rapid Motor Adaptation for Robotic Manipulator Arms. CoRR Yichao Liang, Kevin Ellis, João F. Henriques
2023	A*	`conf`	RbA: Segmenting Unknown Regions Rejected by All. ICCV Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney
2023	J	`jnl`	Text2Loc: 3D Point Cloud Localization from Natural Language. CoRR Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers
2023	J	`jnl`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
2022	J	`jnl`	A 23 MW data centre is all you need. CoRR Samuel Albanie, Dylan Campbell, João F. Henriques
2022	J	`jnl`	A Light Touch Approach to Teaching Transformers Multi-view Geometry. CoRR Yash Bhalgat, João F. Henriques, Andrew Zisserman
2022	J	`jnl`	Illusionary Attacks on Sequential Decision Makers and Countermeasures. CoRR Tim Franzmeyer, João F. Henriques, Jakob N. Foerster, Philip H. S. Torr, Adel Bibi, Christian Schröder de Witt
2022	A*	`conf`	Learn what matters: cross-domain imitation learning with task-relevant embeddings. NeurIPS Tim Franzmeyer, Philip H. S. Torr, João F. Henriques
2022	J	`jnl`	Learn what matters: cross-domain imitation learning with task-relevant embeddings. CoRR Tim Franzmeyer, Philip H. S. Torr, João F. Henriques
2022	A*	`conf`	Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. ICLR Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
2022	J	`jnl`	PVT3D: Point Voxel Transformers for Place Recognition from Sparse Lidar Scans. CoRR Yan Xia, Mariia Gladkova, Rui Wang, João F. Henriques, Daniel Cremers, Uwe Stilla
2022	J	`jnl`	Pixels Together Strong: Segmenting Unknown Regions Rejected by All. CoRR Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney
2022	—	`conf`	SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. ECCV (32) Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi
2022	J	`jnl`	SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. CoRR Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi
2022	A*	`conf`	Towards real-world navigation with deep differentiable planners. CVPR Shu Ishida, João F. Henriques
2021	A	`conf`	Audio Retrieval with Natural Language Queries. Interspeech Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie
2021	J	`jnl`	Audio Retrieval with Natural Language Queries. CoRR Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie
2021	J	`jnl`	Audio Retrieval with Natural Language Queries: A Benchmark Study. CoRR A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie
2021	A*	`conf`	Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. NeurIPS Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques
2021	J	`jnl`	Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. CoRR Mandela Patrick, Dylan Campbell, Yuki Markus Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques
2021	J	`jnl`	Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. CoRR Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
2021	A	`conf`	Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. IROS Dan Xu, Andrea Vedaldi, João F. Henriques
2021	J	`jnl`	Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. CoRR Dan Xu, Andrea Vedaldi, João F. Henriques
2021	—	`ed.`	NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 13 December 2021, Virtual Pre-Registration Workshop @ NeurIPS Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol
2021	A*	`conf`	On Compositions of Transformations in Contrastive Self-Supervised Learning. ICCV Mandela Patrick, Yuki Markus Asano, Polina Kuznetsova, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi
2021	J	`jnl`	On the Origin of Species of Self-Supervised Learning. CoRR Samuel Albanie, Erika Lu, João F. Henriques
2021	—	`conf`	Preface. Pre-Registration Workshop @ NeurIPS Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol
2021	Misc	`conf`	QUERYD: A Video Dataset with High-Quality Text and Audio Narrations. ICASSP Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie
2021	A	`conf`	Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks. BMVC Jianbo Jiao, João F. Henriques
2021	J	`jnl`	Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks. CoRR Jianbo Jiao, João F. Henriques
2021	A*	`conf`	Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. ICCV Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M. Asano, João F. Henriques
2021	J	`jnl`	Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. CoRR Mandela Patrick, Yuki Markus Asano, Bernie Huang, Ishan Misra, Florian Metze, João F. Henriques, Andrea Vedaldi
2021	A*	`conf`	Support-set bottlenecks for video-text representation learning. ICLR Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, João F. Henriques, Andrea Vedaldi
2021	—	`conf`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
2021	J	`jnl`	Towards real-world navigation with deep differentiable planners. CoRR Shu Ishida, João F. Henriques
2020	—	`conf`	360$^{\circ }$ Camera Alignment via Segmentation. ECCV (28) Benjamin Davidson, Mohsan S. Alvi, João F. Henriques
2020	J	`jnl`	Automatic Recall Machines: Internal Replay, Continual Learning and the Brain. CoRR Xu Ji, João F. Henriques, Tinne Tuytelaars, Andrea Vedaldi
2020	J	`jnl`	Gradient Shape Model. Int. J. Comput. Vis. Pedro Martins, João F. Henriques, Jorge Batista
2020	J	`jnl`	Multi-modal Self-Supervision from Generalized Data Transformations. CoRR Mandela Patrick, Yuki Markus Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi
2020	—	`ed.`	NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 11 December 2020, Virtual Event. Preregister@NeurIPS Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol
2020	—	`conf`	Preface. Preregister@NeurIPS Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol
2020	J	`jnl`	QuerYD: A video dataset with high-quality textual and audio narrations. CoRR Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie
2020	J	`jnl`	State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication. CoRR Samuel Albanie, Jaime Thewmore, Robert McCraith, João F. Henriques
2020	J	`jnl`	Support-set bottlenecks for video-text representation learning. CoRR Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, João F. Henriques, Andrea Vedaldi
2019	J	`jnl`	Deep Industrial Espionage. CoRR Samuel Albanie, James Thewlis, Sébastien Ehrhardt, João F. Henriques
2019	A*	`conf`	Invariant Information Clustering for Unsupervised Image Classification and Segmentation. ICCV Xu Ji, Andrea Vedaldi, João F. Henriques
2019	—	`conf`	Meta-learning with differentiable closed-form solvers. ICLR (Poster) Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi
2019	A*	`conf`	Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. ICCV João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi
2018	J	`jnl`	Invariant Information Distillation for Unsupervised Image Segmentation and Clustering. CoRR Xu Ji, João F. Henriques, Andrea Vedaldi
2018	—	`conf`	Long-Term Tracking in the Wild: A Benchmark. ECCV (3) Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves
2018	J	`jnl`	Long-term Tracking in the Wild: A Benchmark. CoRR Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves
2018	A*	`conf`	MapNet: An Allocentric Spatial Memory for Mapping Environments. CVPR João F. Henriques, Andrea Vedaldi
2018	J	`jnl`	Meta-learning with differentiable closed-form solvers. CoRR Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi
2018	J	`jnl`	Small steps and giant leaps: Minimal Newton solvers for Deep Learning. CoRR João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi
2018	J	`jnl`	Substitute Teacher Networks: Learning with Almost No Supervision. CoRR Samuel Albanie, James Thewlis, João F. Henriques
2018	—	`conf`	The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 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
2017	A*	`conf`	End-to-End Representation Learning for Correlation Filter Based Tracking. CVPR Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
2017	J	`jnl`	End-to-end representation learning for Correlation Filter based tracking. CoRR Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
2017	J	`jnl`	Stopping GAN Violence: Generative Unadversarial Networks. CoRR Samuel Albanie, Sébastien Ehrhardt, João F. Henriques
2017	—	`conf`	The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 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
2017	A*	`conf`	Warped Convolutions: Efficient Invariance to Spatial Transformations. ICML João F. Henriques, Andrea Vedaldi
2016	J	`jnl`	Bayesian Constrained Local Models Revisited. IEEE Trans. Pattern Anal. Mach. Intell. Pedro Martins, João F. Henriques, Rui Caseiro, Jorge Batista
2016	—	`conf`	Fully-Convolutional Siamese Networks for Object Tracking. ECCV Workshops (2) Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
2016	J	`jnl`	Fully-Convolutional Siamese Networks for Object Tracking. CoRR Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
2016	—	`conf`	Learning feed-forward one-shot learners. NIPS Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi
2016	J	`jnl`	Learning feed-forward one-shot learners. CoRR Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi
2016	J	`jnl`	ResearchDoom and CocoDoom: Learning Computer Vision with Games. CoRR Aravindh Mahendran, Hakan Bilen, João F. Henriques, Andrea Vedaldi
2016	—	`conf`	The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 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
2016	J	`jnl`	Warped Convolutions: Efficient Invariance to Spatial Transformations. CoRR João F. Henriques, Andrea Vedaldi
2015	A*	`conf`	Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow. CVPR Rui Caseiro, João F. Henriques, Pedro Martins, Jorge Batista
2015	J	`jnl`	High-Speed Tracking with Kernelized Correlation Filters. IEEE Trans. Pattern Anal. Mach. Intell. João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista
2014	—	`conf`	Fast Training of Pose Detectors in the Fourier Domain. NIPS João F. Henriques, Pedro Martins, Rui F. Caseiro, Jorge Batista
2014	J	`jnl`	High-Speed Tracking with Kernelized Correlation Filters. CoRR João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista
2014	B	`conf`	Likelihood-enhanced Bayesian constrained local models. ICIP Pedro Martins, Rui Caseiro, João F. Henriques, Jorge Batista
2014	—	`conf`	The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu
2013	A*	`conf`	Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition. ICCV João F. Henriques, João Carreira, Rui Caseiro, Jorge Batista
2013	A*	`conf`	Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem. CVPR Rui Caseiro, Pedro Martins, João F. Henriques, Fatima Silva Leite, Jorge P. Batista
2012	J	`jnl`	A nonparametric Riemannian framework on tensor field with application to foreground segmentation. Pattern Recognit. Rui Caseiro, Pedro Martins, João F. Henriques, Jorge P. Batista
2012	—	`conf`	Discriminative Bayesian Active Shape Models. ECCV (3) Pedro Martins, Rui Caseiro, João F. Henriques, Jorge P. Batista
2012	—	`conf`	Exploiting the Circulant Structure of Tracking-by-Detection with Kernels. ECCV (4) João F. Henriques, Rui Caseiro, Pedro Martins, Jorge P. Batista
2012	A	`conf`	Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors. BMVC Pedro Martins, Rui Caseiro, João F. Henriques, Jorge Batista
2012	—	`conf`	Semi-intrinsic Mean Shift on Riemannian Manifolds. ECCV (1) Rui Caseiro, João F. Henriques, Pedro Martins, Jorge P. Batista
2011	A*	`conf`	A nonparametric Riemannian framework on tensor field with application to foreground segmentation. ICCV Rui Caseiro, João F. Henriques, Pedro Martins, Jorge P. Batista
2011	A*	`conf`	Globally optimal solution to multi-object tracking with merged measurements. ICCV João F. Henriques, Rui Caseiro, Jorge P. Batista
2010	—	`conf`	Dynamic Global Optimization Framework for Real-time Tracking. VISAPP (1) João F. Henriques, Rui Caseiro, Jorge Batista
2010	B	`conf`	Foreground Segmentation via Background Modeling on Riemannian Manifolds. ICPR Rui Caseiro, João F. Henriques, Jorge P. Batista
2010	B	`conf`	Tracking in streamed video by updating globally optimal matchings. ICIP João F. Henriques, Rui Caseiro, Jorge P. Batista
2010	B	`conf`	Using directional statistics to learn cast shadows from a multi-spectral light sources physical model. ICIP Rui Caseiro, João F. Henriques, Jorge P. Batista