João F. Henriques

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 94

Top Venues

Publications

Andreea-Maria Oncescu, João F. Henriques, Andrew Zisserman, Samuel Albanie, A. Sophia Koepke
A Sound Approach: Using Large Language Models to Generate Audio Descriptions for Egocentric Text-Audio Retrieval. ICASSP (2024)
Shu Ishida, Gianluca Corrado, George Fedoseev, Hudson Yeo, Lloyd Russell, Jamie Shotton, João F. Henriques, Anthony Hu
LangProp: A code optimization framework using Language Models applied to driving. CoRR (2024)
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
Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis. CoRR (2024)
Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. ACL (Findings) (2024)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR (2024)
Mark C. Eid, Pak-Hei Yeung, Madeleine K. Wyburd, João F. Henriques, Ana I. L. Namburete
RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans. CoRR (2024)
Andreea-Maria Oncescu, João F. Henriques, Andrew Zisserman, Samuel Albanie, A. Sophia Koepke
A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval. CoRR (2024)
João F. Henriques, Dylan Campbell, Tengda Han
Stale Diffusion: Hyper-realistic 5D Movie Generation Using Old-school Methods. CoRR (2024)
Tim Franzmeyer, Edith Elkind, Philip H. S. Torr, Jakob N. Foerster, João F. Henriques
Select to Perfect: Imitating desired behavior from large multi-agent data. CoRR (2024)
Shu Ishida, João F. Henriques
SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments. CoRR (2024)
Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. CoRR (2024)
Stanislaw Szymanowicz, Eldar Insafutdinov, Chuanxia Zheng, Dylan Campbell, João F. Henriques, Christian Rupprecht, Andrea Vedaldi
Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image. CoRR (2024)
Dominik A. Kloepfer, João F. Henriques, Dylan Campbell
SCENES: Subpixel Correspondence Estimation With Epipolar Supervision. CoRR (2024)
Marian Longa, João F. Henriques
Unsupervised Object Detection with Theoretical Guarantees. CoRR (2024)
Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. ICLR (2024)
Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, João F. Henriques
Select to Perfect: Imitating desired behavior from large multi-agent data. ICLR (2024)
Dominik A. Kloepfer, João F. Henriques, Dylan Campbell
SCENES: Subpixel Correspondence EstimationWith Epipolar Supervision. 3DV (2024)
Felipe Nuti, Tim Franzmeyer, João F. Henriques
Extracting Reward Functions from Diffusion Models. CoRR (2023)
Costin-Andrei Oncescu, Jack Valmadre, João F. Henriques
Generalised Lookahead Optimiser. Tiny Papers @ ICLR (2023)
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
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR (2023)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS (2023)
Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers
Text2Loc: 3D Point Cloud Localization from Natural Language. CoRR (2023)
Samuel Albanie, Liliane Momeni, João F. Henriques
Large Language Models are Few-shot Publication Scoopers. CoRR (2023)
Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney
RbA: Segmenting Unknown Regions Rejected by All. ICCV (2023)
Yash Bhalgat, João F. Henriques, Andrew Zisserman
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CVPR (2023)
A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie
Audio Retrieval With Natural Language Queries: A Benchmark Study. IEEE Trans. Multim. 25 (2023)
Felipe Nuti, Tim Franzmeyer, João F. Henriques
Extracting Reward Functions from Diffusion Models. NeurIPS (2023)
Dominik A. Kloepfer, Dylan Campbell, João F. Henriques
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images. CoRR (2023)
Dominik A. Kloepfer, Dylan Campbell, João F. Henriques
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images. ICCV (2023)
Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F. Henriques, Daniel Cremers
CASSPR: Cross Attention Single Scan Place Recognition. ICCV (2023)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR (2023)
Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. CoRR (2022)
Shu Ishida, João F. Henriques
Towards real-world navigation with deep differentiable planners. CVPR (2022)
Tim Franzmeyer, Philip H. S. Torr, João F. Henriques
Learn what matters: cross-domain imitation learning with task-relevant embeddings. CoRR (2022)
Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney
Pixels Together Strong: Segmenting Unknown Regions Rejected by All. CoRR (2022)
Tim Franzmeyer, João F. Henriques, Jakob N. Foerster, Philip H. S. Torr, Adel Bibi, Christian Schröder de Witt
Illusionary Attacks on Sequential Decision Makers and Countermeasures. CoRR (2022)
Yan Xia, Mariia Gladkova, Rui Wang, João F. Henriques, Daniel Cremers, Uwe Stilla
PVT3D: Point Voxel Transformers for Place Recognition from Sparse Lidar Scans. CoRR (2022)
Samuel Albanie, Dylan Campbell, João F. Henriques
A 23 MW data centre is all you need. CoRR (2022)
Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. ECCV (32) (2022)
Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. ICLR (2022)
Yash Bhalgat, João F. Henriques, Andrew Zisserman
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CoRR (2022)
Tim Franzmeyer, Philip H. S. Torr, João F. Henriques
Learn what matters: cross-domain imitation learning with task-relevant embeddings. NeurIPS (2022)
Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. NeurIPS (2021)
Jianbo Jiao, João F. Henriques
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks. CoRR (2021)
Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. CoRR (2021)
Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie
Audio Retrieval with Natural Language Queries. Interspeech (2021)
Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, João F. Henriques, Andrea Vedaldi
Support-set bottlenecks for video-text representation learning. ICLR (2021)
Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol
Preface. Pre-Registration Workshop @ NeurIPS (2021)
Mandela Patrick, Yuki Markus Asano, Polina Kuznetsova, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi
On Compositions of Transformations in Contrastive Self-Supervised Learning. ICCV (2021)
Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie
Audio Retrieval with Natural Language Queries. CoRR (2021)
Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M. Asano, João F. Henriques
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. ICCV (2021)
Mandela Patrick, Yuki Markus Asano, Bernie Huang, Ishan Misra, Florian Metze, João F. Henriques, Andrea Vedaldi
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. CoRR (2021)
Samuel Albanie, Erika Lu, João F. Henriques
On the Origin of Species of Self-Supervised Learning. CoRR (2021)
Jianbo Jiao, João F. Henriques
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks. BMVC (2021)
Dan Xu, Andrea Vedaldi, João F. Henriques
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. IROS (2021)
Shu Ishida, João F. Henriques
Towards real-world navigation with deep differentiable planners. CoRR (2021)
Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie
QUERYD: A Video Dataset with High-Quality Text and Audio Narrations. ICASSP (2021)
Dan Xu, Andrea Vedaldi, João F. Henriques
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. CoRR (2021)
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
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) (2021)
A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie
Audio Retrieval with Natural Language Queries: A Benchmark Study. CoRR (2021)
Mandela Patrick, Dylan Campbell, Yuki Markus Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. CoRR (2021)
Xu Ji, João F. Henriques, Tinne Tuytelaars, Andrea Vedaldi
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain. CoRR (2020)
Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol
Preface. Preregister@NeurIPS (2020)
Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie
QuerYD: A video dataset with high-quality textual and audio narrations. CoRR (2020)
Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, João F. Henriques, Andrea Vedaldi
Support-set bottlenecks for video-text representation learning. CoRR (2020)
Samuel Albanie, Jaime Thewmore, Robert McCraith, João F. Henriques
State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication. CoRR (2020)
Pedro Martins, João F. Henriques, Jorge Batista
Gradient Shape Model. Int. J. Comput. Vis. 128 (12) (2020)
Benjamin Davidson, Mohsan S. Alvi, João F. Henriques
360$^{\circ }$ Camera Alignment via Segmentation. ECCV (28) (2020)
Mandela Patrick, Yuki Markus Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi
Multi-modal Self-Supervision from Generalized Data Transformations. CoRR (2020)
Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi
Meta-learning with differentiable closed-form solvers. ICLR (Poster) (2019)
Samuel Albanie, James Thewlis, Sébastien Ehrhardt, João F. Henriques
Deep Industrial Espionage. CoRR (2019)
Xu Ji, Andrea Vedaldi, João F. Henriques
Invariant Information Clustering for Unsupervised Image Classification and Segmentation. ICCV (2019)
João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. ICCV (2019)
Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves
Long-term Tracking in the Wild: A Benchmark. CoRR (2018)
João F. Henriques, Andrea Vedaldi
MapNet: An Allocentric Spatial Memory for Mapping Environments. CVPR (2018)
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, Zhen-Hua Feng, Zhihui Wang, Zhiqun He
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) (2018)
Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves
Long-Term Tracking in the Wild: A Benchmark. ECCV (3) (2018)
Samuel Albanie, James Thewlis, João F. Henriques
Substitute Teacher Networks: Learning with Almost No Supervision. CoRR (2018)
João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi
Small steps and giant leaps: Minimal Newton solvers for Deep Learning. CoRR (2018)
Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi
Meta-learning with differentiable closed-form solvers. CoRR (2018)
Xu Ji, João F. Henriques, Andrea Vedaldi
Invariant Information Distillation for Unsupervised Image Segmentation and Clustering. CoRR (2018)
João F. Henriques, Andrea Vedaldi
Warped Convolutions: Efficient Invariance to Spatial Transformations. ICML (2017)
Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
End-to-end representation learning for Correlation Filter based tracking. CoRR (2017)
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 B. 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
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops (2017)
Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
End-to-End Representation Learning for Correlation Filter Based Tracking. CVPR (2017)
Samuel Albanie, Sébastien Ehrhardt, João F. Henriques
Stopping GAN Violence: Generative Unadversarial Networks. CoRR (2017)
João F. Henriques, Andrea Vedaldi
Warped Convolutions: Efficient Invariance to Spatial Transformations. CoRR (2016)
Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi
Learning feed-forward one-shot learners. NIPS (2016)
Aravindh Mahendran, Hakan Bilen, João F. Henriques, Andrea Vedaldi
ResearchDoom and CocoDoom: Learning Computer Vision with Games. CoRR (2016)
Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi
Learning feed-forward one-shot learners. CoRR (2016)
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
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) (2016)
Pedro Martins, João F. Henriques, Rui Caseiro, Jorge Batista
Bayesian Constrained Local Models Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 38 (4) (2016)
Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
Fully-Convolutional Siamese Networks for Object Tracking. ECCV Workshops (2) (2016)
Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
Fully-Convolutional Siamese Networks for Object Tracking. CoRR (2016)
João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista
High-Speed Tracking with Kernelized Correlation Filters. IEEE Trans. Pattern Anal. Mach. Intell. 37 (3) (2015)
Rui Caseiro, João F. Henriques, Pedro Martins, Jorge Batista
Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow. CVPR (2015)
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, Jin-Woo 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
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) (2014)
João F. Henriques, Pedro Martins, Rui F. Caseiro, Jorge Batista
Fast Training of Pose Detectors in the Fourier Domain. NIPS (2014)
Pedro Martins, Rui Caseiro, João F. Henriques, Jorge Batista
Likelihood-enhanced Bayesian constrained local models. ICIP (2014)
João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista
High-Speed Tracking with Kernelized Correlation Filters. CoRR (2014)

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Publication Activity (10 Years)

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João F. Henriques