João F. Henriques

According to our database, João F. Henriques authored at least 94 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

UniLoc: Towards Universal Place Recognition Using Any Single Modality.

Yan Xia, Zhendong Li, Yun-Jin Li, Letian Shi, Hu Cao, João F. Henriques, Daniel Cremers

CoRR, 2024

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes.

Yan Xia, Yunxiang Lu, Rui Song, Oussema Dhaouadi, João F. Henriques, Daniel Cremers

CoRR, 2024

Interpretable Representation Learning from Videos using Nonlinear Priors.

Marian Longa, João F. Henriques

CoRR, 2024

GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers.

Lorenza Prospero, Abdullah Hamdi, João F. Henriques, Christian Rupprecht

CoRR, 2024

SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments.

Shu Ishida, João F. Henriques

CoRR, 2024

Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis.

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

CoRR, 2024

Unsupervised Object Detection with Theoretical Guarantees.

Marian Longa, João F. Henriques

CoRR, 2024

Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image.

Stanislaw Szymanowicz, Eldar Insafutdinov, Chuanxia Zheng, Dylan Campbell, João F. Henriques, Christian Rupprecht, Andrea Vedaldi

CoRR, 2024

HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits.

Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster

CoRR, 2024

RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans.

Mark C. Eid, Pak-Hei Yeung, Madeleine K. Wyburd, João F. Henriques, Ana I. L. Namburete

CoRR, 2024

Stale Diffusion: Hyper-realistic 5D Movie Generation Using Old-school Methods.

João F. Henriques, Dylan Campbell, Tengda Han

CoRR, 2024

SCENES: Subpixel Correspondence Estimation With Epipolar Supervision.

Dominik A. Kloepfer, João F. Henriques, Dylan Campbell

CoRR, 2024

LangProp: A code optimization framework using Language Models applied to driving.

Shu Ishida, Gianluca Corrado, George Fedoseev, Hudson Yeo, Lloyd Russell, Jamie Shotton, João F. Henriques, Anthony Hu

CoRR, 2024

Dissecting Temporal Understanding in Text-to-Audio Retrieval.

Andreea-Maria Oncescu, João F. Henriques, A. Sophia Koepke

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Illusory Attacks: Information-theoretic detectability matters in adversarial attacks.

Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Select to Perfect: Imitating desired behavior from large multi-agent data.

Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, João F. Henriques

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Sound Approach: Using Large Language Models to Generate Audio Descriptions for Egocentric Text-Audio Retrieval.

Andreea-Maria Oncescu, João F. Henriques, Andrew Zisserman, Samuel Albanie, A. Sophia Koepke

Proceedings of the IEEE International Conference on Acoustics, 2024

N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields.

Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi

Proceedings of the Computer Vision - ECCV 2024, 2024

Neural Fields for Co-Reconstructing 3D Objects from Incidental 2D Data.

Dylan Campbell, Eldar Insafutdinov, João F. Henriques, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Text2Loc: 3D Point Cloud Localization from Natural Language.

Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits.

Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster

Proceedings of the Findings of the Association for Computational Linguistics, 2024

3D-Aware Instance Segmentation and Tracking in Egocentric Videos.

Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Computer Vision - ACCV 2024, 2024

SCENES: Subpixel Correspondence EstimationWith Epipolar Supervision.

Dominik A. Kloepfer, João F. Henriques, Dylan Campbell

Proceedings of the International Conference on 3D Vision, 2024

2023

Audio Retrieval With Natural Language Queries: A Benchmark Study.

A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie

IEEE Trans. Multim., 2023

Large Language Models are Few-shot Publication Scoopers.

Samuel Albanie, Liliane Momeni, João F. Henriques

CoRR, 2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

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

CoRR, 2023

Extracting Reward Functions from Diffusion Models.

Felipe Nuti, Tim Franzmeyer, João F. Henriques

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion.

Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalised Lookahead Optimiser.

Costin-Andrei Oncescu, Jack Valmadre, João F. Henriques

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

RbA: Segmenting Unknown Regions Rejected by All.

Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LoCUS: Learning Multiscale 3D-consistent Features from Posed Images.

Dominik A. Kloepfer, Dylan Campbell, João F. Henriques

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CASSPR: Cross Attention Single Scan Place Recognition.

Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F. Henriques, Daniel Cremers

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Light Touch Approach to Teaching Transformers Multi-view Geometry.

Yash Bhalgat, João F. Henriques, Andrew Zisserman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Pixels Together Strong: Segmenting Unknown Regions Rejected by All.

Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney

CoRR, 2022

PVT3D: Point Voxel Transformers for Place Recognition from Sparse Lidar Scans.

Yan Xia, Mariia Gladkova, Rui Wang, João F. Henriques, Daniel Cremers, Uwe Stilla

CoRR, 2022

Illusionary Attacks on Sequential Decision Makers and Countermeasures.

Tim Franzmeyer, João F. Henriques, Jakob N. Foerster, Philip H. S. Torr, Adel Bibi, Christian Schröder de Witt

CoRR, 2022

A 23 MW data centre is all you need.

Samuel Albanie, Dylan Campbell, João F. Henriques

CoRR, 2022

Learn what matters: cross-domain imitation learning with task-relevant embeddings.

Tim Franzmeyer, Philip H. S. Torr, João F. Henriques

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Altruistic Behaviours in Reinforcement Learning without External Rewards.

Tim Franzmeyer, Mateusz Malinowski, João F. Henriques

Proceedings of the Tenth International Conference on Learning Representations, 2022

SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data.

Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards real-world navigation with deep differentiable planners.

Shu Ishida, João F. Henriques

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On the Origin of Species of Self-Supervised Learning.

Samuel Albanie, Erika Lu, João F. Henriques

CoRR, 2021

Preface.

Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol

Proceedings of the NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 2021

Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers.

Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes.

Dan Xu, Andrea Vedaldi, João F. Henriques

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Audio Retrieval with Natural Language Queries.

Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Support-set bottlenecks for video-text representation learning.

Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, João F. Henriques, Andrea Vedaldi

Proceedings of the 9th International Conference on Learning Representations, 2021

On Compositions of Transformations in Contrastive Self-Supervised Learning.

Mandela Patrick, Yuki Markus Asano, Polina Kuznetsova, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

QUERYD: A Video Dataset with High-Quality Text and Audio Narrations.

Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie

Proceedings of the IEEE International Conference on Acoustics, 2021

Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks.

Jianbo Jiao, João F. Henriques

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Gradient Shape Model.

Pedro Martins, João F. Henriques, Jorge Batista

Int. J. Comput. Vis., 2020

QuerYD: A video dataset with high-quality textual and audio narrations.

Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie

CoRR, 2020

Automatic Recall Machines: Internal Replay, Continual Learning and the Brain.

Xu Ji, João F. Henriques, Tinne Tuytelaars, Andrea Vedaldi

CoRR, 2020

State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication.

Samuel Albanie, Jaime Thewmore, Robert McCraith, João F. Henriques

CoRR, 2020

Multi-modal Self-Supervision from Generalized Data Transformations.

Mandela Patrick, Yuki Markus Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi

CoRR, 2020

Preface.

Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

360$^{\circ }$ Camera Alignment via Segmentation.

Benjamin Davidson, Mohsan S. Alvi, João F. Henriques

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep Industrial Espionage.

Samuel Albanie, James Thewlis, Sébastien Ehrhardt, João F. Henriques

CoRR, 2019

Meta-learning with differentiable closed-form solvers.

Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi

Proceedings of the 7th International Conference on Learning Representations, 2019

Invariant Information Clustering for Unsupervised Image Classification and Segmentation.

Xu Ji, Andrea Vedaldi, João F. Henriques

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning.

João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Invariant Information Distillation for Unsupervised Image Segmentation and Clustering.

Xu Ji, João F. Henriques, Andrea Vedaldi

CoRR, 2018

Substitute Teacher Networks: Learning with Almost No Supervision.

Samuel Albanie, James Thewlis, João F. Henriques

CoRR, 2018

Long-Term Tracking in the Wild: A Benchmark.

Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves

Proceedings of the Computer Vision - ECCV 2018, 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 S. 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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

MapNet: An Allocentric Spatial Memory for Mapping Environments.

João F. Henriques, Andrea Vedaldi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Stopping GAN Violence: Generative Unadversarial Networks.

Samuel Albanie, Sébastien Ehrhardt, João F. Henriques

CoRR, 2017

Warped Convolutions: Efficient Invariance to Spatial Transformations.

João F. Henriques, Andrea Vedaldi

Proceedings of the 34th International Conference on Machine Learning, 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 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

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

End-to-End Representation Learning for Correlation Filter Based Tracking.

Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Bayesian Constrained Local Models Revisited.

Pedro Martins, João F. Henriques, Rui Caseiro, Jorge Batista

IEEE Trans. Pattern Anal. Mach. Intell., 2016

ResearchDoom and CocoDoom: Learning Computer Vision with Games.

Aravindh Mahendran, Hakan Bilen, João F. Henriques, Andrea Vedaldi

CoRR, 2016

Learning feed-forward one-shot learners.

Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 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

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Fully-Convolutional Siamese Networks for Object Tracking.

Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

High-Speed Tracking with Kernelized Correlation Filters.

João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow.

Rui Caseiro, João F. Henriques, Pedro Martins, Jorge Batista

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Fast Training of Pose Detectors in the Fourier Domain.

João F. Henriques, Pedro Martins, Rui F. Caseiro, Jorge Batista

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Likelihood-enhanced Bayesian constrained local models.

Pedro Martins, Rui Caseiro, João F. Henriques, Jorge Batista

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

The Visual Object Tracking VOT2014 Challenge Results.

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

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition.

João F. Henriques, João Carreira, Rui Caseiro, Jorge Batista

Proceedings of the IEEE International Conference on Computer Vision, 2013

Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem.

Rui Caseiro, Pedro Martins, João F. Henriques, Fatima Silva Leite, Jorge P. Batista

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

A nonparametric Riemannian framework on tensor field with application to foreground segmentation.

Rui Caseiro, Pedro Martins, João F. Henriques, Jorge P. Batista

Pattern Recognit., 2012

Discriminative Bayesian Active Shape Models.

Pedro Martins, Rui Caseiro, João F. Henriques, Jorge P. Batista

Proceedings of the Computer Vision - ECCV 2012, 2012

Exploiting the Circulant Structure of Tracking-by-Detection with Kernels.

João F. Henriques, Rui Caseiro, Pedro Martins, Jorge P. Batista

Proceedings of the Computer Vision - ECCV 2012, 2012

Semi-intrinsic Mean Shift on Riemannian Manifolds.

Rui Caseiro, João F. Henriques, Pedro Martins, Jorge P. Batista

Proceedings of the Computer Vision - ECCV 2012, 2012

Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors.

Pedro Martins, Rui Caseiro, João F. Henriques, Jorge Batista

Proceedings of the British Machine Vision Conference, 2012

2011

Globally optimal solution to multi-object tracking with merged measurements.

João F. Henriques, Rui Caseiro, Jorge P. Batista

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Dynamic Global Optimization Framework for Real-time Tracking.

João F. Henriques, Rui Caseiro, Jorge Batista

Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Foreground Segmentation via Background Modeling on Riemannian Manifolds.

Rui Caseiro, João F. Henriques, Jorge P. Batista

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Tracking in streamed video by updating globally optimal matchings.

João F. Henriques, Rui Caseiro, Jorge P. Batista

Proceedings of the International Conference on Image Processing, 2010

Using directional statistics to learn cast shadows from a multi-spectral light sources physical model.

Rui Caseiro, João F. Henriques, Jorge P. Batista

Proceedings of the International Conference on Image Processing, 2010