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2020 – today
- 2024
[c57]Dominik A. Kloepfer, João F. Henriques, Dylan Campbell
:
SCENES: Subpixel Correspondence EstimationWith Epipolar Supervision. 3DV 2024: 21-30- [c56]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: 12702-12716 - [c55]Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers:
Text2Loc: 3D Point Cloud Localization from Natural Language. CVPR 2024: 14958-14967 - [c54]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: 7300-7304 - [c53]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 - [c52]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 - [i54]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 abs/2401.10314 (2024) - [i53]Dominik A. Kloepfer, João F. Henriques, Dylan Campbell:
SCENES: Subpixel Correspondence Estimation With Epipolar Supervision. CoRR abs/2401.10886 (2024) - [i52]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 abs/2402.19106 (2024) - [i51]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR abs/2403.10997 (2024) - [i50]João F. Henriques, Dylan Campbell, Tengda Han:
Stale Diffusion: Hyper-realistic 5D Movie Generation Using Old-school Methods. CoRR abs/2404.01079 (2024) - [i49]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 abs/2404.10766 (2024) - [i48]Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob N. Foerster, João F. Henriques:
Select to Perfect: Imitating desired behavior from large multi-agent data. CoRR abs/2405.03735 (2024) - [i47]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 abs/2406.03428 (2024) - [i46]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 abs/2406.04343 (2024) - [i45]Marian Longa, João F. Henriques:
Unsupervised Object Detection with Theoretical Guarantees. CoRR abs/2406.07284 (2024) - [i44]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 abs/2407.02737 (2024) - [i43]Shu Ishida, João F. Henriques:
SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments. CoRR abs/2407.18913 (2024) - [i42]Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
3D-Aware Instance Segmentation and Tracking in Egocentric Videos. CoRR abs/2408.09860 (2024) - [i41]Andreea-Maria Oncescu, João F. Henriques, A. Sophia Koepke:
Dissecting Temporal Understanding in Text-to-Audio Retrieval. CoRR abs/2409.00851 (2024) - 2023
- [j5]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: 2675-2685 (2023) - [c51]Yash Bhalgat, João F. Henriques, Andrew Zisserman:
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CVPR 2023: 4958-4969 - [c50]Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney:
RbA: Segmenting Unknown Regions Rejected by All. ICCV 2023: 711-722 - [c49]Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F. Henriques, Daniel Cremers:
CASSPR: Cross Attention Single Scan Place Recognition. ICCV 2023: 8427-8438 - [c48]Dominik A. Kloepfer, Dylan Campbell, João F. Henriques:
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images. ICCV 2023: 16588-16598 - [c47]Costin-Andrei Oncescu, Jack Valmadre, João F. Henriques:
Generalised Lookahead Optimiser. Tiny Papers @ ICLR 2023 - [c46]Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS 2023 - [c45]Felipe Nuti, Tim Franzmeyer, João F. Henriques:
Extracting Reward Functions from Diffusion Models. NeurIPS 2023 - [i40]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 abs/2303.13512 (2023) - [i39]Samuel Albanie, Liliane Momeni, João F. Henriques:
Large Language Models are Few-shot Publication Scoopers. CoRR abs/2304.00521 (2023) - [i38]Felipe Nuti, Tim Franzmeyer, João F. Henriques:
Extracting Reward Functions from Diffusion Models. CoRR abs/2306.01804 (2023) - [i37]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR abs/2306.04633 (2023) - [i36]Dominik A. Kloepfer, Dylan Campbell, João F. Henriques:
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images. CoRR abs/2310.01095 (2023) - [i35]Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers:
Text2Loc: 3D Point Cloud Localization from Natural Language. CoRR abs/2311.15977 (2023) - 2022
- [c44]Shu Ishida, João F. Henriques:
Towards real-world navigation with deep differentiable planners. CVPR 2022: 17306-17315 - [c43]Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi:
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. ECCV (32) 2022: 367-383 - [c42]Tim Franzmeyer, Mateusz Malinowski, João F. Henriques:
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. ICLR 2022 - [c41]Tim Franzmeyer, Philip H. S. Torr, João F. Henriques:
Learn what matters: cross-domain imitation learning with task-relevant embeddings. NeurIPS 2022 - [i34]Samuel Albanie, Dylan Campbell, João F. Henriques:
A 23 MW data centre is all you need. CoRR abs/2203.17265 (2022) - [i33]Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi:
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. CoRR abs/2206.06340 (2022) - [i32]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 abs/2207.10170 (2022) - [i31]Tim Franzmeyer, Philip H. S. Torr, João F. Henriques:
Learn what matters: cross-domain imitation learning with task-relevant embeddings. CoRR abs/2209.12093 (2022) - [i30]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 abs/2211.12542 (2022) - [i29]Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney:
Pixels Together Strong: Segmenting Unknown Regions Rejected by All. CoRR abs/2211.14293 (2022) - [i28]Yash Bhalgat, João F. Henriques, Andrew Zisserman:
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CoRR abs/2211.15107 (2022) - 2021
- [c40]Jianbo Jiao, João F. Henriques:
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks. BMVC 2021: 160 - [c39]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: 2265-2269 - [c38]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: 9557-9567 - [c37]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: 10540-10552 - [c36]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 - [c35]Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie:
Audio Retrieval with Natural Language Queries. Interspeech 2021: 2411-2415 - [c34]Dan Xu, Andrea Vedaldi, João F. Henriques:
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. IROS 2021: 4611-4617 - [c33]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: 171-188 - [c32]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: 12493-12506 - [c31]Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol:
Preface. Pre-Registration Workshop @ NeurIPS 2021: i - [e2]Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol:
NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 13 December 2021, Virtual. Proceedings of Machine Learning Research 181, PMLR 2021 [contents] - [i27]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 abs/2103.10211 (2021) - [i26]Samuel Albanie, Erika Lu, João F. Henriques:
On the Origin of Species of Self-Supervised Learning. CoRR abs/2103.17143 (2021) - [i25]Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie:
Audio Retrieval with Natural Language Queries. CoRR abs/2105.02192 (2021) - [i24]Dan Xu, Andrea Vedaldi, João F. Henriques:
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. CoRR abs/2105.02195 (2021) - [i23]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 abs/2106.05392 (2021) - [i22]Tim Franzmeyer, Mateusz Malinowski, João F. Henriques:
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. CoRR abs/2107.09598 (2021) - [i21]Shu Ishida, João F. Henriques:
Towards real-world navigation with deep differentiable planners. CoRR abs/2108.05713 (2021) - [i20]Jianbo Jiao, João F. Henriques:
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks. CoRR abs/2111.12873 (2021) - [i19]A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie:
Audio Retrieval with Natural Language Queries: A Benchmark Study. CoRR abs/2112.09418 (2021) - 2020
- [j4]Pedro Martins, João F. Henriques, Jorge Batista:
Gradient Shape Model. Int. J. Comput. Vis. 128(12): 2828-2848 (2020) - [c30]Benjamin Davidson, Mohsan S. Alvi, João F. Henriques:
360$^{\circ }$ Camera Alignment via Segmentation. ECCV (28) 2020: 579-595 - [c29]Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol:
Preface. Preregister@NeurIPS 2020: i - [e1]Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol:
NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 11 December 2020, Virtual Event. Proceedings of Machine Learning Research 148, PMLR 2020 [contents] - [i18]Mandela Patrick, Yuki Markus Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi:
Multi-modal Self-Supervision from Generalized Data Transformations. CoRR abs/2003.04298 (2020) - [i17]Samuel Albanie, Jaime Thewmore, Robert McCraith, João F. Henriques:
State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication. CoRR abs/2003.14415 (2020) - [i16]Xu Ji, João F. Henriques, Tinne Tuytelaars, Andrea Vedaldi:
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain. CoRR abs/2006.12323 (2020) - [i15]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 abs/2010.02824 (2020) - [i14]Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie:
QuerYD: A video dataset with high-quality textual and audio narrations. CoRR abs/2011.11071 (2020)
2010 – 2019
- 2019
- [c28]João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi:
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. ICCV 2019: 4762-4771 - [c27]Xu Ji, Andrea Vedaldi, João F. Henriques:
Invariant Information Clustering for Unsupervised Image Classification and Segmentation. ICCV 2019: 9864-9873 - [c26]Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi:
Meta-learning with differentiable closed-form solvers. ICLR (Poster) 2019 - [i13]Samuel Albanie, James Thewlis, Sébastien Ehrhardt, João F. Henriques:
Deep Industrial Espionage. CoRR abs/1904.01114 (2019) - 2018
- [c25]João F. Henriques, Andrea Vedaldi:
MapNet: An Allocentric Spatial Memory for Mapping Environments. CVPR 2018: 8476-8484 - [c24]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, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c23]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: 692-707 - [i12]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 abs/1803.09502 (2018) - [i11]Samuel Albanie, James Thewlis, João F. Henriques:
Substitute Teacher Networks: Learning with Almost No Supervision. CoRR abs/1803.11560 (2018) - [i10]João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi:
Small steps and giant leaps: Minimal Newton solvers for Deep Learning. CoRR abs/1805.08095 (2018) - [i9]Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi:
Meta-learning with differentiable closed-form solvers. CoRR abs/1805.08136 (2018) - [i8]Xu Ji, João F. Henriques, Andrea Vedaldi:
Invariant Information Distillation for Unsupervised Image Segmentation and Clustering. CoRR abs/1807.06653 (2018) - 2017
- [c22]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: 5000-5008 - [c21]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: 1949-1972 - [c20]João F. Henriques, Andrea Vedaldi:
Warped Convolutions: Efficient Invariance to Spatial Transformations. ICML 2017: 1461-1469 - [i7]Samuel Albanie, Sébastien Ehrhardt, João F. Henriques:
Stopping GAN Violence: Generative Unadversarial Networks. CoRR abs/1703.02528 (2017) - [i6]Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr:
End-to-end representation learning for Correlation Filter based tracking. CoRR abs/1704.06036 (2017) - 2016
- [j3]Pedro Martins, João F. Henriques, Rui Caseiro, Jorge Batista:
Bayesian Constrained Local Models Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 704-716 (2016) - [c19]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: 777-823 - [c18]Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr:
Fully-Convolutional Siamese Networks for Object Tracking. ECCV Workshops (2) 2016: 850-865 - [c17]Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi:
Learning feed-forward one-shot learners. NIPS 2016: 523-531 - [i5]Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi:
Learning feed-forward one-shot learners. CoRR abs/1606.05233 (2016) - [i4]Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr:
Fully-Convolutional Siamese Networks for Object Tracking. CoRR abs/1606.09549 (2016) - [i3]João F. Henriques, Andrea Vedaldi:
Warped Convolutions: Efficient Invariance to Spatial Transformations. CoRR abs/1609.04382 (2016) - [i2]Aravindh Mahendran, Hakan Bilen, João F. Henriques, Andrea Vedaldi:
ResearchDoom and CocoDoom: Learning Computer Vision with Games. CoRR abs/1610.02431 (2016) - 2015
- [j2]João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista:
High-Speed Tracking with Kernelized Correlation Filters. IEEE Trans. Pattern Anal. Mach. Intell. 37(3): 583-596 (2015) - [c16]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: 3846-3854 - 2014
- [c15]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:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c14]Pedro Martins, Rui Caseiro, João F. Henriques, Jorge Batista:
Likelihood-enhanced Bayesian constrained local models. ICIP 2014: 303-307 - [c13]João F. Henriques, Pedro Martins, Rui F. Caseiro, Jorge Batista:
Fast Training of Pose Detectors in the Fourier Domain. NIPS 2014: 3050-3058 - [i1]