Joo F. Henriques
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
13
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers. | Lorenza Prospero, Abdullah Hamdi, Joo F. Henriques, Christian Rupprecht |
| 2025 | ICCV | CRAM: Large-Scale Video Continual Learning with Bootstrapped Compression. | Shivani Mall, Joo F. Henriques |
| 2025 | ICCV | Trafficloc: Localizing Traffic Surveillance Cameras in 3D Scenes. | Yan Xia, Yunxiang Lu, Rui Song, Oussema Dhaouadi, Joo F. Henriques, Daniel Cremers |
| 2025 | ICLR | VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. | Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, Joo F. Henriques, Kevin Ellis |
| 2025 | ICML | TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs. | Felipe Pinto Coelho Nuti, Tim Franzmeyer, Joo F. Henriques |
| 2024 | ACCV | 3D-Aware Instance Segmentation and Tracking in Egocentric Videos. | Yash Bhalgat, Vadim Tschernezki, Iro Laina, Joo F. Henriques, Andrea Vedaldi, Andrew Zisserman |
| 2024 | ACL | 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, Joo F. Henriques, Jakob N. Foerster |
| 2024 | BMVC | Interpretable Representation Learning from Videos using Nonlinear Priors. | Marian Longa, Joo F. Henriques |
| 2024 | CVPR | Text2Loc: 3D Point Cloud Localization from Natural Language. | Yan Xia, Letian Shi, Zifeng Ding, Joo F. Henriques, Daniel Cremers |
| 2024 | CVPR | Neural Fields for Co-Reconstructing 3D Objects from Incidental 2D Data. | Dylan Campbell, Eldar Insafutdinov, Joo F. Henriques, Andrea Vedaldi |
| 2024 | CVPR | Rapid Motor Adaptation for Robotic Manipulator Arms. | Yichao Liang, Kevin Ellis, Joo F. Henriques |
| 2024 | ECCV | N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. | Yash Bhalgat, Iro Laina, Joo F. Henriques, Andrew Zisserman, Andrea Vedaldi |
| 2024 | ICASSP | A Sound Approach: Using Large Language Models to Generate Audio Descriptions for Egocentric Text-Audio Retrieval. | Andreea-Maria Oncescu, Joo F. Henriques, Andrew Zisserman, Samuel Albanie, A. Sophia Koepke |
| 2024 | ICLR | Select to Perfect: Imitating desired behavior from large multi-agent data. | Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, Joo F. Henriques |
| 2024 | ICLR | Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. | Tim Franzmeyer, Stephen Marcus McAleer, Joo F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schrder de Witt |
| 2023 | CVPR | A Light Touch Approach to Teaching Transformers Multi-view Geometry. | Yash Bhalgat, Joo F. Henriques, Andrew Zisserman |
| 2023 | ICCV | CASSPR: Cross Attention Single Scan Place Recognition. | Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, Joo F. Henriques, Daniel Cremers |
| 2023 | ICCV | LoCUS: Learning Multiscale 3D-consistent Features from Posed Images. | Dominik A. Kloepfer, Dylan Campbell, Joo F. Henriques |
| 2023 | ICCV | RbA: Segmenting Unknown Regions Rejected by All. | Nazir Nayal, Misra Yavuz, Joo F. Henriques, Fatma Gney |
| 2023 | ICLR | Generalised Lookahead Optimiser. | Costin-Andrei Oncescu, Jack Valmadre, Joo F. Henriques |
| 2022 | CVPR | Towards real-world navigation with deep differentiable planners. | Shu Ishida, Joo F. Henriques |
| 2022 | ECCV | SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. | Eldar Insafutdinov, Dylan Campbell, Joo F. Henriques, Andrea Vedaldi |
| 2022 | ICLR | Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. | Tim Franzmeyer, Mateusz Malinowski, Joo F. Henriques |
| 2021 | BMVC | Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks. | Jianbo Jiao, Joo F. Henriques |
| 2021 | ICASSP | QUERYD: A Video Dataset with High-Quality Text and Audio Narrations. | Andreea-Maria Oncescu, Joo F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie |
| 2021 | ICCV | Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. | Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M. Asano, Joo F. Henriques |
| 2021 | ICCV | On Compositions of Transformations in Contrastive Self-Supervised Learning. | Mandela Patrick, Yuki Markus Asano, Polina Kuznetsova, Ruth Fong, Joo F. Henriques, Geoffrey Zweig, Andrea Vedaldi |
| 2021 | ICLR | Support-set bottlenecks for video-text representation learning. | Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, Joo F. Henriques, Andrea Vedaldi |
| 2021 | Interspeech | Audio Retrieval with Natural Language Queries. | Andreea-Maria Oncescu, A. Sophia Koepke, Joo F. Henriques, Zeynep Akata, Samuel Albanie |
| 2021 | IROS | Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. | Dan Xu, Andrea Vedaldi, Joo F. Henriques |
| 2020 | ECCV | 360$^{\circ }$ Camera Alignment via Segmentation. | Benjamin Davidson, Mohsan S. Alvi, Joo F. Henriques |
| 2019 | ICCV | Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. | Joo F. Henriques, Sbastien Ehrhardt, Samuel Albanie, Andrea Vedaldi |
| 2019 | ICCV | Invariant Information Clustering for Unsupervised Image Classification and Segmentation. | Xu Ji, Andrea Vedaldi, Joo F. Henriques |
| 2019 | ICLR | Meta-learning with differentiable closed-form solvers. | Luca Bertinetto, Joo F. Henriques, Philip H. S. Torr, Andrea Vedaldi |
| 2018 | CVPR | MapNet: An Allocentric Spatial Memory for Mapping Environments. | Joo F. Henriques, Andrea Vedaldi |
| 2018 | ECCV | The Sixth Visual Object Tracking VOT2018 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Toms Vojr, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernndez, lvaro Garca-Martn, lvaro Iglesias-Arias, A. Aydin Alatan, Abel Gonzlez-Garca, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, Joo F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodrguez Herranz, Jos M. Martnez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He |
| 2018 | ECCV | Long-Term Tracking in the Wild: A Benchmark. | Jack Valmadre, Luca Bertinetto, Joo F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves |
| 2017 | CVPR | End-to-End Representation Learning for Correlation Filter Based Tracking. | Jack Valmadre, Luca Bertinetto, Joo F. Henriques, Andrea Vedaldi, Philip H. S. Torr |
| 2017 | ICML | Warped Convolutions: Efficient Invariance to Spatial Transformations. | Joo F. Henriques, Andrea Vedaldi |
| 2016 | ECCV | Fully-Convolutional Siamese Networks for Object Tracking. | Luca Bertinetto, Jack Valmadre, Joo F. Henriques, Andrea Vedaldi, Philip H. S. Torr |
| 2016 | ECCV | The Visual Object Tracking VOT2016 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Toms Vojr, Gustav Hger, Alan Lukezic, Gustavo Fernndez, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, lvaro Garca-Martn, Andrs Sols Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martnez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, Joo F. Henriques, Jochen Lang, Jongwon Choi, Jos M. Martnez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganire, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hbner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi |
| 2015 | CVPR | Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow. | Rui Caseiro, Joo F. Henriques, Pedro Martins, Jorge Batista |
| 2014 | ECCV | The Visual Object Tracking VOT2014 Challenge Results. | Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Toms Vojr, Gustavo Fernndez, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Hger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, Joo F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer fjll, 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 |
| 2014 | ICIP | Likelihood-enhanced Bayesian constrained local models. | Pedro Martins, Rui Caseiro, Joo F. Henriques, Jorge Batista |
| 2013 | CVPR | Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem. | Rui Caseiro, Pedro Martins, Joo F. Henriques, Fatima Silva Leite, Jorge P. Batista |
| 2013 | ICCV | Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition. | Joo F. Henriques, Joo Carreira, Rui Caseiro, Jorge Batista |
| 2012 | BMVC | Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors. | Pedro Martins, Rui Caseiro, Joo F. Henriques, Jorge Batista |
| 2012 | ECCV | Semi-intrinsic Mean Shift on Riemannian Manifolds. | Rui Caseiro, Joo F. Henriques, Pedro Martins, Jorge P. Batista |
| 2012 | ECCV | Exploiting the Circulant Structure of Tracking-by-Detection with Kernels. | Joo F. Henriques, Rui Caseiro, Pedro Martins, Jorge P. Batista |
| 2012 | ECCV | Discriminative Bayesian Active Shape Models. | Pedro Martins, Rui Caseiro, Joo F. Henriques, Jorge P. Batista |
| 2011 | ICCV | A nonparametric Riemannian framework on tensor field with application to foreground segmentation. | Rui Caseiro, Joo F. Henriques, Pedro Martins, Jorge P. Batista |
| 2011 | ICCV | Globally optimal solution to multi-object tracking with merged measurements. | Joo F. Henriques, Rui Caseiro, Jorge P. Batista |
| 2010 | ICIP | Using directional statistics to learn cast shadows from a multi-spectral light sources physical model. | Rui Caseiro, Joo F. Henriques, Jorge P. Batista |
| 2010 | ICIP | Tracking in streamed video by updating globally optimal matchings. | Joo F. Henriques, Rui Caseiro, Jorge P. Batista |
| 2010 | ICPR | Foreground Segmentation via Background Modeling on Riemannian Manifolds. | Rui Caseiro, Joo F. Henriques, Jorge P. Batista |