Showing 50 publications by João Henriques
3D-Aware Instance Segmentation and Tracking in Egocentric Videos
Bhalgat Y, Tschernezki V, Laina I, Henriques JF, Vedaldi A et al. (2025), 15474, 347-364
N2F2: hierarchical scene understanding with nested neural feature fields
Bhalgat Y, Laina I, Henriques J, Zisserman A & Vedaldi A (2024), Computer Vision ??? ECCV 2024 18th European Conference, Milan, Italy, September 29???October 4, 2024, Proceedings, Part LIX, 197-214
Contrastive lift: 3D object instance segmentation by slow-fast contrastive fusion
Bhalgat Y, Laina I, Henriques J, Zisserman A & Vedaldi A (2024), Advances in Neural Information Processing Systems 36, 9092
BibTeX
@inproceedings{contrastivelift-2024/10,
title={Contrastive lift: 3D object instance segmentation by slow-fast contrastive fusion},
author={Bhalgat Y, Laina I, Henriques J, Zisserman A & Vedaldi A},
booktitle={37th Conference in Neural Information Processing Systems (NeurIPS 2023)},
pages={9092},
year = "2024"
}
Dissecting Temporal Understanding in Text-to-Audio Retrieval
Oncescu AM, Henriques JF & Koepke AS (2024), MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia, 9535-9543
HelloFresh: LLM evaluations on streams of real-world human editorial actions across X community notes and Wikipedia edits
Franzmeyer T, Shtedritski A, Albanie S, Torr P, Henriques JF et al. (2024), Findings of the Association for Computational Linguistics: ACL 2024, 12702-12716
BibTeX
@inproceedings{hellofreshllmev-2024/9,
title={HelloFresh: LLM evaluations on streams of real-world human editorial actions across X community notes and Wikipedia edits},
author={Franzmeyer T, Shtedritski A, Albanie S, Torr P, Henriques JF et al.},
booktitle={62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)},
pages={12702-12716},
year = "2024"
}
Neural fields for co-reconstructing 3D objects from incidental 2D data
Campbell D, Insafutdinov E, Henriques JF & Vedaldi A (2024), Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2024), 2883-2893
BibTeX
@inproceedings{neuralfieldsfor-2024/6,
title={Neural fields for co-reconstructing 3D objects from incidental 2D data},
author={Campbell D, Insafutdinov E, Henriques JF & Vedaldi A},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2024)},
pages={2883-2893},
year = "2024"
}
Select to Perfect: Imitating desired behavior from large multi-agent data
Franzmeyer T, Elkind E, Torr P, Foerster J & Henriques J (2024)
A sound approach: using large language models to generate audio descriptions for egocentric text-audio retrieval
Oncescu A-M, Henriques JF, Zisserman A, Albanie S & Koepke AS (2024), Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2024), 7300-7304
BibTeX
@inproceedings{asoundapproachu-2024/4,
title={A sound approach: using large language models to generate audio descriptions for egocentric text-audio retrieval},
author={Oncescu A-M, Henriques JF, Zisserman A, Albanie S & Koepke AS},
booktitle={49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2024)},
pages={7300-7304},
year = "2024"
}
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields
Bhalgat Y, Laina I, Henriques JF, Zisserman A & Vedaldi A (2024)
SCENES: Subpixel Correspondence EstimationWith Epipolar Supervision
Kloepfer DA, Henriques JF & Campbell D (2024), 00, 21-30
Select to perfect: imitating desired behavior from large multi-agent data
Franzmeyer T, Elkind E, Torr P, Foerster J & Henriques JF (2024), Proceedings of the 12th International Conference on Learning Representations (ICLR 2024)
BibTeX
@inproceedings{selecttoperfect-2024/1,
title={Select to perfect: imitating desired behavior from large multi-agent data},
author={Franzmeyer T, Elkind E, Torr P, Foerster J & Henriques JF},
booktitle={12th International Conference on Learning Representations (ICLR 2024)},
year = "2024"
}
ILLUSORY ATTACKS: INFORMATION-THEORETIC DETECTABILITY MATTERS IN ADVERSARIAL ATTACKS
Franzmeyer T, McAleer S, Henriques J, Foerster J, Torr P et al. (2024), 12th International Conference on Learning Representations, ICLR 2024
BibTeX
@inproceedings{illusoryattacks-2024/1,
title={ILLUSORY ATTACKS: INFORMATION-THEORETIC DETECTABILITY MATTERS IN ADVERSARIAL ATTACKS},
author={Franzmeyer T, McAleer S, Henriques J, Foerster J, Torr P et al.},
year = "2024"
}
Rapid Motor Adaptation for Robotic Manipulator Arms
Liang Y, Ellis K & Henriques J (2024), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 16404-16413
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images
Kloepfer DA, Campbell D & Henriques JF (2023), 00, 16588-16598
CASSPR: Cross Attention Single Scan Place Recognition
Xia Y, Gladkova M, Wang R, Li Q, Stilla U et al. (2023), 00, 8427-8438
RbA: Segmenting Unknown Regions Rejected by All
Nayal N, Yavuz M, Henriques JF & G??ney F (2023), 00, 711-722
A light touch approach to teaching transformers multi-view geometry
Bhalgat Y, Henriques J & Zisserman A (2023), Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR 2023), 4958-4969
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
Bhalgat Y, Laina I, Henriques JF, Zisserman A & Vedaldi A (2023)
Learn what matters: cross-domain imitation learning with task-relevant embeddings
Franzmeyer T, Torr P & Henriques J (2023), Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35
BibTeX
@inproceedings{learnwhatmatter-2023/4,
title={Learn what matters: cross-domain imitation learning with task-relevant embeddings},
author={Franzmeyer T, Torr P & Henriques J},
booktitle={36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022)},
year = "2023"
}
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
Milani S, Kanervisto A, Ramanauskas K, Schulhoff S, Houghton B et al. (2023), Proceedings of Machine Learning Research, 220, 171-188
BibTeX
@inproceedings{towardssolvingf-2023/1,
title={Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition},
author={Milani S, Kanervisto A, Ramanauskas K, Schulhoff S, Houghton B et al.},
pages={171-188},
year = "2023"
}
Extracting Reward Functions from Diffusion Models
Nuti F, Franzmeyer T & Henriques JF (2023), Advances in Neural Information Processing Systems, 36, 50196-50220
BibTeX
@inproceedings{extractingrewar-2023/1,
title={Extracting Reward Functions from Diffusion Models},
author={Nuti F, Franzmeyer T & Henriques JF},
pages={50196-50220},
year = "2023"
}
SNeS: learning probably symmetric neural surfaces from incomplete data
Insafutdinov E, Campbell D & Vedaldi A (2022)
Towards real-world navigation with deep differentiable planners
Ishida S & Henriques JF (2022), Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), 17306-17315
Towards real-world navigation with deep differentiable planners
Ishida S & Henriques JF (2022), Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), 17306-17315
SNeS: learning probably symmetric neural surfaces from incomplete data
Insafutdinov E, Campbell D, Henriques JF & Vedaldi A (2022)
Learning altruistic behaviours in reinforcement learning without external rewards
Franzmeyer T, Malinowski M & Henriques JF (2022)
BibTeX
@inproceedings{learningaltruis-2022/4,
title={Learning altruistic behaviours in reinforcement learning without external rewards},
author={Franzmeyer T, Malinowski M & Henriques JF},
booktitle={10th International Conference on Learning Representations (ICLR 2022)},
year = "2022"
}
Learning altruistic behaviours in reinforcement learning without external rewards
Franzmeyer T, Malinowski M & Henriques JF (2022)
BibTeX
@inproceedings{learningaltruis-2022/4,
title={Learning altruistic behaviours in reinforcement learning without external rewards},
author={Franzmeyer T, Malinowski M & Henriques JF},
booktitle={10th International Conference on Learning Representations (ICLR 2022)},
year = "2022"
}
Space-Time Crop & Attend: improving cross-modal video representation learning
Patrick M, Huang P-Y, Misra I, Metze F, Vedaldi A et al. (2022), 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 10540-10552
BibTeX
@inproceedings{spacetimecropat-2022/2,
title={Space-Time Crop & Attend: improving cross-modal video representation learning},
author={Patrick M, Huang P-Y, Misra I, Metze F, Vedaldi A et al.},
booktitle={2021 IEEE/CVF International Conference on Computer Vision (ICCV)},
pages={10540-10552},
year = "2022"
}
On compositions of transformations in contrastive self-supervised learning
Yuki M. Asano Y, Patrick M, Kuznetsova P, Fong R, Henriques J et al. (2022), Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision (ICCV 2021), 9557-9567
BibTeX
@inproceedings{oncompositionso-2022/2,
title={On compositions of transformations in contrastive self-supervised learning},
author={Yuki M. Asano Y, Patrick M, Kuznetsova P, Fong R, Henriques J et al.},
booktitle={2021 IEEE/CVF International Conference on Computer Vision (ICCV 2021)},
pages={9557-9567},
year = "2022"
}
Preface
Albanie S, Henriques JF, Bertinetto L, Hern??ndez-Garc??a A, Doughty H et al. (2022), Proceedings of Machine Learning Research, 181
BibTeX
@article{preface-2022/1,
title={Preface},
author={Albanie S, Henriques JF, Bertinetto L, Hern??ndez-Garc??a A, Doughty H et al.},
journal={Proceedings of Machine Learning Research},
volume={181},
year = "2022"
}
Keeping your eye on the ball: Trajectory attention in video transformers
Patrick M, Campbell D, Asano Y, Misra I, Metze F et al. (2021), Advances in Neural Information Processing Systems 34, 34, 12493-12506
BibTeX
@inproceedings{keepingyoureyeo-2021/12,
title={Keeping your eye on the ball: Trajectory attention in video transformers},
author={Patrick M, Campbell D, Asano Y, Misra I, Metze F et al.},
booktitle={35th Conference on Neural Information Processing Systems (NeurIPS 2021)},
pages={12493-12506},
year = "2021"
}
Moving SLAM: fully unsupervised deep learning in non-rigid scenes
Xu D, Vedaldi A & Henriques JF (2021), Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), 4611-4617
Audio retrieval with natural language queries
Oncescu A-M, Koepke AS, Henriques J, Akata Z & Albanie S (2021), Proceedings of Interspeech 2021, 2411-2415
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Patrick M, Campbell D, Asano YM, Misra I, Metze F et al. (2021)
QUERYD: a video dataset with high-quality text and audio narrations
Oncescu A-M, Henriques J, Liu Y, Zisserman A & Albanie S (2021), ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2265-2269
BibTeX
@inproceedings{querydavideodat-2021/5,
title={QUERYD: a video dataset with high-quality text and audio narrations},
author={Oncescu A-M, Henriques J, Liu Y, Zisserman A & Albanie S},
booktitle={2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)},
pages={2265-2269},
year = "2021"
}
Support-set bottlenecks for video-text representation learning
Patrick M, Huang P, Asano Y, Metze F, Hauptmann A et al. (2021)
BibTeX
@inproceedings{supportsetbottl-2021/5,
title={Support-set bottlenecks for video-text representation learning},
author={Patrick M, Huang P, Asano Y, Metze F, Hauptmann A et al.},
booktitle={9th International Conference on Learning Representations (ICLR 2021)},
year = "2021"
}
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
Patrick M, Asano YM, Huang B, Misra I, Metze F et al. (2021)
Preface
Bertinetto L, Henriques JF, Albanie S, Paganini M & Varol G (2021), Proceedings of Machine Learning Research, 148, I
BibTeX
@article{preface-2021/1,
title={Preface},
author={Bertinetto L, Henriques JF, Albanie S, Paganini M & Varol G},
journal={Proceedings of Machine Learning Research},
volume={148},
pages={I},
year = "2021"
}
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks
Jiao J & Henriques JF (2021), 32nd British Machine Vision Conference, BMVC 2021
BibTeX
@inproceedings{quantisedtransf-2021/1,
title={Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks},
author={Jiao J & Henriques JF},
year = "2021"
}
Gradient Shape Model
Martins P, Henriques JF & Batista J (2020), International Journal of Computer Vision, 128(12), 2828-2848
Support-set bottlenecks for video-text representation learning
Patrick M, Huang P-Y, Asano Y, Metze F, Hauptmann A et al. (2020)
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Ji X, Henriques J, Tuytelaars T & Vedaldi A (2020)
On Compositions of Transformations in Contrastive Self-Supervised Learning
Patrick M, Asano YM, Kuznetsova P, Fong R, Henriques JF et al. (2020)
Small steps and giant leaps: minimal newton solvers for deep learning
Henriques J, Ehrhardt S, Albanie S & Vedaldi A (2020), Proceedings of the International Conference on Computer Vision 2019
Invariant information clustering for unsupervised image classification and segmentation
Ji X, Henriques JF & Vedaldi A (2020), 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 9864-9873
360 Camera Alignment via Segmentation
Davidson B, Alvi MS & Henriques JF (2020), Lecture Notes in Computer Science, 12373, 579-595
Meta-learning with differentiable closed-form solvers
Bertinetto L, Henriques J, Torr P & Vedaldi A (2019), Proceedings of the International Conference on Learning Representations (ICLR 2019)
BibTeX
@inproceedings{metalearningwit-2019/2,
title={Meta-learning with differentiable closed-form solvers},
author={Bertinetto L, Henriques J, Torr P & Vedaldi A},
booktitle={7th International Conference on Learning Representations (ICLR 2019)},
year = "2019"
}
The sixth visual object tracking VOT2018 challenge results
Kristan M, Leonardis A, Matas J, Vedaldi A, Henriques J et al. (2019), ECCV 2018: Computer Vision ??? ECCV 2018 Workshops, 11129, 3-53