João F. Henriques

According to our database1, João F. Henriques authored at least 74 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SCENES: Subpixel Correspondence Estimation With Epipolar Supervision.
CoRR, 2024

LangProp: A code optimization framework using Language Models applied to driving.
CoRR, 2024

2023
Audio Retrieval With Natural Language Queries: A Benchmark Study.
IEEE Trans. Multim., 2023

Text2Loc: 3D Point Cloud Localization from Natural Language.
CoRR, 2023

Large Language Models are Few-shot Publication Scoopers.
CoRR, 2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.
CoRR, 2023

Extracting Reward Functions from Diffusion Models.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalised Lookahead Optimiser.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

RbA: Segmenting Unknown Regions Rejected by All.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LoCUS: Learning Multiscale 3D-consistent Features from Posed Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CASSPR: Cross Attention Single Scan Place Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Light Touch Approach to Teaching Transformers Multi-view Geometry.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Pixels Together Strong: Segmenting Unknown Regions Rejected by All.
CoRR, 2022

PVT3D: Point Voxel Transformers for Place Recognition from Sparse Lidar Scans.
CoRR, 2022

Illusionary Attacks on Sequential Decision Makers and Countermeasures.
CoRR, 2022

A 23 MW data centre is all you need.
CoRR, 2022

Learn what matters: cross-domain imitation learning with task-relevant embeddings.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards real-world navigation with deep differentiable planners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
On the Origin of Species of Self-Supervised Learning.
CoRR, 2021

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

Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Audio Retrieval with Natural Language Queries.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Support-set bottlenecks for video-text representation learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

On Compositions of Transformations in Contrastive Self-Supervised Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

QUERYD: A Video Dataset with High-Quality Text and Audio Narrations.
Proceedings of the IEEE International Conference on Acoustics, 2021

Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Gradient Shape Model.
Int. J. Comput. Vis., 2020

QuerYD: A video dataset with high-quality textual and audio narrations.
CoRR, 2020

Automatic Recall Machines: Internal Replay, Continual Learning and the Brain.
CoRR, 2020

State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication.
CoRR, 2020

Multi-modal Self-Supervision from Generalized Data Transformations.
CoRR, 2020

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

360$^{\circ }$ Camera Alignment via Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Deep Industrial Espionage.
CoRR, 2019

Meta-learning with differentiable closed-form solvers.
Proceedings of the 7th International Conference on Learning Representations, 2019

Invariant Information Clustering for Unsupervised Image Classification and Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Invariant Information Distillation for Unsupervised Image Segmentation and Clustering.
CoRR, 2018

Substitute Teacher Networks: Learning with Almost No Supervision.
CoRR, 2018

Long-Term Tracking in the Wild: A Benchmark.
Proceedings of the Computer Vision - ECCV 2018, 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

MapNet: An Allocentric Spatial Memory for Mapping Environments.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Stopping GAN Violence: Generative Unadversarial Networks.
CoRR, 2017

Warped Convolutions: Efficient Invariance to Spatial Transformations.
Proceedings of the 34th International Conference on Machine Learning, 2017

The Visual Object Tracking VOT2017 Challenge Results.
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Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

End-to-End Representation Learning for Correlation Filter Based Tracking.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Bayesian Constrained Local Models Revisited.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

ResearchDoom and CocoDoom: Learning Computer Vision with Games.
CoRR, 2016

Learning feed-forward one-shot learners.
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.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Fully-Convolutional Siamese Networks for Object Tracking.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
High-Speed Tracking with Kernelized Correlation Filters.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Fast Training of Pose Detectors in the Fourier Domain.
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.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014


2013
Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem.
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.
Pattern Recognit., 2012

Discriminative Bayesian Active Shape Models.
Proceedings of the Computer Vision - ECCV 2012, 2012

Exploiting the Circulant Structure of Tracking-by-Detection with Kernels.
Proceedings of the Computer Vision - ECCV 2012, 2012

Semi-intrinsic Mean Shift on Riemannian Manifolds.
Proceedings of the Computer Vision - ECCV 2012, 2012

Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors.
Proceedings of the British Machine Vision Conference, 2012

2011
Globally optimal solution to multi-object tracking with merged measurements.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Dynamic Global Optimization Framework for Real-time Tracking.
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.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Tracking in streamed video by updating globally optimal matchings.
Proceedings of the International Conference on Image Processing, 2010

Using directional statistics to learn cast shadows from a multi-spectral light sources physical model.
Proceedings of the International Conference on Image Processing, 2010


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