JoΓ£o F. Henriques
35 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (8) π Academic Marathon (12) π Conference Polyglot (8) πΊοΈ Taxonomy Completionist (68)
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Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(68)
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Renaissance Researcher
(8)
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Keyword Trendsetter Combo
(5)
π€
Dynamic Duo
(13)
π₯
Unstoppable
(13)
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Century Club
(35)
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Trend Setter
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Conference Pioneer
β‘
Prolific Year
(5)
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Keyword Collector
(159)
Conferences
ICCV (9)
NIPS (7)
CVPR (6)
ICLR (6)
ECCV (3)
ICML (2)
ACL (1)
INTERSPEECH (1)
Top co-authors
Keywords
object detection
(4)
semantic segmentation
(3)
contrastive learning
(3)
neural network
(2)
representation learning
(2)
imitation learning
(2)
convolutional neural network
(2)
self-supervised learning
(2)
mutual information
(2)
3d localization
(2)
domain adaptation
(2)
video understanding
(2)
unsupervised learning
(2)
instance segmentation
(2)
video representation
(2)
pose estimation
(2)
semi-supervised learning
(1)
benchmark evaluation
(1)
stochastic gradient descent
(1)
image classification
(1)
Papers
CRAM: Large Scale Video Continual Learning with Bootstrapped Compression
ICCV 2025
TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes
ICCV 2025
TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs
ICML 2025
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
ICLR 2025
Text2Loc: 3D Point Cloud Localization from Natural Language
CVPR 2024
Unsupervised Object Detection with Theoretical Guarantees
NIPS 2024
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits
ACL 2024
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
ICLR 2024
Select to Perfect: Imitating desired behavior from large multi-agent data
ICLR 2024
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
NIPS 2023
Extracting Reward Functions from Diffusion Models
NIPS 2023
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images
ICCV 2023
RbA: Segmenting Unknown Regions Rejected by All
ICCV 2023
A Light Touch Approach to Teaching Transformers Multi-View Geometry
CVPR 2023
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data
ECCV 2022
Learn what matters: cross-domain imitation learning with task-relevant embeddings
NIPS 2022
Towards Real-World Navigation With Deep Differentiable Planners
CVPR 2022
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
ICLR 2022
Audio Retrieval with Natural Language Queries
INTERSPEECH 2021
On Compositions of Transformations in Contrastive Self-Supervised Learning
ICCV 2021
Space-Time Crop & Attend: Improving Cross-Modal Video Representation Learning
ICCV 2021
Support-set bottlenecks for video-text representation learning
ICLR 2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
NIPS 2021
360(o) Camera Alignment via Segmentation
ECCV 2020
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
ICCV 2019
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning
ICCV 2019
Meta-learning with differentiable closed-form solvers
ICLR 2019
Long-term Tracking in the Wild: a Benchmark
ECCV 2018
MapNet: An Allocentric Spatial Memory for Mapping Environments
CVPR 2018
Warped Convolutions: Efficient Invariance to Spatial Transformations
ICML 2017
Learning feed-forward one-shot learners
NIPS 2016
Beyond the Shortest Path : Unsupervised Domain Adaptation by Sampling Subspaces Along the Spline Flow
CVPR 2015
Fast Training of Pose Detectors in the Fourier Domain
NIPS 2014
Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition
ICCV 2013
Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem
CVPR 2013