Alexandre Alahi
50 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (11) 🌈 Renaissance Researcher (7)
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(11)
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Conference Polyglot
(10)
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Conference Loyalist
(20)
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Keyword Trendsetter Combo
(3)
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Mega-Team
(20)
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Deep Specialist
(11)
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Keyword Champion
(11)
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(12)
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Century Club
(49)
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Prolific Year
(8)
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Conference Pioneer
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The Questioner
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Keyword Collector
(208)
Conferences
CVPR (20)
ICCV (9)
ECCV (4)
AAAI (3)
ICML (3)
WACV (3)
CORL (2)
ICLR (2)
NIPS (2)
CLEAR (1)
EACL (1)
Top co-authors
Keywords
trajectory prediction
(11)
pose estimation
(5)
contrastive learning
(3)
recurrent neural network
(3)
autonomous vehicle
(3)
motion forecasting
(3)
domain adaptation
(3)
multi-agent system
(3)
action recognition
(2)
representation learning
(2)
distribution shift
(2)
human motion
(2)
collision avoidance
(2)
image generation
(2)
autonomous driving
(2)
person re-identification
(2)
transfer learning
(2)
causal inference
(2)
domain generalization
(2)
reinforcement learning
(2)
Papers
DRIVINGVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios
EACL 2026
MotionMap: Representing Multimodality in Human Pose Forecasting
CVPR 2025
Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting
CVPR 2025
FG^2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
CVPR 2025
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
CVPR 2025
HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation
CVPR 2025
Certified Human Trajectory Prediction
CVPR 2025
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
CVPR 2025
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
ICLR 2025
TAROT: Targeted Data Selection via Optimal Transport
ICML 2025
GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
ICCV 2025
CODE: Confident Ordinary Differential Editing
AAAI 2025
NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
WACV 2025
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
CVPR 2024
Multi-Transmotion: Pre-trained Model for Human Motion Prediction
CORL 2024
When Your AI Becomes a Target: AI Security Incidents and Best Practices
AAAI 2024
TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression
ICML 2024
Social-Transmotion: Promptable Human Trajectory Prediction
ICLR 2024
Keypoint Promptable Re-Identification
ECCV 2024
S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition
ECCV 2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
ECCV 2024
On Pitfalls of Test-Time Adaptation
ICML 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
CLEAR 2023
Body Part-Based Representation Learning for Occluded Person Re-Identification
WACV 2023
Composite Relationship Fields With Transformers for Scene Graph Generation
WACV 2023
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
CORL 2022
Vehicle Trajectory Prediction Works, but Not Everywhere
CVPR 2022
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
CVPR 2022
Keypoint Communities
ICCV 2021
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
CVPR 2021
Social NCE: Contrastive Learning of Socially-Aware Motion Representations
ICCV 2021
Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving
ICCV 2021
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
NIPS 2021
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
NIPS 2020
Collaborative Sampling in Generative Adversarial Networks
AAAI 2020
Convolutional Relational Machine for Group Activity Recognition
CVPR 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
ICCV 2019
PifPaf: Composite Fields for Human Pose Estimation
CVPR 2019
CAR-Net: Clairvoyant Attentive Recurrent Network
ECCV 2018
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks
CVPR 2018
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals
CVPR 2017
Tracking the Untrackable: Learning to Track Multiple Cues With Long-Term Dependencies
ICCV 2017
Characterizing and Improving Stability in Neural Style Transfer
ICCV 2017
Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition
CVPR 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
CVPR 2017
Social LSTM: Human Trajectory Prediction in Crowded Spaces
CVPR 2016
Recurrent Attention Models for Depth-Based Person Identification
CVPR 2016
RGB-W: When Vision Meets Wireless
ICCV 2015
Learning to Track: Online Multi-Object Tracking by Decision Making
ICCV 2015
Socially-aware Large-scale Crowd Forecasting
CVPR 2014