← Authors

Alexandre Alahi

50 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (76) πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🏠 Conference Loyalist (20) 🌟 Keyword Trendsetter Combo (3) πŸ‘₯ Mega-Team (20) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (11) πŸ”₯ Unstoppable (12) πŸ“ˆ Trend Setter πŸ’Ž Century Club (49) ⚑ Prolific Year (8) πŸš€ Conference Pioneer ❓ The Questioner πŸ—ƒοΈ 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

Yuejiang Liu (9) Li Fei-fei (8) Silvio Savarese (6) Parth Kothari (4) Mathieu Salzmann (4) Saeed Saadatnejad (4) Sven Kreiss (3) Ahmad Rahimi (3) Mohammadhossein Bahari (3) Kaouther Messaoud (3)

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