Alexandre Alahi
54 papers · 2014–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+15 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (80) π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Gold π Academic Marathon Β· Half π£ Hot Topic Early Bird
π
Conference Loyalist
(24)
π¬
Deep Specialist
(12)
π
Keyword Trendsetter Combo
(3)
π₯
Mega-Team Β· Squad
π
Keyword Champion
(11)
π§
Keyword Pioneer
π
Grand Slam
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Silver
β
The Questioner
β‘
Prolific Year Β· Prolific
π
Conference Pioneer
π
Century Club Β· Silver
π
Trend Setter
ποΈ
Keyword Collector
(248)
Venues
Top co-authors
Research topics
Computer Vision
(27)
Deep Learning
(27)
Machine Learning
(27)
Artificial Intelligence
(22)
Analysis
(19)
Core AI
(19)
Learning Types Β· Machine Learning
(17)
Core Methods
(14)
Architectures
(12)
Learning Types Β· Deep Learning
(12)
Domain-Specific
(9)
Models
(7)
Application Areas
(6)
Generation
(6)
Learning Paradigms
(5)
Keywords
trajectory prediction
(11)
pose estimation
(6)
motion forecasting
(4)
multimodal learning
(4)
domain adaptation
(4)
diffusion model
(3)
multi-agent system
(3)
contrastive learning
(3)
autonomous driving
(3)
representation learning
(3)
motion prediction
(3)
recurrent neural network
(3)
autonomous vehicle
(3)
neural network
(3)
action recognition
(2)
reinforcement learning
(2)
human pose estimation
(2)
causal inference
(2)
person re-identification
(2)
covariance estimation
(2)
Papers
Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation
CVPR 2026
DRIVINGVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios
EACL 2026
MAD: Motion Appearance Decoupling for efficient Driving World Models
CVPR 2026
OSMO: Open-vocabulary Self-eMOtion Tracking
CVPR 2026
SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching
CVPR 2026
Certified Human Trajectory Prediction
CVPR 2025
CODE: Confident Ordinary Differential Editing
AAAI 2025
FG^2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
CVPR 2025
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
CVPR 2025
GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
ICCV 2025
HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation
CVPR 2025
MotionMap: Representing Multimodality in Human Pose Forecasting
CVPR 2025
NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
WACV 2025
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
CVPR 2025
TAROT: Targeted Data Selection via Optimal Transport
ICML 2025
Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting
CVPR 2025
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
ICLR 2025
Keypoint Promptable Re-Identification
ECCV 2024
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
CVPR 2024
Multi-Transmotion: Pre-trained Model for Human Motion Prediction
CoRL 2024
S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition
ECCV 2024
Social-Transmotion: Promptable Human Trajectory Prediction
ICLR 2024
TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression
ICML 2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
ECCV 2024
When Your AI Becomes a Target: AI Security Incidents and Best Practices
AAAI 2024
Body Part-Based Representation Learning for Occluded Person Re-Identification
WACV 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
CLeaR 2023
Composite Relationship Fields With Transformers for Scene Graph Generation
WACV 2023
On Pitfalls of Test-Time Adaptation
ICML 2023
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
CoRL 2022
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
CVPR 2022
Vehicle Trajectory Prediction Works, but Not Everywhere
CVPR 2022
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
CVPR 2021
Keypoint Communities
ICCV 2021
Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving
ICCV 2021
Social NCE: Contrastive Learning of Socially-Aware Motion Representations
ICCV 2021
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
NeurIPS 2021
Collaborative Sampling in Generative Adversarial Networks
AAAI 2020
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
NeurIPS 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
Characterizing and Improving Stability in Neural Style Transfer
ICCV 2017
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals
CVPR 2017
Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition
CVPR 2017
Tracking the Untrackable: Learning to Track Multiple Cues With Long-Term Dependencies
ICCV 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
CVPR 2017
Recurrent Attention Models for Depth-Based Person Identification
CVPR 2016
Social LSTM: Human Trajectory Prediction in Crowded Spaces
CVPR 2016
Learning to Track: Online Multi-Object Tracking by Decision Making
ICCV 2015
RGB-W: When Vision Meets Wireless
ICCV 2015
Socially-aware Large-scale Crowd Forecasting
CVPR 2014