Alexandre Alahi

Orcid: 0000-0002-5004-1498

According to our database1, Alexandre Alahi authored at least 124 papers between 2008 and 2024.

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Bibliography

2024
Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning.
IEEE Trans. Intell. Transp. Syst., October, 2024

Toward Reliable Human Pose Forecasting With Uncertainty.
IEEE Robotics Autom. Lett., May, 2024

HEADS-UP: Head-Mounted Egocentric Dataset for Trajectory Prediction in Blind Assistance Systems.
CoRR, 2024

SoccerNet 2024 Challenges Results.
CoRR, 2024

CODE: Confident Ordinary Differential Editing.
CoRR, 2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.
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CoRR, 2024

MPL: Lifting 3D Human Pose from Multi-view 2D Poses.
CoRR, 2024

Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models.
CoRR, 2024

UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction.
CoRR, 2024

Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness.
CoRR, 2024

Certified Human Trajectory Prediction.
CoRR, 2024

Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts.
CoRR, 2024

Towards More Practical Threat Models in Artificial Intelligence Security.
Proceedings of the 33rd USENIX Security Symposium, 2024

Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Social-Transmotion: Promptable Human Trajectory Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Keypoint Promptable Re-Identification.
Proceedings of the Computer Vision - ECCV 2024, 2024

SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

When Your AI Becomes a Target: AI Security Incidents and Best Practices.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting.
IEEE Trans. Intell. Transp. Syst., April, 2023

Real-Time Localization for Closed-Loop Control of Assistive Furniture.
IEEE Robotics Autom. Lett., 2023

Images in Discrete Choice Modeling: Addressing Data Isomorphism in Multi-Modality Inputs.
CoRR, 2023

Manipulating Trajectory Prediction with Backdoors.
CoRR, 2023

Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations.
CoRR, 2023

JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds.
CoRR, 2023

TIC-TAC: A Framework To Learn And Evaluate Your Covariance.
CoRR, 2023

SoccerNet 2023 Challenges Results.
CoRR, 2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.
CoRR, 2023

Predicting long-term collective animal behavior with deep learning.
CoRR, 2023

Body Part-Based Representation Learning for Occluded Person Re-Identification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023


Composite Relationship Fields with Transformers for Scene Graph Generation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A generic diffusion-based approach for 3D human pose prediction in the wild.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On Pitfalls of Test-Time Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022
A Shared Representation for Photorealistic Driving Simulators.
IEEE Trans. Intell. Transp. Syst., 2022

Detecting 32 Pedestrian Attributes for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association.
IEEE Trans. Intell. Transp. Syst., 2022

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective.
IEEE Trans. Intell. Transp. Syst., 2022

Perceiving Humans: From Monocular 3D Localization to Social Distancing.
IEEE Trans. Intell. Transp. Syst., 2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR, 2022

Pedestrian 3D Bounding Box Prediction.
CoRR, 2022


Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Training Traffic Light Behavior with End-to-End Learning.
Proceedings of the Intelligent Autonomous Systems 17, 2022

Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Vehicle trajectory prediction works, but not everywhere.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting.
Proceedings of the Conference on Robot Learning, 2022

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Guest Editorial: Introduction to the Special Issue on Long-Term Human Motion Prediction.
IEEE Robotics Autom. Lett., 2021

Do Pedestrians Pay Attention? Eye Contact Detection in the Wild.
CoRR, 2021

Vehicle trajectory prediction works, but not everywhere.
CoRR, 2021

Causal Imitative Model for Autonomous Driving.
CoRR, 2021

DriverGym: Democratising Reinforcement Learning for Autonomous Driving.
CoRR, 2021

SVG-Net: An SVG-based Trajectory Prediction Model.
CoRR, 2021

Are socially-aware trajectory prediction models really socially-aware?
CoRR, 2021

Injecting Knowledge in Data-driven Vehicle Trajectory Predictors.
CoRR, 2021

TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Decoupled Representations for Human Pose Forecasting.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Keypoint Communities.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Social NCE: Contrastive Learning of Socially-aware Motion Representations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Interpretable Social Anchors for Human Trajectory Forecasting in Crowds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Linear Artificial Forces for Human Dynamics in Complex Contexts.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Automatic detection of hand hygiene using computer vision technology.
J. Am. Medical Informatics Assoc., 2020

Pedestrian Intention Prediction: A Multi-task Perspective.
CoRR, 2020

Perceiving Traffic from Aerial Images.
CoRR, 2020

DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Joint Human Pose Estimation and Stereo 3D Localization.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Collaborative Sampling in Generative Adversarial Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU.
npj Digit. Medicine, 2019

Using Image Priors to Improve Scene Understanding.
CoRR, 2019

Rethinking Person Re-Identification with Confidence.
CoRR, 2019

Collaborative GAN Sampling.
CoRR, 2019

Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Using a Priori Knowledge to Improve Scene Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

PifPaf: Composite Fields for Human Pose Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Convolutional Relational Machine for Group Activity Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Long-term path prediction in urban scenarios using circular distributions.
Image Vis. Comput., 2018

Let Me Not Lie: Learning MultiNomial Logit.
CoRR, 2018

CAR-Net: Clairvoyant Attentive Recurrent Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance.
Proceedings of the Machine Learning for Health Care Conference, 2017

Unsupervised camera localization in crowded spaces.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Characterizing and Improving Stability in Neural Style Transfer.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Unsupervised Learning of Long-Term Motion Dynamics for Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning to Predict Human Behavior in Crowded Scenes.
Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

Tracking Millions of Humans in Crowded Spaces.
Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016

Forecasting Social Navigation in Crowded Complex Scenes.
CoRR, 2016

Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback.
CoRR, 2016

Video Analysis for Body-worn Cameras in Law Enforcement.
CoRR, 2016

Point-based path prediction from polar histograms.
Proceedings of the 19th International Conference on Information Fusion, 2016

Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes.
Proceedings of the Computer Vision - ECCV 2016, 2016

Perceptual Losses for Real-Time Style Transfer and Super-Resolution.
Proceedings of the Computer Vision - ECCV 2016, 2016

Towards Viewpoint Invariant 3D Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Knowledge Transfer for Scene-Specific Motion Prediction.
Proceedings of the Computer Vision - ECCV 2016, 2016

Recurrent Attention Models for Depth-Based Person Identification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Social LSTM: Human Trajectory Prediction in Crowded Spaces.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Vision-Based Hand Hygiene Monitoring in Hospitals.
Proceedings of the AMIA 2016, 2016

2015
RGB-W Dataset.
Dataset, December, 2015

Learning to Track: Online Multi-object Tracking by Decision Making.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

RGB-W: When Vision Meets Wireless.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
From Bits to Images: Inversion of Local Binary Descriptors.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

SCOOP: A Real-Time Sparsity Driven People Localization Algorithm.
J. Math. Imaging Vis., 2014

Socially-Aware Large-Scale Crowd Forecasting.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

2012
Beyond bits: Reconstructing images from Local Binary Descriptors.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Foreground silhouette extraction robust to sudden changes of background appearance.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

FREAK: Fast Retina Keypoint.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Vision-Based Scene Understanding with Sparsity Promoting Priors.
PhD thesis, 2011

Sparsity Driven People Localization with a Heterogeneous Network of Cameras.
J. Math. Imaging Vis., 2011

2010
Cascade of descriptors to detect and track objects across any network of cameras.
Comput. Vis. Image Underst., 2010

Stream carving: An adaptive seam carving algorithm.
Proceedings of the International Conference on Image Processing, 2010

2009
A sparsity constrained inverse problem to locate people in a network of cameras.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Sport players detection and tracking with a mixed network of planar and omnidirectional cameras.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

2008
Object detection and matching in a mixed network of fixed and mobile cameras.
Proceedings of the 1st ACM Workshop on Analysis and Retrieval of Events/Actions and Workflows in Video Streams, 2008

A master-slave approach for object detection and matching with fixed and mobile cameras.
Proceedings of the International Conference on Image Processing, 2008


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