Alexandre Alahi

Professor

École Polytechnique Fédérale de Lausanne

Switzerland

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About

Professor Alexandre Alahi is a faculty member at École Polytechnique Fédérale de Lausanne in Switzerland. His research focuses on human interaction, autonomous systems, and urban traffic flow, as reflected in his recent publications. His work explores various aspects of robotics, deep learning, and predictive modeling, contributing valuable insights to these fields.

Articles (19)

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2021

Collaborators (8)

Lars Kunze

Stipendiary Lecturer in Computer Science

UNITED KINGDOM

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Aniket Bera

Associate Professor in Computer Science

Purdue University

UNITED STATES

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Luis J. Manso

Aston University

UNITED KINGDOM

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Alberto Del Bimbo

University of Florence

ITALY

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Auke Ijspeert

EPFL Institute of Bioengineering

SWITZERLAND

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Saeed Saadatnejad

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

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Ramón Escobedo

Universidad Carlos III de Madrid

SPAIN

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Francesco Mondada

Professor

École Polytechnique Fédérale de Lausanne

SWITZERLAND

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Alexandre Alahi

Research Interests

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About

Articles (19)

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

HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario

Social-Pose: Enhancing Trajectory Prediction With Human Body Pose

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Multi-Source Urban Traffic Flow Forecasting With Drone and Loop Detector Data

Predicting the long-term collective behaviour of fish pairs with deep learning

Toward Reliable Human Pose Forecasting With Uncertainty

CrossFeat: Semantic Cross-modal Attention for Pedestrian Behavior Forecasting

Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning

The automated collapse data constructor technique and the data‐driven methodology for seismic collapse risk assessment

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting

A Shared Representation for Photorealistic Driving Simulators

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association

Deep visual Re-identification with confidence

Adaptive hot water production based on Supervised Learning

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

Perceiving Humans: From Monocular 3D Localization to Social Distancing

Collaborators (8)

Lars Kunze

Aniket Bera

Luis J. Manso

Alberto Del Bimbo

Auke Ijspeert

Saeed Saadatnejad

Ramón Escobedo

Francesco Mondada

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