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ENAC
IIC
Transportation and networks
VITA: Visual Intelligence for Transportation
Teaching
Introduction to Machine Learning for Engineers
Introduction to Machine Learning for Engineers
VITA: Visual Intelligence for Transportation
Back: VITA: Visual Intelligence for Transportation
People
Research
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Perception
Back: Perception
Skeleton-based Action Recognition
WholeBody Human Pose Estimation
3D Human Detection
Back: 3D Human Detection
When Monocular and Stereo Meet at the Tail of 3D Human Detection
Privacy-safe AI for Social Distancing
Monocular 3D Localization and Uncertainty Estimation
Joint Human Pose Estimation and Stereo 3D Localization
Pedestrian Detection and Attribute Recognition
Human Pose Estimation
Traffic Perception
Visual Re-Identification
Prediction
Back: Prediction
Adversarial attack on Trajectory Prediction Models
Robust Motion Representations
Human Trajectory Forecasting in Crowds
Vehicle Trajectory Prediction
Back: Vehicle Trajectory Prediction
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Pedestrian Stop and Go Forecasting
Pedestrian Bounding Box Prediction
Planning
Back: Planning
Robust Motion Representations
Crowd-Robot Interaction
Distribution Shifts
Generative models
Back: Generative models
Semantically-aware Discriminators
Collaborative Sampling in Generative Adversarial Networks
Generating Scalable Vector Graphics
Discrete Choice Models and Neural Networks
Semester projects
Teaching
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Introduction to Machine Learning for Engineers
Deep Learning for Autonomous Vehicles
Code/Software
Datasets
Publications
Vision reading group
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