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11/06/2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Deep motion forecasting models have achieved great success when trained ...
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09/25/2022
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting
Human trajectory forecasting in crowds presents the challenges of modell...
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11/12/2021
DriverGym: Democratising Reinforcement Learning for Autonomous Driving
Despite promising progress in reinforcement learning (RL), developing al...
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05/07/2021
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
Human trajectory forecasting in crowds, at its core, is a sequence predi...
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07/07/2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Since the past few decades, human trajectory forecasting has been a fiel...
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02/02/2019