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Driving Like Yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving
Xiaoru Dong, Ruiqin Li, Xiao Han +7
Human driving behavior is inherently diverse, yet most end-to-end autonomous driving (E2E-AD) systems learn a single average driving style, neglecting individual differences. Achie…
HUMOF: Human Motion Forecasting in Interactive Social Scenes
Caiyi Sun, Yujing Sun, Xiao Han +5
Complex scenes present significant challenges for predicting human behaviour due to the abundance of interaction information, such as human-human and humanenvironment interactions.…
Towards Practical Human Motion Prediction with LiDAR Point Clouds
Xiao Han, Yiming Ren, Yichen Yao +2
Human motion prediction is crucial for human-centric multimedia understanding and interacting. Current methods typically rely on ground truth human poses as observed input, which i…
LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment
Yiming Ren, Xiao Han, Yichen Yao +3
LiDAR-based human motion capture has garnered significant interest in recent years for its practicability in large-scale and unconstrained environments. However, most methods rely…
A Unified Framework for Human-centric Point Cloud Video Understanding
Yiteng Xu, Kecheng Ye, Xiao Han +3
Human-centric Point Cloud Video Understanding (PVU) is an emerging field focused on extracting and interpreting human-related features from sequences of human point clouds, further…
LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment
Yiming Ren, Xiao Han, Chengfeng Zhao +4
For human-centric large-scale scenes, fine-grained modeling for 3D human global pose and shape is significant for scene understanding and can benefit many real-world applications.…