activity
20222026
most citedWeakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Data

Yaoqin Ye, Yiteng Xu, Qin Sun +3

Human behaviors in real-world environments are inherently interactive, with an individual's motion shaped by surrounding agents and the scene. Such capabilities are essential for a…

cs.RO2025

SymBridge: A Human-in-the-Loop Cyber-Physical Interactive System for Adaptive Human-Robot Symbiosis

Haoran Chen, Yiteng Xu, Yiming Ren +14

The development of intelligent robots seeks to seamlessly integrate them into the human world, providing assistance and companionship in daily life and work, with the ultimate goal…

cs.CV2024

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…

cs.CV2023

Human-centric Scene Understanding for 3D Large-scale Scenarios

Yiteng Xu, Peishan Cong, Yichen Yao +6

Human-centric scene understanding is significant for real-world applications, but it is extremely challenging due to the existence of diverse human poses and actions, complex human…

cs.CV2022★ 2 cited

Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR

Peishan Cong, Yiteng Xu, Yiming Ren +5

Depth estimation is usually ill-posed and ambiguous for monocular camera-based 3D multi-person pose estimation. Since LiDAR can capture accurate depth information in long-range sce…