Duy Tho Le — accepted AI-conference papers

2024

JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments

Duy Tho Le, Chenhui Gou, Stavya Datta, Hengcan Shi, Ian Reid, Jianfei Cai +1

CVPR 2024poster

Autonomous robot systems have attracted increasing research attention in recent years where environment understanding is a crucial step for robot navigation human-robot interaction and decision. Real-world robot systems usually collect visual data from multiple sensors and are required to recognize…

Cited by 2 Source ↗PDF ↗Scholar ↗

2023

JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking

Edward Vendrow, Duy Tho Le, Jianfei Cai, Hamid Rezatofighi

CVPR 2023poster

Autonomous robotic systems operating in human environments must understand their surroundings to make accurate and safe decisions. In crowded human scenes with close-up human-robot interaction and robot navigation, a deep understanding of surrounding people requires reasoning about human motion and…

Cited by 36 Source ↗PDF ↗Scholar ↗