Chilam Cheang

According to our database, Chilam Cheang authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GR-MG: Leveraging Partially-Annotated Data via Multi-Modal Goal-Conditioned Policy.

Peiyan Li, Hongtao Wu, Yan Huang, Chilam Cheang, Liang Wang, Tao Kong

IEEE Robotics Autom. Lett., February, 2025

2024

GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

Chilam Cheang, Guangzeng Chen, Ya Jing, Tao Kong, Hang Li, Yifeng Li, Yuxiao Liu, Hongtao Wu, Jiafeng Xu, Yichu Yang, Hanbo Zhang, Minzhao Zhu

CoRR, 2024

IRASim: Learning Interactive Real-Robot Action Simulators.

Fangqi Zhu, Hongtao Wu, Song Guo, Yuxiao Liu, Chilam Cheang, Tao Kong

CoRR, 2024

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

Hongtao Wu, Ya Jing, Chilam Cheang, Guangzeng Chen, Jiafeng Xu, Xinghang Li, Minghuan Liu, Hang Li, Tao Kong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Vision-Language Foundation Models as Effective Robot Imitators.

Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multi-view Shape Generation for a 3D Human-like Body.

Hang Yu, Chilam Cheang, Yanwei Fu, Xiangyang Xue

ACM Trans. Multim. Comput. Commun. Appl., January, 2023

2022

HandO: a hybrid 3D hand-object reconstruction model for unknown objects.

Hang Yu, Chilam Cheang, Yanwei Fu, Xiangyang Xue

Multim. Syst., 2022

I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches.

Haitao Lin, Chilam Cheang, Yanwei Fu, Xiangyang Xue

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning 6-DoF Object Poses to Grasp Category-Level Objects by Language Instructions.

Chilam Cheang, Haitao Lin, Yanwei Fu, Xiangyang Xue

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation.

Haitao Lin, Zichang Liu, Chilam Cheang, Yanwei Fu, Guodong Guo, Xiangyang Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation.

Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, Xiangyang Xue

CoRR, 2021