Publications

Hao-Shu Fang*, Chenxi Wang*, Minghao Gou, Cewu Lu
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
IEEE Conference on Computer Vision and Pattern Recognition (CVPR2020)
[Paper] [Supp] [Code]

[bibtex]

@inproceedings{fang2020graspnet, title={GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping}, author={Fang, Hao-Shu and Wang, Chenxi and Gou, Minghao and Lu, Cewu}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={11444--11453}, year={2020} }

Minghao Gou, Hao-Shu Fang, Zhanda Zhu, Sheng Xu, Chenxi, Wang, Cewu Lu
RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
IEEE International Conference on Robotics and Automation (ICRA 2021)
[Paper] [Code]

[bibtex]

@inproceedings{gou2021RGB, title={RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images}, author={Minghao Gou, Hao-Shu Fang, Zhanda Zhu, Sheng Xu, Chenxi Wang, Cewu Lu}, booktitle={Proceedings of the International Conference on Robotics and Automation (ICRA)}, year={2021} }

Chenxi Wang*, Hao-Shu Fang*, Minghao Gou, Hongjie Fang, Jin Gao, Cewu Lu
Graspness Discovery in Clutters for Fast and Accurate Grasp Detection
IEEE International Conference on Computer Vision (ICCV 2021)
[Paper] [Library Coming Soon]

[bibtex]

@InProceedings{Wang_2021_ICCV, author = {Wang, Chenxi and Fang, Hao-Shu and Gou, Minghao and Fang, Hongjie and Gao, Jin and Lu, Cewu}, title = {Graspness Discovery in Clutters for Fast and Accurate Grasp Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15964-15973} }

Hanwen Cao, Hao-Shu Fang, Wenhai Liu, Cewu Lu
SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping
IEEE Robotics and Automation Letters (RAL)
[Paper] [API] [baseline code] [project]

[bibtex]

@ARTICLE{suctionnet, author={Cao, Hanwen and Fang, Hao-Shu and Liu, Wenhai and Lu, Cewu}, journal={IEEE Robotics and Automation Letters}, title={SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping}, year={2021}, volume={6}, number={4}, pages={8718-8725}, doi={10.1109/LRA.2021.3115406}}

Hongjie Fang, Hao-Shu Fang, Sheng Xu, Cewu Lu
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and Grasping
IEEE Robotics and Automation Letters (RAL)
[Paper] [Project] [Repository]

[bibtex]

@ARTICLE{fang2022transcg, author={Fang, Hongjie and Fang, Hao-Shu and Xu, Sheng and Lu, Cewu}, journal={IEEE Robotics and Automation Letters}, title={TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and A Grasping Baseline}, year={2022}, volume={}, number={}, pages={1-8}, doi={10.1109/LRA.2022.3183256}}

Minghao Gou*, Haolin Pan*, Hao-Shu Fang, Ziyuan Liu, Cewu Lu, Ping Tan
Unseen Object 6D Pose Estimation: A Benchmark and Baselines
arXiv preprint
[Paper] [Project]

[bibtex]

@ARTICLE{gou2022unseen, author={Minghao Gou, Haolin Pan, Hao-Shu Fang, Ziyuan Liu, Cewu Lu, Ping Tan}, journal={arXiv preprint}, title={Unseen Object 6D Pose Estimation: A Benchmark and Baselines}, year={2022}}

Hao-Shu Fang, Chenxi Wang, Hongjie Fang, Minghao Gou, Jirong Liu, Hengxu Yan, Wenhai Liu, Yichen Xie, Cewu Lu
AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
arXiv preprint
[Paper] [Project]

[bibtex]

@article{fang2022anygrasp, title={AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains}, author={Fang, Hao-Shu and Wang, Chenxi and Fang, Hongjie and Gou, Minghao and Liu, Jirong and Yan, Hengxu and Liu, Wenhai and Xie, Yichen and Lu, Cewu}, journal={arXiv preprint arXiv:2212.08333}, year={2022}}