A Novel Method for Detecting Joint Angles Based on Inertial and Magnetic Sensors. - Yuqiu Huang; Minghao Gou; Peihan Zhang; Xi Wang; Haoyu Xie; Xinjun Sheng (M2VIP, 2018)

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. - Haoshu Fang; Jianhua Sun 003; Runzhong Wang; Minghao Gou; Yong-Lu Li 001; Cewu Lu (ICCV, 2019)

GraspNet: A Large-Scale Clustered and Densely Annotated Datase for Object Grasping. - Haoshu Fang; Chenxi Wang 003; Minghao Gou; Cewu Lu (CoRR, 2019)

GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping. - Haoshu Fang; Chenxi Wang 003; Minghao Gou; Cewu Lu (CVPR, 2020)

Graspness Discovery in Clutters for Fast and Accurate Grasp Detection. - Chenxi Wang 003; Haoshu Fang; Minghao Gou; Hongjie Fang; Jin Gao; Cewu Lu (ICCV, 2021)

RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images. - Minghao Gou; Haoshu Fang; Zhanda Zhu; Sheng Xu; Chenxi Wang 003; Cewu Lu (ICRA, 2021)

A Real World Dataset for Multi-view 3D Reconstruction. - Rakesh Shrestha; Siqi Hu; Minghao Gou; Ziyuan Liu; Ping Tan (ECCV (8), 2022)

Unseen Object 6D Pose Estimation: A Benchmark and Baselines. - Minghao Gou; Haolin Pan; Haoshu Fang; Ziyuan Liu; Cewu Lu; Ping Tan (CoRR, 2022)

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation. - Ziyuan Liu; Wei Liu 015; Yuzhe Qin; Fanbo Xiang; Minghao Gou; Songyan Xin; Máximo A. Roa; Berk Çalli; Hao Su 001; Yu Sun 004; Ping Tan (IEEE Robotics Autom. Lett., 2022)

Target-referenced Reactive Grasping for Dynamic Objects. - Jirong Liu; Ruo Zhang; Haoshu Fang; Minghao Gou; Hongjie Fang; Chenxi Wang 003; Sheng Xu; Hengxu Yan; Cewu Lu (CVPR, 2023)

InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation. - Jianhua Sun 003; Haoshu Fang; Yuxuan Li; Runzhong Wang; Minghao Gou; Cewu Lu (Int. J. Comput. Vis., 2023)

Robust grasping across diverse sensor qualities: The GraspNet-1Billion dataset. - Haoshu Fang; Minghao Gou; Chenxi Wang 003; Cewu Lu (Int. J. Robotics Res., 2023)

AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains. - Haoshu Fang; Chenxi Wang 003; Hongjie Fang; Minghao Gou; Jirong Liu; Hengxu Yan; Wenhai Liu; Yichen Xie 002; Cewu Lu (IEEE Trans. Robotics, 2023)