Sheng Yu

According to our database, Sheng Yu authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

2025

RCGNet: RGB-based Category-Level 6D Object Pose Estimation with Geometric Guidance.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia

CoRR, August, 2025

6-D Object Pose Estimation Based on Point Pair Matching for Robotic Grasp Detection.

Sheng Yu, Di-Hua Zhai, Yufeng Zhan, Wencai Wang, Yuyin Guan, Yuanqing Xia

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Category-Level 6-D Object Pose Estimation With Shape Deformation for Robotic Grasp Detection.

Sheng Yu, Di-Hua Zhai, Yuyin Guan, Yuanqing Xia

IEEE Trans. Neural Networks Learn. Syst., January, 2025

TCRNet: Transparent Object Depth Completion With Cascade Refinements.

Di-Hua Zhai, Sheng Yu, Wei Wang, Yuyin Guan, Yuanqing Xia

IEEE Trans Autom. Sci. Eng., 2025

Fast and Accurate Category-Level Object Pose Estimation Without Shape Priors for Robotic Grasp Detection.

Sheng Yu, Jian Yin, Di-Hua Zhai, Yuanqing Xia

IEEE Trans Autom. Sci. Eng., 2025

KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

An Efficient Robotic Pushing and Grasping Method in Cluttered Scene.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia, Yuyin Guan

IEEE Trans. Cybern., September, 2024

A Novel Robotic Pushing and Grasping Method Based on Vision Transformer and Convolution.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia

IEEE Trans. Neural Networks Learn. Syst., August, 2024

FANet: Fast and Accurate Robotic Grasp Detection Based on Keypoints.

Di-Hua Zhai, Sheng Yu, Yuanqing Xia

IEEE Trans Autom. Sci. Eng., July, 2024

Robotic Grasp Detection With 6-D Pose Estimation Based on Graph Convolution and Refinement.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia, Wei Wang, Chengyu Zhang, Shiqi Zhao

IEEE Trans. Syst. Man Cybern. Syst., June, 2024

CatTrack: Single-Stage Category-Level 6D Object Pose Tracking via Convolution and Vision Transformer.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia, Dong Li, Shiqi Zhao

IEEE Trans. Multim., 2024

Synthetic Depth Image-Based Category-Level Object Pose Estimation With Effective Pose Decoupling and Shape Optimization.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia

IEEE Trans. Instrum. Meas., 2024

CatFormer: Category-Level 6D Object Pose Estimation with Transformer.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SKGNet: Robotic Grasp Detection With Selective Kernel Convolution.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia

IEEE Trans Autom. Sci. Eng., October, 2023

EGNet: Efficient Robotic Grasp Detection Network.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia

IEEE Trans. Ind. Electron., 2023

2022

SE-ResUNet: A Novel Robotic Grasp Detection Method.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia, Haoran Wu, Jun Liao

IEEE Robotics Autom. Lett., 2022