Sheng Yu
Orcid: 0009-0002-0709-1024Affiliations:
- School of Automation, Beijing Institute of Technology, Beijing, China
According to our database1,
Sheng Yu authored at least 21 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
IEEE Trans. Ind. Electron., July, 2026
RGB-Based Category-Level Object Pose Estimation With Multi Pose Maps for Robotic Grasp Detection.
IEEE Trans Autom. Sci. Eng., 2026
GraphGrasp: Lightweight and Efficient Graph-Guided 6-DoF Robotic Grasp Pose Estimation Network.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Category-Level 6-D Object Pose Estimation With Learnable Prior Embeddings for Robotic Grasping.
IEEE Trans. Ind. Electron., November, 2025
IEEE Trans. Neural Networks Learn. Syst., July, 2025
Category-Level 6-D Object Pose Estimation With Shape Deformation for Robotic Grasp Detection.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
IEEE Trans Autom. Sci. Eng., 2025
IEEE Trans Autom. Sci. Eng., 2025
Fast and Accurate Category-Level Object Pose Estimation Without Shape Priors for Robotic Grasp Detection.
IEEE Trans Autom. Sci. Eng., 2025
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
IEEE Trans. Cybern., September, 2024
A Novel Robotic Pushing and Grasping Method Based on Vision Transformer and Convolution.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
IEEE Trans Autom. Sci. Eng., July, 2024
Robotic Grasp Detection With 6-D Pose Estimation Based on Graph Convolution and Refinement.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024
CatTrack: Single-Stage Category-Level 6D Object Pose Tracking via Convolution and Vision Transformer.
IEEE Trans. Multim., 2024
Synthetic Depth Image-Based Category-Level Object Pose Estimation With Effective Pose Decoupling and Shape Optimization.
IEEE Trans. Instrum. Meas., 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans Autom. Sci. Eng., October, 2023
2022