Yu Sun

Orcid: 0000-0003-3525-2753

Affiliations:
  • Harbin Institute of Technology, China
  • JD AI Research, JD.com, Beijing, China


According to our database1, Yu Sun authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Learning Monocular Regression of 3D People in Crowds via Scene-Aware Blending and De-Occlusion.
IEEE Trans. Multim., 2024

ChatPose: Chatting about 3D Human Pose.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective.
ACM Comput. Surv., 2023

PoseGPT: Chatting about 3D Human Pose.
CoRR, 2023

TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
WOC: A Handy Webcam-based 3D Online Chatroom.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning Monocular Mesh Recovery of Multiple Body Parts Via Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2022

Putting People in their Place: Monocular Regression of 3D People in Depth.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Monocular, One-stage, Regression of Multiple 3D People.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Synthetic Training for Monocular Human Mesh Recovery.
CoRR, 2020

CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image.
CoRR, 2020

2019
Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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