About Myself
I am currently a third-year Ph.D. candidate in the Computer Vision and Robotic Perception (CVRP) Laboratory at National University of Singapore, supervised by Prof. Gim Hee Lee. Before that, I received my M.Comp. degree from School of Computing, National University of Singapore, and B.Eng. degree from Department of Automation in Tsinghua University, advised by Prof. Jiwen Lu. I’m broadly interested in 3D Vision, especially in 3D Gaussian Splatting, Neural Radiance Fields, and 3D Scene Understanding, where I focused on enhancing the efficency and generalization ability of models.
News
🚀 [09.2024] Two papers FreeSplat and VCR-GauS were accepted at NeurIPS 2024!
😎 [07.2024] Our paper OHDA is accepted at BMVC 2024!
🙇 [02.2024] Our paper GOV-NeSF is accepted at CVPR 2024!
😎 [11.2023] One paper is accepted at WACV 2024 as an oral paper!
😎 [10.2023] Our paper GRL is accepted at 3DV 2024 as an oral paper!
🚀 [08.2022] I am excited to join the CVRP lab of SoC, NUS as a PhD student!
Preprints
NeuSG: Neural implicit surface reconstruction with 3d gaussian splatting guidance
Hanlin Chen, Chen Li, Yunsong Wang, Gim Hee Lee
arXiv 2023
[PDF]
Publications
FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes
Yunsong Wang, Tianxin Huang, Hanlin Chen, Gim Hee Lee
NeurIPS 2024
[Project Page] [PDF] [Code]
VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
Hanlin Chen, Fangyin Wei, Chen Li, Tianxin Huang, Yunsong Wang, Gim Hee Lee
NeurIPS 2024
[Project Page] [PDF] [Code]
Syn-to-Real Unsupervised Domain Adaptation for Indoor 3D Object Detection
Yunsong Wang, Na Zhao, Gim Hee Lee
BMVC 2024
[PDF]
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields
Yunsong Wang, Hanlin Chen, Gim Hee Lee
CVPR 2024
[PDF] [Code]
Rethinking Visibility in Human Pose Estimation: Occluded Pose Reasoning via Transformer
Pengzhan Sun, Kerui Gu, Yunsong Wang, Linlin Yang, Angela Yao
WACV 2024 ( Oral Presentation )
[PDF] [Code]
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding
Yunsong Wang, Na Zhao, Gim Hee Lee
3DV 2024 ( Oral Presentation )
[PDF]
