About Myself
I am currently a Ph.D. candidate in the Computer Vision and Robotic Perception (CVRP) Laboratory at National University of Singapore, under the supervision of A/P Gim Hee Lee. I worked as a computer vision algorithm engineer in Alibaba Damo Academy, and my tutors were Mr. Sun Xiuyu and Dr. Lin Ming. My research interests are machine learning and 3D computer vision, especially in neural rendering, visual perception and understanding in the real world. I received my M.S. degree in Pattern Recognition and Intelligent Systems from Beihang University, advised by Prof. Baochang Zhang.
News
😎 [03.2024] Our papers VCR-GauS and FreeSplat are accepted at NeurIPS 2024!
😎 [03.2024] Our paper UNIKD is accepted at ECCV 2024!
😎 [03.2024] Our paper GOV-NeSF is accepted at CVPR 2024!
🚀 [01.2024] I am awarded the Research Achievement Award by NUS!
😎 [03.2024] Our paper GNeSF is accepted at NeurIPS 2023!
Featured Works
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields
Yunsong Wang, Hanlin Chen, Gim Hee Lee
CVPR, 2024
[PDF] [Code]
NeuSG: Neural implicit surface reconstruction with 3d gaussian splatting guidance
Hanlin Chen, Chen Li, Yunsong Wang, Gim Hee Lee
arXiv, 2023
[PDF]
GNeSF: Generalizable Neural Semantic Fields
Hanlin Chen, Chen Li, Mengqi Guo, Zhiwen Yan, Gim Hee Lee
NeurIPS, 2023
[PDF] [Code]
Binarized Neural Architecture Search for Efficient Object Recognition
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David Doermann, Guodong Guo
IJCV, 2021
[PDF]
Anti-Bandit Neural Architecture Search for Model Defense
Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David Doermann
ECCV, 2020
[PDF] [CODE]
Binarized Neural Architecture Search
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David Doermann, Rongrong Ji
AAAI, 2020
[PDF] [CODE]
Cogradient Descent for Bilinear Optimization
Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David Doermann, Rongrong Ji, Guodong Guo
CVPR, 2020
[PDF] [CODE]
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs
Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David Doermann
IJCAI, 2020
[PDF]
Other Publications / Preprints
Song Xue†, Hanlin Chen†(co-first), Chunyu Xie, Baochang Zhang, Xuan Gong, David Doermann. Fast and Unsupervised Neural Architecture Evolution for Visual Representation Learning. IEEE Computational Intelligence Magazine, 2021.
Hanlin Chen, Xudong Zhang, et al. Efficient Facial Landmark Localization based on Binarized Neural Networks. Electronics, 2020.
Sheng Xu, Hanlin Chen, Kexin Liu, Jinhu Lii, Baochang Zhang, Efficient Block Pruning based on kernel and feature stabilization. Neural Computing and Applications, 2020.
Sheng Xu, Hanlin Chen, Kexin Liu, Jinhu Lii, Baochang Zhang. Efficient Block Pruning based on kernel and feature stablization. Proceedings of Digital Image Computing: Techniques and Applications, 2019. (DICTA 2019)
Chunlei Liu, Wenrui Ding, Yu Hu, Hanlin Chen, Baochang Zhang, Shuo Liu. Guided Convolutional Network. 13th International Conference on Distributed Smart Cameras. (ICDSC 2019)