Zhelun Shen

Senior Researcher

Baidu

Google Scholar | Github

I am currently a senior researcher working for computer vision at Baidu. Before that, I received my master degree in signal and information processing from Peking University in 2022 and my B.E. degree, advised by Prof. Yuchao Dai, at the School of Electronics and Information, Northwestern Polytechnical University in 2019.

My research mainly focuses on depth estimation, especially regarding binocular depth estimation. I am also interested in Generative AI, especially 3D-Aware Controllable Video Generation.

Contact

shenzhelun [at] pku.edu.cn
(+86)-188-2179-0364

Education

M.E. in Signal and Information Processing

2019 - 2022

Peking University
B.E. in Communication Engineering

2015 - 2019

Northwestern Polytechnical University

Research Highlights

Publication:: 7 papers in top-tier conferences and journals with nearly 300 citations, including 3 first authored papers (1 CVPR, 1 ECCV oral, and 1 TPAMI).
Competition: Two championships in top-tier conferences’workshop challenges, i.e., CVPR2021 Argoverse Stereo Competition and ECCV2020 Robust Vision Challenge.
Open source: Owner of paddle’s official repo: Paddle Depth, which is a lightweight toolkit for depth information sensing, i.e., depth super resolution, depth completion, monocular depth estimation, and stereo depth estimation.

Selected Publications

Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching

Zhelun Shen, Xibin Song, Yuchao Dai, Dingfu Zhou, Zhibo Rao, Liangjun Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

[ Paper | Code ]
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching

Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou, Liangjun Zhang

European Conference on Computer Vision (ECCV), 2022 (Oral with 2.7% acceptance rate)

[ Paper | Code ]
Cfnet: Cascade and fused cost volume for robust stereo matching

Zhelun Shen, Yuchao Dai, Zhibo Rao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

[ Paper | Code ]
Digging into Depth Priors for Outdoor Neural Radiance Fields

Chen Wang, Jiadai Sun, Lina Liu, Chenming Wu^*, Zhelun Shen^*, Dayan Wu, Yuchao Dai, Liangjun Zhang

* denotes corresponding author

Proceedings of the 31th ACM International Conference on Multimedia (ACMMM), 2023 (Oral)

[ Project Page | Paper | Code ]
Masked representation learning for domain generalized stereo matching

Zhibo Rao, Bangshu Xiong, Mingyi He, Yuchao Dai, Renjie He, Zhelun Shen, Xing Li

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

[ Paper ]
TUSR-Net: Triple Unfolding Single Image Dehazing With Self-Regularization and Dual Feature to Pixel Attention

Xibin Song, Dingfu Zhou, Wei Li, Yuchao Dai, Zhelun Shen, Liangjun Zhang, Hongdong Li

IEEE Transactions on Image Processing (TIP), 2023

[ Paper ]
Rethinking training strategy in stereo matching

Zhibo Rao, Yuchao Dai, Zhelun Shen, Renjie He

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022

[ Paper ]

Awards & Honors

1^st in Argoverse Stereo Competition (CVPR 2021 Workshop), 2021
1^st in stereo track of Robust Vision Challenge 2020 (ECCV2020 Workshop), 2020
Outstanding Undergraduate Student, Northwestern Polytechnical University, China, 2019
National Scholarship (Top 1% in Northwestern Polytechnical University), 2016-2017

Reviewer

IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Medical Imaging (TMI)
Pattern Recognition (PR)
IEEE Robotics and Automation Letters (RAL)