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Zhelun Shen

Ph.D. Student

Imperial College London


Google Scholar | Github


I am currently a PhD student in the Department of Computing at Imperial College London, supervised by Professor Jiankang Deng. Before starting my PhD, I was a Senior Researcher in computer vision at Baidu Research, where I worked closely with Dingfu Zhou, Xibin Song, and Jingdong Wang.

My earlier research focused on depth estimation, particularly binocular depth estimation. More recently, I have been exploring 3D vision, with a focus on developing unified and scalable 3D foundation models.

Contact

  • shenzhelun [at] pku.edu.cn

  • (+86)-188-2179-0364

Education

  • Ph.D. in Computing

    2026 - Present

    Imperial College London

  • M.E. in Signal and Information Processing

    2019 - 2022

    Peking University

Work Experience

  • Senior Researcher

    2022.7 - 2026.4

    Baidu

Research Highlights

  • Research Achievements: 10+ publications in top-tier conferences and journals with over 800 citations, including 4 first-authored papers at CVPR, ECCV (Oral), PR, and TPAMI. All my first-authored papers together have contributed over 600 citations.
  • Technical Excellence: Two championship titles in prestigious international AI competitions at CVPR and ECCV, serving as first author and core algorithm designer.
  • Industry Impact: Successful deployment of advanced AI technologies into large-scale products, leading to granted patents and recognition through multiple internal and external industry awards.

Selected Publications

  • GenHOI: Towards Object-Consistent Hand-Object Interaction
    with Temporally Balanced and Spatially Selective Object Injection

    Xuan Huang, Mochu Xiang, Zhelun Shen*†, Jinbo Wu, Chenming Wu, Chen Zhao, Kaisiyuan Wang, Hang Zhou, Shanshan Liu, Haocheng Feng, Wei He, Jingdong Wang

    * corresponding author; † project leader

    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 (Highlight)

    [ Project Page | Paper | Code ]

  • RnG: A Unified Transformer for Complete 3D Modeling from Partial Observations

    Mochu Xiang, Zhelun Shen*†, Xuesong Li, Jiahui Ren, Jing Zhang, Chen Zhao, Shanshan Liu, Haocheng Feng, Jingdong Wang, Yuchao Dai*

    * corresponding author; † project leader

    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 (Highlight)

    [ Project Page | Paper | Code ]

  • 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

  • 1st in Argoverse Stereo Competition (CVPR 2021 Workshop), 2021
  • 1st 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)