Jinglei
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Jinglei Shi (时晶磊)

I am currently a lecturer in Computer Science School of Nankai University (NKU), before that, I worked a post-doctoral research fellow at French Institute for Research in Computer Science and Automation (INRIA), France from 2020-2021. And I received my PhD degree in Computer Science at INRIA, under the supervision of Prof. Christine Guillemot and A/Prof. Xiaoran Jiang. I got my Bachelor's degree in Electronic Information Engineering from UESTC and Master's degree & Engineer's degree in Image Processing from IMT Atlantique. My research focuses on deep learning, computational photography, and 3D vision, etc.

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News

  • 03/2025, three papers have been accepted by CVPR 2025.

  • 12/2024, one paper has been accepted by NeurIPS 2024.

  • 09/2024, one paper has been accepted by ECCV 2024.

  • 07/2024, one paper has been accepted by Trans. Image Process..

  • 07/2024, one paper has been accepted by ICME 2024.

  • 06/2024, one paper has been accepted by CVPR 2024.

  • 06/2023, one paper has been accepted by CVPR 2023.

  • 02/2023, one paper has been accepted by ICASSP 2023.

  • 12/2022, one paper has been accepted by Trans. Image Process..

  • 09/2022, I joined Nankai University.

  • 03/2022, one paper has been accepted by Trans. Comput. Imaging.

  • 02/2022, one paper has been accepted by VISAPP 2022.

  • 10/2021, one paper has been accepted by Neurocomputing.

  • 06/2021, I received my PhD degree in Computer Science.

  • 06/2020, one paper has been accepted by CVPR 2020.

  • 06/2019, one paper has been accepted by Trans. Image Process..

  • 05/2019, one paper has been accepted by ICASSP 2019.

    • Research

    * Equal Contribution, # Corresponding Author

    To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation
    Chenxi Zhao, Jinglei Shi#, Liqiang Nie and Jufeng Yang
    In NeurIPS 2024, CCF-A
    [Paper] [Github]
    Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration
    Shihao Zhou, Jinshan Pan, Jinglei Shi#, Duosheng Chen, Lishen Qu and Jufeng Yang
    In ECCV 2024, CCF-B
    [Paper] [Github]
    Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression
    Jinglei Shi#, Yihong Xu and Christine Guillemot
    In TIP 2024, CCF-A
    [Paper]
    ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-Time Semantic Segmentation
    Xin Zhang, Teodor Boyadzhiev, Jinglei Shi# and Jufeng Yang
    In ICME 2024, CCF-B
    [Paper]
    Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration
    Shihao Zhou, Duosheng Chen, Jinshan Pan, Jinglei Shi# and Jufeng Yang
    In CVPR 2024, CCF-A
    [Paper] [Github]
    JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields
    Xi Wang*, Robin Courant*, Jinglei Shi#, Eric Marchand and Marc Christie
    In CVPR 2023, CCF-A
    [Website] [Paper] [Video] [Github]
    Light Field Compression via Compact Neural Scene Representation
    Jinglei Shi, Christine Guillemot
    In ICASSP 2023, CCF-B
    [Paper]
    Untrained Neural Network Prior for Compact Light Field Representation and Compression
    Xiaoran Jiang, Jinglei Shi, Christine Guillemot
    In TIP 2022, CCF-A
    [Paper]
    Axial Refocusing Precision Model with Light Fields
    Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang, Christine Guillemot
    In SPIC 2021, CCF-C
    Deep Residual Architecture using Pixel and Feature Cues for View Synthesis and Temporal Interpolation
    Jinglei Shi, Xiaoran Jiang, Christine Guillemot
    In TCI 2022
    [Website]
    Deep Video Frame Rate Up-Conversion Network using Feature-Based Progressive Residue Refinement
    Jinglei Shi, Xiaoran Jiang, Christine Guillemot
    In VISAPP 2022 (Oral)
    [Paper] [Video] [Website]
    Axial Light Field Resolution Enhancement using a Learning-Based View Extrapolation Method
    Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang, Christine Guillemot
    In NC 2021, CCF-C
    [Paper]
    Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields
    Jinglei Shi*, Xiaoran Jiang*, Christine Guillemot
    In CVPR 2020 (Oral), CCF-A
    [Paper] [Video] [Github]
    A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views
    Jinglei Shi, Xiaoran Jiang, Christine Guillemot
    In TIP 2019, CCF-A
    [Paper] [Website]
    A Learning Based Depth Estimation Framework for 4D Densely and Sparsely Sampled Light Fields
    Xiaoran Jiang, Jinglei Shi, Christine Guillemot
    In ICASSP 2019, CCF-B
    [Paper] [Website] [Poster]

    Services

  • Journal Reviewers of IEEE TPAMI, IEEE TIP

  • Conference Reviewers of CVPR, ICCV, ECCV etc.

  • Invited talk for workshop on Computational Imaging

  • Contributor to ERC advanced grant CLIM Project, PI: Prof. Christine Guillemot

  • Contributor to French National Research Agency DeepCIM Project, PI: Prof. Christine Guillemot

    • Awards

  • 2014, China Scholarship Council Scholarships

  • 2012, 2013, The Top-Class People's Scholarship, UESTC

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