A Learning Based Depth Estimation Framework for 4D Densely and Sparsely Sampled Light Fields. - Xiaoran Jiang; Jinglei Shi; Christine Guillemot (ICASSP, 2019)

A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views. - Jinglei Shi; Xiaoran Jiang; Christine Guillemot (IEEE Trans. Image Process., 2019)

Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields. - Jinglei Shi; Xiaoran Jiang; Christine Guillemot (CVPR, 2020)

A learning-based view extrapolation method for axial super-resolution. - Zhaolin Xiao; Jinglei Shi; Xiaoran Jiang; Christine Guillemot (Neurocomputing, 2021)

A multi-grained aspect vector learning model for unsupervised aspect identification. - Jinglei Shi; Junjun Guo; Zhengtao Yu 001; Yan Xiang (J. Intell. Fuzzy Syst., 2021)

Learning-based depth estimation from light field and view synthesis. (Estimation de profondeur à partir de champs de lumière et synthèse de vues basées apprentissage). - Jinglei Shi (2021)

Deep Video Frame Rate Up-conversion Network using Feature-based Progressive Residue Refinement. - Jinglei Shi; Xiaoran Jiang; Christine Guillemot (VISIGRAPP (4: VISAPP), 2022)

Axial refocusing precision model with light fields. - Zhaolin Xiao; Jinglei Shi; Xiaoran Jiang; Christine Guillemot (Signal Process. Image Commun., 2022)

Deep Residual Architecture Using Pixel and Feature Cues for View Synthesis and Temporal Interpolation. - Jinglei Shi; Xiaoran Jiang; Christine Guillemot (IEEE Trans. Computational Imaging, 2022)

An Untrained Neural Network Prior for Light Field Compression. - Xiaoran Jiang; Jinglei Shi; Christine Guillemot (IEEE Trans. Image Process., 2022)

JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields. - Xi Wang; Robin Courant; Jinglei Shi; Éric Marchand; Marc Christie (CVPR, 2023)

Light Field Compression Via Compact Neural Scene Representation. - Jinglei Shi; Christine Guillemot (ICASSP, 2023)

Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration. - Shihao Zhou; Duosheng Chen; Jinshan Pan; Jinglei Shi; Jufeng Yang (CVPR, 2024)

Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration. - Shihao Zhou; Jinshan Pan; Jinglei Shi; Duosheng Chen; Lishen Qu; Jufeng Yang (ECCV (16), 2024)

ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-time Semantic Segmentation. - Xin Zhang; Teodor Boyadzhiev; Jinglei Shi; Jufeng Yang (ICME, 2024)

To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation. - Chenxi Zhao 002; Jinglei Shi; Liqiang Nie; Jufeng Yang (NeurIPS, 2024)

Harmonizing Light and Darkness: A Symphony of Prior-guided Data Synthesis and Adaptive Focus for Nighttime Flare Removal. - Lishen Qu; Shihao Zhou; Jinshan Pan; Jinglei Shi; Duosheng Chen; Jufeng Yang (CoRR, 2024)

Spread Your Wings: A Radial Strip Transformer for Image Deblurring. - Duosheng Chen; Shihao Zhou; Jinshan Pan; Jinglei Shi; Lishen Qu; Jufeng Yang (CoRR, 2024)

Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression. - Jinglei Shi; Yihong Xu; Christine Guillemot (IEEE Trans. Image Process., 2024)

A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition. - Duosheng Chen; Shihao Zhou; Jinshan Pan; Jinglei Shi; Lishen Qu; Jufeng Yang (CVPR, 2025)

No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition. - Rong Qin 001; Xin Liu 091; Xingyu Liu; Jiaxuan Liu; Jinglei Shi; Liang Lin; Jufeng Yang (CVPR, 2025)

Boosting the Dual-Stream Architecture in Ultra-High Resolution Segmentation with Resolution-Biased Uncertainty Estimation. - Rong Qin 001; Xingyu Liu; Jinglei Shi; Liang Lin; Jufeng Yang (CVPR, 2025)

Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restoration. - Shihao Zhou; Dayu Li; Jinshan Pan; Juncheng Zhou; Jinglei Shi; Jufeng Yang (CoRR, 2025)