| A framework for learning depth from a flexible subset of dense and sparse light field views J Shi, X Jiang, C Guillemot IEEE Transactions on Image Processing 28 (12), 5867-5880, 2019 | 147 | 2019 |
| Learning fused pixel and feature-based view reconstructions for light fields J Shi, X Jiang, C Guillemot Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 63 | 2020 |
| A learning based depth estimation framework for 4D densely and sparsely sampled light fields X Jiang, J Shi, C Guillemot ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 25 | 2019 |
| Adapt or perish: Adaptive sparse transformer with attentive feature refinement for image restoration S Zhou, D Chen, J Pan, J Shi, J Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 19 | 2024 |
| JAWS: just a wild shot for cinematic transfer in neural radiance fields X Wang, R Courant, J Shi, E Marchand, M Christie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Light field compression via compact neural scene representation J Shi, C Guillemot ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 11 | 2023 |
| A learning-based view extrapolation method for axial super-resolution Z Xiao, J Shi, X Jiang, C Guillemot Neurocomputing 455, 229-241, 2021 | 8 | 2021 |
| An untrained neural network prior for light field compression X Jiang, J Shi, C Guillemot IEEE Transactions on Image Processing 31, 6922-6936, 2022 | 7 | 2022 |
| Learning kernel-modulated neural representation for efficient light field compression J Shi, Y Xu, C Guillemot IEEE Transactions on Image Processing, 2024 | 6 | 2024 |
| Distilled low rank neural radiance field with quantization for light field compression J Shi, C Guillemot arXiv preprint arXiv:2208.00164, 2022 | 6 | 2022 |
| Deep residual architecture using pixel and feature cues for view synthesis and temporal interpolation J Shi, X Jiang, C Guillemot IEEE Transactions on Computational Imaging 8, 246-259, 2022 | 4 | 2022 |
| Axial refocusing precision model with light fields Z Xiao, J Shi, X Jiang, C Guillemot Signal Processing: Image Communication 106, 116721, 2022 | 3 | 2022 |
| Seeing the unseen: A frequency prompt guided transformer for image restoration S Zhou, J Pan, J Shi, D Chen, L Qu, J Yang European Conference on Computer Vision, 246-264, 2024 | 2 | 2024 |
| ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-time Semantic Segmentation X Zhang, T Boyadzhiev, J Shi, J Yang 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | 1 | 2024 |
| To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation C Zhao, J Shi, L Nie, J Yang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 1 | 2024 |
| Deep Video Frame Rate Up-conversion Network using Feature-based Progressive Residue Refinement J Shi, X Jiang, C Guillemot International Conference on Computer Vision Theory and Applications, 2022 | | 2022 |
| Learning-based depth estimation from light field and view synthesis J Shi Université Rennes 1, 2021 | | 2021 |
| Supplementary material JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields X Wang, R Courant, J Shi, E Marchand, M Christie | | |
| Supplementary Material-Learning Fused Pixel and Feature-based View Reconstructions for Light Fields J Shi, X Jiang, C Guillemot | | |
Christine GUILLEMOTDirecteur de recherche INRIA, IRISABestätigte E-Mail-Adresse bei inria.fr