| 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 | 106 | 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 | 44 | 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 | 19 | 2019 |
| 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 |
| An Untrained Neural Network Prior for Light Field Compression X Jiang, J Shi, C Guillemot IEEE Transactions on Image Processing 31, 6922-6936, 2022 | 3 | 2022 |
| Distilled low rank neural radiance field with quantization for light field compression J Shi, C Guillemot arXiv preprint arXiv:2208.00164, 2022 | 3 | 2022 |
| A learning-based view extrapolation method for axial super-resolution Z Xiao, J Shi, X Jiang, C Guillemot Neurocomputing 455, 229-241, 2021 | 3 | 2021 |
| Light Field Compression via Compact Neural Scene Representation J Shi, C Guillemot ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| 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 | 1 | 2023 |
| Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression J Shi, Y Xu, C Guillemot arXiv preprint arXiv:2307.06143, 2023 | | 2023 |
| Axial refocusing precision model with light fields Z Xiao, J Shi, X Jiang, C Guillemot Signal Processing: Image Communication 106, 116721, 2022 | | 2022 |
| 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, IRISAVerified email at inria.fr
