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Jinglei Shi
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Cited by
Cited by
Year
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
1242019
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
512020
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
212019
A learning-based view extrapolation method for axial super-resolution
Z Xiao, J Shi, X Jiang, C Guillemot
Neurocomputing 455, 229-241, 2021
72021
Distilled low rank neural radiance field with quantization for light field compression
J Shi, C Guillemot
arXiv preprint arXiv:2208.00164, 2022
62022
Light field compression via compact neural scene representation
J Shi, C Guillemot
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
52023
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
52023
An untrained neural network prior for light field compression
X Jiang, J Shi, C Guillemot
IEEE Transactions on Image Processing 31, 6922-6936, 2022
42022
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
42022
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
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Articles 1–15