Jinglei Shi

Orcid: 0000-0003-2926-0415

According to our database1, Jinglei Shi authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Spread Your Wings: A Radial Strip Transformer for Image Deblurring.
CoRR, 2024

Harmonizing Light and Darkness: A Symphony of Prior-guided Data Synthesis and Adaptive Focus for Nighttime Flare Removal.
CoRR, 2024

Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration.
CoRR, 2024

2023
Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression.
CoRR, 2023

Light Field Compression Via Compact Neural Scene Representation.
Proceedings of the IEEE International Conference on Acoustics, 2023

JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
An Untrained Neural Network Prior for Light Field Compression.
IEEE Trans. Image Process., 2022

Deep Residual Architecture Using Pixel and Feature Cues for View Synthesis and Temporal Interpolation.
IEEE Trans. Computational Imaging, 2022

Axial refocusing precision model with light fields.
Signal Process. Image Commun., 2022

Deep Video Frame Rate Up-conversion Network using Feature-based Progressive Residue Refinement.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

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).
PhD thesis, 2021

A multi-grained aspect vector learning model for unsupervised aspect identification.
J. Intell. Fuzzy Syst., 2021

A learning-based view extrapolation method for axial super-resolution.
Neurocomputing, 2021

2020
Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views.
IEEE Trans. Image Process., 2019

A Learning Based Depth Estimation Framework for 4D Densely and Sparsely Sampled Light Fields.
Proceedings of the IEEE International Conference on Acoustics, 2019


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