Jinglei Shi

I am currently a lecturer in Computer Science School of Nankai University (NKU), before that, I worked a post-doctoral research fellow at French Institute for Research in Computer Science and Automation (INRIA), France from 2020-2021. And I received my PhD degree in Computer Science at INRIA, under the supervision of Prof. Christine Guillemot and A/Prof. Xiaoran Jiang. I got my Bachelor's degree in Electronic Information Engineering from UESTC and Master's degree & Engineer's degree in Image Processing from IMT Atlantique. My research focuses on deep learning, computational photography, and 3D vision, etc.

Email / Google Scholar / LinkedIn / CV

News

03/2023, one paper has been accepted by CVPR 2023.

02/2023, one paper has been accepted by ICASSP 2023.

12/2022, one paper has been accepted by Trans. Image Process..

09/2022, I joined Nankai University.

03/2022, one paper has been accepted by Trans. Comput. Imaging.

02/2022, one paper has been accepted by VISAPP 2022.

10/2021, one paper has been accepted by Neurocomputing.

06/2021, I received my PhD degree in Computer Science.

06/2020, one paper has been accepted by CVPR 2020.

06/2019, one paper has been accepted by Trans. Image Process..

05/2019, one paper has been accepted by ICASSP 2019.

Research

* Equal Contribution, # Corresponding Author

	JAWS: Just A Wild Shot for cinematic transfer in neural radiance fields Xi Wang, Robin Courant, Jinglei Shi#, Eric Marchand and Marc Christie In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023). [Website] [Paper] [Video] [Github]
	Light Field Compression via Compact Neural Scene Representation Jinglei Shi, Christine Guillemot In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023). [Paper]
	Untrained Neural Network Prior for Compact Light Field Representation and Compression Xiaoran Jiang, Jinglei Shi, Christine Guillemot In IEEE Transactions on Image Processing (TIP 2022). [Paper]
	Axial Refocusing Precision Model with Light Fields Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang, Christine Guillemot In Signal Processing: Image Communication (SPIC 2021).
	Deep Residual Architecture using Pixel and Feature Cues for View Synthesis and Temporal Interpolation Jinglei Shi, Xiaoran Jiang, Christine Guillemot In IEEE Transactions on Computational Imaging (TCI 2022). [Website]
	Deep Video Frame Rate Up-Conversion Network using Feature-Based Progressive Residue Refinement Jinglei Shi, Xiaoran Jiang, Christine Guillemot In International Conference on Computer Vision Theory and Applications (VISAPP 2022 (Oral)). [Paper] [Video] [Website]
	Axial Light Field Resolution Enhancement using a Learning-Based View Extrapolation Method Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang, Christine Guillemot In Neurocomputing (NC 2021). [Paper]
	Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields Jinglei Shi, Xiaoran Jiang, Christine Guillemot In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020 (Oral)). [Paper] [Video] [Github]
	A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views Jinglei Shi, Xiaoran Jiang, Christine Guillemot In IEEE Transactions on Image Processing (TIP 2019). [Paper] [Website]
	A Learning Based Depth Estimation Framework for 4D Densely and Sparsely Sampled Light Fields Xiaoran Jiang, Jinglei Shi, Christine Guillemot In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019). [Paper] [Website] [Poster]