Jia Li

Orcid: 0000-0002-2956-2846

Affiliations:
  • Beijing Normal University, School of Artificial Intelligence, Beijing, China
  • Peking University, School of Electronics Engineering and Computer Science, Key Laboratory of Machine Perception, Beijing, China (2018 - 2020)
  • Beijing Jiaotong University, Beijing Key Laboratory of Traffic Data Analysis and Mining, China (PhD 2017)


According to our database1, Jia Li authored at least 14 papers between 2012 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Fine-Tuning for Bayer Demosaicking Through Periodic-Consistent Self-Supervised Learning.
IEEE Signal Process. Lett., 2024

2023
Universal Demosaicking for Interpolation-Friendly RGBW Color Filter Arrays.
IEEE Trans. Image Process., 2023

2022
Training Neural Networks by Lifted Proximal Operator Machines.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2019
Group Collaborative Representation for Image Set Classification.
Int. J. Comput. Vis., 2019

Lifted Proximal Operator Machines.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Demosaicking based on channel-correlation adaptive dictionary learning.
J. Electronic Imaging, 2018

2017
Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking.
IEEE Trans. Image Process., 2017

Automatic Design of High-Sensitivity Color Filter Arrays With Panchromatic Pixels.
IEEE Trans. Image Process., 2017

2016
Automatic Design of Color Filter Arrays in the Frequency Domain.
IEEE Trans. Image Process., 2016

Penrose high-dynamic-range imaging.
J. Electronic Imaging, 2016

Robust graph learning via constrained elastic-net regularization.
Neurocomputing, 2016

2015
Penrose Demosaicking.
IEEE Trans. Image Process., 2015

2014
Constrained Least Squares Regression for Semi-Supervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2012
Multi-scale Convolutional Neural Networks for Natural Scene License Plate Detection.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012


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