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Chenglong Bao
Chenglong Bao
Yau Mathematical Sciences Center, Tsinghua University
Bestätigte E-Mail-Adresse bei tsinghua.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Real time robust l1 tracker using accelerated proximal gradient approach
C Bao, Y Wu, H Ling, H Ji
2012 IEEE conference on computer vision and pattern recognition, 1830-1837, 2012
12532012
Be your own teacher: Improve the performance of convolutional neural networks via self distillation
L Zhang, J Song, A Gao, J Chen, C Bao, K Ma
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
10352019
Self-distillation: Towards efficient and compact neural networks
L Zhang, C Bao, K Ma
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4388-4403, 2021
2222021
Dictionary learning for sparse coding: Algorithms and convergence analysis
C Bao, H Ji, Y Quan, Z Shen
IEEE transactions on pattern analysis and machine intelligence 38 (7), 1356-1369, 2015
2092015
Fast sparsity-based orthogonal dictionary learning for image restoration
C Bao, JF Cai, H Ji
Proceedings of the IEEE International Conference on Computer Vision, 3384-3391, 2013
1112013
L0 norm based dictionary learning by proximal methods with global convergence
C Bao, H Ji, Y Quan, Z Shen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
1092014
Afec: Active forgetting of negative transfer in continual learning
L Wang, M Zhang, Z Jia, Q Li, C Bao, K Ma, J Zhu, Y Zhong
Advances in Neural Information Processing Systems 34, 22379-22391, 2021
882021
Scan: A scalable neural networks framework towards compact and efficient models
L Zhang, Z Tan, J Song, J Chen, C Bao, K Ma
Advances in Neural Information Processing Systems 32, 2019
882019
Task-oriented feature distillation
L Zhang, Y Shi, Z Shi, K Ma, C Bao
Advances in Neural Information Processing Systems 33, 14759-14771, 2020
562020
Auxiliary training: Towards accurate and robust models
L Zhang, M Yu, T Chen, Z Shi, C Bao, K Ma
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
482020
Image restoration by minimizing zero norm of wavelet frame coefficients
C Bao, B Dong, L Hou, Z Shen, X Zhang, X Zhang
Inverse problems 32 (11), 115004, 2016
482016
Equiangular kernel dictionary learning with applications to dynamic texture analysis
Y Quan, C Bao, H Ji
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
482016
Convergence analysis for iterative data-driven tight frame construction scheme
C Bao, H Ji, Z Shen
Applied and Computational Harmonic Analysis 38 (3), 510-523, 2015
462015
A convergent incoherent dictionary learning algorithm for sparse coding
C Bao, Y Quan, H Ji
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
412014
Barzilai–Borwein-based adaptive learning rate for deep learning
J Liang, Y Xu, C Bao, Y Quan, H Ji
Pattern Recognition Letters 128, 197-203, 2019
372019
Light-weight calibrator: a separable component for unsupervised domain adaptation
S Ye, K Wu, M Zhou, Y Yang, SH Tan, K Xu, J Song, C Bao, K Ma
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
342020
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds
Y Zhou, C Bao, C Ding, J Zhu
Mathematical Programming 201 (1), 1-61, 2023
332023
Cerebellar functional parcellation using sparse dictionary learning clustering
C Wang, J Kipping, C Bao, H Ji, A Qiu
Frontiers in neuroscience 10, 188, 2016
282016
Learn from unpaired data for image restoration: A variational bayes approach
D Zheng, X Zhang, K Ma, C Bao
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5889-5903, 2022
272022
An unsupervised deep learning approach for real-world image denoising
D Zheng, SH Tan, X Zhang, Z Shi, K Ma, C Bao
International Conference on Learning Representations, 2021
232021
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