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Chenglong Bao
Chenglong Bao
Yau Mathematical Sciences Center, Tsinghua University
Verified email at tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
11992012
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
3382019
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
1702015
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
1012014
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
922013
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
452019
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
412015
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
392016
A convergent incoherent dictionary learning algorithm for sparse coding
C Bao, Y Quan, H Ji
European Conference on Computer Vision, 302-316, 2014
392014
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
372016
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
222021
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
202020
Cerebellar functional parcellation using sparse dictionary learning clustering
C Wang, J Kipping, C Bao, H Ji, A Qiu
Frontiers in neuroscience 10, 188, 2016
192016
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
182019
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
172020
Coherence retrieval using trace regularization
C Bao, G Barbastathis, H Ji, Z Shen, Z Zhang
SIAM Journal on Imaging Sciences 11 (1), 679-706, 2018
152018
Task-oriented feature distillation
L Zhang, Y Shi, Z Shi, K Ma, C Bao
Advances in Neural Information Processing Systems 33, 14759-14771, 2020
142020
Interpolation between residual and non-residual networks
Z Yang, Y Liu, C Bao, Z Shi
International Conference on Machine Learning, 10736-10745, 2020
82020
Efficient numerical methods for computing the stationary states of phase field crystal models
K Jiang, W Si, C Chen, C Bao
SIAM Journal on Scientific Computing 42 (6), B1350-B1377, 2020
72020
Approximation analysis of convolutional neural networks
C Bao, Q Li, Z Shen, C Tai, L Wu, X Xiang
work 65, 2014
72014
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Articles 1–20