| 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 | 1253 | 2012 |
| 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 | 1006 | 2019 |
| 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 | 213 | 2021 |
| 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 | 206 | 2015 |
| 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 | 111 | 2013 |
| 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 | 107 | 2014 |
| 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 | 84 | 2019 |
| 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 | 82 | 2021 |
| Task-oriented feature distillation L Zhang, Y Shi, Z Shi, K Ma, C Bao Advances in Neural Information Processing Systems 33, 14759-14771, 2020 | 54 | 2020 |
| 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 | 48 | 2016 |
| 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 | 47 | 2016 |
| 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 | 46 | 2020 |
| 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 | 45 | 2015 |
| 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 | 41 | 2014 |
| 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 | 36 | 2019 |
| 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 | 34 | 2020 |
| 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 | 32 | 2023 |
| Cerebellar functional parcellation using sparse dictionary learning clustering C Wang, J Kipping, C Bao, H Ji, A Qiu Frontiers in neuroscience 10, 188, 2016 | 28 | 2016 |
| 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 | 26 | 2022 |
| 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 | 22 | 2021 |
Kaisheng MaInstitute for Interdisciplinary Information Sciences, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
