Follow
Mingfu Liang
Title
Cited by
Cited by
Year
Instance enhancement batch normalization: An adaptive regulator of batch noise
S Liang, Z Huang, M Liang, H Yang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4819-4827, 2020
342020
Dianet: Dense-and-implicit attention network
Z Huang, S Liang, M Liang, H Yang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4206-4214, 2020
322020
CAP: Context-Aware Pruning for Semantic Segmentation
W He, M Wu, M Liang, SK Lam
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
192021
Efficient Attention Network: Accelerate Attention by Searching Where to Plug
Z Huang, S Liang, M Liang, W He, H Yang
arXiv preprint arXiv:2011.14058, 2020
92020
Blending pruning criteria for convolutional neural networks
W He, Z Huang, M Liang, S Liang, H Yang
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
62021
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network
Z Huang, S Liang, M Liang, W He, H Yang, L Lin
arXiv preprint arXiv:2207.07858, 2022
42022
Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning
M Liang, J Zhou, W Wei, Y Wu
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
12022
Layer-wise Shared Attention Network on Dynamical System Perspective
Z Huang, S Liang, M Liang, W He, L Lin
arXiv preprint arXiv:2210.16101, 2022
12022
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training
Z Huang, M Liang, S Liang, W He
arXiv preprint arXiv:2107.05804, 2021
12021
On Robust Numerical Solver for ODE via Self-Attention Mechanism
Z Huang, M Liang, L Lin
arXiv preprint arXiv:2302.10184, 2023
2023
Supplementary of Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning
M Liang, J Zhou, W Wei, Y Wu
https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136860354-supp.pdf, 0
The system can't perform the operation now. Try again later.
Articles 1–11