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 | 34 | 2020 |
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 | 32 | 2020 |
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 | 19 | 2021 |
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 | 9 | 2020 |
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 | 6 | 2021 |
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 | 4 | 2022 |
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 | 1 | 2022 |
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 | 1 | 2022 |
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training Z Huang, M Liang, S Liang, W He arXiv preprint arXiv:2107.05804, 2021 | 1 | 2021 |
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 | | |