| Domain adaptation for semantic segmentation with maximum squares loss M Chen, H Xue, D Cai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 313 | 2019 |
| Adversarial-learned loss for domain adaptation M Chen, S Zhao, H Liu, D Cai Proceedings of the AAAI conference on artificial intelligence 34 (04), 3521-3528, 2020 | 180 | 2020 |
| Crfl: Certifiably robust federated learning against backdoor attacks C Xie, M Chen, PY Chen, B Li International Conference on Machine Learning, 11372-11382, 2021 | 145 | 2021 |
| KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. H Feng, Z You, M Chen, T Zhang, M Zhu, F Wu, C Wu, W Chen ICML 4, 5, 2021 | 90 | 2021 |
| Complementary pseudo labels for unsupervised domain adaptation on person re-identification H Feng, M Chen, J Hu, D Shen, H Liu, D Cai IEEE Transactions on Image Processing 30, 2898-2907, 2021 | 73 | 2021 |
| Accelerate cnns from three dimensions: A comprehensive pruning framework W Wang, M Chen, S Zhao, L Chen, J Hu, H Liu, D Cai, X He, W Liu International Conference on Machine Learning, 10717-10726, 2021 | 54 | 2021 |
| Clip is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation Y Lin, M Chen, W Wang, B Wu, K Li, B Lin, H Liu, X He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 52 | 2023 |
| DBP: Discrimination based block-level pruning for deep model acceleration W Wang, S Zhao, M Chen, J Hu, D Cai, H Liu arXiv preprint arXiv:1912.10178, 2019 | 32 | 2019 |
| Frame-wise action representations for long videos via sequence contrastive learning M Chen, F Wei, C Li, D Cai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 26 | 2022 |
| Reducing the teacher-student gap via spherical knowledge disitllation J Guo, M Chen, Y Hu, C Zhu, X He, D Cai arXiv preprint arXiv:2010.07485, 2020 | 24 | 2020 |
| Shot-vae: semi-supervised deep generative models with label-aware elbo approximations HZ Feng, K Kong, M Chen, T Zhang, M Zhu, W Chen Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7413-7421, 2021 | 21 | 2021 |
| Salient object ranking with position-preserved attention H Fang, D Zhang, Y Zhang, M Chen, J Li, Y Hu, D Cai, X He Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
| Pvt-ssd: Single-stage 3d object detector with point-voxel transformer H Yang, W Wang, M Chen, B Lin, T He, H Chen, X He, W Ouyang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Morphology and Fractal Dimension of Size‐Resolved Soot Particles Emitted From Combustion Sources Y Pang, M Chen, Y Wang, X Chen, X Teng, S Kong, Z Zheng, W Li Journal of Geophysical Research: Atmospheres 128 (6), e2022JD037711, 2023 | 6 | 2023 |
| Suppress-and-refine framework for end-to-end 3d object detection Z Liu, G Xu, H Yang, M Chen, K Wu, Z Yang, H Liu, D Cai arXiv preprint arXiv:2103.10042, 2021 | 5 | 2021 |
| Learning color space adaptation from synthetic to real images of cirrus clouds Q Lyu, M Chen, X Chen The Visual Computer 37 (8), 2341-2353, 2021 | 2 | 2021 |
| Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations M Chen, R Tu, C Huang, Y Lin, B Wu, D Cai arXiv preprint arXiv:2212.03125, 2022 | 1 | 2022 |
| TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training Y Lin, M Chen, K Zhang, H Li, M Li, Z Yang, D Lv, B Lin, H Liu, D Cai Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3513-3521, 2024 | | 2024 |
| A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation M Chen, Z Gao, S Zhao, Q Qiu, W Wang, B Lin, X He arXiv preprint arXiv:2308.00287, 2023 | | 2023 |
Deng CaiProfessor of Computer Science, Zhejiang UniversityVerified email at cad.zju.edu.cn
