Stebėti
Minghao Chen
Pavadinimas
Cituota
Cituota
Metai
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
3362019
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
1872020
Crfl: Certifiably robust federated learning against backdoor attacks
C Xie, M Chen, PY Chen, B Li
International Conference on Machine Learning, 11372-11382, 2021
1612021
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
992021
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
742021
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
712023
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
632021
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
362019
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
282022
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
262020
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
232021
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
202021
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
162023
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
82023
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
52021
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
22024
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
22021
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
12022
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
Z Zhang, M Chen, S Xiao, L Peng, H Li, B Lin, P Li, W Wang, B Wu, D Cai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 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
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