Large-Scale Long-Tailed Recognition in an Open World Z Liu, Z Miao, X Zhan, J Wang, B Gong, SX Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 447 | 2019 |
Exploiting deep generative prior for versatile image restoration and manipulation X Pan, X Zhan, B Dai, D Lin, CC Loy, P Luo IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 111 | 2021 |
Online Deep Clustering for Unsupervised Representation Learning X Zhan, J Xie, Z Liu, YS Ong, CC Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 99 | 2020 |
Detco: Unsupervised contrastive learning for object detection E Xie, J Ding, W Wang, X Zhan, H Xu, P Sun, Z Li, P Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 83 | 2021 |
Learning to Cluster Faces on an Affinity Graph L Yang, X Zhan, D Chen, J Yan, CC Loy, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 78 | 2019 |
Open Compound Domain Adaptation Z Liu, Z Miao, X Pan, X Zhan, SX Yu, D Lin, B Gong IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 71 | 2020 |
Consensus-driven propagation in massive unlabeled data for face recognition X Zhan, Z Liu, J Yan, D Lin, CC Loy European Conference on Computer Vision (ECCV), 2018 | 59 | 2018 |
Self-Supervised Scene De-occlusion X Zhan, X Pan, D Bo, Z Liu, L Dahua, CC Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 48 | 2020 |
Learning to Cluster Faces via Confidence and Connectivity Estimation L Yang, D Chen, X Zhan, R Zhao, CC Loy, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 44 | 2020 |
Switchable whitening for deep representation learning X Pan, X Zhan, J Shi, X Tang, P Luo IEEE International Conference on Computer Vision (ICCV), 2019 | 39 | 2019 |
Self-Supervised Learning via Conditional Motion Propagation X Zhan, X Pan, Z Liu, D Lin, CC Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 35 | 2019 |
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation X Zhan, Z Liu, P Luo, X Tang, CC Loy AAAI Conference on Artificial Intelligence (AAAI), 2018 | 30 | 2018 |
Delving into inter-image invariance for unsupervised visual representations J Xie, X Zhan, Z Liu, YS Ong, CC Loy arXiv preprint arXiv:2008.11702, 2020 | 17 | 2020 |
Unsupervised object-level representation learning from scene images J Xie, X Zhan, Z Liu, YS Ong, CC Loy Advances in Neural Information Processing Systems 34, 28864-28876, 2021 | 10 | 2021 |
Beyond single instance multi-view unsupervised representation learning X Chu, X Zhan, X Wei arXiv preprint arXiv:2011.13356, 2020 | 3 | 2020 |
Masked Frequency Modeling for Self-Supervised Visual Pre-Training J Xie, W Li, X Zhan, Z Liu, YS Ong, CC Loy arXiv preprint arXiv:2206.07706, 2022 | | 2022 |
Semantic segmentation model training methods and apparatuses, electronic devices, and storage media Z Xiaohang, Z Liu, P Luo, CC Loy, X Tang US Patent 11,301,719, 2022 | | 2022 |
Image processing method and device, and network training method and device Z Xiaohang, X Pan, Z Liu, D Lin, CC Loy US Patent App. 17/329,534, 2021 | | 2021 |
Exploiting Unlabeled Data for Visual Recognition X Zhan PQDT-Global, 2020 | | 2020 |
Collaborative Online Deep Clustering for Unsupervised Representation Learning X Zhan, J Xie, Z Liu, YS Ong, CC Loy Facebook AI Self-Supervision Challenge, ICCV Extreme Vision Workshop, 2019 | | 2019 |