| MMDetection: Open mmlab detection toolbox and benchmark K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ... arXiv preprint arXiv:1906.07155, 2019 | 3210 | 2019 |
| Large scale incremental learning Y Wu, Y Chen, L Wang, Y Ye, Z Liu, Y Guo, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1382 | 2019 |
| Rethinking Classification and Localization for Object Detection Y Wu, Y Chen, L Yuan, Z Liu, L Wang, H Li, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 696 | 2020 |
| Incremental classifier learning with generative adversarial networks Y Wu, Y Chen, L Wang, Y Ye, Z Liu, Y Guo, Z Zhang, Y Fu arXiv preprint arXiv:1802.00853, 2018 | 139 | 2018 |
| Visual kinship recognition of families in the wild JP Robinson, M Shao, Y Wu, H Liu, T Gillis, Y Fu IEEE Transactions on pattern analysis and machine intelligence 40 (11), 2624 …, 2018 | 122 | 2018 |
| Families in the wild (fiw) large-scale kinship image database and benchmarks JP Robinson, M Shao, Y Wu, Y Fu Proceedings of the 24th ACM international conference on Multimedia, 242-246, 2016 | 114 | 2016 |
| Clustering with outlier removal H Liu, J Li, Y Wu, Y Fu IEEE transactions on knowledge and data engineering 33 (6), 2369-2379, 2019 | 96 | 2019 |
| Deep convolutional neural network with independent softmax for large scale face recognition Y Wu, J Li, Y Kong, Y Fu Proceedings of the 24th ACM international conference on Multimedia, 1063-1067, 2016 | 81 | 2016 |
| Deep face recognition with center invariant loss Y Wu, H Liu, J Li, Y Fu Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 408-414, 2017 | 74 | 2017 |
| Deep bi-directional cross-triplet embedding for cross-domain clothing retrieval S Jiang, Y Wu, Y Fu Proceedings of the 24th ACM international conference on Multimedia, 52-56, 2016 | 48 | 2016 |
| Recognizing families in the wild (rfiw) data challenge workshop in conjunction with acm mm 2017 JP Robinson, M Shao, H Zhao, Y Wu, T Gillis, Y Fu Proceedings of the 2017 Workshop on Recognizing Families in the Wild, 5-12, 2017 | 43 | 2017 |
| Low-shot face recognition with hybrid classifiers Y Wu, H Liu, Y Fu Proceedings of the IEEE international conference on computer vision …, 2017 | 41 | 2017 |
| Adaptive cascade deep convolutional neural networks for face alignment Y Dong, Y Wu Computer standards & interfaces 42, 105-112, 2015 | 38 | 2015 |
| Kinship classification through latent adaptive subspace Y Wu, Z Ding, H Liu, J Robinson, Y Fu 2018 13th IEEE international conference on automatic face & gesture …, 2018 | 28 | 2018 |
| Deep bidirectional cross-triplet embedding for online clothing shopping S Jiang, Y Wu, Y Fu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2018 | 20 | 2018 |
| Super resolution of the partial pixelated images with deep convolutional neural network H Mao, Y Wu, J Li, Y Fu Proceedings of the 24th ACM international conference on Multimedia, 322-326, 2016 | 16 | 2016 |
| Large-scale subspace clustering by independent distributed and parallel coding J Li, Z Tao, Y Wu, B Zhong, Y Fu IEEE Transactions on Cybernetics 52 (9), 9090-9100, 2021 | 13 | 2021 |
| Family in the wild (FIW): A large-scale kinship recognition database JP Robinson, M Shao, Y Wu, Y Fu arXiv preprint arXiv:1604.02182, 2016 | 13 | 2016 |
| GAN quality index (GQI) by GAN-induced classifier Y Ye, L Wang, Y Wu, Y Chen, Y Tian, Z Liu, Z Zhang | 12 | 2018 |
| Spatially constrained generative adversarial networks for conditional image generation S Jiang, H Liu, Y Wu, Y Fu arXiv preprint arXiv:1905.02320, 2019 | 9 | 2019 |
Yun Raymond FuNEU, COE Distinguished Professor; MAE, FNAI, FAAAS, FIEEE, FSPIE, FOSA, FIAPRVerified email at neu.edu
