| A convolutional neural network cascade for face detection H Li, Z Lin, X Shen, J Brandt, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1906 | 2015 |
| Stacked cross attention for image-text matching KH Lee, X Chen, G Hua, H Hu, X He Proceedings of the European conference on computer vision (ECCV), 201-216, 2018 | 1714 | 2018 |
| Lq-nets: Learned quantization for highly accurate and compact deep neural networks D Zhang, J Yang, D Ye, G Hua Proceedings of the European conference on computer vision (ECCV), 365-382, 2018 | 1019 | 2018 |
| Gated context aggregation network for image dehazing and deraining D Chen, M He, Q Fan, J Liao, L Zhang, D Hou, L Yuan, G Hua 2019 IEEE winter conference on applications of computer vision (WACV), 1375-1383, 2019 | 992 | 2019 |
| Ordinal regression with multiple output cnn for age estimation Z Niu, M Zhou, L Wang, X Gao, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 881 | 2016 |
| CVAE-GAN: fine-grained image generation through asymmetric training J Bao, D Chen, F Wen, H Li, G Hua Proceedings of the IEEE international conference on computer vision, 2745-2754, 2017 | 817 | 2017 |
| Labeled faces in the wild: A survey E Learned-Miller, GB Huang, A RoyChowdhury, H Li, G Hua Advances in face detection and facial image analysis, 189-248, 2016 | 784 | 2016 |
| Stylebank: An explicit representation for neural image style transfer D Chen, L Yuan, J Liao, N Yu, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 641 | 2017 |
| Discriminative learning of local image descriptors M Brown, G Hua, S Winder IEEE transactions on pattern analysis and machine intelligence 33 (1), 43-57, 2010 | 640 | 2010 |
| Visual attribute transfer through deep image analogy J Liao, Y Yao, L Yuan, G Hua, SB Kang arXiv preprint arXiv:1705.01088, 2017 | 576 | 2017 |
| Neural aggregation network for video face recognition J Yang, P Ren, D Zhang, D Chen, F Wen, H Li, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 518 | 2017 |
| SGCN: Sparse graph convolution network for pedestrian trajectory prediction L Shi, L Wang, C Long, S Zhou, M Zhou, Z Niu, G Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 462 | 2021 |
| Learning discriminative reconstructions for unsupervised outlier removal Y Xia, X Cao, F Wen, G Hua, J Sun Proceedings of the IEEE international conference on computer vision, 1511-1519, 2015 | 416 | 2015 |
| A generic deep architecture for single image reflection removal and image smoothing Q Fan, J Yang, G Hua, B Chen, D Wipf Proceedings of the IEEE International Conference on Computer Vision, 3238-3247, 2017 | 411 | 2017 |
| Picking the best daisy S Winder, G Hua, M Brown 2009 IEEE conference on computer vision and pattern recognition, 178-185, 2009 | 400 | 2009 |
| Descriptive visual words and visual phrases for image applications S Zhang, Q Tian, G Hua, Q Huang, S Li Proceedings of the 17th ACM international conference on Multimedia, 75-84, 2009 | 380 | 2009 |
| How to train a compact binary neural network with high accuracy? W Tang, G Hua, L Wang Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 362 | 2017 |
| Coherent online video style transfer D Chen, J Liao, L Yuan, N Yu, G Hua Proceedings of the IEEE international conference on computer vision, 1105-1114, 2017 | 357 | 2017 |
| Towards open-set identity preserving face synthesis J Bao, D Chen, F Wen, H Li, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 339 | 2018 |
| Image tagging based upon cross domain context SJ Baker, A Kapoor, G Hua, D Lin US Patent 8,645,287, 2014 | 332 | 2014 |
Le WangXi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
