| Return of frustratingly easy domain adaptation B Sun, J Feng, K Saenko Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 377 | 2016 |
| Dual path networks Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng Advances in Neural Information Processing Systems, 4467-4475, 2017 | 251 | 2017 |
| Scale-aware Fast R-CNN for Pedestrian Detection J Li, X Liang, SM Shen, T Xu, J Feng, S Yan https://arxiv.org/abs/1510.08160, 2016 | 248 | 2016 |
| End-to-end comparative attention networks for person re-identification H Liu, J Feng, M Qi, J Jiang, S Yan IEEE Transactions on Image Processing 26 (7), 3492-3506, 2017 | 231 | 2017 |
| Hi, magic closet, tell me what to wear! S Liu, J Feng, Z Song, T Zhang, H Lu, C Xu, S Yan Proceedings of the 20th ACM international conference on Multimedia, 619-628, 2012 | 229 | 2012 |
| Natural language object retrieval R Hu, H Xu, M Rohrbach, J Feng, K Saenko, T Darrell Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 222 | 2016 |
| Online robust PCA via stochastic optimization J Feng, H Xu, S Yan Advances in Neural Information Processing Systems, 404-412, 2013 | 196 | 2013 |
| Stc: A simple to complex framework for weakly-supervised semantic segmentation Y Wei, X Liang, Y Chen, X Shen, MM Cheng, J Feng, Y Zhao, S Yan IEEE transactions on pattern analysis and machine intelligence 39 (11), 2314 …, 2016 | 181 | 2016 |
| Geometric ℓp-norm feature pooling for image classification J Feng, B Ni, Q Tian, S Yan CVPR 2011, 2609-2704, 2011 | 173 | 2011 |
| Tensor robust principal component analysis: Exact recovery of corrupted low-rank tensors via convex optimization C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 159 | 2016 |
| Deep joint rain detection and removal from a single image W Yang, RT Tan, J Feng, J Liu, Z Guo, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 155* | 2017 |
| Object region mining with adversarial erasing: A simple classification to semantic segmentation approach Y Wei, J Feng, X Liang, MM Cheng, Y Zhao, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 149 | 2017 |
| Perceptual generative adversarial networks for small object detection J Li, X Liang, Y Wei, T Xu, J Feng, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 145 | 2017 |
| Semantic object parsing with graph lstm X Liang, X Shen, J Feng, L Lin, S Yan European Conference on Computer Vision, 125-143, 2016 | 141 | 2016 |
| Correlation adaptive subspace segmentation by trace lasso C Lu, J Feng, Z Lin, S Yan Proceedings of the IEEE International Conference on Computer Vision, 1345-1352, 2013 | 140 | 2013 |
| Robust subspace segmentation with block-diagonal prior J Feng, Z Lin, H Xu, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 129 | 2014 |
| Fashion parsing with weak color-category labels S Liu, J Feng, C Domokos, H Xu, J Huang, Z Hu, S Yan IEEE Transactions on Multimedia 16 (1), 253-265, 2013 | 125 | 2013 |
| Diversified visual attention networks for fine-grained object classification B Zhao, X Wu, J Feng, Q Peng, S Yan IEEE Transactions on Multimedia 19 (6), 1245-1256, 2017 | 121 | 2017 |
| Robust facial landmark detection via recurrent attentive-refinement networks S Xiao, J Feng, J Xing, H Lai, S Yan, A Kassim European conference on computer vision, 57-72, 2016 | 110 | 2016 |
| Deep learning with s-shaped rectified linear activation units X Jin, C Xu, J Feng, Y Wei, J Xiong, S Yan Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 110 | 2016 |
Shuicheng Yan, 颜水成Yitu Tech, CTO; National University of SingaporeVerified email at nus.edu.sg