| Return of frustratingly easy domain adaptation B Sun, J Feng, K Saenko Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 987 | 2016 |
| Dual path networks Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng arXiv preprint arXiv:1707.01629, 2017 | 602 | 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 | 580 | 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 | 484 | 2017 |
| 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 | 481 | 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 | 473 | 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 | 427 | 2017 |
| 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 | 423 | 2016 |
| 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 | 421 | 2016 |
| 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 | 333 | 2016 |
| A simple pooling-based design for real-time salient object detection JJ Liu, Q Hou, MM Cheng, J Feng, J Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 306 | 2019 |
| Revisiting dilated convolution: A simple approach for weakly-and semi-supervised semantic segmentation Y Wei, H Xiao, H Shi, Z Jie, J Feng, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 298 | 2018 |
| 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 | 292 | 2012 |
| Adversarial complementary learning for weakly supervised object localization X Zhang, Y Wei, J Feng, Y Yang, TS Huang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 290 | 2018 |
| 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 | 290 | 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 | 284 | 2016 |
| Online robust PCA via stochastic optimization J Feng, H Xu, S Yan Advances in neural information processing systems 26, 404-412, 2013 | 269 | 2013 |
| Tensor robust principal component analysis with a new tensor nuclear norm C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan IEEE transactions on pattern analysis and machine intelligence 42 (4), 925-938, 2019 | 252 | 2019 |
| Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution Y Chen, H Fan, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 248 | 2019 |
| -Nets: Double Attention Networks Y Chen, Y Kalantidis, J Li, S Yan, J Feng arXiv preprint arXiv:1810.11579, 2018 | 247 | 2018 |
Shuicheng Yan, Fellow of ACM, SAEn...Sea AI Lab, Singapore; National University of SingaporeVerified email at sea.com
