| HCP: A Flexible CNN Framework for Multi-label Image Classification Y Wei, W Xia, M Lin, J Huang, B Ni, J Dong, Y Zhao, S Yan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 | 592* | 2015 |
| Ccnet: Criss-cross attention for semantic segmentation Z Huang, X Wang, Y Wei, L Huang, H Shi, W Liu, TS Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 357 | 2020 |
| 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 IEEE CVPR (oral), 2017 | 356 | 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, 2016 | 355 | 2016 |
| Perceptual generative adversarial networks for small object detection J Li, X Liang, Y Wei, T Xu, J Feng, S Yan IEEE CVPR, 1222-1230, 2017 | 337 | 2017 |
| Cross-Modal Retrieval With CNN Visual Features: A New Baseline Y Wei, Y Zhao, C Lu, S Wei, L Liu, Z Zhu, S Yan IEEE Transactions on Cybernetics, 2016 | 235 | 2016 |
| Adversarial Complementary Learning for Weakly Supervised Object Localization X Zhang, Y Wei, J Feng, Y Yang, TS Huang IEEE CVPR, 2018 | 202 | 2018 |
| 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 IEEE CVPR (spotlight), 2018 | 201 | 2018 |
| Proposal-free network for instance-level object segmentation X Liang, Y Wei, X Shen, J Yang, L Lin, S Yan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 192 | 2017 |
| Deep learning with s-shaped rectified linear activation units X Jin, C Xu, J Feng, Y Wei, J Xiong, S Yan AAAI, 2016 | 171 | 2016 |
| Horizontal pyramid matching for person re-identification Y Fu, Y Wei, Y Zhou, H Shi, G Huang, X Wang, Z Yao, T Huang AAAI 33, 8295-8302, 2019 | 142 | 2019 |
| Attentive contexts for object detection J Li, Y Wei, X Liang, J Dong, T Xu, J Feng, S Yan IEEE Transactions on Multimedia 19 (5), 944-954, 2016 | 139 | 2016 |
| Deep Self-Taught Learning for Weakly Supervised Object Localization Z Jie, Y Wei, X Jin, J Feng, W Liu IEEE CVPR (spotlight), 2017 | 133 | 2017 |
| Contrastive Adaptation Network for Single-and Multi-Source Domain Adaptation G Kang, L Jiang, Y Wei, Y Yang, AG Hauptmann IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 131* | 2020 |
| Revisiting RCNN: On Awakening the Classification Power of Faster RCNN B Cheng, Y Wei, H Shi, R Feris, J Xiong, TS Huang ECCV, 2018 | 102 | 2018 |
| Towards computational baby learning: A weakly-supervised approach for object detection X Liang, S Liu, Y Wei, L Liu, L Lin, S Yan IEEE ICCV, 999-1007, 2015 | 100 | 2015 |
| Self-similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification Y Fu, Y Wei, G Wang, Y Zhou, H Shi, TS Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 92 | 2019 |
| TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection Y Wei, Z Shen, B Cheng, H Shi, J Xiong, J Feng, T Huang ECCV, 2018 | 86 | 2018 |
| Learning to segment with image-level annotations Y Wei, X Liang, Y Chen, Z Jie, Y Xiao, Y Zhao, S Yan Pattern Recognition 59, 234-244, 2016 | 84 | 2016 |
| Self-produced guidance for weakly-supervised object localization X Zhang, Y Wei, G Kang, Y Yang, T Huang ECCV, 2018 | 78 | 2018 |
Jiashi FengNational University of SingaporeVerified email at nus.edu.sg
