| 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 | 163 | 2018 |
| Deep self-taught learning for weakly supervised object localization Z Jie, Y Wei, X Jin, J Feng, W Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 114 | 2017 |
| Multi-view image generation from a single-view B Zhao, X Wu, ZQ Cheng, H Liu, Z Jie, J Feng arXiv preprint arXiv:1704.04886, 2017 | 112 | 2017 |
| Video-based person re-identification with accumulative motion context H Liu, Z Jie, K Jayashree, M Qi, J Jiang, S Yan, J Feng IEEE transactions on circuits and systems for video technology 28 (10), 2788 …, 2017 | 110 | 2017 |
| Tree-structured reinforcement learning for sequential object localization Z Jie, X Liang, J Feng, X Jin, W Lu, S Yan Advances in Neural Information Processing Systems, 127-135, 2016 | 80 | 2016 |
| Neural person search machines H Liu, J Feng, Z Jie, K Jayashree, B Zhao, M Qi, J Jiang, S Yan Proceedings of the IEEE International Conference on Computer Vision, 493-501, 2017 | 75 | 2017 |
| 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 | 75 | 2016 |
| Video scene parsing with predictive feature learning X Jin, X Li, H Xiao, X Shen, Z Lin, J Yang, Y Chen, J Dong, L Liu, Z Jie, ... Proceedings of the IEEE International Conference on Computer Vision, 5580-5588, 2017 | 69 | 2017 |
| Temporally grounding natural sentence in video J Chen, X Chen, L Ma, Z Jie, TS Chua Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 68 | 2018 |
| A Sufficient Condition for Convergences of Adam and RMSProp F Zou, L Shen, Z Jie, W Zhang, W Liu arXiv preprint arXiv:1811.09358, 2018 | 65 | 2018 |
| Reversible recursive instance-level object segmentation X Liang, Y Wei, X Shen, Z Jie, J Feng, L Lin, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 58 | 2016 |
| Joint task-recursive learning for semantic segmentation and depth estimation Z Zhang, Z Cui, C Xu, Z Jie, X Li, J Yang Proceedings of the European Conference on Computer Vision (ECCV), 235-251, 2018 | 46 | 2018 |
| Predicting scene parsing and motion dynamics in the future X Jin, H Xiao, X Shen, J Yang, Z Lin, Y Chen, Z Jie, J Feng, S Yan Advances in Neural Information Processing Systems, 6915-6924, 2017 | 45 | 2017 |
| Modular generative adversarial networks B Zhao, B Chang, Z Jie, L Sigal Proceedings of the European conference on computer vision (ECCV), 150-165, 2018 | 42 | 2018 |
| Policy optimization with demonstrations B Kang, Z Jie, J Feng International Conference on Machine Learning, 2469-2478, 2018 | 41 | 2018 |
| Left-right comparative recurrent model for stereo matching Z Jie, P Wang, Y Ling, B Zhao, Y Wei, J Feng, W Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 37 | 2018 |
| FoveaNet: Perspective-aware Urban Scene Parsing JF Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe ... ICCV, 2017 | 33* | 2017 |
| Localizing natural language in videos J Chen, L Ma, X Chen, Z Jie, J Luo Proceedings of the AAAI Conference on Artificial Intelligence 33, 8175-8182, 2019 | 29 | 2019 |
| Multi-path feedback recurrent neural network for scene parsing X Jin, Y Chen, J Feng, Z Jie, S Yan arXiv preprint arXiv:1608.07706, 2016 | 27 | 2016 |
| Weighted AdaGrad with Unified Momentum F Zou, L Shen, Z Jie, J Sun, W Liu arXiv preprint arXiv:1808.03408, 2018 | 25* | 2018 |
Jiashi FengNational University of SingaporeVerified email at nus.edu.sg
