| Pyramid scene parsing network H Zhao, J Shi, X Qi, X Wang, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 3775 | 2017 |
| Hierarchical saliency detection Q Yan, L Xu, J Shi, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 1301 | 2013 |
| Path aggregation network for instance segmentation S Liu, L Qi, H Qin, J Shi, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 616 | 2018 |
| Context encoding for semantic segmentation H Zhang, K Dana, J Shi, Z Zhang, X Wang, A Tyagi, A Agrawal Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 486 | 2018 |
| Icnet for real-time semantic segmentation on high-resolution images H Zhao, X Qi, X Shen, J Shi, J Jia Proceedings of the European Conference on Computer Vision (ECCV), 405-420, 2018 | 485 | 2018 |
| Abnormal event detection at 150 fps in matlab C Lu, J Shi, J Jia Proceedings of the IEEE international conference on computer vision, 2720-2727, 2013 | 464 | 2013 |
| Geonet: Unsupervised learning of dense depth, optical flow and camera pose Z Yin, J Shi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 435 | 2018 |
| Understanding and diagnosing visual tracking systems N Wang, J Shi, DY Yeung, J Jia Proceedings of the IEEE international conference on computer vision, 3101-3109, 2015 | 320 | 2015 |
| Hierarchical image saliency detection on extended CSSD J Shi, Q Yan, L Xu, J Jia IEEE transactions on pattern analysis and machine intelligence 38 (4), 717-729, 2015 | 302 | 2015 |
| Mmdetection: Open mmlab detection toolbox and benchmark K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ... arXiv preprint arXiv:1906.07155, 2019 | 296 | 2019 |
| Psanet: Point-wise spatial attention network for scene parsing H Zhao, Y Zhang, S Liu, J Shi, C Change Loy, D Lin, J Jia Proceedings of the European Conference on Computer Vision (ECCV), 267-283, 2018 | 271 | 2018 |
| Revisiting batch normalization for practical domain adaptation Y Li, N Wang, J Shi, J Liu, X Hou arXiv preprint arXiv:1603.04779, 2016 | 243 | 2016 |
| Hybrid task cascade for instance segmentation K Chen, J Pang, J Wang, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Shi, ... Proceedings of the IEEE conference on computer vision and pattern …, 2019 | 240 | 2019 |
| Libra r-cnn: Towards balanced learning for object detection J Pang, K Chen, J Shi, H Feng, W Ouyang, D Lin Proceedings of the IEEE conference on computer vision and pattern …, 2019 | 207 | 2019 |
| Spatial as deep: Spatial cnn for traffic scene understanding X Pan, J Shi, P Luo, X Wang, X Tang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 189 | 2018 |
| Discriminative blur detection features J Shi, L Xu, J Jia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 171 | 2014 |
| Online Robust Dictionary Learning C Lu, J Shi, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, 2013 | 136 | 2013 |
| Segstereo: Exploiting semantic information for disparity estimation G Yang, H Zhao, J Shi, Z Deng, J Jia Proceedings of the European Conference on Computer Vision (ECCV), 636-651, 2018 | 131 | 2018 |
| Adaptive batch normalization for practical domain adaptation Y Li, N Wang, J Shi, X Hou, J Liu Pattern Recognition 80, 109-117, 2018 | 128 | 2018 |
| Just noticeable defocus blur detection and estimation J Shi, L Xu, J Jia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 123 | 2015 |
Jiaya JiaProfessor, CUHKVerified email at cse.cuhk.edu.hk
