| 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 | 5637 | 2017 |
| Hierarchical saliency detection Q Yan, L Xu, J Shi, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 1487 | 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 | 1363 | 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 | 729 | 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 | 726 | 2018 |
| 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 | 669 | 2019 |
| 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 | 645 | 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 | 638 | 2018 |
| 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/CVF Conference on Computer Vision and Pattern …, 2019 | 495 | 2019 |
| Psanet: Point-wise spatial attention network for scene parsing H Zhao, Y Zhang, S Liu, J Shi, CC Loy, D Lin, J Jia Proceedings of the European Conference on Computer Vision (ECCV), 267-283, 2018 | 466 | 2018 |
| 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/CVF Conference on Computer Vision and Pattern …, 2019 | 456 | 2019 |
| 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 | 365 | 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 | 354 | 2015 |
| Revisiting batch normalization for practical domain adaptation Y Li, N Wang, J Shi, J Liu, X Hou arXiv preprint arXiv:1603.04779, 2016 | 344 | 2016 |
| Spatial as deep: Spatial cnn for traffic scene understanding X Pan, J Shi, P Luo, X Wang, X Tang Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 319 | 2018 |
| Pv-rcnn: Point-voxel feature set abstraction for 3d object detection S Shi, C Guo, L Jiang, Z Wang, J Shi, X Wang, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 263 | 2020 |
| Two at once: Enhancing learning and generalization capacities via ibn-net X Pan, P Luo, J Shi, X Tang Proceedings of the European Conference on Computer Vision (ECCV), 464-479, 2018 | 226 | 2018 |
| Discriminative blur detection features J Shi, L Xu, J Jia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 209 | 2014 |
| Adaptive batch normalization for practical domain adaptation Y Li, N Wang, J Shi, X Hou, J Liu Pattern Recognition 80, 109-117, 2018 | 206 | 2018 |
| From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network S Shi, Z Wang, J Shi, X Wang, H Li IEEE transactions on pattern analysis and machine intelligence, 2020 | 195* | 2020 |
Jiaya JiaProfessor, CUHKVerified email at cse.cuhk.edu.hk
