| Centernet: Keypoint triplets for object detection K Duan, S Bai, L Xie, H Qi, Q Huang, Q Tian Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 2087 | 2019 |
| Improving transferability of adversarial examples with input diversity C Xie, Z Zhang, Y Zhou, S Bai, J Wang, Z Ren, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 720 | 2019 |
| Asymmetric non-local neural networks for semantic segmentation Z Zhu, M Xu, S Bai, T Huang, X Bai Proceedings of the IEEE/CVF International Conference on Computer Vision, 593-602, 2019 | 534 | 2019 |
| Deeppano: Deep panoramic representation for 3-d shape recognition B Shi, S Bai, Z Zhou, X Bai IEEE Signal Processing Letters 22 (12), 2339-2343, 2015 | 437 | 2015 |
| Scalable person re-identification on supervised smoothed manifold S Bai, X Bai, Q Tian IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 357 | 2017 |
| Triplet-Center Loss for Multi-View 3D Object Retrieval X He, Y Zhou, Z Zhou, S Bai, X Bai IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 322 | 2018 |
| PCL: Proposal Cluster Learning for Weakly Supervised Object Detection P Tang, X Wang, S Bai, W Shen, X Bai, W Liu, A Yuille IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 312 | 2018 |
| Gift: A real-time and scalable 3d shape search engine S Bai, X Bai, Z Zhou, Z Zhang, L Jan Latecki IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5023-5032, 2016 | 300 | 2016 |
| Hypergraph convolution and hypergraph attention S Bai, F Zhang, PHS Torr Pattern Recognition 110, 107637, 2021 | 275 | 2021 |
| Deep learning representation using autoencoder for 3D shape retrieval Z Zhu, X Wang, S Bai, C Yao, X Bai Neurocomputing 204, 41-50, 2016 | 193 | 2016 |
| Sparse contextual activation for efficient visual re-ranking S Bai, X Bai IEEE Transactions on Image Processing 25 (3), 1056-1069, 2016 | 162 | 2016 |
| Hard-Aware Point-to-Set Deep Metric for Person Re-identification R Yu, Z Dou, S Bai, Z Zhang, Y Xu, X Bai European Conference on Computer Vision (ECCV), 2018 | 153 | 2018 |
| Semi-supervised 3D abdominal multi-organ segmentation via deep multi-planar co-training Y Zhou, Y Wang, P Tang, S Bai, W Shen, E Fishman, A Yuille 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 121-140, 2019 | 152* | 2019 |
| Prior-aware neural network for partially-supervised multi-organ segmentation Y Zhou, Z Li, S Bai, C Wang, X Chen, M Han, E Fishman, AL Yuille Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 149 | 2019 |
| Symmetry-constrained rectification network for scene text recognition M Yang, Y Guan, M Liao, X He, K Bian, S Bai, C Yao, X Bai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 129 | 2019 |
| Xinggan for person image generation H Tang, S Bai, L Zhang, PHS Torr, N Sebe Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 124 | 2020 |
| SHREC’17 Track Large-Scale 3D Shape Retrieval from ShapeNet Core55 M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ... Proceedings of the eurographics workshop on 3D object retrieval, 2017 | 123 | 2017 |
| Shrec16 track: largescale 3d shape retrieval from shapenet core55 M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ... Proceedings of the eurographics workshop on 3D object retrieval 10, 2016 | 123 | 2016 |
| Learn to scale: Generating multipolar normalized density maps for crowd counting C Xu, K Qiu, J Fu, S Bai, Y Xu, X Bai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 118 | 2019 |
| Predicting COVID-19 malignant progression with AI techniques X Bai, C Fang, Y Zhou, S Bai, Z Liu, Q Chen, Y Xu, T Xia, S Gong, X Xie, ... MedRxiv, 2020.03. 20.20037325, 2020 | 113 | 2020 |
Xiang BaiHuazhong University of Science and Technology (HUST)Verified email at hust.edu.cn
