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 | 3174 | 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 | 1126 | 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 | 715 | 2019 |
Hypergraph convolution and hypergraph attention S Bai, F Zhang, PHS Torr Pattern Recognition 110, 107637, 2021 | 502 | 2021 |
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 | 488 | 2015 |
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 | 398 | 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 | 390 | 2018 |
Scalable person re-identification on supervised smoothed manifold S Bai, X Bai, Q Tian IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 383 | 2017 |
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 | 334 | 2016 |
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 | 214 | 2017 |
Deep learning representation using autoencoder for 3D shape retrieval Z Zhu, X Wang, S Bai, C Yao, X Bai Neurocomputing 204, 41-50, 2016 | 211 | 2016 |
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 | 205 | 2019 |
Is synthetic data from generative models ready for image recognition? R He, S Sun, X Yu, C Xue, W Zhang, P Torr, S Bai, X Qi arXiv preprint arXiv:2210.07574, 2022 | 182 | 2022 |
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 | 182* | 2019 |
End-to-end temporal action detection with transformer X Liu, Q Wang, Y Hu, X Tang, S Zhang, S Bai, X Bai IEEE Transactions on Image Processing 31, 5427-5441, 2022 | 175 | 2022 |
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 | 173 | 2020 |
Sparse contextual activation for efficient visual re-ranking S Bai, X Bai IEEE Transactions on Image Processing 25 (3), 1056-1069, 2016 | 172 | 2016 |
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 | 170 | 2019 |
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 | 170 | 2018 |
Dancetrack: Multi-object tracking in uniform appearance and diverse motion P Sun, J Cao, Y Jiang, Z Yuan, S Bai, K Kitani, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 167 | 2022 |