Articles avec mandats d'accès public - Song Bai - 柏松En savoir plus
Non disponibles : 2
Feature context learning for human parsing
T Huang, Y Xu, S Bai, Y Wang, X Bai
Science China Information Sciences 62, 1-14, 2019
Exigences : National Natural Science Foundation of China
Understanding and mitigating dimensional collapse in federated learning
Y Shi, J Liang, W Zhang, C Xue, VYF Tan, S Bai
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Exigences : National Natural Science Foundation of China
Disponibles quelque part : 69
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
Exigences : Chinese Academy of Sciences, National Natural Science Foundation of China
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
Exigences : US Department of Defense
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
Exigences : National Natural Science Foundation of China
Hypergraph convolution and hypergraph attention
S Bai, F Zhang, PHS Torr
Pattern Recognition 110, 107637, 2021
Exigences : UK Engineering and Physical Sciences Research Council
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
Exigences : National Natural Science Foundation of China
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
Exigences : National Natural Science Foundation of China
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
Exigences : US Department of Defense, National Natural Science Foundation of China
Scalable person re-identification on supervised smoothed manifold
S Bai, X Bai, Q Tian
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Exigences : US Department of Defense, National Natural Science Foundation of China
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
Exigences : US National Science Foundation, National Natural Science Foundation of China
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
Exigences : US National Science Foundation
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
Exigences : National Natural Science Foundation of China
Deep learning representation using autoencoder for 3D shape retrieval
Z Zhu, X Wang, S Bai, C Yao, X Bai
Neurocomputing 204, 41-50, 2016
Exigences : National Natural Science Foundation of China
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
Exigences : National Natural Science Foundation of China
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
Exigences : National Natural Science Foundation of China
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
Exigences : National Natural Science Foundation of China
Sparse contextual activation for efficient visual re-ranking
S Bai, X Bai
IEEE Transactions on Image Processing 25 (3), 1056-1069, 2016
Exigences : National Natural Science Foundation of China
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
Exigences : National Natural Science Foundation of China
Learning transferable adversarial examples via ghost networks
Y Li, S Bai, Y Zhou, C Xie, Z Zhang, A Yuille
Proceedings of the AAAI conference on artificial intelligence 34 (07), 11458 …, 2020
Exigences : US Department of Defense
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