追蹤
Sibei Yang
Sibei Yang
Assistant Professor, ShanghaiTech University
在 shanghaitech.edu.cn 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Multi-evidence filtering and fusion for multi-label classification, object detection and semantic segmentation based on weakly supervised learning
W Ge, S Yang, Y Yu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1762018
Dynamic Graph Attention for Referring Expression Comprehension
S Yang, G Li, Y Yu
Proceedings of the IEEE International Conference on Computer Vision, 4644-4653, 2019
862019
Cross-Modal Relationship Inference for Grounding Referring Expressions
S Yang, G Li, Y Yu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
652019
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
X He, S Yang, G Li, H Li, H Chang, Y Yu
Proceedings of the AAAI Conference on Artificial Intelligence 33, 8417-8424, 2019
362019
Graph-Structured Referring Expression Reasoning in The Wild
S Yang, G Li, Y Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
342020
Relationship-Embedded Representation Learning for Grounding Referring Expressions
S Yang, G Li, Y Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
142020
Propagating Over Phrase Relations for One-Stage Visual Grounding
S Yang, G Li, Y Yu
European Conference on Computer Vision, 2020
122020
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
HY Zhou, C Lu, S Yang, X Han, Y Yu
arXiv preprint arXiv:2109.04379, 2021
102021
Bottom-Up Shift and Reasoning for Referring Image Segmentation
S Yang, M Xia, G Li, HY Zhou, Y Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
92021
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
HY Zhou, C Lu, S Yang, Y Yu
arXiv preprint arXiv:2108.05305, 2021
12021
Structured Attention Network for Referring Image Segmentation
L Lin, P Yan, X Xu, S Yang, K Zeng, G Li
IEEE Transactions on Multimedia, 2021
12021
系統目前無法執行作業,請稍後再試。
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