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ORCIDQuan Tang 0001
Person information
- affiliation: South China University of Technology, Guangzhou, China
- unicode name: 唐泉
Other persons with the same name
- Quan Tang
- Quan Tang 0002 — State Grid Sichuan Economic Research Institute, Chengdu, China
- Quan Tang 0003 — Wuhan University of Technology, Wuhan, China
- Quan Tang 0004 — University of Memphis, Memphis, TN, USA
- Quan Tang 0005 — OPT Machine Vision Tech Co., Ltd, Dongguan, China
- Quan Tang 0006
![[0009-0008-3075-4758]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0008-3075-4758")
— China West Normal University, School of Computer Science, Nanchong, China - Quan Tang 0007 — Chengdu Jincheng College, School of Electronic Information, China
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Journal Articles
- 2025
[j10]Boyuan Zhu, Xi Chen, Quan Tang, C. L. Philip Chen, Fagui Liu:
EK-Net++: Real-time scene text detection with expand kernel distance and Epoch Adaptive Weight. Expert Syst. Appl. 267: 126159 (2025)- [j9]Quan Tang, Fagui Liu, Dengke Zhang, Jun Jiang, Xuhao Tang, C. L. Philip Chen:
Increase the sensitivity of moderate examples for semantic image segmentation. Image Vis. Comput. 154: 105357 (2025) - 2024
- [j8]Boyuan Zhu, Fagui Liu, Xi Chen, Quan Tang, C. L. Philip Chen:
ACP-Net: Asymmetric Center Positioning Network for Real-Time Text Detection. Knowl. Based Syst. 305: 112603 (2024) - 2023
- [j7]Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang:
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing. Comput. Commun. 200: 86-94 (2023) - 2022
- [j6]Jun Jiang, Fagui Liu, Yongheng Liu, Quan Tang, Bin Wang, Guoxiang Zhong, Weizheng Wang:
A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams. Comput. Commun. 194: 250-257 (2022) - [j5]Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham:
Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things. IEEE Trans. Green Commun. Netw. 6(3): 1316-1329 (2022) - [j4]Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang:
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation. IEEE Trans. Intell. Transp. Syst. 23(7): 7008-7016 (2022) - [j3]Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang, Boyuan Zhu, Xuhao Tang:
Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation. IEEE Trans. Intell. Transp. Syst. 23(10): 19224-19235 (2022) - 2021
- [j2]Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang:
Attention-guided chained context aggregation for semantic segmentation. Image Vis. Comput. 115: 104309 (2021) - 2018
- [j1]Fagui Liu, Dacheng Deng, Jun Jiang, Quan Tang:
Event-Driven Semantic Service Discovery Based on Word Embeddings. IEEE Access 6: 61030-61038 (2018)
Conference and Workshop Papers
- 2024
- [c6]Boyuan Zhu, Fagui Liu, Xi Chen, Quan Tang:
EK-Net: Real-Time Scene Text Detection with Expand Kernel Distance. ICASSP 2024: 6380-6384 - 2023
- [c5]Quan Tang, Bowen Zhang, Jiajun Liu, Fagui Liu, Yifan Liu:
Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation. ICCV 2023: 777-786 - [c4]Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin:
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. ICCV 2023: 821-831 - 2022
- [c3]Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang, Xuhao Tang:
Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation. ICANN (2) 2022: 1-13 - [c2]Yu Zhang, Fagui Liu, Quan Tang:
Utilize Spatial Prior in Ground Truth: Spatial-Enhanced Loss for Semantic Segmentation. ICANN (3) 2022: 312-321 - [c1]Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu:
SegViT: Semantic Segmentation with Plain Vision Transformers. NeurIPS 2022
Informal and Other Publications
- 2024
- [i7]Boyuan Zhu, Fagui Liu, Xi Chen, Quan Tang:
EK-Net: Real-time Scene Text Detection with Expand Kernel Distance. CoRR abs/2401.11704 (2024) - [i6]Dengke Zhang, Fagui Liu, Quan Tang:
CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic Segmentation. CoRR abs/2411.10086 (2024) - 2023
- [i5]Quan Tang, Bowen Zhang, Jiajun Liu, Fagui Liu, Yifan Liu:
Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation. CoRR abs/2308.01045 (2023) - [i4]Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang:
Category Feature Transformer for Semantic Segmentation. CoRR abs/2308.05581 (2023) - [i3]Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin:
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. CoRR abs/2308.12894 (2023) - 2022
- [i2]Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu:
SegViT: Semantic Segmentation with Plain Vision Transformers. CoRR abs/2210.05844 (2022) - 2020
- [i1]Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang:
Attention-guided Chained Context Aggregation for Semantic Segmentation. CoRR abs/2002.12041 (2020)
Coauthor Index
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