Quan Tang

According to our database, Quan Tang authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EK-Net: Real-Time Scene Text Detection with Expand Kernel Distance.

Boyuan Zhu, Fagui Liu, Xi Chen, Quan Tang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing.

Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang

Comput. Commun., February, 2023

Category Feature Transformer for Semantic Segmentation.

Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang

CoRR, 2023

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings.

Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation.

Quan Tang, Bowen Zhang, Jiajun Liu, Fagui Liu, Yifan Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation.

Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang, Boyuan Zhu, Xuhao Tang

IEEE Trans. Intell. Transp. Syst., 2022

EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation.

Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang

IEEE Trans. Intell. Transp. Syst., 2022

Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things.

Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham

IEEE Trans. Green Commun. Netw., 2022

A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams.

Jun Jiang, Fagui Liu, Yongheng Liu, Quan Tang, Bin Wang, Guoxiang Zhong, Weizheng Wang

Comput. Commun., 2022

SegViT: Semantic Segmentation with Plain Vision Transformers.

Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Utilize Spatial Prior in Ground Truth: Spatial-Enhanced Loss for Semantic Segmentation.

Yu Zhang, Fagui Liu, Quan Tang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation.

Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang, Xuhao Tang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Attention-guided chained context aggregation for semantic segmentation.

Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang

Image Vis. Comput., 2021

2020

Attention-guided Chained Context Aggregation for Semantic Segmentation.

Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang

CoRR, 2020

2018

Event-Driven Semantic Service Discovery Based on Word Embeddings.

Fagui Liu, Dacheng Deng, Jun Jiang, Quan Tang

IEEE Access, 2018