Erkang Chen

According to our database, Erkang Chen authored at least 30 papers between 2007 and 2024.

Collaborative distances:

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

2024

Degradation-adaptive neural network for jointly single image dehazing and desnowing.

Erkang Chen, Sixiang Chen, Tian Ye, Yun Liu

Frontiers Comput. Sci., April, 2024

2023

Five A⁺ Network: You Only Need 9K Parameters for Underwater Image Enhancement.

Jingxia Jiang, Tian Ye, Jinbin Bai, Sixiang Chen, Wenhao Chai, Shi Jun, Yun Liu, Erkang Chen

CoRR, 2023

Sequential Affinity Learning for Video Restoration.

Tian Ye, Sixiang Chen, Yun Liu, Wenhao Chai, Jinbin Bai, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Erkang Chen, Chenghao Xue

Proceedings of the 31st ACM International Conference on Multimedia, 2023

NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer.

Yun Liu, Zhongsheng Yan, Sixiang Chen, Tian Ye, Wenqi Ren, Erkang Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Uncertainty-Driven Dynamic Degradation Perceiving and Background Modeling for Efficient Single Image Desnowing.

Sixiang Chen, Tian Ye, Chenghao Xue, Haoyu Chen, Yun Liu, Erkang Chen, Lei Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CPLFormer: Cross-scale Prototype Learning Transformer for Image Snow Removal.

Sixiang Chen, Tian Ye, Yun Liu, Jinbin Bai, Haoyu Chen, Yunlong Lin, Jun Shi, Erkang Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

RSFDM-Net: Real-Time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement.

Jingxia Jiang, Jinbin Bai, Yun Liu, Junjie Yin, Sixiang Chen, Tian Ye, Erkang Chen

Proceedings of the IEEE International Conference on Image Processing, 2023

Adverse Weather Removal with Codebook Priors.

Tian Ye, Sixiang Chen, Jinbin Bai, Jun Shi, Chenghao Xue, Jingxia Jiang, Junjie Yin, Erkang Chen, Yun Liu

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

Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks.

Sixiang Chen, Tian Ye, Jinbin Bai, Erkang Chen, Jun Shi, Lei Zhu

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

DEHRFormer: Real-Time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes.

Sixiang Chen, Tian Ye, Jun Shi, Yun Liu, Jingxia Jiang, Erkang Chen, Peng Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing.

Sixiang Chen, Tian Ye, Yun Liu, Taodong Liao, Jingxia Jiang, Erkang Chen, Peng Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

Five A+ Network: You Only Need 9K Parameters for Underwater Image Enhancement.

Jingxia Jiang, Tian Ye, Sixiang Chen, Erkang Chen, Yun Liu, Shi Jun, Jinbin Bai, Wenhao Chai

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Robust back-scattered light estimation for underwater image enhancement with polarization.

Sixiang Chen, Erkang Chen, Tian Ye, Chenghao Xue

Displays, 2022

Dual-former: Hybrid Self-attention Transformer for Efficient Image Restoration.

Sixiang Chen, Tian Ye, Yun Liu, Erkang Chen

CoRR, 2022

SnowFormer: Scale-aware Transformer via Context Interaction for Single Image Desnowing.

Sixiang Chen, Tian Ye, Yun Liu, Erkang Chen, Jun Shi, Jingchun Zhou

CoRR, 2022

MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing.

Sixiang Chen, Tian Ye, Yun Liu, Taodong Liao, Yi Ye, Erkang Chen

CoRR, 2022

Towards Real-time High-Definition Image Snow Removal: Efficient Pyramid Network with Asymmetrical Encoder-decoder Architecture.

Tian Ye, Sixiang Chen, Yun Liu, Yi Ye, Erkang Chen

CoRR, 2022

Towards Efficient Single Image Dehazing and Desnowing.

Tian Ye, Sixiang Chen, Yun Liu, Erkang Chen, Yuche Li

CoRR, 2022

Mutual Learning for Domain Adaptation: Self-distillation Image Dehazing Network with Sample-cycle.

Tian Ye, Yun Liu, Yunchen Zhang, Sixiang Chen, Erkang Chen

CoRR, 2022

Perceiving and Modeling Density for Image Dehazing.

Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu, Sixiang Chen, Erkang Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

Underwater Light Field Retention : Neural Rendering for Underwater Imaging.

Tian Ye, Sixiang Chen, Yun Liu, Yi Ye, Erkang Chen, Yuche Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Towards Real-Time High-Definition Image Snow Removal: Efficient Pyramid Network with Asymmetrical Encoder-Decoder Architecture.

Tian Ye, Sixiang Chen, Yun Liu, Yi Ye, Jinbin Bai, Erkang Chen

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Separating Chinese Character from Noisy Background Using GAN.

Bin Huang, Jiaqi Lin, Jinming Liu, Jie Chen, Jiemin Zhang, Yendo Hu, Erkang Chen, Jingwen Yan

Wirel. Commun. Mob. Comput., 2021

Perceiving and Modeling Density is All You Need for Image Dehazing.

Tian Ye, Mingchao Jiang, Yunchen Zhang, Liang Chen, ErKang Chen, Pen Chen, Zhiyong Lu

CoRR, 2021

Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing.

Tian Ye, ErKang Chen, Xinrui Huang, Peng Chen

CoRR, 2021

2013

Quaternion based optical flow estimation for robust object tracking.

Erkang Chen, Yi Xu, Xiaokang Yang, Wenjun Zhang

Digit. Signal Process., 2013

2009

Shanghai Jiao Tong University participation in high-level feature extraction and surveillance event detection at TRECVID 2009.

Xiaokang Yang, Yi Xu, Rui Zhang, Erkang Chen, Qing Yan, Bo Xiao, Zhou Yu, Ning Li, Zuo Huang, Cong Zhang, Xiaolin Chen, Anwen Liu, Zhenfei Chu, Kai Guo, Jun Huang

Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

2008

Shanghai Jiao Tong University participation in high-level feature extraction, automatic search and surveillance event detectionat TRECVID 2008.

Xiaokang Yang, Rui Zhang, Yi Xu, Anwen Liu, Jiemin Liu, Zheng Lu, Xiaoling Chen, Erkang Chen, Qing Yan, Zhaowen Wang, Yanlan Song, Xiaojie Sheng, Bo Xiao, Zhou Yu, Zhenfei Chu, Hang Su, Jun Huang, Li Song

Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

Learning object classes from image thumbnails through deep neural networks.

Erkang Chen, Xiaokang Yang, Hongyuan Zha, Rui Zhang, Wenjun Zhang

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

The Wyner-Ziv Rate-Distortion Function of Multivariate Gaussian Sources and Its Application in Distributed Video Coding.

Peng Wang, Jia Wang, Songyu Yu, Erkang Chen, Xiaokang Yang, Xiaodong Wang

Proceedings of the 2007 Data Compression Conference (DCC 2007), 2007