Rihan Zhang

According to our database, Rihan Zhang authored at least 9 papers between 2025 and 2026.

Collaborative distances:

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

2026

Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration.

Fengyang Xiao, Peng Hu, Lei Xu, XingE Guo, Guanyi Qin, Yuqi Shen, Chengyu Fang, Rihan Zhang, Chunming He, Sina Farsiu

CoRR, March, 2026

Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion.

Chunming He, Rihan Zhang, Fengyang Xiao, Dingming Zhang, Zhiwen Cao, Sina Farsiu

CoRR, February, 2026

2025

Nested Unfolding Network for Real-World Concealed Object Segmentation.

Chunming He, Rihan Zhang, Dingming Zhang, Fengyang Xiao, Deng-Ping Fan, Sina Farsiu

CoRR, November, 2025

UnfoldLDM: Deep Unfolding-based Blind Image Restoration with Latent Diffusion Priors.

Chunming He, Rihan Zhang, Zheng Chen, Bowen Yang, Chengyu Fang, Yunlong Lin, Fengyang Xiao, Sina Farsiu

CoRR, November, 2025

SCALER: SAM-Enhanced Collaborative Learning for Label-Deficient Concealed Object Segmentation.

Chunming He, Rihan Zhang, Longxiang Tang, Ziyun Yang, Kai Li, Deng-Ping Fan, Sina Farsiu

CoRR, November, 2025

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement.

Chunming He, Fengyang Xiao, Rihan Zhang, Chengyu Fang, Deng-Ping Fan, Sina Farsiu

CoRR, August, 2025

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration.

Chunming He, Rihan Zhang, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Sina Farsiu

CoRR, May, 2025

RUN: Reversible Unfolding Network for Concealed Object Segmentation.

Chunming He, Rihan Zhang, Fengyang Xiao, Chenyu Fang, Longxiang Tang, Yulun Zhang, Linghe Kong, Deng-Ping Fan, Kai Li, Sina Farsiu

CoRR, January, 2025

RUN: Reversible Unfolding Network for Concealed Object Segmentation.

Chunming He, Rihan Zhang, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Linghe Kong, Deng-Ping Fan, Kai Li, Sina Farsiu

Proceedings of the Forty-second International Conference on Machine Learning, 2025