Joint Residual Learning for Underwater Image Enhancement. - Minjun Hou; Risheng Liu; Xin Fan 001; Zhongxuan Luo (ICIP, 2018)

Compounded Layer-Prior Unrolling: A Unified Transmission-Based Image Enhancement Framework. - Risheng Liu; Minjun Hou; Jinyuan Liu 001; Xin Fan 001; Zhongxuan Luo (ICME, 2019)

Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions. - Risheng Liu; Minjun Hou; Xin Fan 001; Zhongxuan Luo (CoRR, 2019)

Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond. - Risheng Liu; Xin Fan 001; Minjun Hou; Zhiying Jiang; Zhongxuan Luo; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Fast example searching for input-adaptive data-driven dehazing with Gaussian process regression. - Xin Fan 001; Xianxuan Tang; Minjun Hou; Zhongxuan Luo (Vis. Comput., 2019)

Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light. - Risheng Liu; Xin Fan 001; Ming Zhu 001; Minjun Hou; Zhongxuan Luo (IEEE Trans. Circuits Syst. Video Technol., 2020)

Dual Neural Networks Coupling Data Regression With Explicit Priors for Monocular 3D Face Reconstruction. - Xin Fan 001; Shichao Cheng; Kang Huyan; Minjun Hou; Risheng Liu; Zhongxuan Luo (IEEE Trans. Multim., 2021)