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Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement


Dec 10, 2020
Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo


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Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision


Dec 10, 2020
Risheng Liu, Zhu Liu, Pan Mu, Zhouchen Lin, Xin Fan, Zhongxuan Luo

* 15 pages 

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A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration


Apr 30, 2020
Risheng Liu, Zi Li, Yuxi Zhang, Chenying Zhao, Hao Huang, Zhongxuan Luo, Xin Fan


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Converged Deep Framework Assembling Principled Modules for CS-MRI


Oct 29, 2019
Risheng Liu, Yuxi Zhang, Shichao Cheng, Zhongxuan Luo, Xin Fan


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Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling


Oct 18, 2019
Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo

* 11 pages 

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Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation


Jul 17, 2019
Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo

* Submitted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Project page: http://dutmedia.org/HPNDP/ 

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Mode Collapse and Regularity of Optimal Transportation Maps


Feb 08, 2019
Na lei, Yang Guo, Dongsheng An, Xin Qi, Zhongxuan Luo, Shing-Tung Yau, Xianfeng Gu


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Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions


Jan 15, 2019
Risheng Liu, Minjun Hou, Xin Fan, Zhongxuan Luo

* arXiv admin note: text overlap with arXiv:1712.04143 by other authors 

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A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI


Nov 13, 2018
Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo


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On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems


Aug 16, 2018
Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo


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User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks


Aug 10, 2018
Yuanzheng Ci, Xinzhu Ma, Zhihui Wang, Haojie Li, Zhongxuan Luo

* Accepted for publication at the 2018 ACM Multimedia Conference (MM '18) 

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Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond


Jul 31, 2018
Risheng Liu, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang


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Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond


Jul 31, 2018
Risheng Liu, Yi He, Shichao Cheng, Xin Fan, Zhongxuan Luo


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A Single Shot Text Detector with Scale-adaptive Anchors


Jul 05, 2018
Qi Yuan, Bingwang Zhang, Haojie Li, Zhihui Wang, Zhongxuan Luo

* 8 pages, 6figures 

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Geometric Understanding of Deep Learning


May 31, 2018
Na Lei, Zhongxuan Luo, Shing-Tung Yau, David Xianfeng Gu


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Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization


Apr 28, 2018
Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo


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Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework


Dec 15, 2017
Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo


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Self-Reinforced Cascaded Regression for Face Alignment


Nov 23, 2017
Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo

* 8 pages, 11 figures, AAAI 18 

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A Fast Ellipse Detector Using Projective Invariant Pruning


Aug 26, 2016
Qi Jia, Xin Fan, Zhongxuan Luo, Lianbo Song, Tie Qiu

* 14 pages, 34 figures, journal 

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