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A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization


Feb 16, 2021
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

* 16 pages 

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Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond


Jan 27, 2021
Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin

* 20 pages 

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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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BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning


Sep 28, 2020
Yaohua Liu, Risheng Liu

* six pages 

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A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton


Jul 02, 2020
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

* Accepted at ICML 2020 

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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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On the Convergence of ADMM with Task Adaption and Beyond


Sep 24, 2019
Risheng Liu, Pan Mu, Jin Zhang


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Semi-supervised Skin Detection by Network with Mutual Guidance


Aug 06, 2019
Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang

* Accepted by ICCV 2019 

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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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Bilevel Integrative Optimization for Ill-posed Inverse Problems


Jul 06, 2019
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang


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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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Exploiting Local Feature Patterns for Unsupervised Domain Adaptation


Nov 18, 2018
Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan

* AAAI-2019 accepted 

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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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Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization


Nov 05, 2018
Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song


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Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement


Oct 09, 2018
Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang

* This paper has been accepted in the IEEE Transactions on Image Processing 

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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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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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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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An Optimization Framework with Flexible Inexact Inner Iterations for Nonconvex and Nonsmooth Programming


Jun 30, 2017
Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su


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Sparse Coding and Counting for Robust Visual Tracking


May 28, 2016
Risheng Liu, Jing Wang, Yiyang Wang, Zhixun Su, Yu Cai


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Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning


May 29, 2014
Zhouchen Lin, Risheng Liu, Huan Li

* Preliminary version published on Asian Conference on Machine Learning 2013 

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Kernel Estimation from Salient Structure for Robust Motion Deblurring


May 24, 2014
Jinshan Pan, Risheng Liu, Zhixun Su, Xianfeng Gu

* Signal Processing: Image Communication, 2013 
* This work has been accepted by Signal Processing: Image Communication, 2013 

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Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering


May 06, 2012
Risheng Liu, Zhouchen Lin, Siming Wei, Zhixun Su


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