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20102023
most citedLinearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation

1k citations · 2.2k across the 80 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

eess.IV2021

Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement

Long Ma, Risheng Liu, Jiaao Zhang +2

Enhancing the quality of low-light images plays a very important role in many image processing and multimedia applications. In recent years, a variety of deep learning techniques h…

cs.CV2021★ 9 cited

Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision

Risheng Liu, Long Ma, Tengyu Ma +2

Images captured from low-light scenes often suffer from severe degradations, including low visibility, color cast and intensive noises, etc. These factors not only affect image qua…

eess.IV2021★ 27 cited

Triple-level Model Inferred Collaborative Network Architecture for Video Deraining

Pan Mu, Zhu Liu, Yaohua Liu +2

Video deraining is an important issue for outdoor vision systems and has been investigated extensively. However, designing optimal architectures by the aggregating model formation…

cs.LG2021★ 13 cited

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond

Risheng Liu, Yaohua Liu, Shangzhi Zeng +1

In recent years, Bi-Level Optimization (BLO) techniques have received extensive attentions from both learning and vision communities. A variety of BLO models in complex and practic…

cs.LG2021★ 1 cited

Value-Function-based Sequential Minimization for Bi-level Optimization

Risheng Liu, Xuan Liu, Shangzhi Zeng +2

Gradient-based Bi-Level Optimization (BLO) methods have been widely applied to handle modern learning tasks. However, most existing strategies are theoretically designed based on r…

math.OC2021★ 4 cited

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization

Risheng Liu, Xuan Liu, Xiaoming Yuan +2

Bi-level optimization model is able to capture a wide range of complex learning tasks with practical interest. Due to the witnessed efficiency in solving bi-level programs, gradien…

cs.LG2021

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

Risheng Liu, Pan Mu, Xiaoming Yuan +2

In recent years, a variety of gradient-based methods have been developed to solve Bi-Level Optimization (BLO) problems in machine learning and computer vision areas. However, the t…

cs.LG2021

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

Risheng Liu, Jiaxin Gao, Jin Zhang +2

Bi-Level Optimization (BLO) is originated from the area of economic game theory and then introduced into the optimization community. BLO is able to handle problems with a hierarchi…