1k citations · 2.2k across the 80 of their papers we have counts for
6 papers · 2 filters
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling
Risheng Liu, Pan Mu, Jian Chen +2
Properly modeling latent image distributions plays an important role in a variety of image-related vision problems. Most exiting approaches aim to formulate this problem as optimiz…
Investigating Customization Strategies and Convergence Behaviors of Task-specific ADMM
Risheng Liu, Pan Mu, Jin Zhang
Alternating Direction Method of Multiplier (ADMM) has been a popular algorithmic framework for separable optimization problems with linear constraints. For numerical ADMM fail to e…
Semi-supervised Skin Detection by Network with Mutual Guidance
Yi He, Jiayuan Shi, Chuan Wang +5
In this paper we present a new data-driven method for robust skin detection from a single human portrait image. Unlike previous methods, we incorporate human body as a weak semanti…
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation
Risheng Liu, Long Ma, Yuxi Zhang +2
Enhancing visual qualities for underexposed images is an extensively concerned task that plays important roles in various areas of multimedia and computer vision. Most existing met…
Task-Oriented Convex Bilevel Optimization with Latent Feasibility
Risheng Liu, Long Ma, Xiaoming Yuan +2
This paper firstly proposes a convex bilevel optimization paradigm to formulate and optimize popular learning and vision problems in real-world scenarios. Different from convention…
Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions
Risheng Liu, Xin Fan, Ming Zhu +2
Underwater image enhancement is such an important low-level vision task with many applications that numerous algorithms have been proposed in recent years. These algorithms develop…