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Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework
Risheng Liu, Xin Fan, Shichao Cheng +2
Deep learning models have gained great success in many real-world applications. However, most existing networks are typically designed in heuristic manners, thus lack of rigorous m…
Self-Reinforced Cascaded Regression for Face Alignment
Xin Fan, Risheng Liu, Kang Huyan +2
Cascaded regression is prevailing in face alignment thanks to its accuracy and robustness, but typically demands manually annotated examples having low discrepancy between shape-in…
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond
Risheng Liu, Xin Fan, Minjun Hou +3
Single image dehazing is an important low-level vision task with many applications. Early researches have investigated different kinds of visual priors to address this problem. How…
An Optimization Framework with Flexible Inexact Inner Iterations for Nonconvex and Nonsmooth Programming
Yiyang Wang, Risheng Liu, Xiaoliang Song +1
In recent years, numerous vision and learning tasks have been (re)formulated as nonconvex and nonsmooth programmings(NNPs). Although some algorithms have been proposed for particul…