9.2k citations · 17.8k across the 63 of their papers we have counts for
15 papers · 1 filter
Learning Symmetry Consistent Deep CNNs for Face Completion
Xiaoming Li, Ming Liu, Jieru Zhu +4
Deep convolutional networks (CNNs) have achieved great success in face completion to generate plausible facial structures. These methods, however, are limited in maintaining global…
Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians
Hongwei Yong, Deyu Meng, Jinxing Li +2
Multi-view subspace learning (MSL) aims to find a low-dimensional subspace of the data obtained from multiple views. Different from single view case, MSL should take both common an…
Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement
Risheng Liu, Long Ma, Yiyang Wang +1
Enhancing visual qualities of images plays very important roles in various vision and learning applications. In the past few years, both knowledge-driven maximum a posterior (MAP)…
Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking
Yingjie Yao, Xiaohe Wu, Lei Zhang +2
Correlation filter (CF) based trackers generally include two modules, i.e., feature representation and on-line model adaptation. In existing off-line deep learning models for CF tr…
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
Jun Xu, Lei Zhang, David Zhang
Most of existing image denoising methods assume the corrupted noise to be additive white Gaussian noise (AWGN). However, the realistic noise in real-world noisy images is much more…
Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates
Jianrui Cai, Zisheng Cao, Lei Zhang
Lossy image compression (LIC), which aims to utilize inexact approximations to represent an image more compactly, is a classical problem in image processing. Recently, deep convolu…