121 citations · 218 across the 4 of their papers we have counts for
7 papers
Learning Scalable -constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression
Yuanchao Bai, Xianming Liu, Wangmeng Zuo +2
We propose a novel joint lossy image and residual compression framework for learning -constrained near-lossless image compression. Specifically, we obtain a lossy reco…
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
Xu Qin, Zhilin Wang, Yuanchao Bai +2
In this paper, we propose an end-to-end feature fusion at-tention network (FFA-Net) to directly restore the haze-free image. The FFA-Net architecture consists of three key componen…
Fast Graph Sampling Set Selection Using Gershgorin Disc Alignment
Yuanchao Bai, Fen Wang, Gene Cheung +2
Graph sampling set selection, where a subset of nodes are chosen to collect samples to reconstruct a smooth graph signal, is a fundamental problem in graph signal processing (GSP).…
Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior
Yuanchao Bai, Huizhu Jia, Ming Jiang +3
Blind image deblurring is a challenging problem in computer vision, which aims to restore both the blur kernel and the latent sharp image from only a blurry observation. Inspired b…
Reconstruction-Cognizant Graph Sampling using Gershgorin Disc Alignment
Yuanchao Bai, Gene Cheung, Fen Wang +2
Graph sampling with noise is a fundamental problem in graph signal processing (GSP). Previous works assume an unbiased least square (LS) signal reconstruction scheme and select sam…
Graph-Based Blind Image Deblurring From a Single Photograph
Yuanchao Bai, Gene Cheung, Xianming Liu +1
Blind image deblurring, i.e., deblurring without knowledge of the blur kernel, is a highly ill-posed problem. The problem can be solved in two parts: i) estimate a blur kernel from…