262 citations · 1.9k across the 68 of their papers we have counts for
8 papers · 1 filter
Blind Image Deblurring via Reweighted Graph Total Variation
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…
AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond
Lingyu Duan, Yihang Lou, Shiqi Wang +2
Deep learning has achieved substantial success in a series of tasks in computer vision. Intelligent video analysis, which can be broadly applied to video surveillance in various sm…
Performance Guaranteed Network Acceleration via High-Order Residual Quantization
Zefan Li, Bingbing Ni, Wenjun Zhang +2
Input binarization has shown to be an effective way for network acceleration. However, previous binarization scheme could be regarded as simple pixel-wise thresholding operations (…
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation
Jinzhuo Wang, Wenmin Wang, Ronggang Wang +1
Monte Carlo tree search (MCTS) is extremely popular in computer Go which determines each action by enormous simulations in a broad and deep search tree. However, human experts sele…
Fast MPEG-CDVS Encoder with GPU-CPU Hybrid Computing
Lingyu Duan, Wei Sun, Xinfeng Zhang +7
The compact descriptors for visual search (CDVS) standard from ISO/IEC moving pictures experts group (MPEG) has succeeded in enabling the interoperability for efficient and effecti…
Compact Descriptors for Video Analysis: the Emerging MPEG Standard
Ling-Yu Duan, Vijay Chandrasekhar, Shiqi Wang +6
This paper provides an overview of the on-going compact descriptors for video analysis standard (CDVA) from the ISO/IEC moving pictures experts group (MPEG). MPEG-CDVA targets at d…
Learning a collaborative multiscale dictionary based on robust empirical mode decomposition
Rui Chen, Huizhu Jia, Xiaodong Xie +1
Dictionary learning is a challenge topic in many image processing areas. The basic goal is to learn a sparse representation from an overcomplete basis set. Due to combining the adv…
Local Patch Encoding-Based Method for Single Image Super-Resolution
Yang Zhao, Ronggang Wang, Wei Jia +3
Recent learning-based super-resolution (SR) methods often focus on dictionary learning or network training. In this paper, we discuss in detail a new SR method based on local patch…