9.2k citations · 17.8k across the 63 of their papers we have counts for
63 papers
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
Binghui Chen, Zhaoyi Yan, Ke Li +4
In crowd counting, due to the problem of laborious labelling, it is perceived intractability of collecting a new large-scale dataset which has plentiful images with large diversity…
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel
Zongsheng Yue, Qian Zhao, Jianwen Xie +3
While researches on model-based blind single image super-resolution (SISR) have achieved tremendous successes recently, most of them do not consider the image degradation sufficien…
Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets
Wei Lian, Wangmeng Zuo
In many applications, we need algorithms which can align partially overlapping point sets and are invariant to the corresponding transformations. In this work, a method possessing…
Deep Adaptive Inference Networks for Single Image Super-Resolution
Ming Liu, Zhilu Zhang, Liya Hou +2
Recent years have witnessed tremendous progress in single image super-resolution (SISR) owing to the deployment of deep convolutional neural networks (CNNs). For most existing meth…
Variational Denoising Network: Toward Blind Noise Modeling and Removal
Zongsheng Yue, Hongwei Yong, Qian Zhao +2
Blind image denoising is an important yet very challenging problem in computer vision due to the complicated acquisition process of real images. In this work we propose a new varia…
Reliable and Efficient Image Cropping: A Grid Anchor based Approach
Hui Zeng, Lida Li, Zisheng Cao +1
Image cropping aims to improve the composition as well as aesthetic quality of an image by removing extraneous content from it. Existing image cropping databases provide only one o…