46 citations · 248 across the 39 of their papers we have counts for
5 papers · 1 filter
An Attention-Driven Approach of No-Reference Image Quality Assessment
Diqi Chen, Yizhou Wang, Tianfu Wu +1
In this paper, we present a novel method of no-reference image quality assessment (NR-IQA), which is to predict the perceptual quality score of a given image without using any refe…
Zero-Shot Learning posed as a Missing Data Problem
Bo Zhao, Botong Wu, Tianfu Wu +1
This paper presents a method of zero-shot learning (ZSL) which poses ZSL as the missing data problem, rather than the missing label problem. Specifically, most existing ZSL methods…
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Yunzhu Li, Benyuan Sun, Tianfu Wu +1
This paper presents a method for face detection in the wild, which integrates a ConvNet and a 3D mean face model in an end-to-end multi-task discriminative learning framework. The…
Maximal Sparsity with Deep Networks?
Bo Xin, Yizhou Wang, Wen Gao +1
The iterations of many sparse estimation algorithms are comprised of a fixed linear filter cascaded with a thresholding nonlinearity, which collectively resemble a typical neural n…
A Novel Method to Study Bottom-up Visual Saliency and its Neural Mechanism
Cheng Chen, Xilin Zhang, Yizhou Wang +1
In this study, we propose a novel method to measure bottom-up saliency maps of natural images. In order to eliminate the influence of top-down signals, backward masking is used to…