activity
20172021
most citedA Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment

71 citations · 115 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 29 cited

Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning

Haoran Wei, Qingbo Wu, Hui Li +4

Due to the lack of natural scene and haze prior information, it is greatly challenging to completely remove the haze from a single image without distorting its visual content. Fort…

cs.CV2021★ 2 cited

BA^2M: A Batch Aware Attention Module for Image Classification

Qishang Cheng, Hongliang Li, Qingbo Wu +1

The attention mechanisms have been employed in Convolutional Neural Network (CNN) to enhance the feature representation. However, existing attention mechanisms only concentrate on…

cs.CV2019★ 10 cited

Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion

Fanman Meng, Kaixu Huang, Hongliang Li +1

Existing method generates class activation map (CAM) by a set of fixed classes (i.e., using all the classes), while the discriminative cues between class pairs are not considered.…

cs.CV2019★ 2 cited

Hierarchy Neighborhood Discriminative Hashing for An Unified View of Single-Label and Multi-Label Image retrieval

Lei Ma, Hongliang Li, Qingbo Wu +2

Recently, deep supervised hashing methods have become popular for large-scale image retrieval task. To preserve the semantic similarity notion between examples, they typically util…

cs.CL2017★ 1 cited

Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers

Zibo Yi, Shasha Li, Jie Yu +1

Drug-drug interaction (DDI) is a vital information when physicians and pharmacists intend to co-administer two or more drugs. Thus, several DDI databases are constructed to avoid m…

cs.CV2017★ 71 cited

A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment

Qingbo Wu, Hongliang Li, Fanman Meng +1

In the field of objective image quality assessment (IQA), the Spearman's and Kendall's are two most popular rank correlation indicators, which straightforwardly assign unif…