Search Results for author: King N. Ngan

Found 4 papers, 0 papers with code

Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image

no code implementations26 Sep 2019 Qingbo Wu, Lei Wang, King N. Ngan, Hongliang Li, Fanman Meng, Linfeng Xu

Then, a subjective study is conducted on our DQA database, which collects the subject-rated scores of all de-rained images.

Blind Image Quality Assessment Rain Removal

Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint

no code implementations21 Sep 2019 Kaixu Huang, Fanman Meng, Hongliang Li, Shuai Chen, Qingbo Wu, King N. Ngan

Moreover, a new orthogonal module and a two-branch based CAM generation method are proposed to generate class regions that are orthogonal and complementary.

Classification Clustering +1

A New Few-shot Segmentation Network Based on Class Representation

no code implementations19 Sep 2019 Yuwei Yang, Fanman Meng, Hongliang Li, King N. Ngan, Qingbo Wu

This paper studies few-shot segmentation, which is a task of predicting foreground mask of unseen classes by a few of annotations only, aided by a set of rich annotations already existed.

Segmentation

A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment

no code implementations15 May 2017 Qingbo Wu, Hongliang Li, Fanman Meng, King N. Ngan

By modifying the perception threshold, we can illustrate the sorting accuracy with a more sophisticated SA-ST curve, rather than a single rank correlation coefficient.

Image Quality Assessment

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