Haiwei Wu

TL;DR: This paper describes the DKU replay detection system for the ASVspoof 2019 challenge and introduces an utterance-level deep learning framework for anti-spoofing that leverages the countermeasure system pipeline from four aspects, including the data augmentation, feature representation, classification, and fusion.

TL;DR: This work designs a baseline detector, conducts a thorough analysis of the noise introduced by OSNs, and incorporates the modelled noise into a robust training framework, significantly improving the robustness of the image forgery detector.

TL;DR: This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2022, and the competition set-up, datasets, proposed methods and their results.

TL;DR: This paper develops three domain aware training systems, including the domain embedding system, the deep CORAL system, and the multi-task learning system, which incorporate domain knowledge into network training and improve the performance of the keyword classifier on far-field conditions.

TL;DR: A novel robust training scheme that simulates the noise introduced by the disclosed (known) operations of OSNs, and incorporates the modelled noise into a robust training framework, significantly improving the robustness of the image forgery detector.