Yangzhou Jiang — accepted AI-conference papers

2022

Contrastive Regression for Domain Adaptation on Gaze Estimation

Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li +2

CVPR 2022poster

Appearance-based Gaze Estimation leverages deep neural networks to regress the gaze direction from monocular images and achieve impressive performance. However, its success depends on expensive and cumbersome annotation capture. When lacking precise annotation, the large domain gap hinders the perfo…

Cited by 99 PDF ↗Scholar ↗

2020

Learning Black-Box Attackers with Transferable Priors and Query Feedback

Jiancheng YANG, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao

NeurIPS 2020poster

This paper addresses the challenging black-box adversarial attack problem, where only classification confidence of a victim model is available. Inspired by consistency of visual saliency between different vision models, a surrogate model is expected to improve the attack performance via transferabil…

Cited by 92 Source ↗PDF ↗code ↗Scholar ↗