1 code implementation • 21 Feb 2024 • Huankang Guan, Ke Xu, Rynson W. H. Lau
Our key insight to this problem is that existing methods typically learn discriminative shadow features from the whole image globally, covering the full range of intensity values, and may not learn the subtle differences between shadow and non-shadow pixels in dark regions.
no code implementations • 31 Mar 2022 • Jiaying Lin, Huankang Guan, Rynson W. H. Lau
Salient Object Ranking (SOR) involves ranking the degree of saliency of multiple salient objects in an input image.
no code implementations • CVPR 2022 • Huankang Guan, Jiaying Lin, Rynson W.H. Lau
Inspired by this observation, we propose a model to exploit the semantic associations between the mirror and its surrounding objects for a reliable mirror localization.
1 code implementation • 5 Jan 2019 • Zhixuan Zhou, Huankang Guan, Meghana Moorthy Bhat, Justin Hsu
In this paper, we argue that these models have the potential to misclassify fact-tampering fake news as well as under-written real news.