1 code implementation • 12 Nov 2023 • Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter Tu, Richard Hartley
We present a diffusion-based image morphing approach with perceptually-uniform sampling (IMPUS) that produces smooth, direct and realistic interpolations given an image pair.
no code implementations • 18 Oct 2022 • Zhengyang Yu, Jochen Triesch
The CRE considers the central patch as the center of the circle and measures the distance of the remaining patches from the center based on the four neighborhoods principle.
no code implementations • NeurIPS Workshop SVRHM 2021 • Felix Schneider, Xia Xu, Markus Roland Ernst, Zhengyang Yu, Jochen Triesch
We propose a family of CLTT algorithms based on state-of-the-art contrastive learning methods and test them on three data sets.
1 code implementation • 7 Dec 2020 • Zhengyang Yu, Song Wu, Zhihao Dou, Erwin M. Bakker
In this paper, we propose a novel self-supervised asymmetric deep hashing method with a margin-scalable constraint(SADH) approach to cope with these problems.