3 code implementations • 13 Nov 2023 • Rui Cai, Xuying Ning, Peter N. Belhumeur
In the post-pandemic era, wearing face masks has posed great challenge to the ordinary face recognition.
no code implementations • 1 Sep 2018 • Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann
In this paper, we introduce a stochastic dynamics video infilling (SDVI) framework to generate frames between long intervals in a video.
no code implementations • CVPR 2014 • Thomas Berg, Jiongxin Liu, Seung Woo Lee, Michelle L. Alexander, David W. Jacobs, Peter N. Belhumeur
We show how these priors can be used to significantly improve performance.
no code implementations • CVPR 2013 • Thomas Berg, Peter N. Belhumeur
From a set of images in a particular domain, labeled with part locations and class, we present a method to automatically learn a large and diverse set of highly discriminative intermediate features that we call Part-based One-vs-One Features (POOFs).