no code implementations • CVPR 2021 • Sixue Gong, Xiaoming Liu, Anil K. Jain
Our proposed group adaptive classifier mitigates bias by using adaptive convolution kernels and attention mechanisms on faces based on their demographic attributes.
1 code implementation • ECCV 2020 • Sixue Gong, Xiaoming Liu, Anil K. Jain
We address the problem of bias in automated face recognition and demographic attribute estimation algorithms, where errors are lower on certain cohorts belonging to specific demographic groups.
no code implementations • 26 Apr 2019 • Sixue Gong, Yichun Shi, Anil K. Jain
Recurrent networks have been successful in analyzing temporal data and have been widely used for video analysis.
no code implementations • 19 Feb 2019 • Sixue Gong, Yichun Shi, Anil K. Jain
We propose a new approach to video face recognition.
1 code implementation • 24 Apr 2018 • Debayan Deb, Susan Wiper, Alexandra Russo, Sixue Gong, Yichun Shi, Cori Tymoszek, Anil Jain
We present a new method of primate face recognition, and evaluate this method on several endangered primates, including golden monkeys, lemurs, and chimpanzees.
2 code implementations • CVPR 2019 • Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain
This paper addresses the following questions pertaining to the intrinsic dimensionality of any given image representation: (i) estimate its intrinsic dimensionality, (ii) develop a deep neural network based non-linear mapping, dubbed DeepMDS, that transforms the ambient representation to the minimal intrinsic space, and (iii) validate the veracity of the mapping through image matching in the intrinsic space.
no code implementations • 29 Sep 2017 • Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain
Numerical experiments on unconstrained faces (IJB-C) provides a capacity upper bound of $2. 7\times10^4$ for FaceNet and $8. 4\times10^4$ for SphereFace representation at a false acceptance rate (FAR) of 1%.