activity
20182020
most citedRecurrent Embedding Aggregation Network for Video Face Recognition

16 citations · 26 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV2020

Mitigating Face Recognition Bias via Group Adaptive Classifier

Sixue Gong, Xiaoming Liu, Anil K. Jain

Face recognition is known to exhibit bias - subjects in a certain demographic group can be better recognized than other groups. This work aims to learn a fair face representation,…

cs.CV2019

Jointly De-biasing Face Recognition and Demographic Attribute Estimation

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 demogr…

cs.CV201916 cited

Recurrent Embedding Aggregation Network for Video Face Recognition

Sixue Gong, Yichun Shi, Anil K. Jain

Recurrent networks have been successful in analyzing temporal data and have been widely used for video analysis. However, for video face recognition, where the base CNNs trained on…

cs.CV201910 cited

Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)

Sixue Gong, Yichun Shi, Anil K. Jain

We propose a new approach to video face recognition. Our component-wise feature aggregation network (C-FAN) accepts a set of face images of a subject as an input, and outputs a sin…

cs.CV2018

Face Recognition: Primates in the Wild

Debayan Deb, Susan Wiper, Alexandra Russo +4

We present a new method of primate face recognition, and evaluate this method on several endangered primates, including golden monkeys, lemurs, and chimpanzees. The three datasets…

cs.CV2018

On the Intrinsic Dimensionality of Image Representations

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…