activity
20172022
most citedThe State of Aerial Surveillance: A Survey

19 citations · 39 across the 17 of their papers we have counts for

collaborators
Showing cs.CVShow all

23 papers · 1 filter

cs.CV2022

Can GAN-induced Attribute Manipulations Impact Face Recognition?

Sudipta Banerjee, Aditi Aggarwal, Arun Ross

Impact due to demographic factors such as age, sex, race, etc., has been studied extensively in automated face recognition systems. However, the impact of \textit{digitally modifie…

cs.CV20221 cited

Facial De-morphing: Extracting Component Faces from a Single Morph

Sudipta Banerjee, Prateek Jaiswal, Arun Ross

A face morph is created by strategically combining two or more face images corresponding to multiple identities. The intention is for the morphed image to match with multiple ident…

cs.CV20221 cited

Periocular Biometrics and its Relevance to Partially Masked Faces: A Survey

Renu Sharma, Arun Ross

The performance of face recognition systems can be negatively impacted in the presence of masks and other types of facial coverings that have become prevalent due to the COVID-19 p…

cs.CV202219 cited

The State of Aerial Surveillance: A Survey

Kien Nguyen, Clinton Fookes, Sridha Sridharan +4

The rapid emergence of airborne platforms and imaging sensors are enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment and…

cs.CV2021

Conditional Identity Disentanglement for Differential Face Morph Detection

Sudipta Banerjee, Arun Ross

We present the task of differential face morph attack detection using a conditional generative network (cGAN). To determine whether a face image in an identification document, such…

cs.CV2021

One-shot Representational Learning for Joint Biometric and Device Authentication

Sudipta Banerjee, Arun Ross

In this work, we propose a method to simultaneously perform (i) biometric recognition (i.e., identify the individual), and (ii) device recognition, (i.e., identify the device) from…