activity
20162023
most citedHierarchical Representation Learning for Kinship Verification

81 citations · 262 across the 26 of their papers we have counts for

collaborators

50 papers

cs.SD2023

Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects

Rishabh Ranjan, Mayank Vatsa, Richa Singh

Audio has become an increasingly crucial biometric modality due to its ability to provide an intuitive way for humans to interact with machines. It is currently being used for a ra…

cs.CV2022

Are Face Detection Models Biased?

Surbhi Mittal, Kartik Thakral, Puspita Majumdar +2

The presence of bias in deep models leads to unfair outcomes for certain demographic subgroups. Research in bias focuses primarily on facial recognition and attribute prediction wi…

cs.CV2022

DeePhy: On Deepfake Phylogeny

Kartik Narayan, Harsh Agarwal, Kartik Thakral +3

Deepfake refers to tailored and synthetically generated videos which are now prevalent and spreading on a large scale, threatening the trustworthiness of the information available…

cs.CV2022★ 1 cited

On Biased Behavior of GANs for Face Verification

Sasikanth Kotti, Mayank Vatsa, Richa Singh

Deep Learning systems need large data for training. Datasets for training face verification systems are difficult to obtain and prone to privacy issues. Synthetic data generated by…

cs.CV2021

Anatomizing Bias in Facial Analysis

Richa Singh, Puspita Majumdar, Surbhi Mittal +1

Existing facial analysis systems have been shown to yield biased results against certain demographic subgroups. Due to its impact on society, it has become imperative to ensure tha…

cs.CV2021

MTCD: Cataract Detection via Near Infrared Eye Images

Pavani Tripathi, Yasmeena Akhter, Mahapara Khurshid +4

Globally, cataract is a common eye disease and one of the leading causes of blindness and vision impairment. The traditional process of detecting cataracts involves eye examination…