3 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
Sreeraj Ramachandran, Ajita Rattani
Published research highlights the presence of demographic bias in automated facial attribute classification. The proposed bias mitigation techniques are mostly based on supervised…
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups
Sreeraj Ramachandran, Ajita Rattani
Published studies have suggested the bias of automated face-based gender classification algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained for…
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers
Aakash Varma Nadimpalli, Narsi Reddy, Sreeraj Ramachandran +1
With significant advances in deep learning, many computer vision applications have reached the inflection point. However, these deep learning models need large amount of labeled da…
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition
Sreeraj Ramachandran, Aakash Varma Nadimpalli, Ajita Rattani
Significant advances in deep learning have obtained hallmark accuracy rates for various computer vision applications. However, advances in deep generative models have also led to t…