115 citations · 257 across the 7 of their papers we have counts for
8 papers
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Neeraj Varshney, Mihir Parmar, Nisarg Patel +4
Pre-training on large corpora of text enables the language models to acquire a vast amount of factual and commonsense knowledge which allows them to achieve remarkable performance…
Segment-based Methods for Facial Attribute Detection from Partial Faces
Upal Mahbub, Sayantan Sarkar, Rama Chellappa
State-of-the-art methods of attribute detection from faces almost always assume the presence of a full, unoccluded face. Hence, their performance degrades for partially visible and…
UPSET and ANGRI : Breaking High Performance Image Classifiers
Sayantan Sarkar, Ankan Bansal, Upal Mahbub +1
In this paper, targeted fooling of high performance image classifiers is achieved by developing two novel attack methods. The first method generates universal perturbations for tar…
Partial Face Detection in the Mobile Domain
Upal Mahbub, Sayantan Sarkar, Rama Chellappa
Generic face detection algorithms do not perform well in the mobile domain due to significant presence of occluded and partially visible faces. One promising technique to handle th…
Pooling Facial Segments to Face: The Shallow and Deep Ends
Upal Mahbub, Sayantan Sarkar, Rama Chellappa
Generic face detection algorithms do not perform very well in the mobile domain due to significant presence of occluded and partially visible faces. One promising technique to hand…
Active User Authentication for Smartphones: A Challenge Data Set and Benchmark Results
Upal Mahbub, Sayantan Sarkar, Vishal M. Patel +1
In this paper, automated user verification techniques for smartphones are investigated. A unique non-commercial dataset, the University of Maryland Active Authentication Dataset 02…
Deep Feature-based Face Detection on Mobile Devices
Sayantan Sarkar, Vishal M. Patel, Rama Chellappa
We propose a deep feature-based face detector for mobile devices to detect user's face acquired by the front facing camera. The proposed method is able to detect faces in images co…
Skin Segmentation based Elastic Bunch Graph Matching for efficient multiple Face Recognition
Sayantan Sarkar
This paper is aimed at developing and combining different algorithms for face detection and face recognition to generate an efficient mechanism that can detect and recognize the fa…