14 citations · 27 across the 8 of their papers we have counts for
8 papers · 1 filter
Analyzing the Impact of Shape & Context on the Face Recognition Performance of Deep Networks
Sandipan Banerjee, Walter Scheirer, Kevin Bowyer +1
In this article, we analyze how changing the underlying 3D shape of the base identity in face images can distort their overall appearance, especially from the perspective of deep f…
Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects
Sandipan Banerjee, Ajjen Joshi, Jay Turcot +2
Distracted drivers are dangerous drivers. Equipping advanced driver assistance systems (ADAS) with the ability to detect driver distraction can help prevent accidents and improve d…
In-the-wild Drowsiness Detection from Facial Expressions
Ajjen Joshi, Survi Kyal, Sandipan Banerjee +1
Driving in a state of drowsiness is a major cause of road accidents, resulting in tremendous damage to life and property. Developing robust, automatic, real-time systems that can i…
LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions by Leveraging Human Perceptual Judgements
Sandipan Banerjee, Ajjen Joshi, Prashant Mahajan +3
Building facial analysis systems that generalize to extreme variations in lighting and facial expressions is a challenging problem that can potentially be alleviated using natural-…
Fast Face Image Synthesis with Minimal Training
Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer +1
We propose an algorithm to generate realistic face images of both real and synthetic identities (people who do not exist) with different facial yaw, shape and resolution.The synthe…
SREFI: Synthesis of Realistic Example Face Images
Sandipan Banerjee, John S. Bernhard, Walter J. Scheirer +2
In this paper, we propose a novel face synthesis approach that can generate an arbitrarily large number of synthetic images of both real and synthetic identities. Thus a face image…
Visual Recognition of Paper Analytical Device Images for Detection of Falsified Pharmaceuticals
Sandipan Banerjee, James Sweet, Christopher Sweet +1
Falsification of medicines is a big problem in many developing countries, where technological infrastructure is inadequate to detect these harmful products. We have developed a set…
To Frontalize or Not To Frontalize: Do We Really Need Elaborate Pre-processing To Improve Face Recognition?
Sandipan Banerjee, Joel Brogan, Janez Krizaj +5
Face recognition performance has improved remarkably in the last decade. Much of this success can be attributed to the development of deep learning techniques such as convolutional…