no code implementations • 5 Aug 2022 • Sandipan Banerjee, Walter Scheirer, Kevin Bowyer, Patrick Flynn
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 face recognition.
no code implementations • 5 Dec 2020 • Sandipan Banerjee, Ajjen Joshi, Jay Turcot, Bryan Reimer, Taniya Mishra
Distracted drivers are dangerous drivers.
no code implementations • 21 Oct 2020 • Ajjen Joshi, Survi Kyal, Sandipan Banerjee, Taniya Mishra
However, developing drowsiness detection systems that work well in real-world scenarios is challenging because of the difficulties associated with collecting high-volume realistic drowsy data and modeling the complex temporal dynamics of evolving drowsy states.
1 code implementation • 4 Oct 2020 • Sandipan Banerjee, Ajjen Joshi, Prashant Mahajan, Sneha Bhattacharya, Survi Kyal, Taniya Mishra
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-looking synthetic data.
no code implementations • 17 Nov 2018 • Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn
We propose a multi-scale GAN model to hallucinate realistic context (forehead, hair, neck, clothes) and background pixels automatically from a single input face mask.
no code implementations • 5 Nov 2018 • Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn
Our method samples face components from a pool of multiple face images of real identities to generate the synthetic texture.
no code implementations • 21 Apr 2017 • Sandipan Banerjee, John S. Bernhard, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn
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.
no code implementations • 13 Apr 2017 • Sandipan Banerjee, James Sweet, Christopher Sweet, Marya Lieberman
These cards have different reagents embedded in them which produce a set of distinctive color descriptors upon reacting with the chemical compounds that constitute pharmaceutical dosage forms.
1 code implementation • 16 Oct 2016 • Sandipan Banerjee, Joel Brogan, Janez Krizaj, Aparna Bharati, Brandon RichardWebster, Vitomir Struc, Patrick Flynn, Walter Scheirer
If a CNN is intended to tolerate facial pose, then we face an important question: should this training data be diverse in its pose distribution, or should face images be normalized to a single pose in a pre-processing step?