121 citations · 257 across the 6 of their papers we have counts for
7 papers
Maximizing Success Rate of Payment Routing using Non-stationary Bandits
Aayush Chaudhary, Abhinav Rai, Abhishek Gupta
This paper discusses the system architecture design and deployment of non-stationary multi-armed bandit approaches to determine a near-optimal payment routing policy based on the r…
Semi-Supervised Learning for Eye Image Segmentation
Aayush K. Chaudhary, Prashnna K. Gyawali, Linwei Wang +1
Recent advances in appearance-based models have shown improved eye tracking performance in difficult scenarios like occlusion due to eyelashes, eyelids or camera placement, and env…
- Enhancing the Precision of Eye Tracking using Iris Feature Motion Vectors
Aayush K. Chaudhary, Jeff B. Pelz
A new high-precision eye-tracking method has been demonstrated recently by tracking the motion of iris features rather than by exploiting pupil edges. While the method provides hig…
EllSeg: An Ellipse Segmentation Framework for Robust Gaze Tracking
Rakshit S. Kothari, Aayush K. Chaudhary, Reynold J. Bailey +2
Ellipse fitting, an essential component in pupil or iris tracking based video oculography, is performed on previously segmented eye parts generated using various computer vision te…
RIT-Eyes: Rendering of near-eye images for eye-tracking applications
Nitinraj Nair, Rakshit Kothari, Aayush K. Chaudhary +4
Deep neural networks for video-based eye tracking have demonstrated resilience to noisy environments, stray reflections, and low resolution. However, to train these networks, a lar…
Privacy-Preserving Eye Videos using Rubber Sheet Model
Aayush K Chaudhary, Jeff B. Pelz
Video-based eye trackers estimate gaze based on eye images/videos. As security and privacy concerns loom over technological advancements, tackling such challenges is crucial. We pr…
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
Aayush K. Chaudhary, Rakshit Kothari, Manoj Acharya +6
Accurate eye segmentation can improve eye-gaze estimation and support interactive computing based on visual attention; however, existing eye segmentation methods suffer from issues…