128 citations · 398 across the 8 of their papers we have counts for
9 papers
EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking
Rakshit S. Kothari, Reynold J. Bailey, Christopher Kanan +2
The study of human gaze behavior in natural contexts requires algorithms for gaze estimation that are robust to a wide range of imaging conditions. However, algorithms often fail t…
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…
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities
Rakshit Kothari, Zhizhuo Yang, Christopher Kanan +3
The interaction between the vestibular and ocular system has primarily been studied in controlled environments. Consequently, off-the shelf tools for categorization of gaze events…
Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks
Kamran Binaee, Anna Starynska, Jeff B Pelz +2
Theories for visually guided action account for online control in the presence of reliable sources of visual information, and predictive control to compensate for visuomotor delay…