128 citations · 449 across the 7 of their papers we have counts for
7 papers
A Neural Active Inference Model of Perceptual-Motor Learning
Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen +2
The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior through reward-based lear…
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…
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…
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…