activity
20242026
most citedModeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.PE2026

Evolutionary foraging in grids: Intermittent search dynamics emerge in finite, depletable landscapes

Shailendra Bhandari, Alex Szorkovszky, Anis Yazidi +1

How search strategies evolve in finite, depletable landscapes remains a question in foraging theory. We study this problem with an evolutionary simulation in which agents forage on…

cs.CV2026

Diffusion models for eye-gaze trajectory generation using position and velocity representations

Laxman Basnet, Alexander Szorkovszky, Pedro G. Lind +2

Eye-tracking data are expensive to collect, requiring specialized hardware and controlled laboratory conditions, and difficult to share due to privacy regulations, which together l…

cs.NE2025

Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method

Charles Orioma, Josef Krivan, Rujeena Mathema +4

Properties of ocular fixations and saccades are highly stochastic during many experimental tasks, and their statistics are often used as proxies for various aspects of cognition. A…

q-bio.NC2025

Saccade crossing avoidance as a visual search strategy

Alex Szorkovszky, Rujeena Mathema, Pedro Lencastre +2

Although visual search appears largely random, several oculomotor biases exist such that the likelihoods of saccade directions and lengths depend on the previous scan path. Compare…

cs.NE2024★ 4 cited

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity

Shailendra Bhandari, Pedro Lencastre, Rujeena Mathema +3

Accurate modeling of eye gaze dynamics is essential for advancement in human-computer interaction, neurological diagnostics, and cognitive research. Traditional generative models l…