12 citations · 29 across the 14 of their papers we have counts for
6 papers · 1 filter
Establishing Robust Retinal Eye Tracking: A Weakly Supervised Algorithmic Framework
Bo Wen, Dillon Lohr, Yatong An +8
Retinal image-based eye tracking is widely used in ophthalmic imaging and vision science, and is a promising path to deliver higher gaze accuracy than the pupil- and cornea-based a…
Gaze Authentication: Factors Influencing Authentication Performance
Dillon Lohr, Michael J Proulx, Mehedi Hasan Raju +1
This paper examines the key factors that influence the performance of state-of-the-art gaze-based authentication. Experiments were conducted on a large-scale, in-house dataset comp…
Ocular Authentication: Fusion of Gaze and Periocular Modalities
Dillon Lohr, Michael J. Proulx, Mehedi Hasan Raju +1
This paper investigates the feasibility of fusing two eye-centric authentication modalities-eye movements and periocular images-within a calibration-free authentication system. Whi…
Establishing a Baseline for Gaze-driven Authentication Performance in VR: A Breadth-First Investigation on a Very Large Dataset
Dillon Lohr, Michael J. Proulx, Oleg Komogortsev
This paper performs the crucial work of establishing a baseline for gaze-driven authentication performance to begin answering fundamental research questions using a very large data…
Temporal Persistence and Intercorrelation of Embeddings Learned by an End-to-End Deep Learning Eye Movement-driven Biometrics Pipeline
Mehedi Hasan Raju, Lee Friedman, Dillon J Lohr +1
What qualities make a feature useful for biometric performance? In prior research, pre-dating the advent of deep learning (DL) approaches to biometric analysis, a strong relationsh…
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics
Dillon Lohr, Oleg V Komogortsev
Eye movement biometrics (EMB) is a relatively recent behavioral biometric modality that may have the potential to become the primary authentication method in virtual- and augmented…