activity
20202025
most citedAnytime Prediction as a Model of Human Reaction Time

4 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2025

EasyEyes: Online hearing research using speakers calibrated by phones

Ivan Vican, Hugo De Moraes, Chongjun Liao +4

Hearing research requires a calibrated sound source, traditionally as lab equipment. Online research is quicker and more inclusive, but most participants lack calibration equipment…

cs.LG2023★ 3 cited

Spatial-frequency channels, shape bias, and adversarial robustness

Ajay Subramanian, Elena Sizikova, Najib J. Majaj +1

What spatial frequency information do humans and neural networks use to recognize objects? In neuroscience, critical band masking is an established tool that can reveal the frequen…

cs.CV2022★ 3 cited

SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks

Ajay Subramanian, Sara Price, Omkar Kumbhar +3

The core of everyday tasks like reading and driving is active object recognition. Attempts to model such tasks are currently stymied by the inability to incorporate time. People sh…

cs.AI2020★ 4 cited

Anytime Prediction as a Model of Human Reaction Time

Omkar Kumbhar, Elena Sizikova, Najib Majaj +1

Neural networks today often recognize objects as well as people do, and thus might serve as models of the human recognition process. However, most such networks provide their answe…

cs.CV2020

Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models

Sahar Siddiqui, Elena Sizikova, Gemma Roig +2

Scene text recognition models have advanced greatly in recent years. Inspired by human reading we characterize two important scene text recognition models by measuring their domain…