Do Humans Look Where Deep Convolutional Neural Networks "Attend"? - Mohammad K. Ebrahimpour; J. Benjamin Falandays; Samuel Spevack; David C. Noelle (ISVC (2), 2019)

Fast Object Localization via Sensitivity Analysis. - Mohammad K. Ebrahimpour; David C. Noelle (ISVC (2), 2019)

Ventral-Dorsal Neural Networks: Object Detection Via Selective Attention. - Mohammad K. Ebrahimpour; Jiayun Li; Yen-Yun Yu; Jackson Reesee; Azadeh Moghtaderi; Ming-Hsuan Yang 001; David C. Noelle (WACV, 2019)

Image captioning with weakly-supervised attention penalty. - Jiayun Li; Mohammad K. Ebrahimpour; Azadeh Moghtaderi; Yen-Yun Yu (CoRR, 2019)

End-To-End Auditory Object Recognition Via Inception Nucleus. - Mohammad K. Ebrahimpour; Timothy M. Shea; Andreea Danielescu 001; David C. Noelle; Christopher T. Kello (ICASSP, 2020)

WW-Nets: Dual Neural Networks for Object Detection. - Mohammad K. Ebrahimpour; J. Benjamin Falandays; Samuel Spevack; Ming-Hsuan Yang 001; David C. Noelle (IJCNN, 2020)

Ventral-Dorsal Neural Networks: Object Detection via Selective Attention. - Mohammad K. Ebrahimpour; Jiayun Li; Yen-Yun Yu; Jackson L. Reese; Azadeh Moghtaderi; Ming-Hsuan Yang 001; David C. Noelle (CoRR, 2020)

InfantNet: A Deep Neural Network for Analyzing Infant Vocalizations. - Mohammad K. Ebrahimpour; Sara Schneider; David C. Noelle; Christopher T. Kello (CoRR, 2020)

Biologically Inspired Efficiencies in Computer Vision and Audition. - Mohammad K. Ebrahimpour (2020)

Multi-Head Deep Metric Learning Using Global and Local Representations. - Mohammad K. Ebrahimpour; Gang Qian; Allison Beach (WACV, 2022)