9 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.CV2017★ 9 cited
DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features of Convolutional Neural Nets
Ali Mahdi, Jun Qin
A deep feature based saliency model (DeepFeat) is developed to leverage the understanding of the prediction of human fixations. Traditional saliency models often predict the human…
physics.bio-ph2017★ 2 cited
Investigations of Auditory Filters Based Excitation Patterns for Assessment of Noise Induced Hearing Loss
Wisam Subhi Al-Dayyeni, Pengfei Sun, Jun Qin
Noise induced hearing loss (NIHL) as one of major avoidable occupational related health issues has been studied for decades. To assess NIHL, the excitation pattern (EP) has been co…