activity
20192021
most citedGuidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps

5 citations · 6 across the 8 of their papers we have counts for

collaborators

11 papers

cs.NE2021

Probabilistic Neural Network to Quantify Uncertainty of Wind Power Estimation

Farzad Karami, Nasser Kehtarnavaz, Mario Rotea

Each year a growing number of wind farms are being added to power grids to generate electricity. The power curve of a wind turbine, which exhibits the relationship between generate…

eess.IV2021

A Generative Model Method for Unsupervised Multispectral Image Fusion in Remote Sensing

Arian Azarang, Nasser Kehtarnavaz

This paper presents a generative model method for multispectral image fusion in remote sensing which is trained without supervision. This method eases the supervision of learning a…

eess.IV2021

Deep Learning-Based Detail Map Estimation for MultiSpectral Image Fusion in Remote Sensing

Arian Azarang, Nasser Kehtarnavaz

This paper presents a deep learning-based estimation of the intensity component of MultiSpectral bands by considering joint multiplication of the neighbouring spectral bands. This…

cs.HC2020

Vision and Inertial Sensing Fusion for Human Action Recognition : A Review

Sharmin Majumder, Nasser Kehtarnavaz

Human action recognition is used in many applications such as video surveillance, human computer interaction, assistive living, and gaming. Many papers have appeared in the literat…

eess.AS2020

Personalization of Hearing Aid Compression by Human-In-Loop Deep Reinforcement Learning

Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz

Existing prescriptive compression strategies used in hearing aid fitting are designed based on gain averages from a group of users which are not necessarily optimal for a specific…

cs.CV20201 cited

Automatic exposure selection and fusion for high-dynamic-range photography via smartphones

Reza Pourreza, Nasser Kehtarnavaz

High-dynamic-range (HDR) photography involves fusing a bracket of images taken at different exposure settings in order to compensate for the low dynamic range of digital cameras su…