Search Results for author: Nasser Kehtarnavaz

Found 10 papers, 4 papers with code

Probabilistic Neural Network to Quantify Uncertainty of Wind Power Estimation

no code implementations4 Jun 2021 Farzad Karami, Nasser Kehtarnavaz, Mario Rotea

The developed network captures both model and noise uncertainty which is found to be useful tools in assessing performance.

Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy

no code implementations6 Mar 2021 Sharmin Majumder, Nasser Kehtarnavaz

The regression model learns the inter-dependency between the stages and outputs a score corresponding to the severity level of DR generating a higher score for a higher severity level.

General Classification regression +1

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

no code implementations2 Aug 2020 Sharmin Majumder, Nasser Kehtarnavaz

Human action recognition is used in many applications such as video surveillance, human computer interaction, assistive living, and gaming.

Action Recognition Temporal Action Localization

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

no code implementations1 Jul 2020 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 user.

reinforcement-learning Reinforcement Learning (RL)

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

no code implementations22 Apr 2020 Reza Pourreza, Nasser Kehtarnavaz

In this paper, a method for automatically selecting the exposure settings of such images is introduced based on the camera characteristic function.

Computational Efficiency

Image Segmentation Using Deep Learning: A Survey

2 code implementations15 Jan 2020 Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos

Image segmentation is a key topic in image processing and computer vision with applications such as scene understanding, medical image analysis, robotic perception, video surveillance, augmented reality, and image compression, among many others.

Image Compression Image Segmentation +3

Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps

1 code implementation8 Jan 2019 Abhishek Sehgal, Nasser Kehtarnavaz

From the variety of available deep learning tools, the most suited ones are used in this paper to enable real-time deployment of deep learning inference networks on smartphones.

Benchmarking Edge-computing +1

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