171 citations · 263 across the 11 of their papers we have counts for
14 papers
A Survey of Detection Methods for Die Attachment and Wire Bonding Defects in Integrated Circuit Manufacturing
Lamia Alam, Nasser Kehtarnavaz
Defect detection plays a vital role in the manufacturing process of integrated circuits (ICs). Die attachment and wire bonding are two steps of the manufacturing process that deter…
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…
Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy
Sharmin Majumder, Nasser Kehtarnavaz
This paper presents a multitask deep learning model to detect all the five stages of diabetic retinopathy (DR) consisting of no DR, mild DR, moderate DR, severe DR, and proliferate…
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…
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…
Deep Learning-Based Human Pose Estimation: A Survey
Ce Zheng, Wenhan Wu, Chen Chen +5
Human pose estimation aims to locate the human body parts and build human body representation (e.g., body skeleton) from input data such as images and videos. It has drawn increasi…
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…
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…
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…
A Review of Multi-Objective Deep Learning Speech Denoising Methods
Arian Azarang, Nasser Kehtarnavaz
This paper presents a review of multi-objective deep learning methods that have been introduced in the literature for speech denoising. After stating an overview of conventional, s…
Image Segmentation Using Deep Learning: A Survey
Shervin Minaee, Yuri Boykov, Fatih Porikli +3
Image segmentation is a key topic in image processing and computer vision with applications such as scene understanding, medical image analysis, robotic perception, video surveilla…
Computationally Efficient Optic Nerve Head Detection in Retinal Fundus Images
Reza Pourreza-Shahri, Meysam Tavakoli, Nasser Kehtarnavaz
This paper presents a computationally efficient method for the detection of optic nerve head in both color fundus and fluorescein angiography images. It involves a combination of R…
Improving Deep Speech Denoising by Noisy2Noisy Signal Mapping
Nasim Alamdari, Arian Azarang, Nasser Kehtarnavaz
Existing deep learning-based speech denoising approaches require clean speech signals to be available for training. This paper presents a deep learning-based approach to improve sp…
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps
Abhishek Sehgal, Nasser Kehtarnavaz
Deep learning solutions are being increasingly used in mobile applications. Although there are many open-source software tools for the development of deep learning solutions, there…