no code implementations • 2 Jun 2022 • Lamia Alam, Nasser Kehtarnavaz
Defect detection plays a vital role in the manufacturing process of integrated circuits (ICs).
no code implementations • 4 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.
no code implementations • 6 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.
1 code implementation • 24 Dec 2020 • Ce Zheng, Wenhan Wu, Chen Chen, Taojiannan Yang, Sijie Zhu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah
Furthermore, 2D and 3D human pose estimation datasets and evaluation metrics are included.
no code implementations • 2 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.
no code implementations • 1 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.
no code implementations • 22 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.
2 code implementations • 15 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.
1 code implementation • 8 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.
1 code implementation • IEEE Access 2018 • Abhishek Sehgal, Nasser Kehtarnavaz
This paper presents a smartphone app that performs real-time voice activity detection based on convolutional neural network.