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A mobile computer aided system for optic nerve head detection.

Yaroub Elloumi, Mohamed Akil, Nasser Kehtarnavaz: A mobile computer aided system for optic nerve head detection. Comput. Methods Programs Biomed. 162: 139-148 (2018)

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A Convolutional Neural Network Smartphone App for Real-Time Voice Activity...

Abhishek Sehgal, Nasser Kehtarnavaz: A Convolutional Neural Network Smartphone App for Real-Time Voice Activity Detection. IEEE Access 6: 9017-9026 (2018)

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Real-Time Continuous Detection and Recognition of Subject-Specific Smart TV...

Neha Dawar, Nasser Kehtarnavaz: Real-Time Continuous Detection and Recognition of Subject-Specific Smart TV Gestures via Fusion of Depth and Inertial Sensing. IEEE Access 6: 7019-7028 (2018)

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Smartphone-Based Real-Time Digital Signal Processing, Second Edition.

Nasser Kehtarnavaz, Abhishek Sehgal, Shane Parris: Smartphone-Based Real-Time Digital Signal Processing, Second Edition. Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers 2018,...

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Anywhere-Anytime Signals and Systems Laboratory: From MATLAB to Smartphones,...

Nasser Kehtarnavaz, Fatemeh Saki, Adrian Duran: Anywhere-Anytime Signals and Systems Laboratory: From MATLAB to Smartphones, Second Edition. Synthesis Lectures on Signal Processing, Morgan &...

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Self-Supervised Deep Learning-Based Speech Denoising.

Nasim Alamdari, Arian Azarang, Nasser Kehtarnavaz: Self-Supervised Deep Learning-Based Speech Denoising. CoRR abs/1904.12069 (2019)

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Guidelines and Benchmarks for Deployment of Deep Learning Models on...

Abhishek Sehgal, Nasser Kehtarnavaz: Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps. CoRR abs/1901.02144 (2019)

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A Real-Time Smartphone App for Unsupervised Noise Classification in Realistic...

Nasim Alamdari, Nasser Kehtarnavaz: A Real-Time Smartphone App for Unsupervised Noise Classification in Realistic Audio Environments. ICCE 2019: 1-5

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An Educational Tool for Hearing Aid Compression Fitting via a Web-based...

Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz: An Educational Tool for Hearing Aid Compression Fitting via a Web-based Adjusted Smartphone App. ICASSP 2019: 7650-7654

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Combining Data Augmentations for CNN-Based Voice Command Recognition.

Arian Azarang, John Hansen, Nasser Kehtarnavaz: Combining Data Augmentations for CNN-Based Voice Command Recognition. HSI 2019: 17-21

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Fusion of Video and Inertial Sensing for Deep Learning-Based Human Action...

Haoran Wei, Roozbeh Jafari, Nasser Kehtarnavaz: Fusion of Video and Inertial Sensing for Deep Learning-Based Human Action Recognition. Sensors 19(17): 3680 (2019)

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Semi-Supervised Faster RCNN-Based Person Detection and Load Classification...

Haoran Wei, Nasser Kehtarnavaz: Semi-Supervised Faster RCNN-Based Person Detection and Load Classification for Far Field Video Surveillance. Mach. Learn. Knowl. Extr. 1(3): 756-767 (2019)

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Guidelines and Benchmarks for Deployment of Deep Learning Models on...

Abhishek Sehgal, Nasser Kehtarnavaz: Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps. Mach. Learn. Knowl. Extr. 1(1): 450-465 (2019)

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Journal of Real-Time Image Processing: sixth issue of volume 16.

Matthias F. Carlsohn, Nasser Kehtarnavaz: Journal of Real-Time Image Processing: sixth issue of volume 16. J. Real Time Image Process. 16(6): 1889-1890 (2019)

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Journal of Real-Time Image Processing: second issue of volume 16.

Nasser Kehtarnavaz, Matthias F. Carlsohn: Journal of Real-Time Image Processing: second issue of volume 16. J. Real Time Image Process. 16(2): 241-242 (2019)

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Convolutional Autoencoder-Based Multispectral Image Fusion.

Arian Azarang, Hafez E. Manoochehri, Nasser Kehtarnavaz: Convolutional Autoencoder-Based Multispectral Image Fusion. IEEE Access 7: 35673-35683 (2019)

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Deep Learning-Based Human Pose Estimation: A Survey.

Ce Zheng, Wenhan Wu, Taojiannan Yang, Sijie Zhu, Chen Chen, Ruixu Liu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah: Deep Learning-Based Human Pose Estimation: A Survey. CoRR abs/2012.13392 (2020)

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

Sharmin Majumder, Nasser Kehtarnavaz: Vision and Inertial Sensing Fusion for Human Action Recognition : A Review. CoRR abs/2008.00380 (2020)

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Personalization of Hearing Aid Compression by Human-In-Loop Deep...

Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz: Personalization of Hearing Aid Compression by Human-In-Loop Deep Reinforcement Learning. CoRR abs/2007.00192 (2020)

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Automatic exposure selection and fusion for high-dynamic-range photography...

Reza Pourreza-Shahri, Nasser Kehtarnavaz: Automatic exposure selection and fusion for high-dynamic-range photography via smartphones. CoRR abs/2004.10365 (2020)

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A Review of Multi-Objective Deep Learning Speech Denoising Methods.

Arian Azarang, Nasser Kehtarnavaz: A Review of Multi-Objective Deep Learning Speech Denoising Methods. CoRR abs/2003.12108 (2020)

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Image Segmentation Using Deep Learning: A Survey.

Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos: Image Segmentation Using Deep Learning: A Survey. CoRR abs/2001.05566 (2020)

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A review of multi-objective deep learning speech denoising methods.

Arian Azarang, Nasser Kehtarnavaz: A review of multi-objective deep learning speech denoising methods. Speech Commun. 122: 1-10 (2020)

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Real-Time Moving Object Detection in High-Resolution Video Sensing.

Haidi Zhu, Haoran Wei, Baoqing Li, Xiaobing Yuan, Nasser Kehtarnavaz: Real-Time Moving Object Detection in High-Resolution Video Sensing. Sensors 20(12): 3591 (2020)

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C-MHAD: Continuous Multimodal Human Action Dataset of Simultaneous Video and...

Haoran Wei, Pranav Chopada, Nasser Kehtarnavaz: C-MHAD: Continuous Multimodal Human Action Dataset of Simultaneous Video and Inertial Sensing. Sensors 20(10): 2905 (2020)

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Journal of Real-Time Image Processing: third issue of volume 17.

Nasser Kehtarnavaz, Matthias F. Carlsohn: Journal of Real-Time Image Processing: third issue of volume 17. J. Real Time Image Process. 17(3): 417 (2020)

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Personalization of Hearing Aid Compression by Human-in-the-Loop Deep...

Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz: Personalization of Hearing Aid Compression by Human-in-the-Loop Deep Reinforcement Learning. IEEE Access 8: 203503-203515 (2020)

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Smartphone-Based Real-Time Digital Signal Processing, Third Edition.

Nasser Kehtarnavaz, Abhishek Sehgal, Shane Parris, Arian Azarang: Smartphone-Based Real-Time Digital Signal Processing, Third Edition. Synthesis Lectures on Signal Processing, Morgan & Claypool...

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Anywhere-Anytime Signals and Systems Laboratory: From MATLAB to Smartphones,...

Nasser Kehtarnavaz, Fatemeh Saki, Adrian Duran, Arian Azarang: Anywhere-Anytime Signals and Systems Laboratory: From MATLAB to Smartphones, Third Edition. Synthesis Lectures on Signal Processing,...

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Probabilistic Neural Network to Quantify Uncertainty of Wind Power Estimation.

Farzad Karami, Nasser Kehtarnavaz, Mario Rotea: Probabilistic Neural Network to Quantify Uncertainty of Wind Power Estimation. CoRR abs/2106.04656 (2021)

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

Sharmin Majumder, Nasser Kehtarnavaz: Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy. CoRR abs/2103.04207 (2021)

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A Review of Deep Learning-Based Contactless Heart Rate Measurement Methods.

Aoxin Ni, Arian Azarang, Nasser Kehtarnavaz: A Review of Deep Learning-Based Contactless Heart Rate Measurement Methods. Sensors 21(11): 3719 (2021)

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Journal of real-time image processing: sixth issue of volume 18.

Matthias F. Carlsohn, Nasser Kehtarnavaz: Journal of real-time image processing: sixth issue of volume 18. J. Real Time Image Process. 18(6): 1865-1866 (2021)

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Application of deep learning models in nonlinear detail map prediction in...

Arian Azarang, Nasser Kehtarnavaz: Application of deep learning models in nonlinear detail map prediction in pansharpening. J. Comput. Sci. 54: 101431 (2021)

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

Sharmin Majumder, Nasser Kehtarnavaz: Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy. IEEE Access 9: 123220-123230 (2021)

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Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches.

Arian Azarang, Nasser Kehtarnavaz: Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool...

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A Survey of Detection Methods for Die Attachment and Wire Bonding Defects in...

Lamia Alam, Nasser Kehtarnavaz: A Survey of Detection Methods for Die Attachment and Wire Bonding Defects in Integrated Circuit Manufacturing. CoRR abs/2206.07481 (2022)

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A generative model method for unsupervised multispectral image fusion in...

Arian Azarang, Nasser Kehtarnavaz: A generative model method for unsupervised multispectral image fusion in remote sensing. Signal Image Video Process. 16(1): 63-71 (2022)

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Personalization of Hearing Aid Fitting Based on Adaptive Dynamic Range...

Aoxin Ni, Sara Akbarzadeh, Edward Lobarinas, Nasser Kehtarnavaz: Personalization of Hearing Aid Fitting Based on Adaptive Dynamic Range Optimization. Sensors 22(16): 6033 (2022)

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Smartphone-Based Hearing Aid Compression and Noise Reduction.

Aoxin Ni, Nasser Kehtarnavaz: Smartphone-Based Hearing Aid Compression and Noise Reduction. Sensors 22(9): 3306 (2022)

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Image Segmentation Using Deep Learning: A Survey.

Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos: Image Segmentation Using Deep Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7):...

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Journal of Real-Time Image Processing: sixth issue of volume 19.

Nasser Kehtarnavaz: Journal of Real-Time Image Processing: sixth issue of volume 19. J. Real Time Image Process. 19(6): 1007 (2022)

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Journal of Real-Time Image Processing: first issue of volume 19.

Nasser Kehtarnavaz: Journal of Real-Time Image Processing: first issue of volume 19. J. Real Time Image Process. 19(1): 1 (2022)

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A Survey of Detection Methods for Die Attachment and Wire Bonding Defects in...

Lamia Alam, Nasser Kehtarnavaz: A Survey of Detection Methods for Die Attachment and Wire Bonding Defects in Integrated Circuit Manufacturing. IEEE Access 10: 83826-83840 (2022)

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Online Personalization of Compression in Hearing Aids via Maximum Likelihood...

Sara Akbarzadeh, Edward Lobarinas, Nasser Kehtarnavaz: Online Personalization of Compression in Hearing Aids via Maximum Likelihood Inverse Reinforcement Learning. IEEE Access 10: 58537-58546 (2022)

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Personalization of Hearing AID DSLV5 Prescription Amplification in the Field...

Aoxin Ni, Edward Lobarinas, Nasser Kehtarnavaz: Personalization of Hearing AID DSLV5 Prescription Amplification in the Field via a Real-Time Smartphone APP. DSP 2023: 1-5

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Generating Defective Epoxy Drop Images for Die Attachment in Integrated...

Lamia Alam, Nasser Kehtarnavaz: Generating Defective Epoxy Drop Images for Die Attachment in Integrated Circuit Manufacturing via Enhanced Loss Function CycleGAN. Sensors 23(10): 4864 (2023)

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Journal of Real-Time Image Processing: fifth issue of volume 20.

Nasser Kehtarnavaz: Journal of Real-Time Image Processing: fifth issue of volume 20. J. Real Time Image Process. 20(5): 87 (2023)

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Deep Learning-based Human Pose Estimation: A Survey.

Ce Zheng, Wenhan Wu, Chen Chen, Taojiannan Yang, Sijie Zhu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah: Deep Learning-based Human Pose Estimation: A Survey. ACM Comput. Surv. 56(1): 11:1-11:37 (2024)

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Improving Recognition of Defective Epoxy Images in Integrated Circuit...

Lamia Alam, Nasser Kehtarnavaz: Improving Recognition of Defective Epoxy Images in Integrated Circuit Manufacturing by Data Augmentation. Sensors 24(3): 738 (2024)

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