N. Nasrabadi

N. Nasrabadi, Annahita Amireskandari, O. Dehzangi, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gan-Based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans

N. Nasrabadi, A. Rezai, Annahita Amireskandari, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Applications of artificial neural networks in image processing VII : 24-25 January 2002, San Jose, USA

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2002 .

Applications of Artificial Neural Networks in Image Processing VII

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2002 .

Proceedings of SPIE - The International Society for Optical Engineering: Introduction

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2002 .

Applications of Artificial Neural Networks in Image Processing VIII.

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2003 .

Applications of Artificial Neural Networks in Image Processing V

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2000 .

Applications of Artificial Neural Networks in Image Processing VI

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2001 .

Erratum: (Applications of Artificial Neural Networks in Image Processing VII (24-25 January 2002))

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2002 .

Erratum: Applications of artificial neural networks in image processing III (Proceedings of SPIE: Applications of Artificial Neural Networks in Image Processing III (26-27 January 1998))

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 1998 .

Applications of Artificial Neural Networks in Image Processing III

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 1998 .

Applications of Artificial Neural Networks in Image Processing IV

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 1999 .

Kernel-Based Detection Techniques for Hyperspectral Imagery

N. Nasrabadi, 2009 .

Deep Siamese Convolutional Neural Networks for Identical Twins and Look-Alike Identification

Nasser M. Nasrabadi, Xiaoxia Sun, Amirsina Torfi, 2018 .

Robust Ensemble Morph Detection with Domain Generalization

N. Nasrabadi, Hossein Kashiani, S. Sami, 2022, 2022 IEEE International Joint Conference on Biometrics (IJCB).

Benchmarking Human Face Similarity Using Identical Twins

N. Nasrabadi, J. Dawson, S. Sami, 2022, IET Biometrics.

Human Age Estimation from Gene Expression Data using Artificial Neural Networks

Donald A. Adjeroh, Nasser M. Nasrabadi, Gianfranco Doretto, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Change-Detection Methods for Location of Mines in SAR Imagery

Heesung Kwon, Nasser M. Nasrabadi, Maria G. Tates, 2006 .

Automatic Target Detection

Nasser M. Nasrabadi, Sandor Z. Der, Alex Chan, 2015 .

Applications of Artificial Neural Networks in Image Processing

Nasser M. Nasrabadi, N. Nasrabadi, 2000 .

Hyperspectral Target Detection

Nasser M. Nasrabadi, N. Nasrabadi, 2014 .

Applications of neural networks and machine learning in image processing IX : 19-20 January 2005, San Jose, California, USA

Nasser M. Nasrabadi, Syed A. Rizvi, S. A. Rizvi, 2005 .

Identical Twins as a Facial Similarity Benchmark for Human Facial Recognition

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy M. Dawson, 2021, 2021 International Conference of the Biometrics Special Interest Group (BIOSIG).

Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning

Nasser M. Nasrabadi, Sobhan Soleymani, Fariborz Taherkhani, 2020, ECCV.

INCORPORATING FACIAL ATTRIBUTES IN CROSS-MODAL FACE VERIFICATION AND SYNTHESIS

Nasser M. Nasrabadi, Seyed Mehdi Iranmanesh, Hadi Kazemi, 2020 .

Genetic Algorithms Approach to the Channel Assignment Problem

Nasser M. Nasrabadi, Patrick W. Dowd, Jae Soo Kim, 1995 .

Applications of Neural Networks And Machine Learning in Image Processing IX (Proceedings of S P I E)

Nasser M. Nasrabadi, Syed A. Rizvi, S. A. Rizvi, 2005 .

Kernel-Based Nonlinear Subspace Target Detection for Hyperspectral Imagery

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2007 .

Image Coding Using Vector Quantization: A

Nasser M. Nasrabadi, Robert A. King, N. Nasrabadi, 1988 .

Applications of Artificial Neural Networks in Image Processing VIII (Proceedings of SPIE)

Nasser M. Nasrabadi, Aggelosk Katsaggelos, A. Katsaggelos, 2003 .

Sparsity Learning in Deep Neural Networks

Nasser M. Nasrabadi, Amirsina Torfi, Rouzbeh A. Shirvani, 2019 .

Revisiting Outer Optimization in Adversarial Training

N. Nasrabadi, Fariborz Taherkhani, Ali Dabouei, 2022, ECCV.

Information Maximization for Extreme Pose Face Recognition

N. Nasrabadi, Sobhan Soleymani, Mohammad Saeed Ebrahimi Saadabadi, 2022, 2022 IEEE International Joint Conference on Biometrics (IJCB).

MultiSDGAN: Translation of OCT Images to Superresolved Segmentation Labels Using Multi-Discriminators in Multi-Stages

N. Nasrabadi, A. Rezai, Annahita Amireskandari, 2021, IEEE Journal of Biomedical and Health Informatics.

Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory

N. Nasrabadi, P. Mehta, A. Zafari, 2022, ArXiv.

A data-driven surrogate to image-based flow simulations in porous media

N. Nasrabadi, Ali Takbiri-Borujeni, Hadi Kazemi, 2020 .

Orthogonal transforms and their application to image coding

N. M. Nasrabadi, N. Nasrabadi, 1984 .

Multimodal Task-Driven Dictionary Learning for Image Classification

Asok Ray, Nasser M. Nasrabadi, W. Kenneth Jenkins, 2015, IEEE Transactions on Image Processing.

Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition

Nasser M. Nasrabadi, Benjamin S. Riggan, Christopher Reale, 2015, IEEE Access.

Eigenspace transformation for automatic clutter rejection

Nasser M. Nasrabadi, Don Torrieri, Lipchen Alex Chan, 2001 .

Vector Quantization Of Images Based Upon A Neural-Network Clustering Algorithm

Nasser M. Nasrabadi, Yushu Feng, N. Nasrabadi, 1988, Other Conferences.

Vector quantization of images based upon the Kohonen self-organizing feature maps

Nasser M. Nasrabadi, Yushu Feng, N. Nasrabadi, 1988, IEEE 1988 International Conference on Neural Networks.

Spatial–Spectral Classification of Hyperspectral Images Using Discriminative Dictionary Designed by Learning Vector Quantization

Thomas S. Huang, Nasser M. Nasrabadi, Zhaowen Wang, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral Remote Sensing Data Analysis and Future Challenges

J. Chanussot, A. Plaza, J. M. Bioucas-Dias, 2013, IEEE Geoscience and Remote Sensing Magazine.

Kernel matched subspace detectors for hyperspectral target detection

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hyperspectral Target Detection Based on Kernels

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2006 .

Kernel Matched Signal Detectors for Hyperspectral Target Detection

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Kernel adaptive subspace detector for hyperspectral target detection

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2005, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral Target Detection Using Kernel Spectral Matched Filter

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Semi-supervised multi-sensor classification via consensus-based Multi-View Maximum Entropy Discrimination

Alfred O. Hero, Nasser M. Nasrabadi, Tianpei Xie, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Abundance Estimation for Bilinear Mixture Models via Joint Sparse and Low-Rank Representation

Trac D. Tran, Nasser M. Nasrabadi, Qing Qu, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery

Heesung Kwon, Nasser M. Nasrabadi, Sandor Z. Der, 2005 .

A self-organizing adaptive vector quantization technique

Nasser M. Nasrabadi, Yushu Feng, Chang Y. Choo, 1991, J. Vis. Commun. Image Represent..

A dynamic address-vector quantization algorithm based on inter-block and inter-color correlation for color image coding

Nasser M. Nasrabadi, Y. Feng, N. Nasrabadi, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

A new vector quantization scheme using interblock correlation: address-vector quantizer

Yushu Feng, N. M. Nasrabadi, N. Nasrabadi, 1988, IEEE Global Telecommunications Conference and Exhibition. Communications for the Information Age.

Address-Vector Quantization : An Adaptive Vector Quantization Scheme Using Interblock Correlation

Nasser M. Nasrabadi, Yushu Feng, N. Nasrabadi, 1988, Other Conferences.

Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification

Nasser M. Nasrabadi, Sobhan Soleymani, Fariborz Taherkhani, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Matrix Completion for Graph-Based Deep Semi-Supervised Learning

Nasser M. Nasrabadi, Fariborz Taherkhani, Hadi Kazemi, 2019, AAAI.

An analysis of the robustness of deep face recognition networks to noisy training labels

Rama Chellappa, Nasser M. Nasrabadi, Christopher Reale, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection

Nasser M. Nasrabadi, Amir Soleimani, N. Nasrabadi, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Hyperspectral Image Classification via Kernel Sparse Representation

Trac D. Tran, Nasser M. Nasrabadi, Yi Chen, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Application Of Multi-Channel Hough Transform To Stereo Vision

Yi Liu, Nasser M. Nasrabadi, N. Nasrabadi, 1988, Other Conferences.

Quality-Based Multimodal Classification Using Tree-Structured Sparsity

Asok Ray, Nasser M. Nasrabadi, W. Kenneth Jenkins, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Separated Component-Based Restoration of Speckled SAR Images

Rama Chellappa, Nasser M. Nasrabadi, Vishal M. Patel, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Semi-supervised Deep Domain Adaptation via Coupled Neural Networks

Yun Fu, Zhengming Ding, Nasser M. Nasrabadi, 2018, IEEE Transactions on Image Processing.

Regularization for spectral matched filter and RX anomaly detector

Nasser M. Nasrabadi, N. Nasrabadi, 2008, SPIE Defense + Commercial Sensing.

Regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery

Nasser M. Nasrabadi, N. Nasrabadi, 2007, 2007 IEEE International Conference on Image Processing.

Regularization for designing spectral matched filter target detectors

Nasser M. Nasrabadi, N. Nasrabadi, 2007, SPIE Optical Engineering + Applications.

Fingerprint Distortion Rectification Using Deep Convolutional Neural Networks

Nasser M. Nasrabadi, Seyed Mehdi Iranmanesh, Ali Dabouei, 2018, 2018 International Conference on Biometrics (ICB).

Opportunistic sensing for object recognition — A unified formulation for dynamic sensor selection and feature extraction

Jiangping Wang, Thomas S. Huang, Nasser M. Nasrabadi, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

SuperMix: Supervising the Mixing Data Augmentation

Nasser M. Nasrabadi, Sobhan Soleymani, Fariborz Taherkhani, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Object recognition using multilayer Hopfield neural network

Nasser M. Nasrabadi, Susan S. Young, Peter D. Scott, 1997, IEEE Trans. Image Process..

Large Vocabulary Recognition of On-Line Handwritten Cursive Words

Giovanni Seni, Rohini K. Srihari, Nasser M. Nasrabadi, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

Supervised Deep Sparse Coding Networks

Trac D. Tran, Nasser M. Nasrabadi, Xiaoxia Sun, 2017, 2018 25th IEEE International Conference on Image Processing (ICIP).

Integration of stereo vision and optical flow using Markov random fields

Nasser M. Nasrabadi, Sandra P. Clifford, N. Nasrabadi, 1988, IEEE 1988 International Conference on Neural Networks.

Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning pdf

Nasser M. Nasrabadi, Uche M. Osahor, Uche Osahor, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Learning to classify with possible sensor failures

Alfred O. Hero, Nasser M. Nasrabadi, Tianpei Xie, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Penalized spectral matched filter for target detection in hyperspectral imagery

Nasser M. Nasrabadi, N. Nasrabadi, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2007, EURASIP J. Adv. Signal Process..

Kernel Spectral Matched Filter for Hyperspectral Imagery

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2007, International Journal of Computer Vision.

Kernel adaptive subspace detector for hyperspectral imagery

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2006, IEEE Geoscience and Remote Sensing Letters.

Deep adversarial attack on target detection systems

Uche M. Osahor, Nasser M. Nasrabadi, N. Nasrabadi, 2019, Defense + Commercial Sensing.

A stereo vision technique using curve-segments and relaxation matching

Nasser M. Nasrabadi, Jen-Lai Chiang, N. Nasrabadi, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

Fusion of FLIR automatic target recognition algorithms

Nasser M. Nasrabadi, Syed A. Rizvi, N. Nasrabadi, 2003, Inf. Fusion.

Close the loop: Joint blind image restoration and recognition with sparse representation prior

Thomas S. Huang, Nasser M. Nasrabadi, Yanning Zhang, 2011, 2011 International Conference on Computer Vision.

Hyperspectral Image Classification Using Dictionary-Based Sparse Representation

Trac D. Tran, Nasser M. Nasrabadi, Yi Chen, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Exploiting Joint Robustness to Adversarial Perturbations

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Morph Detection Enhanced by Structured Group Sparsity pdf

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).

Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition

Nasser M. Nasrabadi, Jeremy Dawson, Moktari Mostofa, 2021, IEEE Transactions on Biometrics, Behavior, and Identity Science.

Attention Augmented Face Morph Detection

N. Nasrabadi, J. Dawson, Sobhan Soleymani, 2023, IEEE Access.

Attention Aware Wavelet-based Detection of Morphed Face Images

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, 2021, 2021 IEEE International Joint Conference on Biometrics (IJCB).

Differential Morphed Face Detection Using Deep Siamese Networks pdf

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, 2020, ICPR Workshops.

Differential Morph Face Detection using Discriminative Wavelet Sub-bands

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, 2021, 2021 IEEE International Workshop on Biometrics and Forensics (IWBF).

Mutual Information Maximization on Disentangled Representations for Differential Morph Detection pdf

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Advances in residual vector quantization: a review

Syed A. Rizvi, C F Barnes, S A Rizvi, 1996, IEEE Trans. Image Process..

Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network

Nasser M. Nasrabadi, Benjamin S. Riggan, Moktari Mostofa, 2020, IEEE Access.

Visible-to-Thermal Transfer Learning for Facial Landmark Detection

Nasser M. Nasrabadi, Benjamin S. Riggan, Shuowen Hu, 2021, IEEE Access.

3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition

Amirsina Torfi, Seyed Mehdi Iranmanesh, Jeremy Dawson, 2017, IEEE Access.

Style and Content Disentanglement in Generative Adversarial Networks

Nasser M. Nasrabadi, Seyed Mehdi Iranmanesh, Hadi Kazemi, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

An efficient Euclidean distance computation for vector quantization using a truncated look-up table

Nasser M. Nasrabadi, Syed A. Rizvi, N. Nasrabadi, 1995, IEEE Trans. Circuits Syst. Video Technol..

Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition

Rama Chellappa, Heesung Kwon, Nasser M. Nasrabadi, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Automatic target recognition using vector quantization and neural networks

Nasser M. Nasrabadi, Lipchen Alex Chan, N. Nasrabadi, 1999 .

Joint Super-Resolution and Head Pose Estimation for Extreme Low-Resolution Faces

N. Nasrabadi, Sobhan Soleymani, Mohammad Saeed Ebrahimi Saadabadi, 2023, IEEE Access.

Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification

Nasser M. Nasrabadi, Sobhan Soleymani, Ali Dabouei, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Joint Sparse Representation for Robust Multimodal Biometrics Recognition

Rama Chellappa, Nasser M. Nasrabadi, Vishal M. Patel, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset pdf

Vishal M. Patel, Benjamin S. Riggan, Shuowen Hu, 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound

Nasser M. Nasrabadi, Sobhan Soleymani, Seyed Mehdi Iranmanesh, 2018, NeurIPS.

SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Deep Sparse Band Selection for Hyperspectral Face Recognition pdf

Nasser M. Nasrabadi, Fariborz Taherkhani, Jeremy M. Dawson, 2019, Hyperspectral Image Analysis.

Invariant object recognition based on a neural network of cascaded RCE nets

Nasser M. Nasrabadi, Wei Li, N. Nasrabadi, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Integration of stereo vision and optical flow by using an energy-minimization approach

Yi Liu, Sandra P. Clifford, Nasser M. Nasrabadi, 1989 .

Hopfield network for stereo vision correspondence

Nasser M. Nasrabadi, Chang Y. Choo, N. Nasrabadi, 1992, IEEE Trans. Neural Networks.

Stereo vision correspondence using a multichannel graph matching technique

Yi Liu, Nasser M. Nasrabadi, Jen-hi Chiang, 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

Comparison of two optimization techniques for channel assignment in cellular radio network

Jae-Soo Kim, P.W. Dowd, N.M. Nasrabadi, 1995, Proceedings IEEE International Conference on Communications ICC '95.

Graph-Based Sensor Fusion for Classification of Transient Acoustic Signals

Nasser M. Nasrabadi, Vishal Monga, Umamahesh Srinivas, 2015, IEEE Transactions on Cybernetics.

Graph-based multi-sensor fusion for acoustic signal classification

Nasser M. Nasrabadi, Vishal Monga, Umamahesh Srinivas, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multi-View Automatic Target Recognition using Joint Sparse Representation

Thomas S. Huang, Nasser M. Nasrabadi, Yanning Zhang, 2012, IEEE Transactions on Aerospace and Electronic Systems.

Predictive vector quantization using a neural network approach

Nasser M. Nasrabadi, Syed A. Rizvi, Nader Mohsenian, 1993 .

Automated Hyperspectral Cueing for Civilian Search and Rescue

Nasser M. Nasrabadi, Alan D. Stocker, Michael T. Eismann, 2009, Proceedings of the IEEE.

Wavelet-RX anomaly detection for dual-band forward-looking infrared imagery.

Asif Mehmood, Nasser M Nasrabadi, N. Nasrabadi, 2010, Applied optics.

Design of Non-Linear Kernel Dictionaries for Object Recognition

Rama Chellappa, Nasser M. Nasrabadi, Vishal M. Patel, 2013, IEEE Transactions on Image Processing.

A data-driven proxy to Stoke's flow in porous media pdf

Nasser M. Nasrabadi, Hadi Kazemi, Ali Takbiri-Borujeni, 2019, ArXiv.

Higher-order zero crossings for HSI ATD

Dalton Rosario, Nasser M. Nasrabadi, N. Nasrabadi, 2003, SPIE Defense + Commercial Sensing.

Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models

Trac D. Tran, Nasser M. Nasrabadi, Vishal Monga, 2013, IEEE Geoscience and Remote Sensing Letters.

Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition pdf

Matthew C. Valenti, Nasser M. Nasrabadi, Veeru Talreja, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Edge-based subband VQ techniques for images and video

Nasser M. Nasrabadi, Nader Mohsenian, N. Nasrabadi, 1994, IEEE Trans. Circuits Syst. Video Technol..

A new transform domain vector quantization technique for image data compression in an asynchronous transfer mode network

Nasser M. Nasrabadi, Peter P. Polit, N. Nasrabadi, 1991, [1991] Proceedings. Data Compression Conference.

Supervised Deep Sparse Coding Networks for Image Classification

Xiaoxia Sun, Nasser M Nasrabadi, Trac D Tran, 2020, IEEE Transactions on Image Processing.

Performance comparison of feature extraction algorithms for target detection and classification

Asok Ray, Nasser M. Nasrabadi, Soheil Bahrampour, 2013, Pattern Recognit. Lett..

Sparse Representation for Target Detection in Hyperspectral Imagery

Trac D. Tran, Nasser M. Nasrabadi, Yi Chen, 2011, IEEE Journal of Selected Topics in Signal Processing.

Hyperspectral target detection using kernel orthogonal subspace projection

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2005, IEEE International Conference on Image Processing 2005.

Regularized Spectral Matched Filter for Target Recognition in Hyperspectral Imagery

Nasser M. Nasrabadi, N. Nasrabadi, 2008, IEEE Signal Processing Letters.

Simultaneous Joint Sparsity Model for Target Detection in Hyperspectral Imagery

Trac D. Tran, Nasser M. Nasrabadi, Yi Chen, 2011, IEEE Geoscience and Remote Sensing Letters.

A nonlinear kernel-based joint fusion/detection of anomalies using Hyperspectral and SAR imagery

Nasser M. Nasrabadi, N. Nasrabadi, 2008, 2008 15th IEEE International Conference on Image Processing.

Adaptive anomaly detection using subspace separation for hyperspectral imagery

Heesung Kwon, Nasser M. Nasrabadi, Sandor Z. Der, 2003 .

OCT Image Segmentation Using Neural Architecture Search and SRGAN

Nasser M. Nasrabadi, Omid Dehzangi, Saba Heidari Gheshlaghi, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Efficient Oct Image Segmentation Using Neural Architecture Search

Omid Dehzangi, Ali Dabouei, Ali Rezai, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory

N. Nasrabadi, P. Mehta, A. Zafari, 2022, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).

Robust multi-sensor classification via joint sparse representation

Trac D. Tran, Nasser M. Nasrabadi, Nam H. Nguyen, 2011, 14th International Conference on Information Fusion.

Fast Geometrically-Perturbed Adversarial Faces

Nasser M. Nasrabadi, Sobhan Soleymani, Ali Dabouei, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Deep Coupled GAN-Based Score-Level Fusion for Multi-Finger Contact to Contactless Fingerprint Matching

N. Nasrabadi, J. Dawson, M. Hasan, 2022, 2022 International Conference of the Biometrics Special Interest Group (BIOSIG).

Interoperability of Contact and Contactless Fingerprints Across Multiple Fingerprint Sensors

N. Nasrabadi, J. Dawson, J. Dando, 2021, Biometrics and Electronic Signatures.

Investigating the impact of demographic factors on contactless fingerprints interoperability

N. Nasrabadi, J. Dawson, Aeddon Berti, 2022, 2022 International Conference of the Biometrics Special Interest Group (BIOSIG).

Deep Contactless Fingerprint Unwarping

Sobhan Soleymani, Jeremy Dawson, Ali Dabouei, 2019, 2019 International Conference on Biometrics (ICB).

Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification

Trac D. Tran, Nasser M. Nasrabadi, Xiaoxia Sun, 2014, IEEE Geoscience and Remote Sensing Letters.

Facial Attributes Guided Deep Sketch-to-Photo Synthesis

Nasser M. Nasrabadi, Sobhan Soleymani, Seyed Mehdi Iranmanesh, 2018, 2018 IEEE Winter Applications of Computer Vision Workshops (WACVW).

Deep Hashing for Secure Multimodal Biometrics

Matthew C. Valenti, Nasser M. Nasrabadi, Veeru Talreja, 2020, IEEE Transactions on Information Forensics and Security.

Object-based SAR image compression using vector quantization

Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi, 2000, IEEE Trans. Aerosp. Electron. Syst..

Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition

Fariborz Taherkhani, Veeru Talreja, Nasser M Nasrabadi, 2019, 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Adversarial Examples to Fool Iris Recognition Systems

Nasser M. Nasrabadi, Sobhan Soleymani, Ali Dabouei, 2019, 2019 International Conference on Biometrics (ICB).

Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction pdf

Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, 2021, ArXiv.

Face Image Quality Vector Assessment for Biometrics Applications

Mohammad Saeed Ebrahimi Saadabadi, N. Nasrabadi, Hossein Kashiani, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).

DeepTarget: An Automatic Target Recognition Using Deep Convolutional Neural Networks

Nasser M. Nasrabadi, N. Nasrabadi, 2019, IEEE Transactions on Aerospace and Electronic Systems.

Automatic target recognition using deep convolutional neural networks

Nasser M. Nasrabadi, Hadi Kazemi, Mehdi Iranmanesh, 2018, Defense + Security.

Sparsity-motivated automatic target recognition.

Rama Chellappa, Vishal M. Patel, Vishal M Patel, 2011, Applied optics.

A committee of networks classifier with multi-resolution feature extraction for automatic target recognition

Nasser M. Nasrabadi, Lin-Cheng Wang, S. Der, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Multi-stage target recognition using modular vector quantizers and multilayer perceptrons

Nasser M. Nasrabadi, Vincent Mirelli, LipChen Alex Chan, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Hyperspectral Image Classification Using Dictionary-Based Sparse Representation

N. Nasrabadi, T. Tran, Yi Chen, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Pose Attention-Guided Profile-to-Frontal Face Recognition

N. Nasrabadi, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, 2022, 2022 IEEE International Joint Conference on Biometrics (IJCB).

Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction

Rama Chellappa, Nasser M. Nasrabadi, Vishal M. Patel, 2012, ECCV.

Text-Guided Sketch-to-Photo Image Synthesis

Uche M. Osahor, N. Nasrabadi, 2022, IEEE Access.

FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network

Nasser M. Nasrabadi, Jeremy Dawson, Ali Dabouei, 2021, 2021 IEEE International Joint Conference on Biometrics (IJCB).

Multi-observation visual recognition via joint dynamic sparse representation

Thomas S. Huang, Nasser M. Nasrabadi, Yanning Zhang, 2011, 2011 International Conference on Computer Vision.

Coupled generative adversarial network for heterogeneous face recognition

Nasser M. Nasrabadi, Benjamin S. Riggan, Seyed Mehdi Iranmanesh, 2020, Image Vis. Comput..

Kernel sparse representation for hyperspectral target detection

Trac D. Tran, Yi Chen, Nasser M. Nasrabadi, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Effects of random measurements on the performance of target detection in hyperspectral imagery

Trac D. Tran, Yi Chen, Nasser M. Nasrabadi, 2011, Defense + Commercial Sensing.

Classification for hyperspectral imagery based on sparse representation

Trac D. Tran, Nasser M. Nasrabadi, Yi Chen, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Effects of linear projections on the performance of target detection and classification in hyperspectral imagery

Trac D. Tran, Yi Chen, Nasser M. Nasrabadi, 2011 .

Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation

N. Nasrabadi, M. Hasan, 2023, ArXiv.

GAN-based Hyperspectral Anomaly Detection

Nasser M. Nasrabadi, Koray Kayabol, Sertac Arisoy, 2020, 2020 28th European Signal Processing Conference (EUSIPCO).

Submitted to Ieee Transactions on Signal Processing 1 Collaborative Multi-sensor Classification via Sparsity-based Representation

Nam H. Nguyen, N. Nasrabadi, T. Tran, 2022 .

Kernel task-driven dictionary learning for hyperspectral image classification

Asok Ray, Nasser M. Nasrabadi, W. Kenneth Jenkins, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sparsity-based fusion of multiple sensors and multiple features for acoustic transients classification

Nasser M. Nasrabadi, Minh Dao, Tung-Duong Tran-Luu, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Multi-sensor classification via sparsity-based representation with low-rank interference

Trac D. Tran, Nasser M. Nasrabadi, Minh Dao, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint dynamic sparse representation for multi-view face recognition

Thomas S. Huang, Nasser M. Nasrabadi, Yanning Zhang, 2012, Pattern Recognit..

Identity-Aware Deep Face Hallucination via Adversarial Face Verification

Nasser M. Nasrabadi, Fariborz Taherkhani, Hadi Kazemi, 2019, 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Unsupervised Facial Geometry Learning for Sketch to Photo Synthesis

Nasser M. Nasrabadi, Fariborz Taherkhani, Hadi Kazemi, 2018, 2018 International Conference of the Biometrics Special Interest Group (BIOSIG).

Defending Against Adversarial Iris Examples UsingWavelet Decomposition

Nasser M. Nasrabadi, Sobhan Soleymani, Ali Dabouei, 2019, 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS).

USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL

Matthew C. Valenti, Nasser M. Nasrabadi, Fariborz Taherkhani, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification

Nasser M. Nasrabadi, Sobhan Soleymani, Seyed Mehdi Iranmanesh, 2018, 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS).

A Deep Face Identification Network Enhanced by Facial Attributes Prediction

Nasser M. Nasrabadi, Fariborz Taherkhani, Jeremy M. Dawson, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Multibiometric secure system based on deep learning

Matthew C. Valenti, Nasser M. Nasrabadi, Veeru Talreja, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Semisupervised Hyperspectral Classification Using Task-Driven Dictionary Learning With Laplacian Regularization

Thomas S. Huang, Nasser M. Nasrabadi, Zhangyang Wang, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Task-Driven Dictionary Learning for Hyperspectral Image Classification With Structured Sparsity Constraints

Trac D. Tran, Nasser M. Nasrabadi, Xiaoxia Sun, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Task-driven dictionary learning for hyperspectral image classification with structured sparsity priors

Trac D. Tran, Nasser M. Nasrabadi, Xiaoxia Sun, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

A Quality Aware Sample-to-Sample Comparison for Face Recognition

N. Nasrabadi, A. Zafari, Mohammad Saeed Ebrahimi Saadabadi, 2023, IEEE Workshop/Winter Conference on Applications of Computer Vision.

Hyperspectral Band Selection for Face Recognition Based on a Structurally Sparsified Deep Convolutional Neural Networks

Jeremy Dawson, Fariborz Taherkhani, Nasser M. Nasrabadi, 2019, 2019 International Conference on Biometrics (ICB).

Multi-view face recognition via joint dynamic sparse representation

Thomas S. Huang, Nasser M. Nasrabadi, Yanning Zhang, 2011, 2011 18th IEEE International Conference on Image Processing.

Sparse representation for time-series classification

Asok Ray, Nasser M. Nasrabadi, Soheil Bahrampour, 2015 .

A hashing-based scheme for organizing vector quantization codebook

E. Kristenson, N.M. Nasrabadi, C.Y. Choo, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Towards Generalizable Morph Attack Detection with Consistency Regularization

N. Nasrabadi, Mohammad Saeed Ebrahimi Saadabadi, Hossein Kashiani, 2023, ArXiv.

CCFace: Classification Consistency for Low-Resolution Face Recognition

N. Nasrabadi, Hossein Kashiani, Mohammad Saeed Ebrahimi Saadabadi, 2023, ArXiv.

Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting

N. Nasrabadi, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, 2023, ArXiv.

Text-Independent Speaker Verification Using 3D Convolutional Neural Networks

Nasser M. Nasrabadi, Amirsina Torfi, Jeremy M. Dawson, 2017, 2018 IEEE International Conference on Multimedia and Expo (ICME).

Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval

Matthew C. Valenti, Nasser M. Nasrabadi, Fariborz Taherkhani, 2020, IEEE Transactions on Biometrics, Behavior, and Identity Science.

A modified Hopfield network approach for cellular radio channel assignment

Nasser M. Nasrabadi, Jae-Soo Kim, P. W. Dowd, 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

Zero-Shot Deep Hashing and Neural Network Based Error Correction for Face Template Protection

Matthew C. Valenti, Nasser M. Nasrabadi, Veeru Talreja, 2019, 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Preference-Based Image Generation

Fariborz Taherkhani, Nasser M. Nasrabadi, Hadi Kazemi, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Separated Component-Based Restoration of Speckled SAR Images

Vishal M. Patel, R. Chellappa, N. Nasrabadi, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Deep Sketch-Photo Face Recognition Assisted by Facial Attributes

Nasser M. Nasrabadi, Sobhan Soleymani, Seyed Mehdi Iranmanesh, 2018, 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Object recognition by a Hopfield neural network

Nasser M. Nasrabadi, Chang Y. Choo, Wei Li, 1990, [1990] Proceedings Third International Conference on Computer Vision.

Joint Sparsity-Based Robust Multimodal Biometrics Recognition

Rama Chellappa, Nasser M. Nasrabadi, Vishal M. Patel, 2012, ECCV Workshops.

A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision

Nasser M. Nasrabadi, Jeremy Dawson, Fariborz Taherkhani, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Multi-sensor joint kernel sparse representation for personnel detection

Trac D. Tran, Nasser M. Nasrabadi, Nam H. Nguyen, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Subspace Vertex Pursuit: A Fast and Robust Near-Separable Nonnegative Matrix Factorization Method for Hyperspectral Unmixing

Trac D. Tran, Nasser M. Nasrabadi, Qing Qu, 2015, IEEE Journal of Selected Topics in Signal Processing.

Context-Aware Neural Video Compression on Solar Dynamics Observatory

N. Nasrabadi, P. Mehta, Atefeh Khoshkhahtinat, 2023, 2023 International Conference on Machine Learning and Applications (ICMLA).

Landmark Enforcement and Style Manipulation for Generative Morphing

N. Nasrabadi, Sobhan Soleymani, Samuel Price, 2022, 2022 IEEE International Joint Conference on Biometrics (IJCB).

Coupled 3D Convolutional Neural Networks for Audio-Visual Recognition pdf

Nasser M. Nasrabadi, Amirsina Torfi, Seyed Mehdi Iranmanesh, 2017, ArXiv.

Cross Audio-Visual Recognition in the Wild Using Deep Learning

Nasser M. Nasrabadi, Amirsina Torfi, Seyed Mehdi Iranmanesh, 2017 .

Cross Audio-Visual Speaker Identification in the Wild Using Deep Learning

Nasser M. Nasrabadi, Amirsina Torfi, Seyed Mehdi Iranmanesh, 2017 .

Detection and Statistical Modeling of Birth-Death Anomaly

Farhang Yeganegi, Salman Mohamadi, Nasser M Nasrabadi, 2019, 1906.11788.

Multi-Context Dual Hyper-Prior Neural Image Compression

N. Nasrabadi, P. Mehta, Hossein Kashiani, 2023, 2023 International Conference on Machine Learning and Applications (ICMLA).

Multi-Spectral Entropy Constrained Neural Compression of Solar Imagery

N. Nasrabadi, P. Mehta, Atefeh Khoshkhahtinat, 2023, 2023 International Conference on Machine Learning and Applications (ICMLA).

An admission control framework to support media-streaming over packet-switched networks

Nasser M. Nasrabadi, Mahesh Venkatraman, N. Nasrabadi, 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

The Use of Artificial Neural Networks for Automatic Target Recognition

Nasser M. Nasrabadi, Sandor Z. Der, Lin-Cheng Wang, 2000 .

Supervised Multilayer Sparse Coding Networks for Image Classification pdf

Trac D. Tran, Nasser M. Nasrabadi, Xiaoxia Sun, 2017, ArXiv.

Invariant hierarchical sparse coding for object recognition via bags of atoms

Trac D. Tran, Nasser M. Nasrabadi, Xiaoxia Sun, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Deep transfer learning for automatic target classification: MWIR to LWIR

Yun Fu, Nasser M. Nasrabadi, Zhengming Ding, 2016, SPIE Defense + Security.

Task-driven deep transfer learning for image classification

Yun Fu, Nasser M. Nasrabadi, Zhengming Ding, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sparse coding with fast image alignment via large displacement optical flow

Trac D. Tran, Nasser M. Nasrabadi, Xiaoxia Sun, 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Task-driven dictionary learning with different Laplacian priors for hyperspectral image classification

Nasser M. Nasrabadi, Boyu Lu, N. Nasrabadi, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Multichannel transient acoustic signal classification using task-driven dictionary with joint sparsity and beamforming

Mark Hasegawa-Johnson, Nasser M. Nasrabadi, Yang Zhang, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Max-Margin Perspective on Sparse Representation-Based Classification

Thomas S. Huang, Nasser M. Nasrabadi, Zhaowen Wang, 2013, 2013 IEEE International Conference on Computer Vision.

Discriminative and compact dictionary design for Hyperspectral Image classification using learning VQ framework

Thomas S. Huang, Nasser M. Nasrabadi, Zhaowen Wang, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Juvenile Morph Dataset: A Study of Attack Detectability and Recognition Vulnerability

N. Nasrabadi, Sobhan Soleymani, Kelsey O'Haire, 2022, 2022 IEEE International Symposium on Technologies for Homeland Security (HST).

Channel assignment in cellular radio using genetic algorithms

Nasser M. Nasrabadi, Patrick W. Dowd, Jae-Soo Kim, 1996, Wirel. Pers. Commun..

Use of hyperspectral imagery for material classification in outdoor scenes

Heesung Kwon, Hyeonjoon Moon, Nasser M. Nasrabadi, 1999, Optics + Photonics.

Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis

N. Nasrabadi, P. Mehta, Atefeh Khoshkhahtinat, 2024, 2403.16258.

Matching Distributions via Optimal Transport for Semi-Supervised Learning pdf

Nasser M. Nasrabadi, Jeremy Dawson, Fariborz Taherkhani, 2019, ArXiv.

Learning to Authenticate with Deep Multibiometric Hashing and Neural Network Decoding

Matthew C. Valenti, Nasser M. Nasrabadi, Sobhan Soleymani, 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

Frequency Disentangled Features in Neural Image Compression

N. Nasrabadi, P. Mehta, A. Zafari, 2023, 2023 IEEE International Conference on Image Processing (ICIP).

Unsupervised Pixel-Wise Hyperspectral Anomaly Detection via Autoencoding Adversarial Networks

Nasser M. Nasrabadi, Koray Kayabol, Sertac Arisoy, 2021, IEEE Geoscience and Remote Sensing Letters.

Trading-Off Mutual Information on Feature Aggregation for Face Recognition

N. Nasrabadi, Mohammad Akyash, Ali Zafari, 2023, 2023 International Conference on Machine Learning and Applications (ICMLA).

Hyperspectral anomaly detection using kernel RX-algorithm

Heesung Kwon, Nasser M. Nasrabadi, N. Nasrabadi, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Collaborative Multi-Sensor Classification Via Sparsity-Based Representation

Trac D. Tran, Nasser M. Nasrabadi, Minh Dao, 2014, IEEE Transactions on Signal Processing.

Deep transductive transfer learning for automatic target recognition

N. Nasrabadi, S. Sami, R. Rao, 2023, Defense + Commercial Sensing.

Image compression using address-vector quantization

Nasser M. Nasrabadi, Yushu Feng, N. Nasrabadi, 1990, IEEE Trans. Commun..

GASL: Guided Attention for Sparsity Learning in Deep Neural Networks pdf

Nasser M. Nasrabadi, Amirsina Torfi, Rouzbeh A. Shirvani, 2019, ArXiv.

Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery

Heesung Kwon, Nasser M. Nasrabadi, Sandor Z. Der, 2000, IS&T/SPIE Electronic Imaging.

Quality Guided Sketch-to-Photo Image Synthesis

Ali Dabouei, Hadi Kazemi, Uche M. Osahor, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).