Nasser M. Nasrabadi is a professor in the Whiting School of Engineering at Johns Hopkins University. Nasrabadi’s research and teaching interests are in machine learning, deep neural networks, image processing, computer vision, biometrics, and sparsity theory. He received his B.S. and Ph.D. in electrical engineering from Imperial College of Science and Technology (University of London), London, England, in July 1980 and October 1984, respectively. He previously worked as a member of the technical staff at Philips Research Laboratory in N.Y., as an assistant professor in the Department of Electrical Engineering at Worcester Polytechnic Institute, as an associate professor in the Department of Electrical and Computer Engineering at the University at Buffalo, as a senior research scientist (ST) at the U.S. Army Research Laboratory, and as a full professor in the Department of Computer Science and Electrical Engineering at West Virginia University. Nasrabadi has been an associate editor for IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Transactions on Neural Networks. At WVU, he founded the Biometrics & Identity Innovation Center (BIIC) and served as the Cognitive Computing Laboratory (CCL) director. He is also the Site Director for the NSF I/UCRC Center for Identification Technology Research (CITeR). His current research interests include deep learning, statistical machine learning, image processing, computer vision, biometrics, sparsity, robotics, and neural network applications in image processing. He is a Fellow of IEEE and SPIE.

Personal Webpage: https://nassernasrabadi.wixsite.com/mysite 

Research Interests:

Machine Learning

Deep Learning

Computer Vision

Image Processing

Biometrics

Teaching Interests:

Neural Networks

Image Processing

Machine Learning

Professional Societies:

IEEE Fellow (2001)

SPIE Fellow (1997)

ARL Fellow (1999)

Publications:​

https://scholar.google.com/citations?user=PNhUilMAAAAJ&hl=en

www.researchgate.net/profile/NM_Nasrabadidblp.uni-trier.de/pers/hd/n/Nasrabadi:Nasser_M=

Perspective STUDENTS:

I am currently looking for highly motivated PhD students interested in deep learning, machine learning, computer vision, and biometrics. If you would like to join my group, please send me an email:

[email protected]

[email protected] 

Students who use government support to study in the US can get a tuition waiver at WVU. Please contact me if you are interested in researching computer vision, biometrics, deep learning, machine learning, or image processing.

Education History

  • Electrical and Computer Engineering Computer Engineering, Impererial College
  • Ph.D Electrical and Computer Engineering, Imerial College

Work Experience

Adjunct Professor, JHU Whiting School of Engineering

Publications

REFEREED JOURNAL:

Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva, “Neural-based Video Compression on Solar Dynamics Observatory Images,” in IEEE Transactions on Aerospace and Electronic Systems, 2024, doi: 10.1109/TAES.2024.3409524.

Niloufar Alipour Talemi, Hossein Kashiani, Nasser M Nasrabadi, “CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 6, no. 1, pp. 132-146, Jan. 2024, Doi: 10.1109/TBIOM.2023.3349218.

Shoaib M. Sami, Md Mahedi Hasan, Nasser M. Nasrabadi and Rahguveer Rao, “Contrastive Learning and Cycle Consistency-Based Transductive Transfer Learning for Target Annotation,” in IEEE Transactions on Aerospace and Electronic Systems, vol. 60, no. 2, pp. 1628-1646, April 2024. DOI: 10.1109/TAES.2023.3337768.

Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda, Piyush M. Mehta, Nasser M. Nasrabadi, Laura E. Boucheron, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva, “Neural-based Compression Scheme for Solar Image Data,” in IEEE Transactions on Aerospace and Electronic Systems, vol. 60, Issue 1, pp. 918-933, Feb. 2024. DOI: 10.1109/TAES.2023.3332056, Print ISSN:0018-9251, Online ISSN: 1557-9603.

Domenick Poster, Shuowen Hu, Nasser M. Nasrabadi,” Long-Range Thermal Target Detection in Data-Limited Settings Using Restricted Receptive Fields,” Sensors, Vol. 23, Issue 18, Sept. 11, 2023. MDPI, https://doi.org/10.3390/s23187806

Amol S Joshi, Ali Dabouei, Jeremy Dawson, Nasser M Nasrabadi,”Fingerphoto Deblurring Using Attention-guided Multi-stage GAN,” in IEEE Access, 10.1109/ACCESS.2023.3301467.

Md Mahedi Hasan, Nasser M. Nasrabadi, Jeremy Dawson, “On Improving Interoperability for Cross-Domain Multi-Finger Fingerprint Matching Using Coupled Adversarial Learning,” in IET Biometrics, August 2023. (manuscript #: BMT-2023-03-0024.R1)

Poorya Aghdaie, Sobhan Soleymani, Nasser M. Nasrabadi and Jeremy Dawson, “Attention Augmented Face Morph Detection,” in IEEE Access, vol. 11, pp. 24281-24298, 2023, doi: 10.1109/ACCESS.2023.3254539.

Sahar R. Malakshan, Mohammad S. E. Saadabadi, Moktari Mostofa, Sobhan Soleymani and Nasser M. Nasrabadi, “Joint Super-Resolution and Head Pose Estimation for Extreme Low-Resolution Faces,” in IEEE Access, vol. 11, pp. 11238-11253, 2023, doi: 10.1109/ACCESS.2023.3241606.

Uche Osahor, Nasser M Nasrabadi, “Text-Guided Sketch-to-Photo Image Synthesis”, in IEEE Access, vol. 10, pp. 98278-98289, 2022, doi: 10.1109/ACCESS.2022.3206771, Oct., 15, 2022.

Shoaib Meraj Sami, John McCauley, Sobhan Soleymani, Nasser Nasrabadi, Jeremy Dawson, “Benchmarking Human Face Similarity Using Identical Twins,” IET Biometrics, pp.1-17, Aug. 5, 2022. http://doi.org/10.1049/bme2.12090.

Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson, Matthew C. Valenti, Nasser M. Nasrabadi, “Profile to Frontal Face Recognition in the Wild Using Coupled Conditional Generative Adversarial Network,” IET Biometrics, pp.1-17, August 10, 2022. http://doi.org/10.1049/bme2.12069.

Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Seyed-Mehdi Iranmanesh, Jeremy Dawson and Nasser M. Nasrabadi, “Quality-Aware Multimodal Biometric Recognition,” in IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 4, no. 1, pp. 97-116, Jan. 2022.

Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi, “MultiSDGAN: Translation of OCT Images to Superresolved Segmentation Labels Using Multi-Discriminators in Multi-Stages,” IEEE Journal of Biomedical and Health Informatics, Vol. 26, No. 4, April 2022.

Sertac Arisoy, Nasser M. Nasrabadi, and Koray Kayabol “Unsupervised Pixel-wise Hyperspectral Anomaly Detection via Autoencoding Adversarial Networks,” IEEE Geoscience and Remote Sensing Letters, vol. 19, no. 0, pp 1-5, January 20, 2022. doi: 10.1109/LGRS.2021.3049711

Moktari Mostofa, Salman Mohamadi, Jeremy Dawson, Nasser M. Nasrabadi, “Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 3, no. 4, pp. 443-463, October 01, 2021.

Domenick D. Poster, Shuowen Hu, Nathan J. Short, Benjamin S. Riggan, and Nasser M. Nasrabadi, “Visible-to-Thermal Transfer Learning for Facial Landmark Detection,” IEEE Access, vol. 8, issue 1, pp. 82306-82319, Dec. 2021.
18. Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi, “HGAN: Hybrid Generative Adversarial Network,” Journal of Intelligent & Fuzzy Systems, Vol. 41-1, Feb. 2021.

Veeru Talreja, Matthew Valenti, and Nasser Nasrabadi, “Deep Hashing for Secure Multimodal Biometrics,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1306-1321, Oct. 22, 2021. 10.1109/TIFS.2020.3033189

Moktari Mostofa, Syeda Nyma Ferdous, Benjamin S. Riggan, and Nasser M. Nasrabadi, “Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network,” IEEE Access, vol. 8, issue 1, pp. 82306-82319, Dec. 2020.

Fariborz Taherkhani, Veeru Talreja, Matthew Valenti, and Nasser M. Nasrabadi, “Error Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 2, no. 3, July 2020.

Seyed Mehdi Iranmanesh, Benjamin Riggan, Shuowen Hu, Nasser M. Nasrabadi, “Coupled Generative Adversarial Network for Heterogeneous Face Recognition,” Image and Vision Computing, vol. 94, February 2020.

Ali Takbiri-Borujeni, Hadi Kazemi, Nasser Nasrabadi, “A Data-driven Surrogate to Image-based Flow Simulations in Porous Media,” Computers & Fluids, Volume 201, 15 April 2020, 104475, https://doi.org/10.1016/j.compfluid.2020.104475.

Xiaoxia Sun, Nasser M. Nasrabadi and Trac D. Tran, “Supervised Deep Sparse Coding Networks for Image Classification,” IEEE Trans. on Image Processing, vol. 29, no. 7, pp. 405-418, July 17, 2020. DOI: 10.1109/TIP.2019.2928121

Nasser M. Nasrabadi, “Deep Target: An Automatic Target Recognition Using Deep Convolutional Neural Networks,” IEEE Transactions on Aerospace and Electronic Systems, vol. 55, no. 6, pp. 2687-2697, Dec. 2019. DOI: 10.1109/TAES.2019.2894050

Zhangming Ding, Nasser M. Nasrabadi, Yun Fu, “Semi-supervised Task-driven Deep Transfer Learning via Coupled Neural Networks,” IEEE Transaction on Image Processing Neural, vol. 27, issue 11, pp. 5214-5224, June 2018.

Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III, “Learning to Classify with Possible Sensor Failures,” IEEE Transactions on Signal Processing, vol. 65, no.4, pp. 836-849, 2017.

A Torfi, SM Iranmanesh, N M. Nasrabadi, J Dawson, “3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition,” IEEE Access, vol. 5, pp. 22081-22091, 2017.

Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III, “Learning to Classify with Possible Sensor Failures,” IEEE Transactions on Signal Processing, vol. 65, no.4, pp. 836-849, 2017.

Minh Dao, Nam Nguyen, Nasser M. Nasrabadi, Trac D. Tran, “Multi-Sensor Classification via Joint Sparse Representation for discriminating between human and animal footsteps,” IEEE Transactions on Signal Processing, vol. 64, no. 9, pp. 2400-2415, May 2016.

Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, Kenneth W. Jenkins, “Multimodal Task-Driven Dictionary Learning,” IEEE Transactions on Image Processing, vol. 25, no. 1, pp. 24-38 Jan. 2016.

Benjamin S. Riggan, Christopher Reale, Nasser M. Nasrabadi, “Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition,” IEEE Access, vol. 3, pp. 1620-1632, Oct. 2015.

Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Subspace Vertex Pursuit: A Fast and Robust Near-Separable Nonnegative Matrix Factorization Method for Hyperspectral Unmixing,” IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 6, pp. 1142-1155, Sept. 2015.

Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Task-driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Priors,” IEEE Trans. On Geoscience and Remote Sensing, vol. 53, no. 8, pp. 4457-4471, Aug. 2015

Zhangyang Wang, Nasser M. Nasrabadi, Thomas S. Huang, “Semi-supervised Hyperspectral Classification Using Task-driven Dictionary Learning with Laplacian Regularization,” IEEE Transactions on Geoscience and Remote Sensing, Vol.53, No.3, pp. 1161-1173, March 2015.

Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga, “Graph-based Sensor Fusion for Classification of Transient Acoustic Signals,” IEEE Transactions on Cybernetics, Accepted to appear in Vol., No. , pp. 00-00 Dec. 2014.

Zhaowen Wang, Nasser M. Nasrabadi, Thomas Huang, “Spatial-spectral Classification of Hyperspectral Images using Discriminative Dictionary Designed by Learning Vector Quantization,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 52, No. 8, pp. 4808-4822, August 2014.

Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Structured Priors for Sparse Representation Based Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letter, To appear in vol.11, no. 5, pp. 00-00, Sept. 2014.

Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Abundance Estimation for Bilinear mixture models via joint sparse and low rank representations,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 52, No. 7, pp.4404-4422, July 2014.

Nasser M. Nasrabadi, “Hyperspectral Target Detection: An Overview of Current and Future Challenges,” IEEE Signal Processing Magazine, vol.31, no.1, pp. 34-44, Jan. 2014.

Vishal M. Patel, Glenn R. Easley, Nasser M. Nasrabadi, and Rama Chellappa, “Separated Component-Based Restoration of Speckled SAR Images,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 52, No. 2, pp. 1019-1029, Feb. 2014.

Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi and Rama Chellappa, “Joint sparse representation for robust multimodal biometrics recognition,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 36, No. 1, pp. 113-126, Jan. 2014.

CONFERENCE PUBLICATIONS:
1. Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Dabouei, Nasser M. Nasrabadi “ARoFace: Alignment Robustness to Improve Low-quality Face Recognition,” European Conference on Computer Vision (ECCV’24), Sept. 29- Oct. 4th, 2024, Milano, Italy. (Acceptance rate 27.9%)
2. Hannah Anderson, Moktari Mostofa, Nasser M. Nasrabadi, Jeremy Dawson, “Identity-Preserving GAN for Cross-Spectral Iris Recognition,” IEEE Int. Joint Conference on Biometrics (IJCB’24), Sept. 15-18, 2024, Buffalo, NY. (Acceptance rate 36.7%)
3. Amol Joshi, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi, “USFQA: Utility and Sharpness guided Fingerphoto Quality Assessment,” IEEE Int. Joint Conference on Biometrics (IJCB’24), Sept. 15-18, 2024, Buffalo, NY. (Acceptance rate 36.7%)
4. David Keaton, Amol Joshi, Jeremy Dawson, Nasser M. Nasrabadi, “FDWST: Fingerphoto Deblurring using Wavelet Style Transfer,” IEEE Int. Joint Conference on Biometrics (IJCB’24), Sept. 15-18, 2024, Buffalo, NY. (Acceptance rate 36.7%)
5. Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Seyed Rasoul Hossein, Nasser M. Nasrabadi, “Boosting Unconstrained Face Recognition with Targeted Style Adversary,” IEEE Int. Joint Conference on Biometrics (IJCB’24), Sept. 15-18, 2024, Buffalo, NY. (Acceptance rate 36.7%)
6. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser Nasrabadi, “Laplacian guided Entropy Model in Neural Codec with Blur-dissipated Synthesis,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’24), June 17-21, 2024, Seattle, WA. (Acceptance rate 25.8%)
7. Mohammad saeed Ebrahimi saadabadi, Ali Dabouei, Sahar Rahimi Malakshan, Nasser Nasrabadi, “Hyperspherical Classification with Dynamic Label-to-Prototype Assignment,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 17-21, 2024, Seattle, WA. (Acceptance rate 25.8%)
8. Md Mahedi Hasan, Shoaib Meraj Sami, Nasser M. Nasrabadi, “Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning,” IEEE Winter Conference on Applications of Computer Vision ((WACV’24), Jan. 4-8, 2024, Waikoloa, Hawaii.
9. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara Thompson, B. J., Da Silva, D., & Kirk, M. S. (2024, January). Transformer-based Neural Video Compression on Solar Dynamics Observatory. In the 104th American meteorological society (AMS’24) Annual Meeting, Jan. 28th – Feb. 1, 2024, Baltimore, Maryland.
10. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M Nasrabadi, “Multi-Context Dual Hyper-Prior Neural Image Compression,” IEEE International Conference on Machine Learning and Applications (IEEE ICMLA’23), Dec 15-17, Jacksonville, FL, USA, 2023, pp. 618-625, doi: 10.1109/ICMLA58977.2023.00091.
11. Mohammad Akyash, Ali Zafari, and Nasser M. Nasrabadi, “Trading-off Mutual Information on Feature Aggregation for Face Recognition,” IEEE International Conference on Machine Learning and Applications (IEEE ICMLA’23), Dec 15-17, Jacksonville, FL, USA, 2023, pp. 2044-2051, doi: 10.1109/ICMLA58977.2023.00309.
12. Ali Zafari, Atefeh Khoshkhahtinat, Piyush M Mehta, Nasser M Nasrabadi, Barbara J Thompson, Michael SF Kirk, Daniel da Silva, “Multi-spectral Entropy Constrained Neural Compression of Solar Imagery,” IEEE International Conference on Machine Learning and Applications (IEEE ICMLA’23), Dec 15-17, Florida, 2023.
13. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M Mehta, Nasser M Nasrabadi, Barbara J Thompson, Michael SF Kirk, Daniel da Silva, “Context-Aware Neural Video Compression on Solar Dynamics Observatory,” IEEE International Conference on Machine Learning and Applications (IEEE ICMLA’23), Dec 15-17, Florida, 2023.
14. Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Mohammad Akyash, Nasser M. Nasrabadi, “AAFACE: Attribute-Aware Attentional Network for Face Recognition,” in IEEE Int. Conf. on Image Processing (ICIP’23), Oct. 8-11, 2023, Kuala Lumpur, Malaysia, 2023, pp. 1940-1944, doi: 10.1109/ICIP49359.2023.10222666.
15. Ali Zafari, Atefeh Khoshkhahtinat, Piyush Mehta, Mohammad Saeed Ebrahimi Saadabadi, Mohammad Akyash, Nasser M. Nasrabadi,” Frequency Disentangled Features in Neural Image Compression,” in IEEE Int. Conf. on Image Processing (ICIP’23), Oct. 8-11, 2023, Kuala Lumpur, Malaysia.
16. Hossein Kashiani, Niloufar Alipour Talemi, Mohammad Saeed Ebrahimi Saadabadi, Nasser Nasrabadi, “Towards Generalizable Morph Attack Detection with Consistency Regularization,” IEEE Int. Joint Conference on Biometrics (IJCB’23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%) Ljubljana, Slovenia, 2023, pp. 1-10, doi: 10.1109/IJCB57857.2023.10448876
17. Md Mahedi Hasan and Nasser Nasrabadi, “Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation,” IEEE Int. Joint Conference on Biometrics (IJCB’23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%) Ljubljana, Slovenia, 2023, pp. 1-10, doi: 10.1109/IJCB57857.2023.10448749.
18. Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Nasser Nasrabadi, “Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting,” IEEE Int. Joint Conference on Biometrics (IJCB’23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%) doi: 10.1109/IJCB57857.2023.10448893.
19. Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani, Nasser Nasrabadi, “CCFace: Classification Consistency for Low-Resolution Face recognition,” IEEE Int. Joint Conference on Biometrics (IJCB’23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%) doi: 10.1109/IJCB57857.2023.10448973.
20. Banafsheh Adami, Sara Tehranipoor, Nasser M. Nasrabadi, Nima Karimian, “A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems,” IEEE Int. Joint Conference on Biometrics (IJCB’23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%) doi: 10.1109/IJCB57857.2023.10448939
21. Amol S. Joshi, Ali Dabouei, Nasser Nasrabadi, Jeremy Dawson, “Synthetic Latent Fingerprint Generation Using Style Transfer,” 22nd International Conference of the Biometrics Special Interest Group (BIOSIG 2023), Sept. 20-22, 2023, Darmstadt, Germany. doi: 10.1109/BIOSIG58226.2023.10345974
22. Carson King, Evan Garrett, Aeddon Berti, Jeremy Dawson Nasser M. Nasrabadi, “Contactless Fingerprints: Differential Performance for Fingers of Varying Size and Ridge Density,” 22nd International Conference of the Biometrics Special Interest Group (BIOSIG 2023), Sept. 20-22, 2023, Darmstadt, Germany. doi: 10.1109/BIOSIG58226.2023.10346002.
23. Shoaib Meraj Sami, Nasser M. Nasrabadi, and Raghuveer Rao, “Deep Transductive Transfer Learning for Automatic Target recognition,” in SPIE Defense & Commercial Sensing, Conference 12521, Automatic target recognition XXXIII, May 1-4, 2023, Orlando, Florida. (Best paper Award)
24. Zafari, A., Khoshkhahtinat, A., Mehta, P. M., Nasrabadi, N., Thompson, B. J., da Silva, D., & Kirk, M. (2023, January). Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. In the 103rd American meteorological society (AMS’23) Annual Meeting. Jan. 8-12, 2023, Denver, Colorado.
25. Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Zafari, Moktari Mostofa, Nasser M. Nasrabadi, “A Quality Aware Sample-to-Sample Comparison for Face Recognition,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV’23), Jan., 2023.
26. Nima Najafzadeh, Hossein Kashiani, Mohammad Saeed Ebrahimi Saadabadi, Niloufar Alipour Talemi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi, “Face Image Quality Vector Assessment for Biometrics Applications,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV’23), Jan., 2023.
27. Ali Zafari, Atefeh Khoshkhahtinat, Piyush Mehta, Nasser Nasrabadi, Barbara Thompson, Daniel da Silva, Michael Kirk, “Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory,” IEEE 21st IEEE Int. Conf. on Machine Learning and Applications (ICMLA), Dec. 12-14, 2022, Bahamas.
28. Kelsey O’Haire, Sobhan Soleymani, Samuel Price, Nasser M Nasrabadi, “Juvenile Morph Dataset: A Study of Attack Detectability and Recognition Vulnerability,” 21st Annual IEEE International Symposium on Technologies for Homeland Security (HST22), Nov. 14-15, 2022. (Virtual)
29. Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Nasser M. Nasrabadi, “Revisiting Outer Optimization in Adversarial Training,” 16th European Conference on Computer Vision (ECCV 2022), 23-27 Oct. 2022. Tel Aviv, Israel. (Acceptance rate 28%)
30. Kelsey O’Haire, Sobhan Soleymani, Baaria Chaudhary, Jeremy Dawson, Nasser M Nasrabadi, “Identical Twins Face Morph Database Generation,” IEEE Int. Joint Conference on Biometrics (IJCB’22), Oct. 10-13, 2022, Abu Dhabi, United Arab Emirates. (Acceptance rate 36.5%)
31. Samuel Price, Sobhan Soleymani, Nasser M. Nasrabadi, ” Landmark Enforcement and Style Manipulation for Generative Morphing,” IEEE Int. Joint Conference on Biometrics (IJCB’22), Oct. 10-13, 2022, Abu Dhabi, United Arab Emirates. (Acceptance rate 36.5%)
32. Moktari Mostofa, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi, ” Pose Attention-Guided Profile-to-Frontal Face Recognition,” IEEE Int. Joint Conference on Biometrics (IJCB’22), Oct. 10-13, 2022, Abu Dhabi, United Arab Emirates. (Acceptance rate 36.5%)
33. Hossein Kashiani, Shoaib Meraj Sami, Sobhan Soleymani, Nasser M. Nasrabadi, “Robust Ensemble Morph Detection with Domain Generalization,” IEEE Int. Joint Conference on Biometrics (IJCB’22), Oct. 10-13, 2022, Abu Dhabi, United Arab Emirates. (Acceptance rate 36.5%)
34. Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Moktari Mostofa, Sobhan Soleymani, Nasser M. Nasrabadi, “Information Maximization for Extreme Pose Face Recognition,” IEEE Int. Joint Conference on Biometrics (IJCB’22), Oct. 10-13, 2022, Abu Dhabi, United Arab Emirates. (Acceptance rate 36.5%)
35. Aeddon Berti, Nasser M. Nasrabadi, and Jeremy Dawson, “Investigating the Impact of Demographic Factors on Contactless Fingerprint Interoperability,” IEEE 21th International Conference of the Biometrics Special Interest Group (BIOSIG’22), October 13th-16th, 2022, Darmstadt, Germany.
36. Md Mahedi Hasan, Nasser M. Nasrabadi, Jeremy Dawson, “Deep Coupled GAN-Based Score-Level Fusion for Multi-Finger Contact to Contactless Fingerprint Matching,” IEEE 21st International Conference of the Biometrics Special Interest Group (BIOSIG’22), October 13th-16th, 2022, Darmstadt, Germany.
37. Zafari, A., Khoshkhahtinat, A., Nasrabadi, N., & Mehta, P. (2022). Neural Image Compression on Solar Dynamics Observatory. The Third Triennial Earth-Sun Summit (TESS’2022), vol. 54, issue 7, October 20, 2022.
38. Omid Dehzangi, Paria Jeihouni, Jade Ramadan, Victor Finomore, Nasser M. Nasrabadi, Ali Rezai, “Ubiquitous Physiological Prediction of SUD Patients’ Wellness State Using Memory-Based Convolutional Models,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’22), May 22-27, 2022, Singapore. (Acceptance rate 45%)
39. Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Dabouei, Ali Rezai, Nasser M. Nasrabadi, “Super-Resolution and Segmentation of OCT Scans Using Multi-Stage Adversarial Attention Training,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’22), pp. 1106-1110, May 22-27, 2022. doi: 10.1109/ICASSP43922.2022.9747498 (Acceptance rate 45%)
40. Uche Osahor, Nasser M. Nasrabadi, “Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning,” IEEE Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 4-8, 2022, Waikoloa, Hawaii. (Acceptance rate 35%)
41. Veeru Talreja, Nasser M. Nasrabadi, Matthew Valenti, “Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition,” IEEE Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 4-8, 2022, Waikoloa, Hawaii. (Acceptance rate 35%)
42. Poorya Aghdaie, Sobhan Soleymani, Baaria Chaudhary, Jeremy Dawson, Nasser M. Nasrabadi, “Morph Detection Enhanced by Structured Group Sparsity,” IEEE Winter Conference on Applications of Computer Vision (WACV 2022), workshop WACVMAPA2022, Jan. 4-8, 2022, Waikoloa, Hawaii.
43. Kelsey O’Haire, Sobhan Soleymani, Baaria Chaudhary, Poorya Aghdaie, Jeremy Dawson, Nasser M Nasrabadi, “Adversarially Perturbed Wavelet-based Morphed Face Generation,” IEEE International Conference on Automatic Face and Gesture Recognition (FG’2021), Dec. 15-18, 2021, Jodhpur, India (Virtual Event).
44. Domenick Poster, Nasser M Nasrabadi, “Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning,” IEEE International Conference on Automatic Face and Gesture Recognition (FG’2021), Dec. 15-18, 2021, Jodhpur, India (Virtual Event).
45. Salman Mohamadi, Gianfranco Doretto, Nasser M. Nasrabadi, and Donald Adjeroh, “Human Age Estimation from Gene Expression Data using Artificial Neural Networks,” IEEE International Conference on Bioinformatics and Biomedicine (BIBM’2 – DLB2H’21), Dec. 9-12, Virtual Conference.
46. Uche Osahor, Nasser M. Nasrabadi, “Quality Map Fusion for Adversarial Learning,” 32nd British Machine Vision Conference (BMVC’21), Virtual Conference, 22-25th Nov. 2021.
47. Brady Williams, John McCauley, John Dando, Jeremy Dawson, Nasser M. Nasrabadi, “Interoperability of Contact and Contactless Fingerprints Across Multiple Fingerprint Sensors,” IEEE 20th International Conference of the Biometrics Special Interest Group (BIOSIG’21), September 15th-17th, 2021, Darmstadt, Germany.
48. John McCauley, Sobhan Soleymani, Brady Williams, Jeremy Dawson, Nasser M. Nasrabadi, “Identical Twins as a Facial Similarity Benchmark for Human Facial Recognition,” IEEE 20th International Conference of the Biometrics Special Interest Group (BIOSIG’21), September 15th-17th, 2021, Darmstadt, Germany.
49. Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi, “GAN-based super-resolution and segmentation of retinal layers in optical coherence tomography scans,” IEEE Int. Conference on Image Processing (ICIP21), Anchorage, Alaska, 19-22 Sept. 2021. (Acceptance Rate 46%)
50. Amol S. Joshi, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi, “FDeblur-GAN Fingerprint Deblurring Using Generative Adversarial Network,” IEEE Int. Joint Conference on Biometrics (IJCB’21), Aug. 4-7, 2021. (Acceptance rate 40.2%)
51. Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi, “Attention Aware Wavelet-based Detection of Morphed Face Images,” IEEE Int. Joint Conference on Biometrics (IJCB’21), Aug. 4-7, 2021. (Acceptance rate 40.2%)
52. Baaria Chaudhary, Poorya Aghdaie, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi, “Differential Morph Face Detection using Discriminative Wavelet Sub-bands,” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW),” Virtual, June 19-25, 2021.
53. Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, J. Dawson, N. M. Nasrabadi, “Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021. (Acceptance rate 27%)
54. Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi, “SuperMix: Supervising the Mixing Data Augmentation,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),” Virtual, June 19-25, 2021. (Acceptance rate 27%)
55. Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi, “Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands,” the 9th IEEE International Workshop on Biometrics and Forensics (IWBF21), May 6-7, 2021, Rome, Italy.
56. Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi, “Differential Morphed Face Detection Using Deep Siamese Networks,” ICPR Workshop, MultiMedia FORensics in the WILD (MMForWILD’2020), Jan. 10-15, 2021, Milan, Italy.
57. Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Jeremy Dawson and Nasser M. Nasrabadi, “Mutual Information Maximization on Disentangled Representations for Differential Morph Detection,” IEEE Winter Conference on Applications of Computer Vision (WACV 2021), March 5-9, 2021, Waikoloa, Hawaii.
58. Domenick Poster, Matthew Thielke, Robert Nguyen, Srinivasan Rajaraman, Xing Di, Cedric Nimpa Fondje, Vishal Patel, Nathan J. Short, Benjamin S. Riggan, Nasser M. Nasrabadi, Shuowen Hu “A Large-Scale, Time-Sychronized Visible and Thermal Face Dataset,” IEEE Winter Conference on Applications of Computer Vision (WACV 2021), March 5-9, 2021, Waikoloa, Hawaii.
59. Omid Dehzangi, Saba Heidari Gheshlaghi, Annahita Amireskandari, Nasser M. Nasrabadi, Ali Rezai, “OCT Image Segmentation Using Neural Architecture Search and SRGAN,” 25th Int. Conf. on Pattern Recognition (ICPR’21), Jan. 10-15, 2021, Milan, Italy.
60. Omid Dehzangi, Arash Shokouhmand, Paria Jeihouni, Jad Ramadan, Victor Finomore, Nasser M. Nasrabadi, and Ali Rezai “XGBoost to Interpret the Opioid Patients’ State Based on Cognitive and Physiological Measures,” 25th Int. Conf. on Pattern Recognition (ICPR’21), Jan. 10-15, 2021, Milan, Italy.
61. Syeda Nyma Ferdous, Ali Dabouei, Jeremy Dawson and Nasser M. Nasrabadi, “Super-resolution Guided Pore Detection for Fingerprint Recognition,” 25th Int. Conf. on Pattern Recognition (ICPR’21), Jan. 10-15, 2021, Milan, Italy.
62. Sertac Arisoy, Nasser M. Nasrabadi, Koray Kayabol, “GAN-based Hyperspectral Anomaly Detection,”28th European Signal Processing Conference (EUSIPCO2020), January 18-22, 2021, Amsterdam, Nederland.
63. Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi “Attribute Adaptive Margin Softmax Loss Using Privileged Information,” 31st British Machine Vision Conference (BMVC’20), 7-11 Sept. 2020. (Acceptance rate 29.1%)
64. Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi, “Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning,” 16th European Conference on Computer Vision (ECCV 2020) 23-28 Aug. 2020. (Spotlight paper – Acceptance rate 27%)
65. Saba Heidari Gheshlaghi, Ali Dabouei, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser Nasrabadi, “OCT Image Segmentation Using an Efficient Neural Architecture Search,” in IEEE Int. Conf. Image Processing (ICIP), October 25-28, 2020, United Arab Emirates. ISBN: 9781728163956, 10.1109/icip40778.2020.9190753 (Acceptance rate 42%)
66. Moktari Mostofa, Fariborz Taherkhani, Jeremy Dawson and Nasser M. Nasrabadi, “Cross-Spectral Iris Matching Using Coupled cGAN,” IEEE International Joint Conference on Biometrics (IJCB’20), Sept. 28-Oct. 1, 2020, Houston, Taxes. (Acceptance rate 39%)
67. Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson, Matthew Valenti, Nasser M. Nasrabadi, “PF-CpGAN: profile to frontal coupled GAN for face recognition in the wild,” IEEE International Joint Conference on Biometrics (IJCB’20), Sept. 28- Oct. 1, 2020, Houston, Taxes. (Acceptance rate 39%) (the best student paper award)
68. Uche M. Osahor, Hadi Kazemi, Ali Dabouei, Nasser M. Nasrabadi, “Quality Guided Sketch-to-Photo Image Synthesis,” in IEEE Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW), June 16, 2020.
69. Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi, “Exploiting Joint Robustness to Adversarial Perturbations,” Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, 2020, Seattle, Washington. (Acceptance rate 22%)
70. Moktari Mostofa, Syeda Nyma Ferdous, Nasser M. Nasrabadi, “A joint cross-modal super-resolution approach for vehicle detection in aerial imagery,” SPIE Symposium on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, Proceedings Volume 11413, Anaheim CA, 27 April – 1 May 2020
71. Syeda Nyma Ferdous, Moktari Mostofa, Uche Osahor, Nasser M. Nasrabadi “Target classification in infrared imagery by cross-spectral synthesis using GAN,” SPIE Symposium, Automatic Target Recognition XXX, Proc. SPIE. 11394, Anaheim CA, 27 April – 1 May 2020. (The best paper award)
72. H. Kazemi, F. Taherkhani, N. M. Nasrabadi, “Preference-Based Image Generation,” IEEE Winter Conference on Applications of Computer Vision (WACV 2020), March 2-5, 2020, Aspen, Colorado.
73. A. Dabouei, S. Soleymani, F. Taherkhani, J. Dawson, N. M. Nasrabadi, “SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations,” IEEE Winter Conference on Applications of Computer Vision (WACV 2020), March 2-5, 2020, Aspen, Colorado.
74. A. Dabouei, S. Soleymani, F. Taherkhani, J. Dawson, N. M. Nasrabadi, “Boosting Deep Face Recognition via Disentangling Appearance and Geometry,” IEEE Winter Conference on Applications of Computer Vision (WACV 2020), March 2-5, 2020, Aspen, Colorado.
75. S. M. Iranmanesh, A. Dabouei, S. Soleymani, H. Kazemi, N. M. Nasrabadi, “Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces,” IEEE Winter Conference on Applications of Computer Vision (WACV 2020), March 2-5, 2020, Aspen, Colorado.
76. F. Taherkhani, H Kazemi, A. Dabouei, J. Dawson, N. M. Nasrabadi, “A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision,” IEEE Int. Conf. on Computer Vision (ICCV’19), Oct. 23-Nov.2, 2019, Seoul, Korea. (Acceptance rate 25%)
77. S. Soleymani, A. Dabouei, J. Dawson, N. M. Nasrabadi, “Defending Against Adversarial Iris Examples Using Wavelet Decomposition,” The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019), Sept. 23, 2019, Tampa, FL. (Best Poster Paper)
78. V. Talreja, M. Valenti, N. M. Nasrabadi, “Zero-Shot Deep Hashing and Neural Network Based Error Correction for Face Template Protection,” The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019), Sept. 23, 2019, Tampa, FL.
79. V. Talreja, F. Taherkhani, N. M. Nasrabadi, M. Valenti, “Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition,” The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019), Sept. 23, 2019, Tampa, FL.
80. H. Kazemi, F. Taherkhani, N. M. Nasrabadi, “Identity-Aware Deep Face Hallucination via Adversarial Face Verification,” The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019), Sept. 23, 2019, Tampa, FL.
81. D. Poster, B. S. Riggan, S. Hu, N. M. Nasrabadi, “An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery,” CVPRW’19, 15th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS’19), Long Beach, CA, June 16-20, 2019.
82. F. Taherkhani, J. Dawson, N. M. Nasrabadi, “Hyperspectral Band Selection for Face Recognition Based on a Structurally Sparsified Deep Convolutional Neural Networks,” in the 12th IAPR International Conference on Biometrics (ICB’19), 4-7 June 2019, Crete, Greece.
83. S. Soleymani, A. Dabouei, J. Dawson, N. M. Nasrabadi, “Adversarial Examples to Fool Iris Recognition Systems” in the 12th IAPR International Conference on Biometrics (ICB’19), 4-7 June 2019, Crete, Greece.
84. A. Dabouei, S. Soleymani, J. Dawson, N. M. Nasrabadi, “Deep Contactless Fingerprint Unwarping,” in the 12th IAPR International Conference on Biometrics (ICB’19), 4-7 June 2019, Crete, Greece.
85. S. M. Iranmanesh, N. M. Nasrabadi, “Attribute-Guided Deep Polarimetric Thermal-to-visible Face Recognition,” in the 12th IAPR International Conference on Biometrics (ICB’19), 4-7 June 2019, Crete, Greece.
86. V. Talreja, M. Valenti, N. M. Nasrabadi, “Learning to Authenticate with Deep Multibiometric Hashing and Neural Network Decoding,” IEEE International Conference on Communications (ICC’19), 20-24 May 2019, Shanghai, China. (Acceptance rate 39.9%)
87. U. M. Osahor, N. M. Nasrabadi, “Design of adversarial targets: fooling deep ATR systems,” in Automatic Target Recognition XXIX 10988, 109880F, https://doi.org/10.1117/12.2518945, SPIE Defense + Commercial Sensing, April 2019, Baltimore, MD, US.
88. U. M .Osahor, N. M. Nasrabadi, “Deep adversarial attack on target detection systems,” in Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 1100617 (2019) https://doi.org/10.1117/12.2519045, SPIE Defense + Commercial Sensing, April 2019, Baltimore, MD, US.
89. S. N. Ferdous, M. Mostofa, Nasser M. Nasrabadi “Super resolution-assisted deep aerial vehicle detection,” Proceedings Volume 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications; 1100617 (2019), SPIE Defense + Commercial Sensing, April 2019, Baltimore, MD, US.
90. F. Taherkhani, H. Kazemi, N. M. Nasrabadi, “Matrix Completion for Graph-Based Deep Semi-Supervised Learning”, 33rd AAAI Conference on Artificial Intelligence (AAAI), Jan. 27-Feb. 1, 2019, Honolulu, Hawaii. (Acceptance rate 16.7%)
91. A. Dabouei, S. Soleymani, J. Dawson, N. M. Nasrabadi, “Fast Geometrically-Perturbed Adversarial Faces,” 2019 IEEE Winter Conference on Applications of Computer Vision (WACV’19), Waikoloa, Hawaii, January 8-10, 2019. (Acceptance rate 34%)
92. H. Kazemi, S. M. Iranmanesh, N. M. Nasrabadi, “Style and Content Disentanglement in Generative Adversarial Networks,” 2019 IEEE Winter Conference on Applications of Computer Vision (WACV’19), Waikoloa, Hawaii, January 8-10, 2019. (Acceptance rate 34%)
93. H. Kazemi, M. Iranmanesh, F. Taherkhani, S. Soleymani, N. M. Nasrabadi, “Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound,” Thirty-second Conference on Neural Information Processing Systems (NIPS’18), 4-6 Dec. 2018, Montreal, Canada. (Acceptance rate 20.8%)
94. F. Taherkhani, V. Talreja, N. M. Nasrabadi, M. Valenti “Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval,” in IEEE GlobalSIP, Nov. 26-29, Nov. 2018, Anaheim, CA. (acceptance rate 45%) http://arxiv.org/abs/1902.04139
95. X. Sun, N. M. Nasrabadi, T. D. Tran, “Supervised Multilayer Sparse Coding Networks for image classification,” 2018 IEEE International Conference on Image Processing (ICIP’18), Athens, Greece. (Acceptance rate 40%)
96. S. Soleymani, A. Dabouei, H. Kazemi, J. Dawson, N. M. Nasrabadi, “Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification,” 2018 IEEE International Conference on Image Processing (ICIP’18), Athens, Greece, 2018. (Acceptance rate 40%)
97. H. Kazemi, F. Taherkhani, N. M. Nasrabadi, “Unsupervised Facial Geometry Learning for Sketch to Photo Synthesis,” 17th International Conference of the Biometrics Special Interest Group (BIOSIG), 26-28 Sept. 2018, Darmstadt, Germany.
98. F. Taherkhani, V. Talreja, H. Kazemi, N. M. Nasrabadi “Facial Attribute Guided Deep Cross-Modal Hashing for Face Image Retrieval,” 17th International Conference of the Biometrics Special Interest Group (BIOSIG), 26-28 Sept. 2018, Darmstadt, Germany.
99. D. Poster, N. M. Nasrabadi, B. Riggan, “Deep Sparse Feature Selection and Fusion for Textured Contact Lens Detection,” 17th International Conference of the Biometrics Special Interest Group (BIOSIG), 26-28 Sept. 2018, Darmstadt, Germany.
100. S. M. Iranmanesh, H. Kazemi, S. Soleymani, A. Dabouei, N. M. Nasrabadi, “Deep Sketch-Photo Face Recognition Assisted by Facial Attributes,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018). (Best Poster Presentation Award) (acceptance rate 36%)
101. S. Soleymani, A. Dabouei, S. M. Iranmanesh, H. Kazemi, J. Dawson, N. M. Nasrabadi, “Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018). (Acceptance rate 36%)
102. A. Dabouei, S. Soleymani, H. Kazemi, SM Iranmanesh, Jeremy Dawson, Nasser M. Nasrabadi, “ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018). (Best Student Paper Award) (acceptance rate 36%)
103. S. Soleymani, A. Dabouei, H. Kazemi, J. Dawson, N. M. Nasrabadi, “Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification,” 2018 International Conference on Pattern Recognition (ICPR’18). (Acceptance rate 50%)
104. A. Soleimani, N. M. Nasrabadi, Elias Griffith, Jason Ralph, Simon Maskell, “Convolutional Neural Networks for Aerial Vehicle Detection and Recognition,” IEEE National Aerospace & Electronics Conference (NAECON) 2018.
105. A. Soleimani, N. M. Nasrabadi, “Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection,” 21st International Conference on Information Fusion (Fusion’18), 2018.
106. A. Torfi, J. Dawson, N. M. Nasrabadi, “Text-independent Speaker Verification Using 3-D Convolutional Neural Networks,” IEEE Int. Conf. on Multimedia and Expo (ICME’18), San Diego, CA. (acceptance rate 30%)
107. B. S Riggan, N. J Short, M. S Sarfraz, S Hu, H Zhang, V. M Patel, S Rasnayaka, J Li, T Sim, S. M Iranmanesh, N. M Nasrabadi, “ICME grand challenge results on heterogeneous face recognition: polarimetric thermal-to-visible matching,” IEEE International Conference on Multimedia and Expo (ICME), San Diego, CA, 2018. (2nd Place Grand Challenges)
108. Fariborz Taherkhani, Nasser M Nasrabadi, Jeremy Dawson, “A Deep Face Identification Network Enhanced by Facial Attributes Prediction,” IEEE CVPRW 2018. (The Best Workshop Paper)
109. H Kazemi, S Soleymani, A Dabouei, M Iranmanesh, NM Nasrabadi, “Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition,” IEEE CVPRW 2018.
110. H. Kazemi, M. Iranmanesh, N. M. Nasrabadi, “Automatic target recognition using deep convolutional neural networks,” Automatic Target Recognition XXVIII, SPIE Defense and Commercial Sensing, Gaylord Palms Resort & Convention Center, Orlando, FL, 15 – 19 April 2018.
111. H. Kazemi, S. M. Iranmanesh, A. Dabouei, S. Soleymani, N. M. Nasrabadi, “Facial Attributes Guided Deep Sketch-to-Photo Synthesis,” IEEE Winter Conf. on Applications of Computer Vision (WCAVW’18), Workshop on Cross-Domain Biometric Recognition, Lake Tahoe, NV, 12-15 March 2018. (The Best Paper Award)
112. O. Ulutan, B. S. Riggan, N. M. Nasrabadi, B. S. Manjunath, “An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data,” IEEE Winter Conf. on Applications of Computer Vision (WACV 2018), Lake Tahoe, NV, March 12-14, 2018.
113. S. M. Iranmanesh, A Dabouei, H Kazemi, N. M. Nasrabadi, “Deep Cross Polarimetric Thermal-to-visible Face Recognition,” the 11th IAPR International Conferences on Biometrics (ICB’18), 2018, Gold Coast, Australia. (Acceptance rate 36%)
114. A. Dabouei, H. Kazemi, S.M. Iranmanesh, J. Dawson, N.M. Nasrabadi, “Fingerprint Distortion Rectification using Deep Convolutional Neural Networks,” the 11th IAPR International Conferences on Biometrics (ICB’18), 2018, Gold Coast, Australia. (The Best Student Paper) (acceptance rate 36%)
115. V. Talreja, M. Valenti, N. M. Nasrabadi, “Multibiometric Secure System Based on Deep Learning,“ in IEEE Global Conference on Signal and Information Processing (GlobalSIP’17), GS-IFS-P.1.6, Nov. 2017, Montreal, Canada. (Acceptance rate 45%)
116. Tuan Dao, Amit Roy-Chowdhury, Nasser Nasrabadi, Srikanth V Krishnamurthy, Prasant Mohapatra, and Lance M. Kaplan, “Accurate and Timely Situation Awareness Retrieval from a Bandwidth Constrained Camera Network,” IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), pp. 416-425, Oct. 22-25, 2017
117. Minh Dao, Tung-Duong Tran-Luu, Nasser Nasrabadi, “Sparsity-based Fusion of Multiple Sensors and Multiple Features for Acoustic Transients,” IEEE Global Conference on Signal and Information Processing (GlobalSIP’16), Greater Washington DC, Dec. 2016. (Acceptance rate 45%)
118. Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran, “Invariant Hierarchical Sparse Coding for Object Recognition via Bags of Atoms,” IEEE Global Conference on Signal and Information Processing (GlobalSIP’16), Greater Washington DC, Dec. 2016. (acceptance rate 45%)

Honors and Awards

  • IEEE Fellow (2001)
  • ARL Fellow (1999)
  • SPIE Fellow (1997)

Professional Organizations

IEEE
SPIE
ARL

Courses

Next Offered
Spring 2025
Course Format
Synchronous Online
Primary Program
Electrical and Computer Engineering
Location
Online