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Nasser M. Nasrabadi
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2020 – today
- 2024
- [j106]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. IEEE Trans. Aerosp. Electron. Syst. 60(1): 918-933 (2024) - [j105]Shoaib Meraj Sami
, Md. Mahedi Hasan
, Nasser M. Nasrabadi
, Raghuveer Rao
:
Contrastive Learning and Cycle Consistency-Based Transductive Transfer Learning for Target Annotation. IEEE Trans. Aerosp. Electron. Syst. 60(2): 1628-1646 (2024) - [j104]Niloufar Alipour Talemi
, Hossein Kashiani
, Nasser M. Nasrabadi
:
CATFace: Cross-Attribute-Guided Transformer With Self-Attention Distillation for Low-Quality Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 6(1): 132-146 (2024) - [c222]Md. Mahedi Hasan, Shoaib Meraj Sami
, Nasser M. Nasrabadi:
Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning. WACV 2024: 5772-5781 - [i108]Niloufar Alipour Talemi, Hossein Kashiani, Nasser M. Nasrabadi:
CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition. CoRR abs/2401.03037 (2024) - [i107]Shoaib Meraj Sami, Md. Mahedi Hasan, Nasser M. Nasrabadi, Raghuveer Rao:
Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation. CoRR abs/2401.12340 (2024) - [i106]Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi:
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis. CoRR abs/2403.16258 (2024) - [i105]Mohammad Saeed Ebrahimi Saadabadi, Ali Dabouei, Sahar Rahimi Malakshan, Nasser M. Nasrabadi:
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment. CoRR abs/2403.16937 (2024) - [i104]Amol S. Joshi, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi:
UFQA: Utility guided Fingerphoto Quality Assessment. CoRR abs/2407.11141 (2024) - [i103]Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Dabouei, Nasser M. Nasrabadi:
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition. CoRR abs/2407.14972 (2024) - [i102]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. CoRR abs/2407.15730 (2024) - [i101]David Keaton, Amol S. Joshi, Jeremy M. Dawson, Nasser M. Nasrabadi:
FDWST: Fingerphoto Deblurring using Wavelet Style Transfer. CoRR abs/2407.15964 (2024) - [i100]Chowdhury Mohammad Abid Rahman, Ghadendra Bhandari, Nasser M. Nasrabadi, Aldo H. Romero, Prashnna K. Gyawali:
Enhancing material property prediction with ensemble deep graph convolutional networks. CoRR abs/2407.18847 (2024) - 2023
- [j103]Sahar Rahimi Malakshan
, Mohammad Saeed Ebrahimi Saadabadi
, Moktari Mostofa
, Sobhan Soleymani
, Nasser M. Nasrabadi
:
Joint Super-Resolution and Head Pose Estimation for Extreme Low-Resolution Faces. IEEE Access 11: 11238-11253 (2023) - [j102]Poorya Aghdaie
, Sobhan Soleymani
, Nasser M. Nasrabadi
, Jeremy M. Dawson
:
Attention Augmented Face Morph Detection. IEEE Access 11: 24281-24298 (2023) - [j101]Amol S. Joshi
, Ali Dabouei, Jeremy M. Dawson
, Nasser M. Nasrabadi
:
Fingerphoto Deblurring Using Attention-Guided Multi-Stage GAN. IEEE Access 11: 82709-82727 (2023) - [j100]Md. Mahedi Hasan
, Nasser M. Nasrabadi, Jeremy M. Dawson
:
On improving interoperability for cross-domain multi-finger fingerprint matching using coupled adversarial learning. IET Biom. 12(4): 194-210 (2023) - [j99]Domenick Poster
, Shuowen Hu, Nasser M. Nasrabadi
:
Long-Range Thermal Target Detection in Data-Limited Settings Using Restricted Receptive Fields. Sensors 23(18): 7806 (2023) - [c221]Amol S. Joshi, Ali Dabouei, Nasser M. Nasrabadi, Jeremy M. Dawson:
Synthetic Latent Fingerprint Generation Using Style Transfer. BIOSIG 2023: 1-6 - [c220]Carson King, Evan Garrett, Aeddon Berti, Nasser M. Nasrabadi, Jeremy M. Dawson:
Contactless Fingerprints: Differential Performance for Fingers of Varying Size and Ridge Density. BIOSIG 2023: 1-6 - [c219]Md. Mahedi Hasan, Nasser M. Nasrabadi:
Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation. IJCB 2023: 1-10 - [c218]Hossein Kashiani, Niloufar Alipour Talemi, Mohammad Saeed Ebrahimi Saadabadi, Nasser M. Nasrabadi:
Towards Generalizable Morph Attack Detection with Consistency Regularization. IJCB 2023: 1-10 - [c217]Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Nasser M. Nasrabadi:
Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting. IJCB 2023: 1-10 - [c216]Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani, Nasser M. Nasrabadi:
CCFace: Classification Consistency for Low-Resolution Face Recognition. IJCB 2023: 1-10 - [c215]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. ICIP 2023: 1940-1944 - [c214]Ali Zafari
, Atefeh Khoshkhahtinat, Piyush M. Mehta, Mohammad Saeed Ebrahimi Saadabadi, Mohammad Akyash, Nasser M. Nasrabadi:
Frequency Disentangled Features in Neural Image Compression. ICIP 2023: 2815-2819 - [c213]Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi:
Multi-Context Dual Hyper-Prior Neural Image Compression. ICMLA 2023: 618-625 - [c212]Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel Da Silva:
Context-Aware Neural Video Compression on Solar Dynamics Observatory. ICMLA 2023: 667-674 - [c211]Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel Da Silva:
Multi-Spectral Entropy Constrained Neural Compression of Solar Imagery. ICMLA 2023: 1181-1188 - [c210]Mohammad Akyash, Ali Zafari, Nasser M. Nasrabadi:
Trading-Off Mutual Information on Feature Aggregation for Face Recognition. ICMLA 2023: 2044-2051 - [c209]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. WACV (Workshops) 2023: 511-520 - [c208]Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Zafari
, Moktari Mostofa, Nasser M. Nasrabadi:
A Quality Aware Sample-to-Sample Comparison for Face Recognition. WACV 2023: 6118-6127 - [i99]Shoaib Meraj Sami
, Nasser M. Nasrabadi, Raghuveer Rao:
Deep Transductive Transfer Learning for Automatic Target Recognition. CoRR abs/2305.13886 (2023) - [i98]Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Zafari, Moktari Mostofa, Nasser M. Nasrabadi:
A Quality Aware Sample-to-Sample Comparison for Face Recognition. CoRR abs/2306.04000 (2023) - [i97]Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Mohammad Saeed Ebrahimi Saadabadi, Mohammad Akyash, Nasser M. Nasrabadi:
Frequency Disentangled Features in Neural Image Compression. CoRR abs/2308.02620 (2023) - [i96]Md. Mahedi Hasan, Nasser M. Nasrabadi:
Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation. CoRR abs/2308.06866 (2023) - [i95]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. CoRR abs/2308.07243 (2023) - [i94]Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani, Nasser M. Nasrabadi:
CCFace: Classification Consistency for Low-Resolution Face Recognition. CoRR abs/2308.09230 (2023) - [i93]Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Nasser M. Nasrabadi:
Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting. CoRR abs/2308.09234 (2023) - [i92]Hossein Kashiani, Niloufar Alipour Talemi, Mohammad Saeed Ebrahimi Saadabadi, Nasser M. Nasrabadi:
Towards Generalizable Morph Attack Detection with Consistency Regularization. CoRR abs/2308.10392 (2023) - [i91]Atefeh Khoshkhahtinat, Ali Zafari
, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva:
Context-Aware Neural Video Compression on Solar Dynamics Observatory. CoRR abs/2309.10784 (2023) - [i90]Ali Zafari
, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva:
Multi-spectral Entropy Constrained Neural Compression of Solar Imagery. CoRR abs/2309.10791 (2023) - [i89]Atefeh Khoshkhahtinat, Ali Zafari
, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi:
Multi-Context Dual Hyper-Prior Neural Image Compression. CoRR abs/2309.10799 (2023) - [i88]Mohammad Akyash, Ali Zafari
, Nasser M. Nasrabadi:
Trading-off Mutual Information on Feature Aggregation for Face Recognition. CoRR abs/2309.13137 (2023) - [i87]Amol S. Joshi, Ali Dabouei, Nasser M. Nasrabadi, Jeremy M. Dawson:
Synthetic Latent Fingerprint Generation Using Style Transfer. CoRR abs/2309.15734 (2023) - [i86]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. CoRR abs/2311.02855 (2023) - [i85]Md. Mahedi Hasan, Shoaib Meraj Sami, Nasser M. Nasrabadi:
Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning. CoRR abs/2312.09367 (2023) - 2022
- [j98]Uche Osahor
, Nasser M. Nasrabadi
:
Text-Guided Sketch-to-Photo Image Synthesis. IEEE Access 10: 98278-98289 (2022) - [j97]Fariborz Taherkhani
, Veeru Talreja, Jeremy M. Dawson, Matthew C. Valenti, Nasser M. Nasrabadi:
Profile to frontal face recognition in the wild using coupled conditional generative adversarial network. IET Biom. 11(3): 260-276 (2022) - [j96]Shoaib Meraj Sami
, John McCauley
, Sobhan Soleymani, Nasser M. Nasrabadi, Jeremy M. Dawson
:
Benchmarking human face similarity using identical twins. IET Biom. 11(5): 459-484 (2022) - [j95]Sertac Arisoy
, Nasser M. Nasrabadi
, Koray Kayabol
:
Unsupervised Pixel-Wise Hyperspectral Anomaly Detection via Autoencoding Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j94]Sobhan Soleymani
, Ali Dabouei, Fariborz Taherkhani
, Seyed Mehdi Iranmanesh
, Jeremy M. Dawson
, Nasser M. Nasrabadi
:
Quality-Aware Multimodal Biometric Recognition. IEEE Trans. Biom. Behav. Identity Sci. 4(1): 97-116 (2022) - [j93]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 J. Biomed. Health Informatics 26(4): 1614-1627 (2022) - [c207]Md. Mahedi Hasan
, Nasser M. Nasrabadi, Jeremy M. Dawson:
Deep Coupled GAN-Based Score-Level Fusion for Multi-Finger Contact to Contactless Fingerprint Matching. BIOSIG 2022: 150-161 - [c206]Aeddon Berti, Nasser M. Nasrabadi, Jeremy M. Dawson:
Investigating the impact of demographic factors on contactless fingerprints interoperability. BIOSIG 2022: 237-244 - [c205]Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Nasser M. Nasrabadi:
Revisiting Outer Optimization in Adversarial Training. ECCV (5) 2022: 244-261 - [c204]Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Dabouei, Ali Rezai, Nasser M. Nasrabadi:
Superresolution and Segmentation of OCT Scans Using Multi-Stage Adversarial Guided Attention Training. ICASSP 2022: 1106-1110 - [c203]Omid Dehzangi, Paria Jeihouni, Jad Ramadan, Victor S. Finomore, Nasser M. Nasrabadi, Ali Rezai:
Ubiquitous Physiological Prediction of SUD Patients' Wellness State Using Memory-Based Convolutional Models. ICASSP 2022: 1131-1135 - [c202]Hossein Kashiani, Shoaib Meraj Sami, Sobhan Soleymani, Nasser M. Nasrabadi:
Robust Ensemble Morph Detection with Domain Generalization. IJCB 2022: 1-10 - [c201]Moktari Mostofa, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi:
Pose Attention-Guided Profile-to-Frontal Face Recognition. IJCB 2022: 1-10 - [c200]Kelsey O'Haire, Sobhan Soleymani, Baaria Chaudhary, Jeremy M. Dawson, Nasser M. Nasrabadi:
Identical Twins Face Morph Database Generation. IJCB 2022: 1-9 - [c199]Samuel Price, Sobhan Soleymani, Nasser M. Nasrabadi:
Landmark Enforcement and Style Manipulation for Generative Morphing. IJCB 2022: 1-10 - [c198]Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Sobhan Soleymani, Moktari Mostofa, Nasser M. Nasrabadi:
Information Maximization for Extreme Pose Face Recognition. IJCB 2022: 1-10 - [c197]Ali Zafari
, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel Da Silva, Michael S. F. Kirk:
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. ICMLA 2022: 198-205 - [c196]Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Morph Detection Enhanced by Structured Group Sparsity. WACV (Workshops) 2022: 311-320 - [c195]Veeru Talreja, Nasser M. Nasrabadi, Matthew C. Valenti:
Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition. WACV 2022: 1141-1150 - [c194]Uche Osahor, Nasser M. Nasrabadi:
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning. WACV 2022: 2040-2049 - [i84]Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Dabouei, Ali Rezai, Nasser M. Nasrabadi:
Superresolution and Segmentation of OCT scans using Multi-Stage adversarial Guided Attention Training. CoRR abs/2206.05277 (2022) - [i83]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. CoRR abs/2206.13740 (2022) - [i82]Shoaib Meraj Sami, John McCauley, Sobhan Soleymani, Nasser M. Nasrabadi, Jeremy M. Dawson:
Benchmarking Human Face Similarity Using Identical Twins. CoRR abs/2208.11822 (2022) - [i81]Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Nasser M. Nasrabadi:
Revisiting Outer Optimization in Adversarial Training. CoRR abs/2209.01199 (2022) - [i80]Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Sobhan Soleymani, Moktari Mostofa, Nasser M. Nasrabadi:
Information Maximization for Extreme Pose Face Recognition. CoRR abs/2209.03456 (2022) - [i79]Moktari Mostofa, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi:
Pose Attention-Guided Profile-to-Frontal Face Recognition. CoRR abs/2209.07001 (2022) - [i78]Hossein Kashiani, Shoaib Meraj Sami
, Sobhan Soleymani, Nasser M. Nasrabadi:
Robust Ensemble Morph Detection with Domain Generalization. CoRR abs/2209.08130 (2022) - [i77]Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel da Silva, Michael S. F. Kirk:
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. CoRR abs/2210.06478 (2022) - [i76]Samuel Price, Sobhan Soleymani, Nasser M. Nasrabadi:
Landmark Enforcement and Style Manipulation for Generative Morphing. CoRR abs/2210.10182 (2022) - 2021
- [j92]Domenick Poster
, Shuowen Hu, Nathan J. Short, Benjamin S. Riggan
, Nasser M. Nasrabadi
:
Visible-to-Thermal Transfer Learning for Facial Landmark Detection. IEEE Access 9: 52759-52772 (2021) - [j91]Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
HGAN: Hybrid generative adversarial network. J. Intell. Fuzzy Syst. 40(5): 8927-8938 (2021) - [j90]Moktari Mostofa
, Salman Mohamadi
, Jeremy M. Dawson
, Nasser M. Nasrabadi
:
Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition. IEEE Trans. Biom. Behav. Identity Sci. 3(4): 443-463 (2021) - [j89]Veeru Talreja
, Matthew C. Valenti
, Nasser M. Nasrabadi
:
Deep Hashing for Secure Multimodal Biometrics. IEEE Trans. Inf. Forensics Secur. 16: 1306-1321 (2021) - [c193]Salman Mohamadi, Nasser M. Nasrabadi, Gianfranco Doretto, Donald A. Adjeroh:
Human Age Estimation from Gene Expression Data using Artificial Neural Networks. BIBM 2021: 3492-3497 - [c192]John McCauley, Sobhan Soleymani, Brady Williams, Nasser M. Nasrabadi, Jeremy M. Dawson:
Identical Twins as a Facial Similarity Benchmark for Human Facial Recognition. BIOSIG 2021: 1-10 - [c191]Brady Williams, John McCauley, John Dando, Nasser M. Nasrabadi, Jeremy M. Dawson:
Interoperability of Contact and Contactless Fingerprints Across Multiple Fingerprint Sensors. BIOSIG 2021: 31-42 - [c190]Uche Osahor, Nasser M. Nasrabadi:
Quality Map Fusion for Adversarial Learning. BMVC 2021: 196 - [c189]Baaria Chaudhary, Poorya Aghdaie, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Differential Morph Face Detection Using Discriminative Wavelet Sub-Bands. CVPR Workshops 2021: 1425-1434 - [c188]Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification. CVPR 2021: 12267-12277 - [c187]Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi:
SuperMix: Supervising the Mixing Data Augmentation. CVPR 2021: 13794-13803 - [c186]Kelsey O'Haire, Sobhan Soleymani, Baaria Chaudhary, Poorya Aghdaie, Jeremy M. Dawson, Nasser M. Nasrabadi:
Adversarially Perturbed Wavelet-based Morphed Face Generation. FG 2021: 1-5 - [c185]Domenick Poster, Nasser M. Nasrabadi:
Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition. FG 2021: 1-5 - [c184]Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Attention Aware Wavelet-based Detection of Morphed Face Images. IJCB 2021: 1-8 - [c183]Amol S. Joshi, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network. IJCB 2021: 1-8 - [c182]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. ICIP 2021: 46-50 - [c181]Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands. IWBF 2021: 1-6 - [c180]Domenick Poster, Matthew Thielke, Robert Nguyen, Srinivasan Rajaraman, Xing Di, Cedric Nimpa Fondje, Vishal M. Patel, Nathaniel J. Short, Benjamin S. Riggan, Nasser M. Nasrabadi, Shuowen Hu:
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset. WACV 2021: 1558-1567 - [c179]Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection. WACV 2021: 1730-1740 - [i75]Domenick Poster, Matthew Thielke, Robert Nguyen, Srinivasan Rajaraman, Xing Di, Cedric Nimpa Fondje, Vishal M. Patel, Nathaniel J. Short, Benjamin S. Riggan, Nasser M. Nasrabadi, Shuowen Hu:
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset. CoRR abs/2101.02637 (2021) - [i74]Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
HGAN: Hybrid Generative Adversarial Network. CoRR abs/2102.03710 (2021) - [i73]Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands. CoRR abs/2106.08565 (2021) - [i72]Amol S. Joshi, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network. CoRR abs/2106.11354 (2021) - [i71]Baaria Chaudhary, Poorya Aghdaie, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Differential Morph Face Detection using Discriminative Wavelet Sub-bands. CoRR abs/2106.13178 (2021) - [i70]Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Attention Aware Wavelet-based Detection of Morphed Face Images. CoRR abs/2106.15686 (2021) - [i69]Fariborz Taherkhani, Veeru Talreja, Jeremy M. Dawson, Matthew C. Valenti, Nasser M. Nasrabadi:
Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN. CoRR abs/2107.13742 (2021) - [i68]Moktari Mostofa, Salman Mohamadi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition. CoRR abs/2108.01569 (2021) - [i67]Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Attribute Guided Sparse Tensor-Based Model for Person Re-Identification. CoRR abs/2108.04352 (2021) - [i66]Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction. CoRR abs/2108.04353 (2021) - [i65]Uche Osahor, Nasser M. Nasrabadi:
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning. CoRR abs/2110.09374 (2021) - [i64]Uche Osahor, Nasser M. Nasrabadi:
Quality Map Fusion for Adversarial Learning. CoRR abs/2110.12338 (2021) - [i63]Veeru Talreja, Nasser M. Nasrabadi, Matthew C. Valenti:
Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition. CoRR abs/2111.01325 (2021) - [i62]Kelsey O'Haire, Sobhan Soleymani, Baaria Chaudhary, Poorya Aghdaie, Jeremy M. Dawson, Nasser M. Nasrabadi:
Adversarially Perturbed Wavelet-based Morphed Face Generation. CoRR abs/2111.01965 (2021) - [i61]Salman Mohamadi, Gianfranco Doretto, Nasser M. Nasrabadi, Donald A. Adjeroh:
Human Age Estimation from Gene Expression Data using Artificial Neural Networks. CoRR abs/2111.02692 (2021) - [i60]Domenick Poster, Nasser M. Nasrabadi:
Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition. CoRR abs/2111.08738 (2021) - [i59]Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Morph Detection Enhanced by Structured Group Sparsity. CoRR abs/2111.14943 (2021) - [i58]Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Seyed Mehdi Iranmanesh, Jeremy M. Dawson, Nasser M. Nasrabadi:
Quality-Aware Multimodal Biometric Recognition. CoRR abs/2112.05827 (2021) - 2020
- [j88]Moktari Mostofa
, Syeda Nyma Ferdous, Benjamin S. Riggan, Nasser M. Nasrabadi:
Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network. IEEE Access 8: 82306-82319 (2020) - [j87]Seyed Mehdi Iranmanesh, Benjamin S. Riggan, Shuowen Hu, Nasser M. Nasrabadi:
Coupled generative adversarial network for heterogeneous face recognition. Image Vis. Comput. 94: 103861 (2020) - [j86]Fariborz Taherkhani
, Veeru Talreja
, Matthew C. Valenti
, Nasser M. Nasrabadi
:
Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval. IEEE Trans. Biom. Behav. Identity Sci. 2(3): 279-293 (2020) - [j85]Xiaoxia Sun
, Nasser M. Nasrabadi
, Trac D. Tran:
Supervised Deep Sparse Coding Networks for Image Classification. IEEE Trans. Image Process. 29: 405-418 (2020) - [c178]Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi:
Attribute Adaptive Margin Softmax Loss using Privileged Information. BMVC 2020 - [c177]Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Exploiting Joint Robustness to Adversarial Perturbations. CVPR 2020: 1119-1128 - [c176]Uche Osahor, Hadi Kazemi, Ali Dabouei, Nasser M. Nasrabadi:
Quality Guided Sketch-to-Photo Image Synthesis. CVPR Workshops 2020: 3575-3584 - [c175]Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning. ECCV (4) 2020: 509-526 - [c174]Sertac Arisoy, Nasser M. Nasrabadi, Koray Kayabol:
GAN-based Hyperspectral Anomaly Detection. EUSIPCO 2020: 1891-1895 - [c173]Moktari Mostofa, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Cross-Spectral Iris Matching Using Conditional Coupled GAN. IJCB 2020: 1-9 - [c172]Fariborz Taherkhani, Veeru Talreja, Jeremy M. Dawson, Matthew C. Valenti, Nasser M. Nasrabadi:
PF -cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild. IJCB 2020: 1-10 - [c171]Saba Heidari Gheshlaghi, Omid Dehzangi, Ali Dabouei, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
Efficient Oct Image Segmentation Using Neural Architecture Search. ICIP 2020: 428-432 - [c170]Sobhan Soleymani
, Baaria Chaudhary
, Ali Dabouei
, Jeremy M. Dawson
, Nasser M. Nasrabadi
:
Differential Morphed Face Detection Using Deep Siamese Networks. ICPR Workshops (6) 2020: 560-572 - [c169]Omid Dehzangi, Arash Shokouhmand, Paria Jeihouni, Jad Ramadan, Victor S. Finomore, Nasser M. Nasrabadi, Ali Rezai:
XGBoost to Interpret the Opioid Patients' State Based on Cognitive and Physiological Measures. ICPR 2020: 6391-6395 - [c168]Omid Dehzangi, Saba Heidari Gheshlaghi, Annahita Amireskandari, Nasser M. Nasrabadi, Ali Rezai:
OCT Image Segmentation Using Neural Architecture Search and SRGAN. ICPR 2020: 6425-6430 - [c167]Syeda Nyma Ferdous, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Super-resolution Guided Pore Detection for Fingerprint Recognition. ICPR 2020: 8085-8092 - [c166]Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Boosting Deep Face Recognition via Disentangling Appearance and Geometry. WACV 2020: 309-318 - [c165]Seyed Mehdi Iranmanesh, Ali Dabouei, Sobhan Soleymani, Hadi Kazemi, Nasser M. Nasrabadi:
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces. WACV 2020: 319-329 - [c164]Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations. WACV 2020: 2654-2663 - [c163]Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi:
Preference-Based Image Generation. WACV 2020: 3393-3402 - [i57]Seyed Mehdi Iranmanesh, Ali Dabouei, Sobhan Soleymani, Hadi Kazemi, Nasser M. Nasrabadi:
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces. CoRR abs/2001.03113 (2020) - [i56]Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Boosting Deep Face Recognition via Disentangling Appearance and Geometry. CoRR abs/2001.04559 (2020) - [i55]Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi:
SuperMix: Supervising the Mixing Data Augmentation. CoRR abs/2003.05034 (2020) - [i54]Fariborz Taherkhani, Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval. CoRR abs/2004.03378 (2020) - [i53]Moktari Mostofa, Syeda Nyma Ferdous, Benjamin S. Riggan, Nasser M. Nasrabadi:
Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network. CoRR abs/2005.00983 (2020) - [i52]Uche Osahor, Hadi Kazemi, Ali Dabouei, Nasser M. Nasrabadi:
Quality Guided Sketch-to-Photo Image Synthesis. CoRR abs/2005.02133 (2020) - [i51]Fariborz Taherkhani, Veeru Talreja, Jeremy M. Dawson, Matthew C. Valenti, Nasser M. Nasrabadi:
PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild. CoRR abs/2005.02166 (2020) - [i50]Saba Heidari Gheshlaghi, Omid Dehzangi, Ali Dabouei, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
Efficient OCT Image Segmentation Using Neural Architecture Search. CoRR abs/2007.14790 (2020) - [i49]Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi:
Attribute Adaptive Margin Softmax Loss using Privileged Information. CoRR abs/2009.01972 (2020) - [i48]Moktari Mostofa, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Cross-Spectral Iris Matching Using Conditional Coupled GAN. CoRR abs/2010.11689 (2020) - [i47]Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Differential Morphed Face Detection Using Deep Siamese Networks. CoRR abs/2012.01541 (2020) - [i46]Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection. CoRR abs/2012.01542 (2020) - [i45]Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Matching Distributions via Optimal Transport for Semi-Supervised Learning. CoRR abs/2012.03790 (2020) - [i44]Syeda Nyma Ferdous, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Super-resolution Guided Pore Detection for Fingerprint Recognition. CoRR abs/2012.05959 (2020) - [i43]Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Deep Hashing for Secure Multimodal Biometrics. CoRR abs/2012.14758 (2020)
2010 – 2019
- 2019
- [j84]Nasser M. Nasrabadi
:
DeepTarget: An Automatic Target Recognition Using Deep Convolutional Neural Networks. IEEE Trans. Aerosp. Electron. Syst. 55(6): 2687-2697 (2019) - [c162]Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi:
Matrix Completion for Graph-Based Deep Semi-Supervised Learning. AAAI 2019: 5058-5065 - [c161]Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi:
Identity-Aware Deep Face Hallucination via Adversarial Face Verification. BTAS 2019: 1-10 - [c160]Sobhan Soleymani, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Defending Against Adversarial Iris Examples UsingWavelet Decomposition. BTAS 2019: 1-9 - [c159]Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi:
Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition. BTAS 2019: 1-10 - [c158]Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Zero-Shot Deep Hashing and Neural Network Based Error Correction for Face Template Protection. BTAS 2019: 1-10 - [c157]Domenick Poster, Shuowen Hu, Nasser M. Nasrabadi, Benjamin S. Riggan:
An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery. CVPR Workshops 2019: 980-987 - [c156]Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Deep Contactless Fingerprint Unwarping. ICB 2019: 1-8 - [c155]Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Attribute-Guided Deep Polarimetric Thermal-to-visible Face Recognition. ICB 2019: 1-8 - [c154]Sobhan Soleymani, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Adversarial Examples to Fool Iris Recognition Systems. ICB 2019: 1-8 - [c153]Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Hyperspectral Band Selection for Face Recognition Based on a Structurally Sparsified Deep Convolutional Neural Networks. ICB 2019: 1-8 - [c152]Veeru Talreja, Sobhan Soleymani, Matthew C. Valenti, Nasser M. Nasrabadi:
Learning to Authenticate with Deep Multibiometric Hashing and Neural Network Decoding. ICC 2019: 1-7 - [c151]Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision. ICCV 2019: 6458-6467 - [c150]Hadi Kazemi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Style and Content Disentanglement in Generative Adversarial Networks. WACV 2019: 848-856 - [c149]Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Fast Geometrically-Perturbed Adversarial Faces. WACV 2019: 1979-1988 - [i42]Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani, Nasser M. Nasrabadi:
GASL: Guided Attention for Sparsity Learning in Deep Neural Networks. CoRR abs/1901.01939 (2019) - [i41]Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi:
Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval. CoRR abs/1902.04139 (2019) - [i40]Veeru Talreja, Sobhan Soleymani, Matthew C. Valenti, Nasser M. Nasrabadi:
Learning to Authenticate with Deep Multibiometric Hashing and Neural Network Decoding. CoRR abs/1902.04149 (2019) - [i39]Ali Takbiri-Borujeni, Hadi Kazemi, Nasser M. Nasrabadi:
A data-driven proxy to Stoke's flow in porous media. CoRR abs/1905.06327 (2019) - [i38]Sobhan Soleymani, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Adversarial Examples to Fool Iris Recognition Systems. CoRR abs/1906.09300 (2019) - [i37]Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Attribute-Guided Deep Polarimetric Thermal-to-visible Face Recognition. CoRR abs/1907.11980 (2019) - [i36]Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi:
Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition. CoRR abs/1908.01790 (2019) - [i35]Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Zero-Shot Deep Hashing and Neural Network Based Error Correction for Face Template Protection. CoRR abs/1908.02706 (2019) - [i34]Sobhan Soleymani, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Defending Against Adversarial Iris Examples Using Wavelet Decomposition. CoRR abs/1908.03176 (2019) - [i33]Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Deep Sparse Band Selection for Hyperspectral Face Recognition. CoRR abs/1908.09630 (2019) - [i32]Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi:
Identity-Aware Deep Face Hallucination via Adversarial Face Verification. CoRR abs/1909.08130 (2019) - [i31]Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations. CoRR abs/1910.03624 (2019) - 2018
- [j83]Zhengming Ding
, Nasser M. Nasrabadi
, Yun Fu:
Semi-supervised Deep Domain Adaptation via Coupled Neural Networks. IEEE Trans. Image Process. 27(11): 5214-5224 (2018) - [c148]Hadi Kazemi, Fariborz Taherkhani
, Nasser M. Nasrabadi:
Unsupervised Facial Geometry Learning for Sketch to Photo Synthesis. BIOSIG 2018: 1-5 - [c147]Domenick Poster, Nasser M. Nasrabadi, Benjamin S. Riggan:
Deep Sparse Feature Selection and Fusion for Textured Contact Lens Detection. BIOSIG 2018: 1-5 - [c146]Fariborz Taherkhani
, Veeru Talreja, Hadi Kazemi, Nasser M. Nasrabadi:
Facial Attribute Guided Deep Cross-Modal Hashing for Face Image Retrieval. BIOSIG 2018: 1-6 - [c145]Ali Dabouei, Sobhan Soleymani, Hadi Kazemi, Seyed Mehdi Iranmanesh, Jeremy M. Dawson, Nasser M. Nasrabadi:
ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction. BTAS 2018: 1-10 - [c144]Seyed Mehdi Iranmanesh, Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Nasser M. Nasrabadi:
Deep Sketch-Photo Face Recognition Assisted by Facial Attributes. BTAS 2018: 1-10 - [c143]Sobhan Soleymani, Ali Dabouei, Seyed Mehdi Iranmanesh, Hadi Kazemi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification. BTAS 2018: 1-7 - [c142]Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition. CVPR Workshops 2018: 499-507 - [c141]Fariborz Taherkhani
, Nasser M. Nasrabadi, Jeremy M. Dawson:
A Deep Face Identification Network Enhanced by Facial Attributes Prediction. CVPR Workshops 2018: 553-560 - [c140]Amir Soleimani, Nasser M. Nasrabadi:
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection. FUSION 2018: 1005-1010 - [c139]Veeru Talreja, Fariborz Taherkhani
, Matthew C. Valenti, Nasser M. Nasrabadi:
Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval. GlobalSIP 2018: 564-568 - [c138]Ali Dabouei, Hadi Kazemi, Seyed Mehdi Iranmanesh, Jeremy M. Dawson, Nasser M. Nasrabadi:
Fingerprint Distortion Rectification Using Deep Convolutional Neural Networks. ICB 2018: 1-8 - [c137]Seyed Mehdi Iranmanesh, Ali Dabouei, Hadi Kazemi, Nasser M. Nasrabadi:
Deep Cross Polarimetric Thermal-to-Visible Face Recognition. ICB 2018: 166-173 - [c136]Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Supervised Deep Sparse Coding Networks. ICIP 2018: 346-350 - [c135]Sobhan Soleymani, Amirsina Torfi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification. ICIP 2018: 763-767 - [c134]Benjamin S. Riggan, Nathaniel J. Short, M. Saquib Sarfraz, Shuowen Hu, He Zhang, Vishal M. Patel, Sanka Rasnayaka
, Jing Li, Terence Sim, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Icme Grand Challenge Results on Heterogeneous Face Recognition: Polarimetric Thermal-to-Visible Matching. ICME Workshops 2018: 1-4 - [c133]Amirsina Torfi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Text-Independent Speaker Verification Using 3D Convolutional Neural Networks. ICME 2018: 1-6 - [c132]Sobhan Soleymani, Ali Dabouei, Hadi Kazemi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification. ICPR 2018: 3469-3476 - [c131]Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound. NeurIPS 2018: 10369-10379 - [c130]Hadi Kazemi, Seyed Mehdi Iranmanesh, Ali Dabouei, Sobhan Soleymani, Nasser M. Nasrabadi:
Facial Attributes Guided Deep Sketch-to-Photo Synthesis. WACV Workshops 2018: 1-8 - [c129]Oytun Ulutan, Benjamin S. Riggan, Nasser M. Nasrabadi, B. S. Manjunath:
An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data. WACV 2018: 1160-1169 - [i30]Ali Dabouei, Hadi Kazemi, Seyed Mehdi Iranmanesh, Jeremy M. Dawson, Nasser M. Nasrabadi:
Fingerprint Distortion Rectification using Deep Convolutional Neural Networks. CoRR abs/1801.01198 (2018) - [i29]Seyed Mehdi Iranmanesh, Ali Dabouei, Hadi Kazemi, Nasser M. Nasrabadi:
Deep Cross Polarimetric Thermal-to-visible Face Recognition. CoRR abs/1801.01486 (2018) - [i28]Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition. CoRR abs/1804.03082 (2018) - [i27]Fariborz Taherkhani, Nasser M. Nasrabadi, Jeremy M. Dawson:
A Deep Face Identification Network Enhanced by Facial Attributes Prediction. CoRR abs/1805.00324 (2018) - [i26]Sobhan Soleymani, Amirsina Torfi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification. CoRR abs/1807.01298 (2018) - [i25]Sobhan Soleymani, Ali Dabouei, Hadi Kazemi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification. CoRR abs/1807.01332 (2018) - [i24]Amir Soleimani, Nasser M. Nasrabadi:
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection. CoRR abs/1807.05983 (2018) - [i23]Ali Dabouei, Sobhan Soleymani, Hadi Kazemi, Seyed Mehdi Iranmanesh, Jeremy M. Dawson, Nasser M. Nasrabadi:
ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction. CoRR abs/1808.00035 (2018) - [i22]Seyed Mehdi Iranmanesh, Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Nasser M. Nasrabadi:
Deep Sketch-Photo Face Recognition Assisted by Facial Attributes. CoRR abs/1808.00059 (2018) - [i21]Sobhan Soleymani, Ali Dabouei, Seyed Mehdi Iranmanesh, Hadi Kazemi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification. CoRR abs/1808.01026 (2018) - [i20]Amir Soleimani, Nasser M. Nasrabadi, Elias J. Griffith, Jason F. Ralph, Simon Maskell:
Convolutional Neural Networks for Aerial Vehicle Detection and Recognition. CoRR abs/1808.08560 (2018) - [i19]Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Fast Geometrically-Perturbed Adversarial Faces. CoRR abs/1809.08999 (2018) - [i18]Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi:
Unsupervised Facial Geometry Learning for Sketch to Photo Synthesis. CoRR abs/1810.05361 (2018) - [i17]Hadi Kazemi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Style and Content Disentanglement in Generative Adversarial Networks. CoRR abs/1811.05621 (2018) - [i16]Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound. CoRR abs/1811.11979 (2018) - 2017
- [j82]Amirsina Torfi
, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi, Jeremy M. Dawson:
3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition. IEEE Access 5: 22081-22091 (2017) - [j81]Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III:
Learning to Classify With Possible Sensor Failures. IEEE Trans. Signal Process. 65(4): 836-849 (2017) - [c128]Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Multibiometric secure system based on deep learning. GlobalSIP 2017: 298-302 - [c127]Tuan Dao, Amit K. Roy-Chowdhury, Nasser M. Nasrabadi, Srikanth V. Krishnamurthy
, Prasant Mohapatra, Lance M. Kaplan:
Accurate and Timely Situation Awareness Retrieval from a Bandwidth Constrained Camera Network. MASS 2017: 416-425 - [i15]Ding Liu, Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Learning a Mixture of Deep Networks for Single Image Super-Resolution. CoRR abs/1701.00823 (2017) - [i14]Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Supervised Multilayer Sparse Coding Networks for Image Classification. CoRR abs/1701.08349 (2017) - [i13]Amirsina Torfi
, Nasser M. Nasrabadi, Jeremy M. Dawson:
Text-Independent Speaker Verification Using 3D Convolutional Neural Networks. CoRR abs/1705.09422 (2017) - [i12]Amirsina Torfi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi, Jeremy M. Dawson:
Coupled 3D Convolutional Neural Networks for Audio-Visual Recognition. CoRR abs/1706.05739 (2017) - [i11]Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Multibiometric Secure System Based on Deep Learning. CoRR abs/1708.02314 (2017) - [i10]Oytun Ulutan, Benjamin S. Riggan, Nasser M. Nasrabadi, B. S. Manjunath:
An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data. CoRR abs/1712.07721 (2017) - 2016
- [j80]Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, William Kenneth Jenkins:
Multimodal Task-Driven Dictionary Learning for Image Classification. IEEE Trans. Image Process. 25(1): 24-38 (2016) - [j79]Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran:
Collaborative Multi-Sensor Classification Via Sparsity-Based Representation. IEEE Trans. Signal Process. 64(9): 2400-2415 (2016) - [c126]Ding Liu
, Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Learning a Mixture of Deep Networks for Single Image Super-Resolution. ACCV (3) 2016: 145-156 - [c125]Christopher Reale, Nasser M. Nasrabadi, Heesung Kwon, Rama Chellappa:
Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition. CVPR Workshops 2016: 320-328 - [c124]Minh Dao, Tung-Duong Tran-Luu, Nasser M. Nasrabadi:
Sparsity-based fusion of multiple sensors and multiple features for acoustic transients classification. GlobalSIP 2016: 182-186 - [c123]Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Invariant hierarchical sparse coding for object recognition via bags of atoms. GlobalSIP 2016: 212-216 - [c122]Christopher Reale, Nasser M. Nasrabadi, Rama Chellappa:
An analysis of the robustness of deep face recognition networks to noisy training labels. GlobalSIP 2016: 1192-1196 - [c121]Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Sparse coding with fast image alignment via large displacement optical flow. ICASSP 2016: 2404-2408 - [c120]Zhengming Ding, Nasser M. Nasrabadi, Yun Fu:
Task-driven deep transfer learning for image classification. ICASSP 2016: 2414-2418 - [c119]Muchen Wu, Nasser M. Nasrabadi, Srikanth V. Krishnamurthy
, Prasant Mohapatra:
Resource-aware fusion in multimodal sensing under network constraints. INFOCOM Workshops 2016: 259-264 - 2015
- [j78]Benjamin S. Riggan, Christopher Reale, Nasser M. Nasrabadi:
Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition. IEEE Access 3: 1620-1632 (2015) - [j77]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 J. Sel. Top. Signal Process. 9(6): 1142-1155 (2015) - [j76]Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga:
Graph-Based Sensor Fusion for Classification of Transient Acoustic Signals. IEEE Trans. Cybern. 45(3): 576-587 (2015) - [j75]Zhangyang Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Semisupervised Hyperspectral Classification Using Task-Driven Dictionary Learning With Laplacian Regularization. IEEE Trans. Geosci. Remote. Sens. 53(3): 1161-1173 (2015) - [j74]Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Task-Driven Dictionary Learning for Hyperspectral Image Classification With Structured Sparsity Constraints. IEEE Trans. Geosci. Remote. Sens. 53(8): 4457-4471 (2015) - [c118]Boyu Lu, Rama Chellappa, Nasser M. Nasrabadi:
Incremental Dictionary Learning for Unsupervised Domain Adaptation. BMVC 2015: 108.1-108.12 - [c117]Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, Kenneth W. Jenkins:
Kernel task-driven dictionary learning for hyperspectral image classification. ICASSP 2015: 1324-1328 - [c116]Yang Zhang, Nasser M. Nasrabadi, Mark Hasegawa-Johnson:
Multichannel transient acoustic signal classification using task-driven dictionary with joint sparsity and beamforming. ICASSP 2015: 1866-1870 - [c115]Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III:
Semi-supervised multi-sensor classification via consensus-based Multi-View Maximum Entropy Discrimination. ICASSP 2015: 1936-1940 - [c114]Minh Dao, Nasser M. Nasrabadi, Trac D. Tran:
Multi-sensor classification via sparsity-based representation with low-rank interference. ICASSP 2015: 2409-2413 - [c113]Boyu Lu, Nasser M. Nasrabadi:
Task-driven dictionary learning with different Laplacian priors for hyperspectral image classification. IGARSS 2015: 2868-2871 - [i9]Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints. CoRR abs/1502.00836 (2015) - [i8]Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, W. Kenneth Jenkins:
Multimodal Task-Driven Dictionary Learning for Image Classification. CoRR abs/1502.01094 (2015) - [i7]Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, Kenneth W. Jenkins:
Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification. CoRR abs/1502.03126 (2015) - [i6]Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III:
Semi-supervised Multi-sensor Classification via Consensus-based Multi-View Maximum Entropy Discrimination. CoRR abs/1507.01269 (2015) - [i5]Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III:
Learning to classify with possible sensor failures. CoRR abs/1507.04540 (2015) - [i4]Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Sparse Coding with Fast Image Alignment via Large Displacement Optical Flow. CoRR abs/1512.06709 (2015) - 2014
- [j73]Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran:
Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 11(7): 1235-1239 (2014) - [j72]Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Joint Sparse Representation for Robust Multimodal Biometrics Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 113-126 (2014) - [j71]Nasser M. Nasrabadi:
Hyperspectral Target Detection : An Overview of Current and Future Challenges. IEEE Signal Process. Mag. 31(1): 34-44 (2014) - [j70]Vishal M. Patel, Glenn R. Easley, Rama Chellappa, Nasser M. Nasrabadi:
Separated Component-Based Restoration of Speckled SAR Images. IEEE Trans. Geosci. Remote. Sens. 52(2): 1019-1029 (2014) - [j69]Qing Qu, Nasser M. Nasrabadi, Trac D. Tran:
Abundance Estimation for Bilinear Mixture Models via Joint Sparse and Low-Rank Representation. IEEE Trans. Geosci. Remote. Sens. 52(7): 4404-4423 (2014) - [j68]Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Spatial-Spectral Classification of Hyperspectral Images Using Discriminative Dictionary Designed by Learning Vector Quantization. IEEE Trans. Geosci. Remote. Sens. 52(8): 4808-4822 (2014) - [c112]Zhaowen Wang, Zhangyang Wang, Mark Moll
, Po-Sen Huang, Devin K. Grady, Nasser M. Nasrabadi, Thomas S. Huang, Lydia E. Kavraki
, Mark Hasegawa-Johnson:
Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP. CVPR Workshops 2014: 754-761 - [c111]Soheil Bahrampour, Asok Ray, Nasser M. Nasrabadi, Kenneth W. Jenkins:
Quality-Based Multimodal Classification Using Tree-Structured Sparsity. CVPR 2014: 4114-4121 - [c110]Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III:
Learning to classify with possible sensor failures. ICASSP 2014: 2395-2399 - [c109]Qing Qu, Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Subspace vertex pursuit for separable non-negative matrix factorization in hyperspectral unmixing. ICASSP 2014: 8115-8119 - [c108]Christopher Reale, Nasser M. Nasrabadi, Rama Chellappa:
Coupled dictionaries for thermal to visible face recognition. ICIP 2014: 328-332 - [c107]Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Task-driven dictionary learning for hyperspectral image classification with structured sparsity priors. ICIP 2014: 5262-5266 - [i3]Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran:
Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification. CoRR abs/1401.3818 (2014) - [i2]Soheil Bahrampour, Asok Ray, Nasser M. Nasrabadi, Kenneth W. Jenkins:
Quality-based Multimodal Classification Using Tree-Structured Sparsity. CoRR abs/1403.1902 (2014) - [i1]Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran:
Collaborative Multi-sensor Classification via Sparsity-based Representation. CoRR abs/1410.7876 (2014) - 2013
- [j67]Yanning Zhang, Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang:
Multi-metric learning for multi-sensor fusion based classification. Inf. Fusion 14(4): 431-440 (2013) - [j66]Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran:
Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models. IEEE Geosci. Remote. Sens. Lett. 10(3): 505-509 (2013) - [j65]Soheil Bahrampour, Asok Ray, Soumalya Sarkar, Thyagaraju Damarla, Nasser M. Nasrabadi:
Performance comparison of feature extraction algorithms for target detection and classification. Pattern Recognit. Lett. 34(16): 2126-2134 (2013) - [j64]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Hyperspectral Image Classification via Kernel Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 51(1): 217-231 (2013) - [j63]Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Design of Non-Linear Kernel Dictionaries for Object Recognition. IEEE Trans. Image Process. 22(12): 5123-5135 (2013) - [c106]Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga:
Graph-based multi-sensor fusion for acoustic signal classification. ICASSP 2013: 261-265 - [c105]Qing Qu, Nasser M. Nasrabadi, Trac D. Tran:
Hyperspectral abundance estimation for the generalized bilinear model with joint sparsity constraint. ICASSP 2013: 2129-2133 - [c104]Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Discriminative and compact dictionary design for Hyperspectral Image classification using learning VQ framework. ICASSP 2013: 3427-3431 - [c103]Zhaowen Wang, Jianchao Yang, Nasser M. Nasrabadi, Thomas S. Huang:
A Max-Margin Perspective on Sparse Representation-Based Classification. ICCV 2013: 1217-1224 - [c102]Zhaowen Wang, Jianchao Yang, Nasser M. Nasrabadi, Jiangping Wang, Thomas S. Huang:
Opportunistic sensing for object recognition - A unified formulation for dynamic sensor selection and feature extraction. ICME 2013: 1-6 - [c101]Qing Qu, Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran:
Low rank representation for bilinear abundance estimation problem. WHISPERS 2013: 1-4 - 2012
- [j62]Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang:
Joint dynamic sparse representation for multi-view face recognition. Pattern Recognit. 45(4): 1290-1298 (2012) - [j61]Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang:
Multi-View Automatic Target Recognition using Joint Sparse Representation. IEEE Trans. Aerosp. Electron. Syst. 48(3): 2481-2497 (2012) - [j60]Haichao Zhang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang:
Joint-Structured-Sparsity-Based Classification for Multiple-Measurement Transient Acoustic Signals. IEEE Trans. Syst. Man Cybern. Part B 42(6): 1586-1598 (2012) - [c100]Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Joint Sparsity-Based Robust Multimodal Biometrics Recognition. ECCV Workshops (3) 2012: 365-374 - [c99]Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction. ECCV (6) 2012: 414-427 - [c98]Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran:
Multi-sensor joint kernel sparse representation for personnel detection. EUSIPCO 2012: 739-743 - [c97]Haichao Zhang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang:
Kernel multi-metric learning for multi-channel transient acoustic signal classification. ICASSP 2012: 1989-1992 - [c96]Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Kernel dictionary learning. ICASSP 2012: 2021-2024 - [c95]Haichao Zhang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang:
Joint dynamic sparse learning and its application to multi-view face recognition. ICPR 2012: 1671-1674 - [c94]Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran:
Discriminative graphical models for sparsity-based hyperspectral target detection. IGARSS 2012: 1489-1492 - [c93]João M. Romano, Dalton S. Rosario, Nasser M. Nasrabadi:
Covariance trace for polarimetric anomaly detection. IGARSS 2012: 4233-4236 - [c92]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Kernel sparse representation for hyperspectral target detection. IGARSS 2012: 7484-7487 - [c91]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Discriminative dictionary design using LVQ for hyperspectral image classification. WHISPERS 2012: 1-4 - 2011
- [j59]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Sparse Representation for Target Detection in Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 5(3): 629-640 (2011) - [j58]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Simultaneous Joint Sparsity Model for Target Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 8(4): 676-680 (2011) - [j57]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Hyperspectral Image Classification Using Dictionary-Based Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 49(10): 3973-3985 (2011) - [c90]Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran:
Robust multi-sensor classification via joint sparse representation. FUSION 2011: 1-8 - [c89]Haichao Zhang, Thomas S. Huang, Nasser M. Nasrabadi, Yanning Zhang:
Heterogeneous multi-metric learning for multi-sensor fusion. FUSION 2011: 1-8 - [c88]Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang:
Transient acoustic signal classification using joint sparse representation. ICASSP 2011: 2220-2223 - [c87]Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang:
Multi-observation visual recognition via joint dynamic sparse representation. ICCV 2011: 595-602 - [c86]Haichao Zhang, Jianchao Yang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang:
Close the loop: Joint blind image restoration and recognition with sparse representation prior. ICCV 2011: 770-777 - [c85]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Hyperspectral image classification via kernel sparse representation. ICIP 2011: 1233-1236 - [c84]Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang:
Multi-view face recognition via joint dynamic sparse representation. ICIP 2011: 3025-3028 - [c83]Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran:
Robust Lasso with missing and grossly corrupted observations. NIPS 2011: 1881-1889 - [c82]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Random projection as dimensionality reduction and its effect on classical target recognition and anomaly detection techniques. WHISPERS 2011: 1-4 - 2010
- [c81]Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Automatic target recognition based on simultaneous sparse representation. ICIP 2010: 1377-1380 - [c80]Asif Mehmood, Nasser M. Nasrabadi:
Anomaly Detection for Longwave FLIR Imagery Using Kernel Wavelet-RX. ICPR 2010: 1385-1388 - [c79]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Sparsity-based classification of hyperspectral imagery. IGARSS 2010: 2796-2799 - [c78]Yi Chen, Nasser M. Nasrabadi, Trac D. Tran:
Classification for hyperspectral imagery based on sparse representation. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j56]Lance M. Kaplan, Nasser M. Nasrabadi:
Block Wiener-based image registration for moving target indication. Image Vis. Comput. 27(6): 694-703 (2009) - [j55]Michael T. Eismann, Alan D. Stocker, Nasser M. Nasrabadi:
Automated Hyperspectral Cueing for Civilian Search and Rescue. Proc. IEEE 97(6): 1031-1055 (2009) - [c77]Nasser M. Nasrabadi:
Wiener Prediction-based Change Detection for Locating Mines in Multilook SAR Imagery. IGARSS (2) 2009: 113-116 - [c76]Nasser M. Nasrabadi:
Kernel subspace-based anomaly detection for hyperspectral imagery. WHISPERS 2009: 1-4 - [e1]Jaakko Astola, Karen O. Egiazarian, Nasser M. Nasrabadi, Syed A. Rizvi:
Image Processing: Algorithms and Systems VII, San Jose, California, USA, January 19-22, 2009. SPIE Proceedings 7245, SPIE 2009, ISBN 978-0-8194-7495-7 [contents] - 2008
- [j54]Nasser M. Nasrabadi:
Regularized Spectral Matched Filter for Target Recognition in Hyperspectral Imagery. IEEE Signal Process. Lett. 15: 317-320 (2008) - [c75]Nasser M. Nasrabadi:
A nonlinear kernel-based joint fusion/detection of anomalies using Hyperspectral and SAR imagery. ICIP 2008: 1864-1867 - [c74]Nasser M. Nasrabadi:
Joint fusion and detection of mines using hyperspectral and SAR data. Image Processing: Algorithms and Systems 2008: 68120 - 2007
- [j53]Heesung Kwon, Nasser M. Nasrabadi:
A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery. EURASIP J. Adv. Signal Process. 2007 (2007) - [j52]Heesung Kwon, Nasser M. Nasrabadi:
Kernel Spectral Matched Filter for Hyperspectral Imagery. Int. J. Comput. Vis. 71(2): 127-141 (2007) - [j51]Christopher M. Bishop, Nasser M. Nasrabadi:
Pattern Recognition and Machine Learning. J. Electronic Imaging 16(4): 049901 (2007) - [j50]Hirsh R. Goldberg, Heesung Kwon, Nasser M. Nasrabadi:
Kernel Eigenspace Separation Transform for Subspace Anomaly Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 4(4): 581-585 (2007) - [c73]Nasser M. Nasrabadi:
Regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery. ICIP (4) 2007: 105-108 - [c72]Nasser M. Nasrabadi:
Penalized spectral matched filter for target detection in hyperspectral imagery. IGARSS 2007: 4830-4833 - [c71]Nasser M. Nasrabadi:
Kernel-Based Spectral Matched Signal Detectors for Hyperspectral Target Detection. PReMI 2007: 67-76 - 2006
- [j49]Heesung Kwon, Nasser M. Nasrabadi:
Kernel adaptive subspace detector for hyperspectral imagery. IEEE Geosci. Remote. Sens. Lett. 3(2): 271-275 (2006) - [j48]Heesung Kwon, Nasser M. Nasrabadi:
Kernel Matched Subspace Detectors for Hyperspectral Target Detection. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 178-194 (2006) - 2005
- [j47]Heesung Kwon, Nasser M. Nasrabadi:
Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery. IEEE Trans. Geosci. Remote. Sens. 43(2): 388-397 (2005) - [j46]Heesung Kwon, Nasser M. Nasrabadi:
Kernel orthogonal subspace projection for hyperspectral signal classification. IEEE Trans. Geosci. Remote. Sens. 43(12): 2952-2962 (2005) - [j45]LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi:
A joint compression-discrimination neural transformation applied to target detection. IEEE Trans. Syst. Man Cybern. Part B 35(4): 670-681 (2005) - [c70]Heesung Kwon, Nasser M. Nasrabadi:
Kernel Matched Signal Detectors for Hyperspectral Target Detection. CVPR Workshops 2005: 6 - [c69]Nasser M. Nasrabadi, Heesung Kwon:
Kernel spectral matched filter for hyperspectral target detection. ICASSP (4) 2005: 665-668 - [c68]Heesung Kwon, Nasser M. Nasrabadi:
Kernel adaptive subspace detector for hyperspectral target detection. ICASSP (4) 2005: 681-684 - [c67]Heesung Kwon, Nasser M. Nasrabadi:
Hyperspectral target detection using kernel orthogonal subspace projection. ICIP (2) 2005: 702-705 - 2004
- [c66]Heesung Kwon, Nasser M. Nasrabadi:
Hyperspectral Target Detection Using Kernel Spectral Matched Filter. CVPR Workshops 2004: 127 - [c65]Heesung Kwon, Nasser M. Nasrabadi:
Hyperspectral target detection using kernel matched subspace detector. ICIP 2004: 3327-3330 - [c64]Heesung Kwon, Nasser M. Nasrabadi:
Hyperspectral anomaly detection using kernel rx-algorithm. ICIP 2004: 3331-3334 - 2003
- [j44]LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi:
Dualband FLIR fusion for automatic target recognition. Inf. Fusion 4(1): 35-45 (2003) - [j43]Syed A. Rizvi, Nasser M. Nasrabadi:
Fusion of FLIR automatic target recognition algorithms. Inf. Fusion 4(4): 247-258 (2003) - [c63]Syed A. Rizvi, Nasser M. Nasrabadi:
Fusion Techniques for Automatic Target Recognition. AIPR 2003: 27-32 - [c62]Mehrdad Soumekh, Susan S. Young, Nasser M. Nasrabadi:
Time series processing of FLIR imagery for MTI and change detection. ICASSP (5) 2003: 21-24 - [c61]LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi:
Improved target detector for FLIR imagery. ICASSP (2) 2003: 401-404 - [c60]Susan S. Young, Nasser M. Nasrabadi, Mehrdad Soumekh:
Clutter rejection in FLIR imagery using spatially-varying adaptive filtering. ICIP (1) 2003: 837-840 - [c59]Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi:
Projection-based adaptive anomaly detection for hyperspectral imagery. ICIP (1) 2003: 1001-1004 - 2002
- [j42]Syed A. Rizvi, Nasser M. Nasrabadi:
A modular clutter rejection technique for FLIR imagery using region-based principal component analysis. Pattern Recognit. 35(12): 2895-2904 (2002) - [c58]Shaorong Chang, Nasser M. Nasrabadi, Lawrence Carin
:
Infrared-image classification using support vector machines. ICASSP 2002: 4168 - 2001
- [j41]Baoxin Li, Rama Chellappa, Qinfen Zheng, Sandor Z. Der, Nasser M. Nasrabadi, LipChen Alex Chan, Lin-Cheng Wang:
Experimental Evaluation of FLIR ATR Approaches - A Comparative Study. Comput. Vis. Image Underst. 84(1): 5-24 (2001) - [c57]Heesung Kwon, Nasser M. Nasrabadi:
An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery. ICIP (1) 2001: 74-77 - [c56]Sandor Z. Der, LipChen Alex Chan, Nasser M. Nasrabadi:
Joint compression and discrimination algorithm for clutter rejection. ICIP (1) 2001: 525-528 - [c55]Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi:
Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery. VCIP 2001: 144-152 - 2000
- [j40]Syed A. Rizvi, Tarek N. Saadawi, Nasser M. Nasrabadi:
A clutter rejection technique for FLIR imagery using region based principal component analysis. Pattern Recognit. 33(11): 1931-1933 (2000) - [j39]Mahesh Venkatraman, Heesung Kwon, Nasser M. Nasrabadi:
Object-based SAR image compression using vector quantization. IEEE Trans. Aerosp. Electron. Syst. 36(4): 1036-1046 (2000) - [c54]LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi:
Automatic target detection using dualband infrared imagery. ICASSP 2000: 2286-2289 - [c53]LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi:
Dual-Band Passive Infrared Imagery for Automatic Clutter Rejection. ICIP 2000: 463-466 - [c52]Syed A. Rizvi, Tarek N. Saadawi, Nasser M. Nasrabadi:
A Modular Clutter Rejection Technique for FLIR Imagery Using Region-Based Principal Component Analysis. ICIP 2000: 475-478 - [c51]Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi:
An Adaptive Hierarchical Segmentation Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery. ICIP 2000: 776-779
1990 – 1999
- 1999
- [j38]Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi:
Rate-constrained modular predictive residual vector quantization of digital images. IEEE Signal Process. Lett. 6(6): 135-137 (1999) - [c50]Mahesh Venkatraman, Nasser M. Nasrabadi:
An admission control framework to support media-streaming over packet-switched networks. ICC 1999: 1357-1361 - [c49]LipChen Alex Chan, Nasser M. Nasrabadi, Don J. Torrieri:
Bipolar Elgenspace Separation Transformation for Automatic Clutter Rejection. ICIP (1) 1999: 139-142 - [c48]Syed A. Rizvi, Nasser M. Nasrabadi, Sandor Z. Der:
A Clutter Rejection Technique for FLIR Imagery Using Region-Based Principal Component Analysis. ICIP (4) 1999: 415-419 - [c47]Syed A. Rizvi, Nasser M. Nasrabadi:
Lossless Image Compression Using Modular Differential Pulse Code Modulation. ICIP (1) 1999: 440-443 - [c46]LipChen Alex Chan, Nasser M. Nasrabadi, Don J. Torrieri:
Selectively optimized networks for automatic clutter rejection. IJCNN 1999: 3161-3164 - 1998
- [j37]Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi:
Multiscale video compression using adaptive finite-state vector quantization. J. Electronic Imaging 7(4): 725-739 (1998) - [j36]Rama Chellappa, Kunihiko Fukushima, Aggelos K. Katsaggelos, Sun-Yuan Kung, Yann LeCun, Nasser M. Nasrabadi, Tomaso A. Poggio:
Guest Editorial Applications Of Artificial Neural Networks To Image Processing. IEEE Trans. Image Process. 7(8): 1093-1096 (1998) - [j35]Lin-Cheng Wang, Sandor Z. Der, Nasser M. Nasrabadi:
Automatic target recognition using a feature-decomposition and data-decomposition modular neural network. IEEE Trans. Image Process. 7(8): 1113-1121 (1998) - [j34]Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi:
A modular neural network vector predictor for predictive image coding. IEEE Trans. Image Process. 7(8): 1198-1217 (1998) - [c45]Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi:
Very-Low-Bit-Rate Video Coding using Quadtree Decomposition and Cache-based Vector Quantization. ICIP (3) 1998: 962-966 - 1997
- [j33]LipChen Alex Chan, Nasser M. Nasrabadi:
An Application of Wavelet-Based Vector Quantization in Target Recognition. Int. J. Artif. Intell. Tools 6(2): 165-178 (1997) - [j32]Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi:
Very Low Bit-Rate Video Coding Using Variable Block-Size Entropy-Constrained Residual Vector Quantizers. IEEE J. Sel. Areas Commun. 15(9): 1714-1725 (1997) - [j31]Syed A. Rizvi, Nasser M. Nasrabadi:
Finite-state residual vector quantization using a tree-structured competitive neural network. IEEE Trans. Circuits Syst. Video Technol. 7(2): 377-390 (1997) - [j30]Susan S. Young, Peter D. Scott, Nasser M. Nasrabadi:
Object recognition using multilayer Hopfield neural network. IEEE Trans. Image Process. 6(3): 357-372 (1997) - [j29]Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi:
Nonlinear vector prediction using feed-forward neural networks. IEEE Trans. Image Process. 6(10): 1431-1436 (1997) - [c44]Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi:
A predictive residual VQ using modular neural network vector predictor. ICASSP 1997: 2953-2956 - [c43]Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi:
Rate-Constrained Modular Predictive Residual Vector Quantization. ICIP (3) 1997: 102-105 - [c42]Lin-Cheng Wang, LipChen Alex Chan, Nasser M. Nasrabadi, Sandor Z. Der:
Combination of Two Learning Algorithms for Automatic Target Recognition. ICIP (1) 1997: 881-884 - [c41]Lin-Cheng Wang, Nasser M. Nasrabadi, Sandor Z. Der:
Asymptotical analysis of a modular neural network. ICNN 1997: 1019-1022 - [c40]Lin-Cheng Wang, Sandor Z. Der, Nasser M. Nasrabadi:
A committee of networks classifier with multi-resolution feature extraction for automatic target recognition. ICNN 1997: 1596-1601 - 1996
- [j28]Giovanni Seni, Rohini K. Srihari, Nasser M. Nasrabadi:
Large Vocabulary Recognition of On-Line Handwritten Cursive Words. IEEE Trans. Pattern Anal. Mach. Intell. 18(7): 757-762 (1996) - [j27]Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi:
Neural network architectures for vector prediction. Proc. IEEE 84(10): 1513-1528 (1996) - [j26]Christopher F. Barnes, Syed A. Rizvi, Nasser M. Nasrabadi:
Advances in residual vector quantization: a review. IEEE Trans. Image Process. 5(2): 226-262 (1996) - [j25]Nader Mohsenian, Homayoun Shahri, Nasser M. Nasrabadi:
Scalar-vector quantization of medical images. IEEE Trans. Image Process. 5(2): 387-392 (1996) - [j24]Jae-Soo Kim, Sahng H. Park, Patrick W. Dowd, Nasser M. Nasrabadi:
Channel assignment in cellular radio using genetic algorithms. Wirel. Pers. Commun. 3(3): 273-286 (1996) - [c39]LipChen Alex Chan, Nasser M. Nasrabadi, Vincent Mirelli:
Multi-Stage Target Recognition Using Modular Vector Quantizers and Multilayer Perceptrons. CVPR 1996: 114-119 - [c38]Euee S. Jang, Heesung Kwon, Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi:
Segmentation based wavelet coding of digital images. ICASSP 1996: 1878-1881 - [c37]Sahng H. Park, Hyeon J. Moon, Nasser M. Nasrabadi:
Subband image coding using block-zero tree coding and vector quantization. ICASSP 1996: 2052-2055 - [c36]LipChen Alex Chan, Nasser M. Nasrabadi, Vincent Mirelli:
Automatic target recognition using modularly cascaded vector quantizers and multilayer perceptrons. ICASSP 1996: 3386-3389 - [c35]Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi:
A modular neural network vector predictor for predictive VQ. ICIP (3) 1996: 431-434 - 1995
- [j23]Syed A. Rizvi, Nasser M. Nasrabadi:
Variable-rate predictive residual vector quantizer. IEEE Signal Process. Lett. 2(4): 70-72 (1995) - [j22]Euee S. Jang, Nasser M. Nasrabadi:
Subband coding with multistage VQ for wireless image communication. IEEE Trans. Circuits Syst. Video Technol. 5(3): 247-253 (1995) - [j21]Syed A. Rizvi, Nasser M. Nasrabadi:
An efficient Euclidean distance computation for vector quantization using a truncated look-up table. IEEE Trans. Circuits Syst. Video Technol. 5(4): 370-371 (1995) - [j20]Syed A. Rizvi, Nasser M. Nasrabadi:
Predictive residual vector quantization [image coding]. IEEE Trans. Image Process. 4(11): 1482-1495 (1995) - [j19]Nasser M. Nasrabadi, Syed A. Rizvi:
Next-state functions for finite-state vector quantization. IEEE Trans. Image Process. 4(12): 1592-1601 (1995) - [c34]Susan S. Young, Nasser M. Nasrabadi, Mehrdad Soumekh:
SAR moving target detection and identification using stochastic gradient techniques. ICASSP 1995: 2145-2148 - [c33]Chang Y. Choo, Erik Kristenson, Nasser M. Nasrabadi, Xiaonong Ran:
A hashing-based scheme for organizing vector quantization codebook. ICASSP 1995: 2495-2498 - [c32]Syed A. Rizvi, Nasser M. Nasrabadi:
Finite state residual vector quantization using tree-structured competitive neural network. ICASSP 1995: 2579-2582 - [c31]Syed A. Rizvi, Nasser M. Nasrabadi, Lin-Cheng Wang:
Entropy-constrained predictive residual vector quantization of digital images. ICIP (3) 1995: 272-275 - [c30]Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi:
Neural network vector predictors with application to image coding. ICIP (3) 1995: 296-299 - 1994
- [j18]Syed A. Rizvi, Nasser M. Nasrabadi:
Residual vector quantization using a multilayer competitive neural network. IEEE J. Sel. Areas Commun. 12(9): 1452-1459 (1994) - [j17]Peter P. Polit, Nasser M. Nasrabadi:
A New Image and Video Compression Technique in an Asynchronous Transfer Mode Network Environment. J. Vis. Commun. Image Represent. 5(3): 221-235 (1994) - [j16]Syed A. Rizvi, Nasser M. Nasrabadi:
Predictive vector quantizer using constrained optimization. IEEE Signal Process. Lett. 1(1): 15-18 (1994) - [j15]Nasser M. Nasrabadi, Chang Y. Choo, Yushu Feng:
Dynamic finite-state vector quantization of digital images. IEEE Trans. Commun. 42(5): 2145-2154 (1994) - [j14]Nader Mohsenian, Nasser M. Nasrabadi:
Edge-based subband VQ techniques for images and video. IEEE Trans. Circuits Syst. Video Technol. 4(1): 53-67 (1994) - [c29]Giovanni Seni, Nasser M. Nasrabadi, Rohini K. Srihari:
An on-line cursive word recognition system. CVPR 1994: 404-410 - [c28]Susan S. Young, Peter D. Scott, Nasser M. Nasrabadi:
Object recognition using multi-layer Hopfield neural network. CVPR 1994: 417-422 - [c27]Nasser M. Nasrabadi, Syed A. Rizvi:
Next-state functions for finite-state vector quantization. ICASSP (5) 1994: 617-620 - [c26]Mahesh Venkatraman, Nasser M. Nasrabadi:
Constrained Gradient Descent Algorithm for Residual Vector Quantizer Design. ICIP (1) 1994: 124-128 - [c25]Chang Y. Choo, Nasser M. Nasrabadi:
Evaluation of Design Parameters for a Cache Vector Quantization System. ICIP (1) 1994: 129-133 - [c24]Syed A. Rizvi, Nasser M. Nasrabadi:
Predictive Residual Vector Quantization. ICIP (1) 1994: 608-612 - [c23]Syed A. Rizvi, Nasser M. Nasrabadi:
Predictive residual vector quantization. ICPR (3) 1994: 178-180 - 1993
- [j13]Wei Li, Nasser M. Nasrabadi:
Invariant Object Recognition Based on A Neural Network of Cascaded RCE Nets. Int. J. Pattern Recognit. Artif. Intell. 7(4): 815-829 (1993) - [c22]Nader Mohsenian, Nasser M. Nasrabadi:
Predictive vector quantization using a neural network. ICASSP (5) 1993: 245-248 - [c21]Nasser M. Nasrabadi, Nader Mohsenian, Hon-Tung Mak, Syed A. Rizvi:
Next-state functions for finite-state vector quantization. VCIP 1993 - 1992
- [j12]Nader Mohsenian, Nasser M. Nasrabadi:
Composite predictive vector quantizer for encoding of still images. J. Electronic Imaging 1(3): 313-321 (1992) - [j11]Nasser M. Nasrabadi, Chang Y. Choo, Jennifer U. Roy:
Interframe Hierarchical Address-Vector Quantization. IEEE J. Sel. Areas Commun. 10(5): 960-967 (1992) - [j10]Nasser M. Nasrabadi:
A Stereo Vision Technique Using Curve-Segments and Relaxation Matching. IEEE Trans. Pattern Anal. Mach. Intell. 14(5): 566-572 (1992) - [j9]Nasser M. Nasrabadi, Chang Y. Choo:
Hopfield network for stereo vision correspondence. IEEE Trans. Neural Networks 3(1): 5-13 (1992) - [c20]Nader Mohsenian, Nasser M. Nasrabadi:
Subband coding of video using an edge-based vector quantization technique for compression of the upper bands. ICASSP 1992: 233-236 - [c19]Qiang Guo, Nasser M. Nasrabadi, Nader Mohsenian:
An interframe dynamic FSVQ codec for video sequence coding. ICASSP 1992: 501-504 - 1991
- [j8]Yushu Feng, Nasser M. Nasrabadi, Chang Y. Choo:
A self-organizing adaptive vector quantization technique. J. Vis. Commun. Image Represent. 2(2): 129-137 (1991) - [j7]Nasser M. Nasrabadi, Wei Li:
Object recognition by a Hopfield neural network. IEEE Trans. Syst. Man Cybern. 21(6): 1523-1535 (1991) - [c18]Peter P. Polit, Nasser M. Nasrabadi:
A New Transform Domain Vector Quantization Technique for Image Data Compression in an Asynchronous Transfer Mode Network. Data Compression Conference 1991: 149-158 - [c17]Soheil A. Dianat, Nasser M. Nasrabadi, S. Venkataraman:
A non-linear predictor for differential pulse-code encoder (DPCM) using artificial neural networks. ICASSP 1991: 2793-2796 - [c16]Chang Y. Choo, John M. Smith, Nasser M. Nasrabadi:
An efficient terrain acquisition algorithm for a mobile robot. ICRA 1991: 306-311 - 1990
- [j6]Nasser M. Nasrabadi, Yushu Feng:
Image compression using address-vector quantization. IEEE Trans. Commun. 38(12): 2166-2173 (1990) - [c15]Nasser M. Nasrabadi, Yushu Feng:
A dynamic finite-state vector quantization scheme. ICASSP 1990: 2261-2264 - [c14]Nasser M. Nasrabadi, Wei Li, Chang Y. Choo:
Object recognition by a Hopfield neural network. ICCV 1990: 325-328 - [c13]Wei Li, Nasser M. Nasrabadi:
Invariant object recognition based on a neural network of cascaded RCE nets. IJCNN 1990: 845-854 - [c12]Chang Y. Choo, Nasser M. Nasrabadi, William I. Kwak:
Relaxation Based Modeling and Recognition of 3D Surfaces from Range Data. MVA 1990: 47-50 - [c11]Nasser M. Nasrabadi:
Interframe hierarchical address-vector quantization. VCIP 1990
1980 – 1989
- 1989
- [j5]Nasser M. Nasrabadi, Yi Liu:
Stereo vision correspondence using a multichannel graph matching technique. Image Vis. Comput. 7(4): 237-245 (1989) - [c10]Nasser M. Nasrabadi, Shihkuan E. Lin, Yushu Feng:
Interframe hierarchical vector quantization. ICASSP 1989: 1739-1742 - [c9]Yushu Feng, Nasser M. Nasrabadi:
A dynamic address-vector quantization algorithm based on inter-block and inter-color correlation for color image coding. ICASSP 1989: 1755-1758 - [c8]Nasser M. Nasrabadi, Wei Li, Bradley G. Epranian, Charles A. Butkus:
Use of Hopfield network for stereo vision correspondence. SMC 1989: 429-432 - 1988
- [j4]Sandra P. Clifford, Nasser M. Nasrabadi:
Integration of stereo-vision and optical flow using markov random fields. Neural Networks 1(Supplement-1): 486-487 (1988) - [j3]Nasser M. Nasrabadi, Yushu Feng:
Vector quantization of images based upon the kohonen self-organization feature maps. Neural Networks 1(Supplement-1): 518 (1988) - [j2]Nasser M. Nasrabadi, Robert A. King:
Image coding using vector quantization: a review. IEEE Trans. Commun. 36(8): 957-971 (1988) - [c7]Nasser M. Nasrabadi, Yushu Feng:
Vector quantization of images based upon the Kohonen self-organizing feature maps. ICNN 1988: 101-108 - [c6]Sandra P. Clifford, Nasser M. Nasrabadi:
Integration of stereo vision and optical flow using Markov random fields. ICNN 1988: 577-584 - [c5]Nasser M. Nasrabadi, Jen-Lai Chiang:
A stereo vision technique using curve-segments and relaxation matching. ICPR 1988: 149-151 - [c4]Nasser M. Nasrabadi, Yi Liu, Jen-hi Chiang:
Stereo vision correspondence using a multichannel graph matching technique. ICRA 1988: 1804-1809 - 1985
- [c3]Nasser M. Nasrabadi:
Use of vector quantizers in image coding. ICASSP 1985: 125-128 - 1984
- [c2]Nasser M. Nasrabadi, Robert A. King:
Complex number theoretic transform in p-adic field. ICASSP 1984: 481-483 - [c1]Nasser M. Nasrabadi, Robert A. King:
A new image coding technique using transforms vector quantization. ICASSP 1984: 551-554 - 1983
- [j1]Robert A. King, Nasser M. Nasrabadi:
Image coding using vector quantization in the transform domain. Pattern Recognit. Lett. 1(5-6): 323-329 (1983)
Coauthor Index
aka: Hossein Kashiani
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