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Semantic ScholarAggelos K. Katsaggelos
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- affiliation: Northwestern University, Illinois, USA
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2010 – today
- 2019
[j196]Juan G. Serra, Javier Mateos
, Rafael Molina, Aggelos K. Katsaggelos:
Variational EM method for blur estimation using the spike-and-slab image prior. Digital Signal Processing 88: 116-129 (2019)- [j195]Pablo Morales-Alvarez, Pablo Ruiz, Raúl Santos-Rodríguez, Rafael Molina, Aggelos K. Katsaggelos:
Scalable and efficient learning from crowds with Gaussian processes. Information Fusion 52: 110-127 (2019) - [j194]Pablo Ruiz, Pablo Morales-Alvarez, Rafael Molina, Aggelos K. Katsaggelos:
Learning from crowds with variational Gaussian processes. Pattern Recognition 88: 298-311 (2019) - [j193]Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. IEEE Trans. Image Processing 28(7): 3312-3327 (2019) - [c335]Srutarshi Banerjee, Juan G. Serra, Henry H. Chopp, Oliver Cossairt, Aggelos K. Katsaggelos:
An Adaptive Video Acquisition Scheme for Object Tracking. EUSIPCO 2019: 1-5 - [c334]Santiago Lopez Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model. EUSIPCO 2019: 1-5 - [c333]Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Variational Bayes Color Deconvolution with a Total Variation Prior. EUSIPCO 2019: 1-5 - [c332]Xijun Wang, Alice Lucas, Santiago Lopez Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos:
A Composite Discriminator for Generative Adversarial Network based Video Super-Resolution. EUSIPCO 2019: 1-5 - [c331]Xinyi Wu, Alice Lucas, Santiago López-Tapia, Xijun Wang, Yul Hee Kim, Rafael Molina, Aggelos K. Katsaggelos:
Semantic Prior Based Generative Adversarial Network for Video Super-Resolution. EUSIPCO 2019: 1-5 - [c330]Xijun Wang, Alice Lucas, Santiago Lopez Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos:
Spatially Adaptive Losses for Video Super-resolution with GANs. ICASSP 2019: 1697-1701 - [c329]Fengqiang Li, Pablo Ruiz, Oliver Cossairt, Aggelos K. Katsaggelos:
Multi-frame Super-resolution for Time-of-flight Imaging. ICASSP 2019: 2327-2331 - [c328]Neda Rohani, Emeline Pouyet, Marc Walton, Oliver Cossairt, Aggelos K. Katsaggelos:
Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks. ICASSP 2019: 3217-3221 - [c327]Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos:
Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD. ICASSP 2019: 3232-3236 - [i19]Zihao W. Wang, Weixin Jiang, Aggelos K. Katsaggelos, Oliver Cossairt:
Event-driven Video Frame Synthesis. CoRR abs/1902.09680 (2019) - [i18]Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models. CoRR abs/1907.01399 (2019) - [i17]Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K. Katsaggelos, Simo Särkkä:
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network. CoRR abs/1909.02971 (2019) - [i16]Pablo Morales-Alvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. CoRR abs/1911.01915 (2019) - 2018
- [j192]Salvador Villena, Miguel Vega, Javier Mateos, Duska Rosenberg, Fionn Murtagh, Rafael Molina, Aggelos K. Katsaggelos:
Image super-resolution for outdoor digital forensics. Usability and legal aspects. Computers in Industry 98: 34-47 (2018) - [j191]Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos:
Deep fully-connected networks for video compressive sensing. Digital Signal Processing 72: 9-18 (2018) - [j190]Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, J. R. Smith, Vicky Kalogera, Aggelos K. Katsaggelos:
Machine learning for Gravity Spy: Glitch classification and dataset. Inf. Sci. 444: 172-186 (2018) - [j189]Neda Rohani, Pablo Ruiz, Rafael Molina, Aggelos K. Katsaggelos:
Variational Gaussian process for multisensor classification problems. Pattern Recognition Letters 116: 80-87 (2018) - [j188]Alice Lucas, Michael Iliadis, Rafael Molina, Aggelos K. Katsaggelos:
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods. IEEE Signal Process. Mag. 35(1): 20-36 (2018) - [c326]Morteza Zabihi, Ali Bahrami Rad, Simo Särkkä, Serkan Kiranyaz, Aggelos K. Katsaggelos, Moncef Gabbouj:
Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis. CinC 2018: 1-4 - [c325]Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos:
Efficient Video Object Segmentation via Network Modulation. CVPR 2018: 6499-6507 - [c324]Seunghwan Yoo, Pablo Ruiz, Xiang Huang, Kuan He, Nicola J. Ferrier, Mark Hereld, Alan Selewa, Matthew Daddysman, Norbert Scherer, Oliver Cossairt, Aggelos K. Katsaggelos:
3D Image Reconstruction from Multi-Focus Microscope: Axial Super-Resolution and Multiple-Frame Processing. ICASSP 2018: 1453-1457 - [c323]Sushobhan Ghosh, Youssef S. G. Nashed, Oliver Cossairt, Aggelos K. Katsaggelos:
ADP: Automatic differentiation ptychography. ICCP 2018: 1-10 - [c322]Adrián Colomer, Pablo Ruiz, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos:
Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes. ICIAR 2018: 639-649 - [c321]Alice Lucas, Aggelos K. Katsaggelos, Santiago Lopez Tapia, Rafael Molina:
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. ICIP 2018: 51-55 - [c320]Arun Sankisa, Arjun Punjabi, Aggelos K. Katsaggelos:
Video Error Concealment Using Deep Neural Networks. ICIP 2018: 380-384 - [c319]Sara Bahaadini, Neda Rohani, Aggelos K. Katsaggelos, Vahid Noroozi, Scott Coughlin, Michael Zevin:
Direct: Deep Discriminative Embedding for Clustering of Ligo Data. ICIP 2018: 748-752 - [c318]Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach. ICIP 2018: 983-987 - [c317]Xiang Huang, Kuan He, Seunghwan Yoo, Oliver Cossairt, Aggelos K. Katsaggelos, Nicola J. Ferrier, Mark Hereld:
An Interior Point Method for Nonnegative Sparse Signal Reconstruction. ICIP 2018: 1193-1197 - [c316]Seunghwan Yoo, Pablo Ruiz, Xiang Huang, Kuan He, Xiaolei Wang, Itay Gdor, Alan Selewa, Matthew Daddysman, Nicola J. Ferrier, Mark Hereld, Norbert Scherer, Oliver Cossairt, Aggelos K. Katsaggelos:
Bayesian Approach for Automatic Joint Parameter Estimation in 3D Image Reconstruction from Multi-Focus Microscope. ICIP 2018: 3583-3587 - [c315]Petros Nyfantis, Pablo Ruiz, Aggelos K. Katsaggelos:
Probabilistic Matrix Completion for Image Phase Retrieval. ICIP 2018: 3983-3987 - [c314]Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Fully Automated Blind Color Deconvolution of Histopathological Images. MICCAI (2) 2018: 183-191 - [i15]Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos:
Efficient Video Object Segmentation via Network Modulation. CoRR abs/1802.01218 (2018) - [i14]Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Aggelos K. Katsaggelos:
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data. CoRR abs/1805.02296 (2018) - [i13]Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. CoRR abs/1806.05764 (2018) - [i12]Kuan He, Zihao W. Wang, Xiang Huang, Xiaolei Wang, Seunghwan Yoo, Pablo Ruiz, Itay Gdor, Alan Selewa, Nicola J. Ferrier, Norbert Scherer, Mark Hereld, Aggelos K. Katsaggelos, Oliver Cossairt:
Computational multifocal microscopy. CoRR abs/1809.01239 (2018) - [i11]Arjun Punjabi, Adam Martersteck, Yanran Wang, Todd B. Parrish, Aggelos K. Katsaggelos, Alzheimer's Disease Neuroimaging Initiative:
Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks. CoRR abs/1811.05105 (2018) - [i10]Qiqin Dai, Henry Chopp, Emeline Pouyet, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos:
Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction. CoRR abs/1812.10836 (2018) - 2017
- [j187]Huyen Vu, Kjersti Engan, Trygve Eftestøl, Aggelos K. Katsaggelos, Samwel Jatosh, Simeon Kusulla, Estomih Mduma, Hussein Kidanto, Hege Ersdal:
Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals. Biomed. Signal Proc. and Control 36: 20-26 (2017) - [j186]Xu Zhou, Miguel Vega, Fugen Zhou, Rafael Molina, Aggelos K. Katsaggelos:
Fast Bayesian blind deconvolution with Huber Super Gaussian priors. Digital Signal Processing 60: 122-133 (2017) - [j185]Evaggelia Tsiligianni, Lisimachos P. Kondi, Aggelos K. Katsaggelos:
Approximate equiangular tight frames for compressed sensing and CDMA applications. EURASIP J. Adv. Sig. Proc. 2017: 66 (2017) - [j184]Ali Bahrami Rad, Trygve Eftestøl, Kjersti Engan, Unai Irusta, Jan Terje Kvaløy, Jo Kramer-Johansen, Lars Wik, Aggelos K. Katsaggelos:
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. IEEE Trans. Biomed. Engineering 64(10): 2411-2418 (2017) - [j183]Qiqin Dai, Emeline Pouyet, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos:
Spatial-Spectral Representation for X-Ray Fluorescence Image Super-Resolution. IEEE Trans. Computational Imaging 3(3): 432-444 (2017) - [j182]Qiqin Dai, Seunghwan Yoo, Armin Kappeler, Aggelos K. Katsaggelos:
Sparse Representation-Based Multiple Frame Video Super-Resolution. IEEE Trans. Image Processing 26(2): 765-781 (2017) - [j181]Michael Iliadis, Haohong Wang, Rafael Molina, Aggelos K. Katsaggelos:
Robust and Low-Rank Representation for Fast Face Identification With Occlusions. IEEE Trans. Image Processing 26(5): 2203-2218 (2017) - [j180]Juan G. Serra, Matteo Testa, Rafael Molina, Aggelos K. Katsaggelos:
Bayesian K-SVD Using Fast Variational Inference. IEEE Trans. Image Processing 26(7): 3344-3359 (2017) - [c313]Morteza Zabihi, Ali Bahrami Rad, Aggelos K. Katsaggelos, Serkan Kiranyaz, Susanna Narkilahti, Moncef Gabbouj:
Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier. CinC 2017 - [c312]Domingo Mery, Aggelos K. Katsaggelos:
A Logarithmic X-Ray Imaging Model for Baggage Inspection: Simulation and Object Detection. CVPR Workshops 2017: 251-259 - [c311]Chia-Kai Yeh, Fengqiang Li, Gianluca Pastorelli, Marc Walton, Aggelos K. Katsaggelos, Oliver Cossairt:
Shape-from-Shifting: Uncalibrated Photometric Stereo with a Mobile Device. eScience 2017: 551-558 - [c310]Arjun Punjabi, Aggelos K. Katsaggelos:
Visualization of feature evolution during convolutional neural network training. EUSIPCO 2017: 311-315 - [c309]Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Parameter estimation in spike and slab variational inference for blind image deconvolution. EUSIPCO 2017: 1495-1499 - [c308]Matthew Woods, Aggelos K. Katsaggelos:
A bayesian multi-frame image super-resolution algorithm using the Gaussian Information Filter. ICASSP 2017: 1368-1372 - [c307]Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos:
Deep multi-view models for glitch classification. ICASSP 2017: 2931-2935 - [c306]Pablo Morales, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, Aggelos K. Katsaggelos:
Passive millimeter wave image classification with large scale Gaussian processes. ICIP 2017: 370-374 - [c305]Armin Kappeler, Sushobhan Ghosh, Jason Holloway, Oliver Cossairt, Aggelos K. Katsaggelos:
Ptychnet: CNN based fourier ptychography. ICIP 2017: 1712-1716 - [c304]Juan G. Serra, Salvador Villena, Rafael Molina, Aggelos K. Katsaggelos:
Greedy Bayesian double sparsity dictionary learning. ICIP 2017: 1935-1939 - [c303]Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Spike and slab variational inference for blind image deconvolution. ICIP 2017: 3765-3769 - [i9]Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos:
Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition. CoRR abs/1703.04757 (2017) - [i8]Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos:
Deep Multi-view Models for Glitch Classification. CoRR abs/1705.00034 (2017) - [i7]Reza Borhani, Jeremy Watt, Aggelos K. Katsaggelos:
Global hard thresholding algorithms for joint sparse image representation and denoising. CoRR abs/1705.09816 (2017) - [i6]Johanna Salvant, Marc Walton, Dale Kronkright, Chia-Kai Yeh, Fengqiang Li, Oliver Cossairt, Aggelos K. Katsaggelos:
Photometric Stereo by UV-Induced Fluorescence to Detect Protrusions on Georgia O'Keeffe's Paintings. CoRR abs/1711.08103 (2017) - 2016
- [b3]Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos:
Machine Learning Refined: Foundations, Algorithms, and Applications. Cambridge University Press 2016, ISBN 9781316402276 - [j179]Wael AlSaafin, Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Compressive sensing super resolution from multiple observations with application to passive millimeter wave images. Digital Signal Processing 50: 180-190 (2016) - [j178]Arun Sankisa, Katerina Pandremmenou, Peshala V. Pahalawatta, Lisimachos P. Kondi, Aggelos K. Katsaggelos:
SSIM-Based Distortion Estimation for Optimized Video Transmission over Inherently Noisy Channels. IJMDEM 7(3): 34-52 (2016) - [j177]Xiang Huang, Erich S. Uffelman, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos:
Computational Imaging for Cultural Heritage: Recent developments in spectral imaging, 3-D surface measurement, image relighting, and X-ray mapping. IEEE Signal Process. Mag. 33(5): 130-138 (2016) - [j176]Armin Kappeler, Seunghwan Yoo, Qiqin Dai, Aggelos K. Katsaggelos:
Video Super-Resolution With Convolutional Neural Networks. IEEE Trans. Computational Imaging 2(2): 109-122 (2016) - [j175]Pablo Ruiz Matarán, Rafael Molina, Aggelos K. Katsaggelos:
Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers. IEEE Trans. Image Processing 25(7): 3059-3072 (2016) - [c302]Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz, Moncef Gabbouj, Aggelos K. Katsaggelos:
Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation. CinC 2016 - [c301]Wael Saafin, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Compressed sensing super resolution of color images. EUSIPCO 2016: 1563-1567 - [c300]Emre Besler, Pablo Ruiz, Rafael Molina, Aggelos K. Katsaggelos:
Classification of multiple annotator data using variational Gaussian process inference. EUSIPCO 2016: 2025-2029 - [c299]Neda Rohani, Johanna Salvant, Sara Bahaadini, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos:
Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images. EUSIPCO 2016: 2111-2115 - [c298]Yanran Wang, Aggelos K. Katsaggelos, Xue Wang, Todd B. Parrish:
A deep symmetry convnet for stroke lesion segmentation. ICIP 2016: 111-115 - [c297]Oliver Cossairt, Kuan He, Ruibo Shang, Nathan Matsuda, Manoj Kumar Sharma, Xiang Huang, Aggelos K. Katsaggelos, Leonidas Spinoulas, Seunghwan Yoo:
Compressive reconstruction for 3D incoherent holographic microscopy. ICIP 2016: 958-962 - [c296]Armin Kappeler, Seunghwan Yoo, Qiqin Dai, Aggelos K. Katsaggelos:
Super-resolution of compressed videos using convolutional neural networks. ICIP 2016: 1150-1154 - [c295]Juan G. Serra, Pablo Ruiz, Rafael Molina, Aggelos K. Katsaggelos:
Bayesian logistic regression with sparse general representation prior for multispectral image classification. ICIP 2016: 1893-1897 - [c294]Arun Sankisa, Katerina Pandremmenou, Lisimachos P. Kondi, Aggelos K. Katsaggelos:
A novel cumulative distortion metric and a no-reference sparse prediction model for packet prioritization in encoded video transmission. ICIP 2016: 2097-2101 - [c293]Javier Mateos, Antonio López, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation. ICIP 2016: 2678-2682 - [c292]Michael Iliadis, Leonidas Spinoulas, Albert S. Berahas, Haohong Wang, Aggelos K. Katsaggelos:
Multi-model robust error correction for face recognition. ICIP 2016: 3229-3233 - [c291]Armin Kappeler, Michael Iliadis, Haohong Wang, Aggelos K. Katsaggelos:
Block based video alignment with linear time and space complexity. ICIP 2016: 3324-3328 - [c290]Qiqin Dai, Emeline Pouyet, Oliver Cossairt, Marc Walton, Francesca Casadio, Aggelos K. Katsaggelos:
X-Ray fluorescence image super-resolution using dictionary learning. IVMSP 2016: 1-5 - [c289]Pablo Ruiz, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos:
Variational Gaussian process for missing label crowdsourcing classification problems. MLSP 2016: 1-6 - [i5]Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos:
Deep Fully-Connected Networks for Video Compressive Sensing. CoRR abs/1603.04930 (2016) - [i4]Michael Iliadis, Haohong Wang, Rafael Molina, Aggelos K. Katsaggelos:
Robust and Low-Rank Representation for Fast Face Identification with Occlusions. CoRR abs/1605.02266 (2016) - [i3]Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos:
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing. CoRR abs/1607.03343 (2016) - [i2]Reza Borhani, Jeremy Watt, Aggelos K. Katsaggelos:
Fast and Effective Algorithms for Symmetric Nonnegative Matrix Factorization. CoRR abs/1609.05342 (2016) - [i1]Zihao W. Wang, Leonidas Spinoulas, Kuan He, Huaijin G. Chen, Lei Tian, Aggelos K. Katsaggelos, Oliver Cossairt:
Compressive Holographic Video. CoRR abs/1610.09013 (2016) - 2015
- [j174]Lasya Priya Kotu, Kjersti Engan, Reza Borhani, Aggelos K. Katsaggelos, Stein Ørn, Leik Woie, Trygve Eftestøl:
Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. Artificial Intelligence in Medicine 64(3): 205-215 (2015) - [j173]Pablo Ruiz, Xu Zhou, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Variational Bayesian Blind Image Deconvolution: A review. Digital Signal Processing 47: 116-127 (2015) - [j172]Aggelos K. Katsaggelos, Sara Bahaadini, Rafael Molina:
Audiovisual Fusion: Challenges and New Approaches. Proceedings of the IEEE 103(9): 1635-1653 (2015) - [j171]Evaggelia Tsiligianni, Lisimachos P. Kondi, Aggelos K. Katsaggelos:
Preconditioning for Underdetermined Linear Systems with Sparse Solutions. IEEE Signal Process. Lett. 22(9): 1239-1243 (2015) - [j170]Xu Zhou, Javier Mateos, Fugen Zhou, Rafael Molina, Aggelos K. Katsaggelos:
Variational Dirichlet Blur Kernel Estimation. IEEE Trans. Image Processing 24(12): 5127-5139 (2015) - [j169]Zhaofu Chen, Rafael Molina, Aggelos K. Katsaggelos:
Robust Recovery of Temporally Smooth Signals From Under-Determined Multiple Measurements. IEEE Trans. Signal Processing 63(7): 1779-1791 (2015) - [c288]Leonidas Spinoulas, Kuan He, Oliver Cossairt, Aggelos K. Katsaggelos:
Video compressive sensing with on-chip programmable subsampling. CVPR Workshops 2015: 49-57 - [c287]Oliver Cossairt, Xiang Huang, Nathan Matsuda, Harriet Stratis, Mary Broadway, Jack Tumblin, Gregory H. Bearman, Eric Doehne, Aggelos K. Katsaggelos, Marc Walton:
Surface shape studies of the art of Paul Gauguin. Digital Heritage 2015: 13-20 - [c286]Neda Rohani, Pablo Ruiz, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos:
Variational Gaussian process for sensor fusion. EUSIPCO 2015: 170-174 - [c285]I. Gomez Maqueda, Nicolas Pérez de la Blanca, Rafael Molina, Aggelos K. Katsaggelos:
Fast millimeter wave threat detection algorithm. EUSIPCO 2015: 599-603 - [c284]Wael Saafin, Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
PMMW image super resolution from compressed sensing observations. EUSIPCO 2015: 1815-1819 - [c283]Qiqin Dai, Seunghwan Yoo, Armin Kappeler, Aggelos K. Katsaggelos:
Dictionary-based multiple frame video super-resolution. ICIP 2015: 83-87 - [c282]Leonidas Spinoulas, Oliver Cossairt, Aggelos K. Katsaggelos:
Sampling optimization for on-chip compressive video. ICIP 2015: 3329-3333 - [c281]Wael Saafin, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Image super-resolution from compressed sensing observations. ICIP 2015: 4268-4272 - [c280]Arun Sankisa, Aggelos K. Katsaggelos, Peshala V. Pahalawatta:
Distortion Estimation Using Structural Similarity for Video Transmission over Wireless Networks. ISM 2015: 513-518 - [c279]Haohong Wang, Aggelos K. Katsaggelos:
Resource-distortion optimal video coding and communications. MSAN 2015: 10-14 - 2014
- [j168]Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
A non-stationary image prior combination in super-resolution. Digital Signal Processing 32: 1-10 (2014) - [j167]Martin Luessi, S. Derin Babacan, Rafael Molina, James R. Booth, Aggelos K. Katsaggelos:
Variational Bayesian causal connectivity analysis for fMRI. Front. Neuroinform. 2014 (2014) - [j166]Ilya Mikhelson, Philip Greggory Lee, Alan V. Sahakian, Ying Wu, Aggelos K. Katsaggelos:
Automatic, fast, online calibration between depth and color cameras. J. Visual Communication and Image Representation 25(1): 218-226 (2014) - [j165]Pablo Ruiz, Hiram Madero Orozco, Javier Mateos, Osslan Osiris Vergara-Villegas, Rafael Molina, Aggelos K. Katsaggelos:
Combining Poisson singular integral and total variation prior models in image restoration. Signal Processing 103: 296-308 (2014) - [j164]Zhaofu Chen, Rafael Molina, Aggelos K. Katsaggelos:
Automated Recovery of Compressedly Observed Sparse Signals From Smooth Background. IEEE Signal Process. Lett. 21(8): 1012-1016 (2014) - [j163]Pablo Ruiz, Javier Mateos, Gustavo Camps-Valls, Rafael Molina, Aggelos K. Katsaggelos:
Bayesian Active Remote Sensing Image Classification. IEEE Trans. Geoscience and Remote Sensing 52(4): 2186-2196 (2014) - [j162]Evaggelia Tsiligianni, Lisimachos P. Kondi, Aggelos K. Katsaggelos:
Construction of Incoherent Unit Norm Tight Frames With Application to Compressed Sensing. IEEE Trans. Information Theory 60(4): 2319-2330 (2014) - [j161]Lei Song, Fan Jiang, Zhongke Shi, Rafael Molina, Aggelos K. Katsaggelos:
Toward Dynamic Scene Understanding by Hierarchical Motion Pattern Mining. IEEE Trans. Intelligent Transportation Systems 15(3): 1273-1285 (2014) - [j160]Zhaofu Chen, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos:
Variational Bayesian Methods For Multimedia Problems. IEEE Trans. Multimedia 16(4): 1000-1017 (2014) - [c278]Zhaofu Chen, Rafael Molina, Aggelos K. Katsaggelos:
Recovery of correlated sparse signals from under-sampled measurements. EUSIPCO 2014: 451-455 - [c277]Michael Iliadis, Leonidas Spinoulas, Albert S. Berahas, Haohong Wang, Aggelos K. Katsaggelos:
Sparse representation and least squares-based classification in face recognition. EUSIPCO 2014: 526-530 - [c276]Pablo Ruiz, Nicolas Pérez de la Blanca, Rafael Molina, Aggelos K. Katsaggelos:
Bayesian classification and active learning using lp-priors. Application to image segmentation. EUSIPCO 2014: 1183-1187 - [c275]