Aggelos K. Katsaggelos

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 207

Top Venues

CoRR

ICIP

EUSIPCO

Digit. Signal Process.

Publications

Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci
Explainable Transformer Prototypes for Medical Diagnoses. CoRR (2024)
Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. Expert Syst. Appl. 240 (2024)
Yi Li, Yunan Wu, Aggelos K. Katsaggelos
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches. CoRR (2024)
Srutarshi Banerjee, Henry H. Chopp, Jianping Zhang, Zihao W. Wang, Peng Kang, Oliver Cossairt, Aggelos K. Katsaggelos
A Joint Intensity-Neuromorphic Event Imaging System With Bandwidth-Limited Communication Channel. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos
Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer. CoRR (2024)
Zixiao Yu, Xinyi Wu, Haohong Wang, Aggelos K. Katsaggelos, Jian Ren
Automated Adaptive Cinematography for User Interaction in Open World. IEEE Trans. Multim. 26 (2024)
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos
Learning from crowds for automated histopathological image segmentation. Comput. Medical Imaging Graph. 112 (2024)
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Aggelos K. Katsaggelos, Rafael Molina
Focused Active Learning for Histopathological Image Classification. CoRR (2024)
Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos
Real-World Atmospheric Turbulence Correction via Domain Adaptation. CoRR (2024)
Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos
BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution. Digit. Signal Process. 145 (2024)
Srutarshi Banerjee, Miesher Rodrigues, Manuel Ballester, Alexander Hans Vija, Aggelos K. Katsaggelos
Identifying Defects without a priori Knowledge in a Room-Temperature Semiconductor Detector Using Physics Inspired Machine Learning Model. Sensors 24 (1) (2024)
Xijun Wang, Santiago López-Tapia, Alice Lucas, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models. CoRR (2024)
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. Artif. Intell. 331 (2024)
Yunan Wu, Bruno Miguel Machado Rocha, Evangelos Kaimakamis, Grigorios-Aris Cheimariotis, Georgios Petmezas, Evangelos Chatzis, Vassilis Kilintzis, Leandros Stefanopoulos, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva, Serafeim Kotoulas, Militsa Bitzani, Aggelos K. Katsaggelos, Nicos Maglaveras
A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters. Expert Syst. Appl. 235 (2024)
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. CoRR (2024)
Georgios Petmezas, Vasileios E. Papageorgiou, Vassilios Vassilikos, Efstathios Pagourelias, George Tsaklidis, Aggelos K. Katsaggelos, Nicos Maglaveras
Recent advancements and applications of deep learning in heart failure: Α systematic review. Comput. Biol. Medicine 176 (2024)
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos
Focused active learning for histopathological image classification. Medical Image Anal. 95 (2024)
Xijun Wang, Aggelos K. Katsaggelos
Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization. CoRR (2023)
Zixiao Yu, Xinyi Wu, Haohong Wang, Aggelos K. Katsaggelos, Jian Ren
Adaptive Auto-Cinematography in Open Worlds. MIPR (2023)
Tom Liu, Hui Lin, Aggelos K. Katsaggelos, Adrienne S. Kline
YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation. CoRR (2023)
Jiaqi Guo, Emanuel A. Azcona, Santiago Lopez Tapia, Aggelos K. Katsaggelos
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes. MIDL (2023)
Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. ICIP (2023)
Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos
Deep Bayesian Blind Color Deconvolution of Histological Images. ICIP (2023)
Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt
Spiking GLOM: Bio-Inspired Architecture for Next-Generation Object Recognition. ICIP (2023)
Santiago López-Tapia, Xijun Wang, Aggelos K. Katsaggelos
Variational Deep Atmospheric Turbulence Correction for Video. ICIP (2023)
Shamal Lalvani, Aggelos K. Katsaggelos
Control of a Water Tank System with Value Function Approximation. AIAI (1) (2023)
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. MICCAI (5) (2023)
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification. IEEE Access 11 (2023)
Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CVPR (2023)
Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt
Event-based Shape from Polarization with Spiking Neural Networks. CoRR (2023)
Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos
Atmospheric Turbulence Correction via Variational Deep Diffusion. CoRR (2023)
Zixiao Yu, Haohong Wang, Aggelos K. Katsaggelos, Jian Ren
A Novel Automatic Content Generation and Optimization Framework. IEEE Internet Things J. 10 (14) (2023)
Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Learning Moore-Penrose based residuals for robust non-blind image deconvolution. Digit. Signal Process. 142 (2023)
Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt
Thermal Spread Functions (TSF): Physics-guided Material Classification. CoRR (2023)
Hui Lin, Santiago Lopez Tapia, Florian Schiffers, Yunan Wu, Huili Yang, Nikolay Iakovlev, Bradley D. Allen, Ryan Avery, Daniel C. Lee, Daniel Kim, Aggelos K. Katsaggelos
Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI. EUSIPCO (2023)
Yunan Wu, Amil Dravid, Ramsey Michael Wehbe, Aggelos K. Katsaggelos
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels. CoRR (2023)
Soroush Shahi, Sougata Sen, Mahdi Pedram, Rawan Alharbi, Yang Gao, Aggelos K. Katsaggelos, Josiah D. Hester, Nabil Alshurafa
Detecting Eating and Social Presence with All Day Wearable RGB-T. CHASE (2023)
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. CoRR (2023)
Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi
Reinforcement Learning for Adaptive Video Compressive Sensing. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. AIME (2023)
Pablo Ruiz, Pablo Morales-Álvarez, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos
Probabilistic fusion of crowds and experts for the search of gravitational waves. Knowl. Based Syst. 261 (2023)
Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt
Thermal Spread Functions (TSF): Physics-Guided Material Classification. CVPR (2023)
Xijun Wang, Santiago Lomicronpez-Tapia, Aggelos K. Katsaggelos
Atmospheric Turbulence Correction via Variational Deep Diffusion. MIPR (2023)
Xinyi Wu, Haohong Wang, Aggelos K. Katsaggelos
The secret of immersion: actor driven camera movement generation for auto-cinematography. CoRR (2023)
Hui Lin, Tom Liu, Aggelos K. Katsaggelos, Adrienne S. Kline
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography. CoRR (2023)
Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt
Event - Driven Tactile Learning with Location Spiking Neurons. IJCNN (2022)
Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. CVPR Workshops (2022)
Semih Barutcu, Doga Gürsoy, Aggelos K. Katsaggelos
Compressive Ptychography using Deep Image and Generative Priors. CoRR (2022)
Semih Barutcu, Aggelos K. Katsaggelos, Doga Gürsoy
A Deep Generative Approach to Oversampling in Ptychography. CoRR (2022)
Hasan Asy'ari Arief, Peter James Thomas, Kevin Constable, Aggelos K. Katsaggelos
Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning. Sensors 22 (24) (2022)
Henry Chopp, Alicia McGeachy, Matthias Alfeld, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings. CoRR (2022)
Amil Dravid, Aggelos K. Katsaggelos
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract). AAAI (2022)
Rawan Alharbi, Soroush Shahi, Stefany Cruz, Lingfeng Li, Sougata Sen, Mahdi Pedram, Christopher Romano, Josiah D. Hester, Aggelos K. Katsaggelos, Nabil Alshurafa
SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (4) (2022)
Xin Yuan, David J. Brady, Jinli Suo, Henry Arguello, Miguel Rodrigues, Aggelos K. Katsaggelos
Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing. IEEE J. Sel. Top. Signal Process. 16 (4) (2022)
Soroush Shahi, Rawan Alharbi, Yang Gao, Sougata Sen, Aggelos K. Katsaggelos, Josiah D. Hester, Nabil Alshurafa
Impacts of Image Obfuscation on Fine-grained Activity Recognition in Egocentric Video. PerCom Workshops (2022)
Fernando Pérez-Bueno, Juan G. Serra, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. Comput. Medical Imaging Graph. 97 (2022)
Qiqin Dai, Fengqiang Li, Oliver Cossairt, Aggelos K. Katsaggelos
Adaptive Illumination Based Depth Sensing Using Deep Superpixel and Soft Sampling Approximation. IEEE Trans. Computational Imaging 8 (2022)
Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes. CoRR (2022)
Georgios Petmezas, Grigorios-Aris Cheimariotis, Leandros Stefanopoulos, Bruno Miguel Machado Rocha, Rui Pedro Paiva, Aggelos K. Katsaggelos, Nicos Maglaveras
Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function. Sensors 22 (3) (2022)
Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt
Event-Driven Tactile Learning with Various Location Spiking Neurons. CoRR (2022)
Bingjie Xu, Yunan Wu, Pengxiao Hao, Marc Vermeulen, Alicia McGeachy, Kate Smith, Katherine Eremin, Georgina Rayner, Giovanni Verri, Florian Willomitzer, Matthias Alfeld, Jack Tumblin, Aggelos K. Katsaggelos, Marc Walton
Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data? CoRR (2022)
Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. CoRR (2022)
Emanuel A. Azcona, Byoung-Woo Kim, Nicole L. Vike, Sumra Bari, Shamal Lalvani, Leandros Stefanopoulos, Sean Woodward, Martin Block, Aggelos K. Katsaggelos, Hans C. Breiter
Discrete, recurrent, and scalable patterns in human judgement underlie affective picture ratings. CoRR (2022)
Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos
Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes. ICASSP (2022)
Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. Comput. Methods Programs Biomed. 219 (2022)
Peiqi Duan, Zihao W. Wang, Boxin Shi, Oliver Cossairt, Tie-Jun Huang, Aggelos K. Katsaggelos
Guided Event Filtering: Synergy Between Intensity Images and Neuromorphic Events for High Performance Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR (2022)
Yunan Wu, Pierre Besson, Emanuel A. Azcona, S. Kathleen Bandt, Todd B. Parrish, Aggelos K. Katsaggelos
Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect Epilepsy. ISBI (2022)
Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt
Event-Driven Tactile Learning with Location Spiking Neurons. CoRR (2022)
Amit Adate, Soroush Shahi, Rawan Alharbi, Sougata Sen, Yang Gao, Aggelos K. Katsaggelos, Nabil Alshurafa
Detecting Screen Presence with Activity-Oriented RGB Camera in Egocentric Videos. PerCom Workshops (2022)
Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas K. Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt
Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. ICIP (2021)
Fernando Pérez-Bueno, Miguel Vega, María Á. Sales, José Aneiros-Fernández, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. Comput. Methods Programs Biomed. 211 (2021)
Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi
Reinforcement Learning for Adaptive Video Compressive Sensing. CoRR (2021)
Qiqin Dai, Fengqiang Li, Oliver Cossairt, Aggelos K. Katsaggelos
Adaptive Illumination based Depth Sensing using Deep Learning. CoRR (2021)
Prasan Shedligeri, Florian Schiffers, Semih Barutcu, Pablo Ruiz, Aggelos K. Katsaggelos, Oliver Cossairt
Improving Acquisition Speed of X-Ray Ptychography Through Spatial Undersampling and Regularization. ICIP (2021)
Lionel Fiske, Aggelos K. Katsaggelos, M. C. G. Aalders, M. Alfeld, M. Walton, Oliver Cossairt
A Data Fusion Method For The Delayering Of X-Ray Fluorescence Images Of Painted Works Of Art. ICIP (2021)
Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas K. Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt
Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices. ACSCC (2021)
Srutarshi Banerjee, Zihao W. Wang, Henry H. Chopp, Oliver Cossairt, Aggelos K. Katsaggelos
Lossy Event Compression Based On Image-Derived Quad Trees And Poisson Disk Sampling. ICIP (2021)
Peng Kang, Hao Hu, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt
Human Vision-Like Robust Object Recognition. ICIP (2021)
Georgios Petmezas, Kostas Haris, Leandros Stefanopoulos, Vassilis Kilintzis, Andreas Tzavelis, John A. Rogers, Aggelos K. Katsaggelos, Nicos Maglaveras
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets. Biomed. Signal Process. Control. 63 (2021)
Santiago López-Tapia, Pablo Ruiz, Mitchell Smith, Jeffrey Matthews, Bradley Zercher, Liliana Sydorenko, Neelanshi Varia, Yuanzhe Jin, Minzi Wang, Jennifer B. Dunn, Aggelos K. Katsaggelos
Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands. Int. J. Appl. Earth Obs. Geoinformation 105 (2021)
Amil Dravid, Aggelos K. Katsaggelos
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks. CoRR (2021)
Xin Yuan, David J. Brady, Aggelos K. Katsaggelos
Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications. CoRR (2021)
Henry H. Chopp, Srutarshi Banerjee, Oliver Cossairt, Aggelos K. Katsaggelos
Removing Blocking Artifacts in Video Streams Using Event Cameras. CoRR (2021)
Santiago López-Tapia, Rafael Molina, Aggelos K. Katsaggelos
Deep learning approaches to inverse problems in imaging: Past, present and future. Digit. Signal Process. 119 (2021)
Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt
SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. CoRR (2021)
Yunan Wu, Arne Schmidt, Enrique Hernández-Sánchez, Rafael Molina, Aggelos K. Katsaggelos
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. MICCAI (2) (2021)
Pierre Besson, Todd B. Parrish, Aggelos K. Katsaggelos, S. Kathleen Bandt
Geometric deep learning on brain shape predicts sex and age. Comput. Medical Imaging Graph. 91 (2021)
Xin Yuan, David J. Brady, Aggelos K. Katsaggelos
Snapshot Compressive Imaging: Theory, Algorithms, and Applications. IEEE Signal Process. Mag. 38 (2) (2021)
Zihao W. Wang, Peiqi Duan, Oliver Cossairt, Aggelos K. Katsaggelos, Tiejun Huang, Boxin Shi
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging. CVPR (2020)
Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Blind Color Deconvolution of Histopathological Images. IEEE Trans. Image Process. 29 (2020)
Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
Super Gaussian Priors for Blind Color Deconvolution of Histological Images. ICIP (2020)
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. Digit. Signal Process. 104 (2020)
Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos
Gated Recurrent Networks for Video Super Resolution. EUSIPCO (2020)
Fernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
A TV-based image processing framework for blind color deconvolution and classification of histological images. Digit. Signal Process. 101 (2020)
Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors 20 (18) (2020)
Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos
DeepBinaryMask: Learning a binary mask for video compressive sensing. Digit. Signal Process. 96 (2020)
Srutarshi Banerjee, Zihao W. Wang, Henry H. Chopp, Oliver Cossairt, Aggelos K. Katsaggelos
Quadtree Driven Lossy Event Compression. CoRR (2020)
Arun Sankisa, Arjun Punjabi, Aggelos K. Katsaggelos
Temporal capsule networks for video motion estimation and error concealment. Signal Image Video Process. 14 (7) (2020)

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Publication Activity (10 Years)

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Aggelos K. Katsaggelos