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08/28/2023
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment
Active Learning (AL) for semantic segmentation is challenging due to hea...
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03/28/2022
Iterative, Deep Synthetic Aperture Sonar Image Segmentation
Synthetic aperture sonar (SAS) systems produce high-resolution images of...
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03/17/2022
Surface Defect Detection and Evaluation for Marine Vessels using Multi-Stage Deep Learning
Detecting and evaluating surface coating defects is important for marine...
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03/07/2022
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction
Attaching attributes (such as color, shape, state, action) to object cat...
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11/16/2021
CAR – Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles
Self-driving vehicles are the future of transportation. With current adv...
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08/15/2021
Deep Algorithm Unrolling for Biomedical Imaging
In this chapter, we review biomedical applications and breakthroughs via...
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07/30/2021
Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation
Deep learning has not been routinely employed for semantic segmentation ...
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05/05/2021
Physically Inspired Dense Fusion Networks for Relighting
Image relighting has emerged as a problem of significant research intere...
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04/21/2021
Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks
It is common in anthropology and paleontology to address questions about...
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03/18/2021
Real-Time, Deep Synthetic Aperture Sonar (SAS) Autofocus
Synthetic aperture sonar (SAS) requires precise time-of-flight measureme...
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10/29/2020
Deep Autofocus for Synthetic Aperture Sonar
Synthetic aperture sonar (SAS) requires precise positional and environme...
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10/26/2020
Structural Prior Driven Regularized Deep Learning for Sonar Image Classification
Deep learning has been recently shown to improve performance in the doma...
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04/04/2020
Group Based Deep Shared Feature Learning for Fine-grained Image Classification
Fine-grained image classification has emerged as a significant challenge...
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12/22/2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
Deep neural networks provide unprecedented performance gains in many rea...
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10/24/2019
Thresholded Non-Uniform Fourier Frame-Based Reconstruction for Stripmap SAR
Fourier domain methods are fast algorithms for SAR imaging. They typical...
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09/10/2019
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors
High resolution Magnetic Resonance (MR) images are desired for accurate ...
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04/22/2019
Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks
Deep learning methods, in particular, trained Convolutional Neural Netwo...
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02/09/2019
An Algorithm Unrolling Approach to Deep Blind Image Deblurring
Blind image deblurring remains a topic of enduring interest. Learning ba...
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02/09/2019
An Algorithm Unrolling Approach to Deep Image Deblurring
While neural networks have achieved vastly enhanced performance over tra...
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01/21/2019
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection
Cell nuclei detection is a challenging research topic because of limitat...
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10/04/2018
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques
Using low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic apert...
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09/10/2018
Deep MR Image Super-Resolution Using Structural Priors
High resolution magnetic resonance (MR) images are desired for accurate ...
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06/29/2018
Deep Networks with Shape Priors for Nucleus Detection
Detection of cell nuclei in microscopic images is a challenging research...
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02/08/2018
Deep Image Super Resolution via Natural Image Priors
Single image super-resolution (SR) via deep learning has recently gained...
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02/06/2018
Orthogonally Regularized Deep Networks For Image Super-resolution
Deep learning methods, in particular trained Convolutional Neural Networ...
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01/16/2018
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery
Classifying buried and obscured targets of interest from other natural a...
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01/08/2018
Bridging the Gap: Simultaneous Fine Tuning for Data Re-Balancing
There are many real-world classification problems wherein the issue of d...
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12/05/2017
Blind Image Deblurring Using Row-Column Sparse Representations
Blind image deblurring is a particularly challenging inverse problem whe...
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07/07/2017
Fast Stochastic Hierarchical Bayesian MAP for Tomographic Imaging
Any image recovery algorithm attempts to achieve the highest quality rec...
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06/29/2017
What's Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR
Finding mines in Sonar imagery is a significant problem with a great dea...
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06/26/2017
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification
Sonar imaging has seen vast improvements over the last few decades due i...
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06/26/2017
Using Frame Theoretic Convolutional Gridding for Robust Synthetic Aperture Sonar Imaging
Recent progress in synthetic aperture sonar (SAS) technology and process...
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12/08/2016
A Maximum A Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis
High dynamic range (HDR) image synthesis from multiple low dynamic range...
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10/27/2016
Fast Low-rank Shared Dictionary Learning for Image Classification
Despite the fact that different objects possess distinct class-specific ...
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10/04/2016
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints
Sparsity constrained single image super-resolution (SR) has been of much...
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09/12/2016
Adaptive matching pursuit for sparse signal recovery
Spike and Slab priors have been of much recent interest in signal proces...
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01/31/2016
Learning a low-rank shared dictionary for object classification
Despite the fact that different objects possess distinct class-specific ...
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01/13/2016
Localized Dictionary design for Geometrically Robust Sonar ATR
Advancements in Sonar image capture have opened the door to powerful cla...
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01/01/2016
Discriminative Sparsity for Sonar ATR
Advancements in Sonar image capture have enabled researchers to apply so...
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06/16/2015
Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning
In histopathological image analysis, feature extraction for classificati...
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02/16/2015
ICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors
In this letter, we address sparse signal recovery using spike and slab p...
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02/03/2015
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification
In histopathological image analysis, feature extraction for classificati...
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01/30/2015
Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors
Promising results have been achieved in image classification problems by...
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06/08/2014
Structured Dictionary Learning for Classification
Sparsity driven signal processing has gained tremendous popularity in th...
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11/08/2011