Search Results - "Sakla, Wesam"

Remote Sensor Design for Visual Recognition With Convolutional Neural Networks by Jaffe, Lucas, Zelinski, Michael, Sakla, Wesam

“…While deep learning technologies for computer vision have developed rapidly since 2012, modeling of remote sensing systems has remained focused around human…”
Get full text

Semantic Segmentation of Clouds in Satellite Imagery Using Deep Pre-trained U-Nets by Gonzales, Cindy, Sakla, Wesam

“…Earth observation and remote sensing technologies are widely used in various application areas. Because the abundance of collected data requires automated…”
Get full text

Remote Sensor Design for Visual Recognition With Convolutional Neural Networks by Jaffe, Lucas, Zelinski, Michael, Sakla, Wesam

“…While deep learning technologies for computer vision have developed rapidly since 2012, modeling of remote sensing systems has remained focused around human…”
Get full text

Nonlinear Multi-scale Super-resolution Using Deep Learning by Tran, Kenneth, Panahi, Ashkan, Adiga, Aniruddha, Sakla, Wesam, Krim, Hamid

“…We propose a deep learning architecture capable of performing up to 8× single image super-resolution. Our architecture incorporates an adversarial component…”
Get full text

Generative Information Fusion by Tran, Kenneth, Sakla, Wesam, Krim, Hamid

“…In this work, we demonstrate the ability to exploit sensing modalities for mitigating an unrepresented modality or for potentially re-targeting resources. This…”
Get full text

An SVDD-Based Algorithm for Target Detection in Hyperspectral Imagery by Sakla, Wesam, Chan, Andrew, Ji, Jim, Sakla, Adel

“…Spectral variability remains a challenging problem for target detection and classification in hyperspectral (HS) imagery. In this letter, we have applied the…”
Get full text

Metric Driven Classification: A Non-Parametric Approach Based on the Henze-Penrose Test Statistic by Ghanem, Sally, Krim, Hamid, Clouse, Hamilton Scott, Sakla, Wesam

“…Entropy-based divergence measures have proven their effectiveness in many areas of computer vision and pattern recognition. However, the complexity of their…”
Get full text

Action classification in polarimetric infrared imagery via diffusion maps by Sakla, W.

“…This work explores the application of a nonlinear dimensionality reduction technique known as diffusion maps for performing action classification in…”
Get full text

Deep Multi-modal Vehicle Detection in Aerial ISR Imagery by Sakla, Wesam, Konjevod, Goran, Mundhenk, T. Nathan

“…Since the introduction of deep convolutional neural networks (CNNs), object detection in imagery has witnessed substantial breakthroughs in state-of-the-art…”
Get full text

Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric by Ghanem, Sally, Skau, Erik, Krim, Hamid, Clouse, Hamilton Scott, Sakla, Wesam

“…Analysis procedures for higher-dimensional data are generally computationally costly; thereby justifying the high research interest in the area. Entropy-based…”
Get full text

Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems by Leong, Oscar, Sakla, Wesam

“…Employing deep neural networks as natural image priors to solve inverse problems either requires large amounts of data to sufficiently train expressive…”
Get full text

On the Use of Anchoring for Training Vision Models by Narayanaswamy, Vivek, Thopalli, Kowshik, Anirudh, Rushil, Mubarka, Yamen, Sakla, Wesam, Thiagarajan, Jayaraman J

“…Anchoring is a recent, architecture-agnostic principle for training deep neural networks that has been shown to significantly improve uncertainty estimation,…”
Get full text

Remote Sensor Design for Visual Recognition with Convolutional Neural Networks by Jaffe, Lucas, Zelinski, Michael, Sakla, Wesam

“…While deep learning technologies for computer vision have developed rapidly since 2012, modeling of remote sensing systems has remained focused around human…”
Get full text

On-the-fly Object Detection using StyleGAN with CLIP Guidance by Lu, Yuzhe, Liu, Shusen, Thiagarajan, Jayaraman J, Sakla, Wesam, Anirudh, Rushil

“…We present a fully automated framework for building object detectors on satellite imagery without requiring any human annotation or intervention. We achieve…”
Get full text

A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning by Mundhenk, T. Nathan, Konjevod, Goran, Sakla, Wesam A, Boakye, Kofi

“…We have created a large diverse set of cars from overhead images, which are useful for training a deep learner to binary classify, detect and count them. The…”
Get full text

Gaussian Nonlinear Line Attractor for learning multidimensional data by Aspiras, Theus H., Asari, Vijayan K., Sakla, Wesam

“…The human brain's ability to extract information from multidimensional data modeled by the Nonlinear Line Attractor (NLA), where nodes are connected by…”
Get full text

Skin-based hyperspectral dismount detection using sparse representation by Mehmood, Asif, Clark, Jeffrey, Sakla, Wesam

“…This paper presents a sparsity-based dismount detection algorithm for hyperspectral skin signatures in conjunction with the sequential forward feature…”
Get full text

Improved fingerprint identification/verification techniques using digital enhancement in the presence of noise and distortion by Sakla, Wesam Adel

“…Fingerprints are the most widely used physiological identifier in biometric recognition systems. Consequently, the domain of automated fingerprint matching is…”
Get full text

Improved fingerprint identification/verification techniques using digital enhancement in the presence of noise and distortion by Sakla, Wesam Adel

“…Fingerprints are the most widely used physiological identifier in biometric recognition systems. Consequently, the domain of automated fingerprint matching is…”
Get full text