Convolutional sparse support estimator-based COVID-19 recognition from X-ray images
Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it
came into sight. X-ray imaging is a common and easily accessible tool that has great …
came into sight. X-ray imaging is a common and easily accessible tool that has great …
Enhancing small moving target detection performance in low-quality and long-range infrared videos using optical flow techniques
C Kwan, B Budavari - Remote Sensing, 2020 - mdpi.com
The detection of small moving objects in long-range infrared videos is challenging due to
background clutter, air turbulence, and small target size. In this paper, we summarize the …
background clutter, air turbulence, and small target size. In this paper, we summarize the …
Advance warning methodologies for covid-19 using chest x-ray images
Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its
first known detection in December 2019. As a result, accurate and reliable advance warning …
first known detection in December 2019. As a result, accurate and reliable advance warning …
Lightweight distributed deep learning on compressive measurements for internet of things
In this work, we investigate the problem of distributed deep learning in Internet of Things
(IoT). The proposed learning framework is constructed in a fog–cloud computing …
(IoT). The proposed learning framework is constructed in a fog–cloud computing …
Converting optical videos to infrared videos using attention gan and its impact on target detection and classification performance
To apply powerful deep-learning-based algorithms for object detection and classification in
infrared videos, it is necessary to have more training data in order to build high-performance …
infrared videos, it is necessary to have more training data in order to build high-performance …
Deep learning-based target tracking and classification for low quality videos using coded aperture cameras
Compressive sensing has seen many applications in recent years. One type of compressive
sensing device is the Pixel-wise Code Exposure (PCE) camera, which has low power …
sensing device is the Pixel-wise Code Exposure (PCE) camera, which has low power …
Detection of small moving objects in long range infrared videos from a change detection perspective
C Kwan, J Larkin - Photonics, 2021 - mdpi.com
Detection of small moving objects in long range infrared (IR) videos is challenging due to
background clutter, air turbulence, and small target size. In this paper, we present two …
background clutter, air turbulence, and small target size. In this paper, we present two …
Real-time and deep learning based vehicle detection and classification using pixel-wise code exposure measurements
C Kwan, D Gribben, B Chou, B Budavari, J Larkin… - Electronics, 2020 - mdpi.com
One key advantage of compressive sensing is that only a small amount of the raw video data
is transmitted or saved. This is extremely important in bandwidth constrained applications …
is transmitted or saved. This is extremely important in bandwidth constrained applications …
Multilevel privacy preservation scheme based on compressed sensing
J Liang, D **ao, H Huang, M Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Although the extensive application of the Internet of Things brings great convenience, it
raises the concern of privacy leakage in the processes of data acquisition, analyzing, and …
raises the concern of privacy leakage in the processes of data acquisition, analyzing, and …
A high-performance approach to detecting small targets in long-range low-quality infrared videos
C Kwan, B Budavari - Signal, Image and Video Processing, 2022 - Springer
Since targets are small in long-range infrared (IR) videos, it is challenging to accurately
detect targets in those videos. In this paper, we propose a high-performance approach to …
detect targets in those videos. In this paper, we propose a high-performance approach to …