9 citations · 15 across the 6 of their papers we have counts for
7 papers
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
Siyu Qi, Achintha Wijesinghe, Lahiru D. Chamain +1
Among applications of deep learning (DL) involving low cost sensors, remote image classification involves a physical channel that separates edge sensors and cloud classifiers. Trad…
End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification
Siyu Qi, Lahiru D. Chamain, Zhi Ding
Among major deep learning (DL) applications, distributed learning involving image classification require effective image compression codecs deployed on low-cost sensing devices for…
End-to-end optimized image compression for multiple machine tasks
Lahiru D. Chamain, Fabien Racapé, Jean Bégaint +2
An increasing share of captured images and videos are transmitted for storage and remote analysis by computer vision algorithms, rather than to be viewed by humans. Contrary to tra…
End-to-end optimized image compression for machines, a study
Lahiru D. Chamain, Fabien Racapé, Jean Bégaint +2
An increasing share of image and video content is analyzed by machines rather than viewed by humans, and therefore it becomes relevant to optimize codecs for such applications wher…
Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications
Lahiru D. Chamain, Zhi Ding
JPEG2000 (j2k) is a highly popular format for image and video compression.With the rapidly growing applications of cloud based image classification, most existing j2k-compatible sc…
Eigenvalue Based Detection of a Signal in Colored Noise: Finite and Asymptotic Analyses
Lahiru D. Chamain, Prathapasinghe Dharmawansa, Saman Atapattu +1
Signal detection in colored noise with an unknown covariance matrix has a myriad of applications in diverse scientific/engineering fields. The test statistic is the largest general…