Image compression is a fundamental research field and many well-known compression
standards have been developed for many decades. Recently, learned compression …

Contemporary deep learning-based decision systems are well-known for requiring high-
volume datasets in order to produce generalized, reliable, and high-performing models …

Image compression has been an important research topic for many decades. Recently, deep
learning has achieved great success in many computer vision tasks, and its use in image …

Abstract Defects in Laser Powder Bed Fusion (L-PBF) parts often result from the meso-scale
dynamics of the molten alloy near the laser, known as the melt pool. Experimental in-situ …

Compression has been an important research topic for many decades, to produce a
significant impact on data transmission and storage. Recent advances have shown a great …

In this paper, we provide a detailed description on our approach designed for CVPR 2019
Workshop and Challenge on Learned Image Compression (CLIC). Our approach mainly …

Compression methods for images and videos are essential for the effective archiving,
transmission, and distribution of multimedia data and files. This paper reviews the state-ofthe …

This paper deals with providing the desired quality in the Better Portable Graphics (BPG)-
based lossy compression of color and three-channel remote sensing (RS) images. Quality is …

As an important perceptual characteristic of the Human Visual System (HVS), the Just
Noticeable Difference (JND) has been studied for decades with image and video processing …

Li-ion batteries play a critical role in the transition to a net-zero future. The discovery of new
materials and the design of novel microstructures for battery electrodes is necessary for the …