Summary 16S rRNA-targeted oligonucleotide probes for eubacteria (EUB338), ammonium-
oxidizing bacteria (Nsm156) and nitrite-oxidizing bacteria (Nb1000) were used for the rapid …

Single-frame infrared small target (SIRST) detection aims at separating small targets from
clutter backgrounds. With the advances of deep learning, CNN-based methods have yielded …

Sudden-onset natural and man-made disasters represent a threat to the safety of human life
and property. Rapid and accurate building damage assessment using bitemporal high …

We present a systematic study on a new task called dichotomous image segmentation (DIS),
which aims to segment highly accurate objects from natural images. To this end, we …

Space-based infrared tiny ship detection aims at separating tiny ships from the images
captured by Earth-orbiting satellites. Due to the extremely large image coverage area (eg …

What constitutes an object? This has been a long-standing question in computer vision.
Towards this goal, numerous learning-free and learning-based approaches have been …

Object counting is an important task in computer vision due to its growing demand in
applications such as surveillance, traffic monitoring, and counting everyday objects. State-of …

The integration between 3D concrete printing (3DCP) and topology optimization (TO)
enables the fabrication of structurally efficient components without expensive formwork and …

With the maturation of near-infrared high-resolution spectroscopy, especially when used for
precision radial velocity, data reduction has faced unprecedented challenges in terms of …

Design for Embedded Image Processing on FPGAs Bridge the gap between software and
hardware with this foundational design reference Field-programmable gate arrays (FPGAs) …