To address the limitations of current sensor systems for field applications, the research
community has been actively exploring new technologies that can advance the state-of-the …

Research on unmanned aerial vehicles is growing as they are becoming less expensive
and more available than before. The applications span a large number of areas and include …

Despite the progress made by few-shot segmentation (FSS) in low-data regimes, the
generalization capability of most previous works could be fragile when countering hard …

Template 3D shapes are useful for many tasks in graphics and vision, including fitting
observation data, analyzing shape collections, and transferring shape attributes. Because of …

We present a new method for estimating the 6D pose of rigid objects with available 3D
models from a single RGB input image. The method is applicable to a broad range of …

Compared with cheap addition operation, multiplication operation is of much higher
computation complexity. The widely-used convolutions in deep neural networks are exactly …

Abstract Machine vision based product inspection methods have been widely investigated to
improve product quality and reduce labour costs. Recent advancement in deep learning …

The immature physiology of cardiomyocytes derived from human induced pluripotent stem
cells (hiPSCs) limits their utility for drug screening and disease modelling. Here we show …

Foodborne pathogens are major public health concerns worldwide. Paper-based
microfluidic devices are versatile, user friendly and low cost. We report a novel paper-based …

Chest radiography is one of the most common types of diagnostic radiology exams, which is
critical for screening and diagnosis of many different thoracic diseases. Specialized …