Recently, object detection in aerial images has gained much attention in computer vision.
Different from objects in natural images, aerial objects are often distributed with arbitrary …

Object detection in aerial images is an active yet challenging task in computer vision
because of the bird's-eye view perspective, the highly complex backgrounds, and the variant …

In he past decade, object detection has achieved significant progress in natural images but
not in aerial images, due to the massive variations in the scale and orientation of objects …

Zero-shot semantic segmentation (ZS3) aims to segment the novel categories that have not
been seen in the training. Existing works formulate ZS3 as a pixel-level zero-shot …

Recovering dense and long-range pixel motion in videos is a challenging problem. Part of
the difficulty arises from the 3D-to-2D projection process leading to occlusions and …

Many scientific reports document that asymptomatic and presymptomatic individuals contribute
to the spread of COVID-19, probably during conversations in social interactions. Droplet …

Object detection in aerial images is an active yet challenging task in computer vision because
of the birdview perspective, the highly complex backgrounds, and the variant appearances …

Particulate matter (PM) is a chemically non-specific pollutant, and may originate or be
derived from different emission source types. Thus, its toxicity may well vary depending on its …

Background The distant metastasis is the primary cause of cancer morbidity and mortality
for bladder cancer (BLCA) paitents. All the recommended therapy for it largely depends on …

Monocular 3D object detection aims to localize 3D bounding boxes in an input single 2D
image. It is a highly challenging problem and remains open, especially when no extra …