Artificial intelligence (AI) is evolving towards artificial general intelligence, which refers to the
ability of an AI system to perform a wide range of tasks and exhibit a level of intelligence …

Recent advancements in thermal imaging sensor technology have resulted in the use of
thermal cameras in a variety of applications, including automotive, industrial, medical …

Robust and accurate geometric understanding against adverse weather conditions is one
top prioritized conditions to achieve a high-level autonomy of self-driving cars. However …

RGBT tracking becomes a popular computer vision task, and has a variety of applications in
visual surveillance systems, self-driving cars and intelligent transportation system. This …

Salient object detection (SOD) in optical remote sense images (ORSIs) is a valuable and
challenging task. The factors in ORSI, such as background clutter, lighting shadows, imaging …

Recently, convolutional neural networks (CNNs) have achieved state-of-the-art performance
in infrared small target detection. However, the limited number of public training data …

Fully Convolutional Neural Network (FCN) has been widely applied to salient object
detection recently by virtue of high-level semantic feature extraction, but existing FCN-based …

RGBT Salient Object Detection (SOD) focuses on common salient regions of a pair of visible
and thermal infrared images. Existing methods perform on the well-aligned RGBT image …

Semantic segmentation models gain robustness against adverse illumination conditions by
taking advantage of complementary information from visible and thermal infrared (RGB-T) …

Semantic scene understanding using thermal images has received great attention due to the
advantage that thermal imaging cameras could see in challenging illumination conditions …