Visual attention has recently achieved great success and wide application in deep neural
networks. Existing methods based on Siamese network have achieved a good accuracy …

One-shot image recognition has been explored for many applications in computer vision
community. However, its applications in video analytics is not deeply investigated yet. For …

Recently, deep neural networks are widely applied in recommender systems for their
effectiveness in capturing/modeling users' preferences. Especially, the attention mechanism …

Robust tracking has a variety of practical applications. Despite many years of progress, it is
still a difficult problem due to enormous uncertainties in real-world scenes. To address this …

Most of the current tracking methods use bounding box to describe objects, which only
provides a rough outline and is unable to accurately capture the shape and posture of the …

Multi-object tracking (MOT) is a vital component of intelligent video analytics applications
such as surveillance and autonomous driving. The time and storage complexity required to …

Sri Lankan farmers face several issues and among them crop loss due to insect pest
infestation is the major hurdle. Several approaches have been proposed to detect the pest …

Fully transformer-based one-stream trackers have demonstrated outstanding performance
on challenging benchmark datasets over the past three years. These trackers enable …

Accurately locating the target position is a challenging task during high-speed visual
tracking. Most Siamese trackers based on shallow networks can maintain a fast speed, but …

Melanoma is the most dangerous type of skin cancer and hence early detection is crucial for
survival. Classifying melanoma moles from non-melanoma moles is a challenging task since …