The advent of deep learning has brought a revolutionary transformation to image denoising
techniques. However, the persistent challenge of acquiring noise-clean pairs for supervised …

Medical image segmentation serves as a crucial underpinning for a myriad of clinical
applications. The advent of deep learning techniques has significantly propelled …

Full drive-by-wire electric vehicles (FDWEV) equipped with X-by-wire technology can enable
independent driving, braking, and steering of each wheel, making them an ideal platform for …

When learning multiple tasks in a sequence, deep neural networks tend to loose accuracy
on tasks learned in the past while gaining accuracy on the current task. This phenomenon is …

Maintaining both path-tracking accuracy and yaw stability of distributed drive electric
vehicles (DDEVs) under various driving conditions presents a significant challenge in the …

Optical camera communication (OCC) has been widely employed in various applications as
a flexible and cost-effective means of communication both on land and underwater …

Traffic sign recognition is an important task in intelligent transportation systems, which can
improve road safety and reduce accidents. Algorithms based on deep learning have …

Visual object tracking in natural scenes is a popular but challenging task, owing to the
difficulties of feature representation from various changes of the targets, such as size …

Traffic video question answering (TrafficVQA) constitutes a specialized VideoQA task
designed to enhance the basic comprehension and intricate reasoning capacities of videos …

Biomedical image segmentation is essential in clinical practices, offering critical insights for
accurate diagnosis and strategic treatment approaches. Nowadays, self-attention-based …