Multi-person pose estimation (MPPE) presents a challenging yet crucial task in computer
vision. Most existing methods predominantly concentrate on isolated interaction either …

In visual tracking tasks, researchers usually focus on increasing the complexity of the model
or only discretely focusing on the changes in the object itself to achieve accurate recognition …

Deep learning-based methods monopolize the latest research in the field of thermal infrared
(TIR) object tracking. However, relying solely on deep learning models to obtain better …

Abstract Recently, Vision Transformer (ViT) has exhibited remarkable performances in many
computer vision tasks (eg object detection, segmentation and tracking). However, the output …

Addressing the core challenges of achieving both high efficiency and precision in UAV
tracking is crucial due to limitations in computing resources, battery capacity, and maximum …

Text-based person search aims to retrieve the matched pedestrians from a large-scale
image database according to the text description. The core difficulty of this task is how to …

The offline Siamese tracking methods have recently attracted much attention due to their
impressive performance on speed and accuracy. However, they ignore the target and …

Medical object detection simultaneously locates and recognizes the objects/lesions in
medical images, and thus it is of high clinical relevance. There have been many kinds of …

The ascent of electric vehicle (EV) technology as a leading solution for green transportation
is accompanied by advancements in charging infrastructure and automation. A notable …

Accurate and high-speed object movement tracking systems often face significant
challenges due to signal instability caused by the object's movement and rotation. To …