Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …

Recently, the vision transformer has achieved great success by pushing the state-of-the-art
of various vision tasks. One of the most challenging problems in the vision transformer is that …

Precipitation nowcasting based on radar data plays a crucial role in extreme weather
prediction and has broad implications for disaster management. Despite progresses have …

This paper presents 6D vision transformer (6D-ViT), a transformer-based instance
representation learning network suitable for highly accurate category-level object pose …

High-precision segmentation of skin lesions is essential for early diagnosis of skin cancer
and improved patient survival. However, this task becomes challenging due to the …

In recent years, remote sensing (RS) vision foundation models, such as RingMo, have
emerged and achieved excellent performance in various downstream tasks. However, the …

The goal of video motion magnification techniques is to magnify small motions in a video to
reveal previously invisible or unseen movement. Its uses extend from bio-medical …

Polyp detection is a challenging task in the diagnosis of Colorectal Cancer (CRC), and it
demands clinical expertise due to the diverse nature of polyps. The recent years have …