Recently, removing rain streaks from a single image has attracted a lot of attention because
rain streaks can severely degrade the perceptual quality of the image and cause many …

In recent years, single-image super-resolution (SISR) has acquired tremendous progress with
the development of deep learning. However, the majority of SISR methods based on deep …

Raindrop blur or rain streaks can severely degrade the visual quality of the images, which
causes many practical vision systems to fail to work, such as autonomous driving and video …

Single image dehazing is a critical image pre-processing step for many practical vision
systems. Most existing dehazing methods solve this problem utilizing various of hand-crafted …

The potential benefits of automatic radiology report generation, such as reducing misdiagnosis
rates and enhancing clinical diagnosis efficiency, are significant. However, existing data-…

Given the hurdles of limited data availability, annotation challenges, and constrained
generalization capabilities in medical image segmentation, few-shot learning (FSL) has become a …

Predicting accurate and diverse human motion presents a challenging task due to the
complexity and uncertainty of future human motion. Existing works have explored sampling …

3D human pose estimation is an important premise for human behavior analysis and
understanding, which has a wide range of applications in intelligent transportation, human-…

Single image rain streak removal is a significant and challenging task, which is widely
applied in many artificial intelligence domains as preprocessing process. Most of existing rain …

With recent advancements in robotic surgery, notable strides have been made in visual question
answering (VQA). Existing VQA systems typically generate textual answers to questions …