Deep Learning is the most widely used tool in the contemporary field of computer vision. Its
ability to accurately solve complex problems is employed in vision research to learn deep …

Deep learning is at the heart of the current rise of artificial intelligence. In the field of
computer vision, it has become the workhorse for applications ranging from self-driving cars …

As the GAN-based face image and video generation techniques, widely known as
DeepFakes, have become more and more matured and realistic, there comes a pressing …

In this article, we introduce SiamMask, a framework to perform both visual object tracking
and video object segmentation, in real-time, with the same simple method. We improve the …

Shadow removal is still a challenging task due to its inherent background-dependent and
spatial-variant properties, leading to unknown and diverse shadow patterns. Even powerful …

Visual object tracking is an important task in computer vision, which has many real-world
applications, eg, video surveillance, visual navigation. Visual object tracking also has many …

Single-image deraining is rather challenging due to the unknown rain model. Existing
methods often make specific assumptions of the rain model, which can hardly cover many …

Deep learning has recently been widely applied to many applications across different
domains, eg, image classification and audio recognition. However, the quality of Deep …

As Deep Learning (DL) is continuously adopted in many industrial applications, its quality
and reliability start to raise concerns. Similar to the traditional software development …

Motion blur caused by the moving of the object or camera during the exposure can be a key
challenge for visual object tracking, affecting tracking accuracy significantly. In this work, we …