publié le: 2023
Contemporary deep learning multi-scale deblurring models suffer from many issues: (I) They perform poorly on non-uniformly blurred images/videos; (II)...
Contextual information contained within human environments, such as text on signs, symbols and objects provide important information for robots to use...
Video instance segmentation is one of the core problems in computer vision. Formulating a purely learning-based method, which models the generic track...
We present a new and efficient solution for the forward world to image projection of a pinhole camera with distortions placed behind a planar refracti...
Automatic security inspection relying on computer vision technology is a challenging task in real-world scenarios due to many factors, such as intra-c...