Semantic segmentation is referred to as a process of linking each pixel in an image to a
class label. With this pragmatic technique, it is possible to recognize different objects in an …

Three-dimensional models are widely used in the fields of multimedia, computer graphics,
virtual reality, entertainment, design, and manufacturing because of the rich information that …

Medical image segmentation is the most complex and important task in the field of medical
image processing and analysis, as it is linked to disease diagnosis accuracy. However, due …

Finger vein recognition has attracted considerable attention from the biometric identification
technology community owing to its convenience and security. Unlike most previous works …

Abstract 3D object detection is a critical part of environmental perception systems and one of
the most fundamental tasks in understanding the 3D visual world, which benefit a series of …

Deep neural networks have shown better effects for super-resolution. However, it is difficult
to extract multi-level features of LR images to reconstruct more clear images. To solve this …

Abstract 3D image has important applications in reverse engineering, pattern recognition,
artificial intelligence and other fields. 3D image processing technology has become a …

In stereo matching tasks, the matching effect is often very poor when the texture of the region
is weak or repeated. To solve this problem, an improved Graph Cut stereo matching …

This paper presents our solution for the Semi-Supervised Multimodal Emotion Recognition
Challenge (MER2023-SEMI), addressing the issue of limited annotated data in emotion …

Abstract 3D object detection has received extensive attention from researchers. RGB-D
sensors are often used for the information complementary in 3D object detection tasks due …