Drift in machine learning refers to the phenomenon where the statistical...
3D semantic segmentation on multi-scan large-scale point clouds plays an...
This report presents the technical details of our submission to the 2023...
Graph-based methods have been extensively applied to whole-slide
histopa...
Large multimodal language models (LMMs) have achieved significant succes...
There are a lot of promising results in 3D recognition, including
classi...
With the rapid development of mobile devices, modern widely-used mobile
...
Face recognition based on the deep convolutional neural networks (CNN) s...
Acute leukemia is a type of blood cancer with a high mortality rate. Cur...
Moire patterns, appearing as color distortions, severely degrade image a...
Low-light image enhancement - a pervasive but challenging problem, plays...
Ophthalmologists have used fundus images to screen and diagnose eye dise...
Temporal Action Detection (TAD) is an essential and challenging topic in...
A benchmark for multi-UAV task assignment is presented in order to evalu...
When taking photos in dim-light environments, due to the small amount of...