With the increasing penetration of machine learning applications in crit...
Exemplar-based sketch-to-photo synthesis allows users to generate
photo-...
Recently, diffusion models like StableDiffusion have achieved impressive...
In recent years, neural image compression (NIC) algorithms have shown
po...
In data science, vector autoregression (VAR) models are popular in model...
The previous deep video compression approaches only use the single scale...
Learning based video compression attracts increasing attention in the pa...
Multi-Object Tracking (MOT) is a popular topic in computer vision. Howev...
In the learning based video compression approaches, it is an essential i...
Image compression is a widely used technique to reduce the spatial redun...
In this paper, we propose a unified Multi-Object Tracking (MOT) framewor...