5 accepted papers
Brain tumors are one of the deadliest types of cancer. Accurate segmentation of brain tumors is very important for the diagnosis, evaluation and treatment of cancer. Recently, a large number of deep learning-based methods have replaced manual annotation and achieved remarkable results. However, most…
Social bot detection aims to precisely identify and mitigate the effects of bots spreading misinformation and manipulating public opinion by analyzing users’ textual content and network relationships on social media. Many existing methods rely on graph-based modalities, and while some incorporate mu…
In this paper, we address the problem of reconstructing geometry, material and illumination from multi-view images of a scene captured in an unknown environment. Compared to prevalent NeRF-based methods, which are typically hindered by slow training and time-intensive evaluating, our approach capita…
The utilization of generative adversarial networks (GANs) for image-to-image translation has undergone extensive scholarly exploration. Nonetheless, prevailing unidirectional image translation tasks remain intricate and computationally inefficient due to the employment of complex computational metho…
Micro-expressions serve as a crucial psychological stress response, which can reveal people’s genuine emotions. However, extracting recognizable micro-expression features is still a challenging task due to issues such as data scarcity and subtle motion variations. In this paper, we propose a novel t…