Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Hu,Chuanfei"'
Autor:
Hu, Chuanfei, Xia, Tianyi, Cui, Ying, Zou, Quchen, Wang, Yuancheng, Xiao, Wenbo, Ju, Shenghong, Li, Xinde
Multi-phase liver contrast-enhanced computed tomography (CECT) images convey the complementary multi-phase information for liver tumor segmentation (LiTS), which are crucial to assist the diagnosis of liver cancer clinically. However, the performance
Externí odkaz:
http://arxiv.org/abs/2305.05344
Learning to segmentation without large-scale samples is an inherent capability of human. Recently, Segment Anything Model (SAM) performs the significant zero-shot image segmentation, attracting considerable attention from the computer vision communit
Externí odkaz:
http://arxiv.org/abs/2304.08506
Both the temporal dynamics and spatial correlations of Electroencephalogram (EEG), which contain discriminative emotion information, are essential for the emotion recognition. However, some redundant information within the EEG signals would degrade t
Externí odkaz:
http://arxiv.org/abs/2211.08880
An automatic vision-based sewer inspection plays a key role of sewage system in a modern city. Recent advances focus on utilizing deep learning model to realize the sewer inspection system, benefiting from the capability of data-driven feature repres
Externí odkaz:
http://arxiv.org/abs/2210.13782
Representing the spatial properties of facial attributes is a vital challenge for facial attribute recognition (FAR). Recent advances have achieved the reliable performances for FAR, benefiting from the description of spatial properties via extra pri
Externí odkaz:
http://arxiv.org/abs/2210.13716
Publikováno v:
In Knowledge-Based Systems 30 January 2025 309
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part A
Recognizing the human emotion automatically from visual characteristics plays a vital role in many intelligent applications. Recently, gait-based emotion recognition, especially gait skeletons-based characteristic, has attracted much attention, while
Externí odkaz:
http://arxiv.org/abs/2110.13708
Autor:
Hu, Chuanfei, Xia, Tianyi, Cui, Ying, Zou, Quchen, Wang, Yuancheng, Xiao, Wenbo, Ju, Shenghong, Li, Xinde
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part C
Publikováno v:
In Advanced Engineering Informatics April 2024 60