Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Wang, Chunmao"'
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 19, Iss 1, Pp 1-6 (2024)
Abstract This case report details the successful treatment of a 68-year-old male patient with locally advanced RET-rearranged lung adenocarcinoma using neoadjuvant pralsetinib. The patient initially presented with a suspicious right upper lobe nodule
Externí odkaz:
https://doaj.org/article/637b3f31a86245ada09565dd2f0bd1b7
Currently, many face forgery detection methods aggregate spatial and frequency features to enhance the generalization ability and gain promising performance under the cross-dataset scenario. However, these methods only leverage one level frequency in
Externí odkaz:
http://arxiv.org/abs/2210.03899
Automatic facial action unit (AU) recognition is a challenging task due to the scarcity of manual annotations. To alleviate this problem, a large amount of efforts has been dedicated to exploiting various weakly supervised methods which leverage nume
Externí odkaz:
http://arxiv.org/abs/2204.00379
Iris presentation attack detection (PAD) has achieved remarkable success to ensure the reliability and security of iris recognition systems. Most existing methods exploit discriminative features in the spatial domain and report outstanding performanc
Externí odkaz:
http://arxiv.org/abs/2204.00376
Autor:
Li, Qiang, Wang, Jingjing, Yao, Zhaoliang, Li, Yachun, Yang, Pengju, Yan, Jingwei, Wang, Chunmao, Pu, Shiliang
Learning from a label distribution has achieved promising results on ordinal regression tasks such as facial age and head pose estimation wherein, the concept of adaptive label distribution learning (ALDL) has drawn lots of attention recently for its
Externí odkaz:
http://arxiv.org/abs/2204.00309
Although previous CNN based face anti-spoofing methods have achieved promising performance under intra-dataset testing, they suffer from poor generalization under cross-dataset testing. The main reason is that they learn the network with only binary
Externí odkaz:
http://arxiv.org/abs/2202.10187
Autor:
Li, YunSong, Wang, Heng, Wang, Chunmao, Zhang, Li, Gong, Changfan, Yan, Dongjie, Liu, Fangchao, Ruan, Hongyun
Publikováno v:
In Journal of Surgical Research July 2024 299:282-289
Automatic facial action unit (AU) recognition is a challenging task due to the scarcity of manual annotations. To alleviate this problem, a large amount of efforts has been dedicated to exploiting various methods which leverage numerous unlabeled dat
Externí odkaz:
http://arxiv.org/abs/2107.14399
In facial action unit (AU) recognition tasks, regional feature learning and AU relation modeling are two effective aspects which are worth exploring. However, the limited representation capacity of regional features makes it difficult for relation mo
Externí odkaz:
http://arxiv.org/abs/2102.12154
Although current face anti-spoofing methods achieve promising results under intra-dataset testing, they suffer from poor generalization to unseen attacks. Most existing works adopt domain adaptation (DA) or domain generalization (DG) techniques to ad
Externí odkaz:
http://arxiv.org/abs/2102.12129