Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Tyng-Luh Liu"'
Autor:
Lung-Wen Tsai, Kuo-Ching Yuan, Sen-Kuang Hou, Wei-Lin Wu, Chen-Hao Hsu, Tyng-Luh Liu, Kuang-Min Lee, Chiao-Hsuan Li, Hann-Chyun Chen, Ethan Tu, Rajni Dubey, Chun-Fu Yeh, Ray-Jade Chen
Publikováno v:
Biology, Vol 11, Iss 4, p 490 (2022)
Early and accurate prediction of endotracheal tube (ETT) location is pivotal for critically ill patients. Automatic and timely detection of faulty ETT locations from chest X-ray images may avert patients’ morbidity and mortality. Therefore, we desi
Externí odkaz:
https://doaj.org/article/b427536b4be4474db93bfd60395cec1f
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:1610-1618
This paper addresses a new task called referring 3D instance segmentation, which aims to segment out the target instance in a 3D scene given a query sentence. Previous work on scene understanding has explored visual grounding with natural language gu
Publikováno v:
IEEE Transactions on Multimedia. 23:1731-1743
An experienced director usually switches among different types of shots to make visual storytelling more touching. When filming a musical performance, appropriate switching shots can produce some special effects, such as enhancing the expression of e
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
AAAI
We introduce a query-driven approach (qMIL) to multi-instance learning where the queries aim to uncover the class labels embodied in a given bag of instances. Specifically, it solves a multi-instance multi-label learning (MIML) problem with a more ch
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197772
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::180a0b931b5a6a3783fab3e28782a308
https://doi.org/10.1007/978-3-031-19778-9_42
https://doi.org/10.1007/978-3-031-19778-9_42
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).