Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Hong-Yuan Mark Liao"'
Publikováno v:
IEEE Access, Vol 9, Pp 104395-104404 (2021)
In this paper, we propose an end-to-end key-player-based group activity recognition network specially applied to the identification of basketball offensive tactics in limited data scenarios. Our previous studies show that basketball tactics can be be
Externí odkaz:
https://doaj.org/article/a586c2b57a864b6eab53b92e18bf06c5
Autor:
Po-Kang Lin, Yu-Hsien Chiu, Chiu-Jung Huang, Chien-Yao Wang, Mei-Lien Pan, Da-Wei Wang, Hong-Yuan Mark Liao, Yong-Sheng Chen, Chieh-Hsiung Kuan, Shih-Yen Lin, Li-Fen Chen
Publikováno v:
Journal of Medical Imaging. 9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6b64cd22bd2b358fda035a0a9b6c6f8
https://doi.org/10.1117/1.jmi.9.4.044501
https://doi.org/10.1117/1.jmi.9.4.044501
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58fff43667df7082cbc97991d17a4039
https://doi.org/10.1109/tmm.2020.3003631
https://doi.org/10.1109/tmm.2020.3003631
Publikováno v:
Journal of Information Science & Engineering; May2023, Vol. 39 Issue 3, p691-709, 19p
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd8673b80866cd1595987827678ed3a7
https://doi.org/10.1109/iccvw54120.2021.00092
https://doi.org/10.1109/iccvw54120.2021.00092
Publikováno v:
CVPR
We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal speed and accuracy. We propose a network scaling approach that modifies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fee79775b553b0d82f3ef4207db02ff2
http://arxiv.org/abs/2011.08036
http://arxiv.org/abs/2011.08036
Publikováno v:
ACM Multimedia
Learning from music to visual storytelling of shots is an interesting and emerging task. It produces a coherent visual story in the form of a shot type sequence, which not only expands the storytelling potential for a song but also facilitates automa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b539ffc7bfec1a875f94d6bb471776e
https://doi.org/10.1145/3394171.3413985
https://doi.org/10.1145/3394171.3413985
Autor:
Jun-Wei Hsieh, Hong-Yuan Mark Liao, Ming Ching Chang, Yong-Sheng Chen, Munkhjargal Gochoo, Chien-Yao Wang, Ping-Yang Chen
Publikováno v:
ICIP
Drones can provide a wider field of view, high mobility and flexibility for monitoring and analyzing traffic flows and safety conditions. In case of a perpendicular viewing angle to the ground, there will be a very less occlusion that can occur and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf8dfac9e24a981d97700439828554a4
https://doi.org/10.1109/icip40778.2020.9190890
https://doi.org/10.1109/icip40778.2020.9190890
Publikováno v:
ICIP
In recent years, deep learning has made dramatic advances in computer vision field, especially in improving the performance of object detection as well as instance semantic segmentation. Still, multi-object tracking (MOT) remains a very challenging i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89caa35cd46c35bb63442e2a9dd93290
https://doi.org/10.1109/icip40778.2020.9190802
https://doi.org/10.1109/icip40778.2020.9190802
Publikováno v:
CVPR Workshops
This paper proposes a novel RHF-Net (Recursive Hybrid Fusion pyramid network) to solve the problem of small object detection on real-time embedded devices. Though the object detection accuracy rate is improved by a large margin with SoTA (State-of-Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00b3adf0f3d68d4a9738642fd3b429c0
https://doi.org/10.1109/cvprw50498.2020.00209
https://doi.org/10.1109/cvprw50498.2020.00209