Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sitapa Rujikietgumjorn"'
Autor:
Sorn Sooksatra, Sitapa Rujikietgumjorn
Publikováno v:
Journal of Imaging, Vol 7, Iss 12, p 264 (2021)
This paper presents an extended model for a pedestrian attribute recognition network utilizing skeleton data as a soft attention model to extract a local feature corresponding to a specific attribute. This technique helped keep valuable information s
Externí odkaz:
https://doaj.org/article/212d4b64660a4d7b90a94b7f777ce640
Publikováno v:
2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56b0d3e3a21330d0f8978c4040ba9466
https://doi.org/10.1109/jcsse54890.2022.9836300
https://doi.org/10.1109/jcsse54890.2022.9836300
Autor:
Wen-Nung Lie, Ananya Kuasakunrungroj, Toshiaki Kondo, Sitapa Rujikietgumjorn, Hirohiko Kaneko
Publikováno v:
2019 4th International Conference on Information Technology (InCIT).
Bionic Eye is the device to restore the vision for the blind. This device is developed based on vision partway stimulation knowledge. However, because of the bionic eye stimulation hardware limitation, possible stimulation pattern are low-resolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50efe1c277d39d9da44d8f517f3292cd
https://doi.org/10.1109/incit.2019.8912066
https://doi.org/10.1109/incit.2019.8912066
Publikováno v:
MultiMedia Modeling ISBN: 9783319735993
MMM (2)
MMM (2)
In this paper, we present the Sloth Search System (SSS) for large scale video browsing. Our key concept is to apply object recognition and scene classification to generate keyword tags from video images. This indexing process is performed only on sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56d57fa829634ce69c1958a8b99fe22a
https://doi.org/10.1007/978-3-319-73600-6_46
https://doi.org/10.1007/978-3-319-73600-6_46
Publikováno v:
AVSS
From the empirical studies, it is quite difficult for the license plate recognition to perform 100% accuracy in a real world environment. Nevertheless, it is common that only a few characters are misread from a license plate recognition system. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2f77f40d42511a38195f2ed39c50d28
https://doi.org/10.1109/avss.2017.8078538
https://doi.org/10.1109/avss.2017.8078538
Publikováno v:
AVSS
Different types of vehicles, such as buses and cars, can be quite different in shapes and details. This makes it more difficult to try to learn a single feature vector that can detect all types of vehicles using a single object class. We proposed an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4e5db98910e2ed48a995946e4f89e65
https://doi.org/10.1109/avss.2017.8078520
https://doi.org/10.1109/avss.2017.8078520
Publikováno v:
AVSS
Real-time image processing on low cost embedded systems is still a challenging research area. For this embedded platform, there is a trade-off between accuracy and processing time. We proposed a pedestrian detection method for thermal images that can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de0766911ce6e15cf4e02c9acbba8db1
https://doi.org/10.1109/avss.2017.8078561
https://doi.org/10.1109/avss.2017.8078561
Autor:
Yingbin Zheng, Tao Hu, Guang Han, Sitapa Rujikietgumjorn, Liang Wang, Longyin Wen, Yongzhen Huang, Yi Wei, Kannappan Palaniappan, Tatiana Khanova, Hong Wang, Martin Lauer, Fabio Galasso, Koray Ozcan, Xiaoyi Yu, Yao Lu, Wei Tian, Thomas Sikora, Dmitriy Anisimov, Filiz Bunyak, Pierluigi Carcagnì, Erik Bochinski, Li Wang, Xiangyang Xue, Lipeng Ke, Yuezun Li, Marco Del Coco, Nattachai Watcharapinchai, Sikandar Amin, Nenghui Song, Noor M. Al-Shakarji, Hao Ye, Volker Eiselein, Tino Kutschbach, Shuo Wang, Yuqi Zhang, Dawei Du, Ming-Ching Chang, Siwei Lyu, Honggang Qi
Publikováno v:
AVSS
The rapid advances of transportation infrastructure have led to a dramatic increase in the demand for smart systems capable of monitoring traffic and street safety. Fundamental to these applications are a community-based evaluation platform and bench
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f3607721dbdd77e70403d7adbfdd0e5
http://hdl.handle.net/11573/1317829
http://hdl.handle.net/11573/1317829
Publikováno v:
CVPR
We present a quadratic unconstrained binary optimization (QUBO) framework for reasoning about multiple object detections with spatial overlaps. The method maximizes an objective function composed of unary detection confidence scores and pairwise over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c96b98d55898455852b52c975d346650
https://doi.org/10.1109/cvpr.2013.473
https://doi.org/10.1109/cvpr.2013.473