Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jun-Hwa Kim"'
Autor:
Jun-Hwa Kim, Chee Sun Won
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1190 (2024)
Our approach to action recognition is grounded in the intrinsic coexistence of and complementary relationship between audio and visual information in videos. Going beyond the traditional emphasis on visual features, we propose a transformer-based net
Externí odkaz:
https://doaj.org/article/b553acd97b924a7397508204bf976e2e
Publikováno v:
IEEE Access, Vol 9, Pp 123348-123357 (2021)
This paper provides a modular architecture with deep neural networks as a solution for real-time video analytics in an edge-computing environment. The modular architecture consists of two networks of Front-CNN (Convolutional Neural Network) and Back-
Externí odkaz:
https://doaj.org/article/b68cc1046391466a86e1d3a784410c39
Autor:
Jun-Hwa Kim, Chee Sun Won
Publikováno v:
IEEE Access, Vol 8, Pp 60179-60188 (2020)
A pre-trained 2D CNN (Convolutional Neural Network) can be used for the spatial stream in the two-stream CNN structure for videos, treating the representative frame selected from the video as an input. However, the CNN for the temporal stream in the
Externí odkaz:
https://doaj.org/article/b02a5074f90e4f158385bb1e8979b6ee
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 3, p 377 (2022)
SMD (Singapore Maritime Dataset) is a public dataset with annotated videos, and it is almost unique in the training of deep neural networks (DNN) for the recognition of maritime objects. However, there are noisy labels and imprecisely located boundin
Externí odkaz:
https://doaj.org/article/ce2665e3f5764338a85280580363aae1
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ff0c805e3a12df732a3dc027af310e4
https://doi.org/10.1109/icassp49357.2023.10095516
https://doi.org/10.1109/icassp49357.2023.10095516
Publikováno v:
Electronics; Volume 11; Issue 6; Pages: 875
Deep Neural Networks (DNN) have contributed a significant performance improvement in face detection. However, since most models focus only on the improvement of detection accuracy with computationally expensive structures, it is still far from real-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dec7f9c7f04ff4dfbfef5be2468e7384
Autor:
Chee Sun Won, Jun-Hwa Kim
Publikováno v:
2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia).
Labeled images play an important role for training convolutional neural networks (CNN). In particular, training CNNs for facial emotion classification, the publicly available datasets suffer from noisy labels and inter-class imbalance problem. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b39d96036fe4bc84810155e645128251
https://doi.org/10.1109/icce-asia49877.2020.9277349
https://doi.org/10.1109/icce-asia49877.2020.9277349
Autor:
Seunggon Jung, Sun-Youl Ryu, Uttom Kumar Shet, Myung-In Kim, Byeong-Guk Kim, Jun-Hwa Kim, Hong-Ju Park, Hee-Kyun Oh, Min-Suk Kook
Publikováno v:
Journal of the Korean Association of Oral and Maxillofacial Surgeons
The purpose of this study was to investigate implant-supported restoration as a technique for restoring missing teeth in patients with aplastic anemia. Recurrent bleeding from wound sites leads to persistent release of iron in the tissue. Excessive i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cbd4a3c8f98d72541f1ce68f26e7618
http://europepmc.org/articles/PMC4641218
http://europepmc.org/articles/PMC4641218
Autor:
Min-Suk Kook, Hong-Ju Park, Myung-In Kim, Jeong Joon Han, Jun-Hwa Kim, Hee-Kyun Oh, Sun-Youl Ryu, Seunggon Jung, Byeong-Guk Kim
Publikováno v:
Maxillofacial Plastic and Reconstructive Surgery
Background This study was performed to evaluate their 5-year survival rates and identify the factors affecting the prognosis of oral cancer patients who had undergone surgical treatment only. Methods Among 130 patients who were diagnosed with maligna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03d783606e8bcc51a4a47c2a3f84bd90
http://europepmc.org/articles/PMC4715147
http://europepmc.org/articles/PMC4715147
Autor:
Jun-Hwa Kim, Hong-Ju Park, Myung-In Kim, Min-Suk Kook, Sun-Youl Ryu, Hee-Kyun Oh, Seunggon Jung
Publikováno v:
Maxillofacial Plastic and Reconstructive Surgery
Background This study was performed to evaluate three-dimensional positional change of the condyle using three-dimensional computed tomography (3D-CT) following unilateral sagittal split ramus osteotomy (USSRO) in patients with mandibular prognathism
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fccac360e6bb4f43c17433a4892c9844