Zobrazeno 1 - 10 of 21 pro vyhledávání: '"Yutong Ban"'
1
Akademický článek
Enhancing direct‐path relative transfer function using deep neural network for robust sound source localization
Autor: Bing Yang, Runwei Ding, Yutong Ban, Xiaofei Li, Hong Liu
Publikováno v: CAAI Transactions on Intelligence Technology, Vol 7, Iss 3, Pp 446-454 (2022)
Abstract This article proposes a deep neural network (DNN)‐based direct‐path relative transfer function (DP‐RTF) enhancement method for robust direction of arrival (DOA) estimation in noisy and reverberant environments. The DP‐RTF refers to t
Externí odkaz: https://doaj.org/article/2131e26277fa4547bf556b4f7244c429
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2
Akademický článek
Challenges in surgical video annotation
Autor: Thomas M. Ward, Danyal M. Fer, Yutong Ban, Guy Rosman, Ozanan R. Meireles, Daniel A. Hashimoto
Publikováno v: Computer Assisted Surgery, Vol 26, Iss 1, Pp 58-68 (2021)
Annotation of surgical video is important for establishing ground truth in surgical data science endeavors that involve computer vision. With the growth of the field over the last decade, several challenges have been identified in annotating spatial,
Externí odkaz: https://doaj.org/article/370937f185064f45bb36ef3bd366d7c0
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5
Challenges in surgical video annotation
Autor: Ozanan R. Meireles, Guy Rosman, Yutong Ban, Danyal Fer, Daniel A. Hashimoto, Thomas M. Ward
Publikováno v: Computer Assisted Surgery, Vol 26, Iss 1, Pp 58-68 (2021)
Annotation of surgical video is important for establishing ground truth in surgical data science endeavors that involve computer vision. With the growth of the field over the last decade, several challenges have been identified in annotating spatial,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c13159b6a8e37cbb8085b88cfc8cf2d3
https://doaj.org/article/370937f185064f45bb36ef3bd366d7c0
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7
Artificial intelligence prediction of cholecystectomy operative course from automated identification of gallbladder inflammation
Autor: Thomas M, Ward, Daniel A, Hashimoto, Yutong, Ban, Guy, Rosman, Ozanan R, Meireles
Publikováno v: Surgical endoscopy. 36(9)
Operative courses of laparoscopic cholecystectomies vary widely due to differing pathologies. Efforts to assess intra-operative difficulty include the Parkland grading scale (PGS), which scores inflammation from the initial view of the gallbladder on
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::15af133b90aca2fc2fd569f4d47a7891
https://pubmed.ncbi.nlm.nih.gov/35031869
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8
Tracking Multiple Audio Sources With the von Mises Distribution and Variational EM
Autor: Radu Horaud, Christine Evers, Xavier Alameda-Pineda, Yutong Ban
Publikováno v: IEEE Signal Processing Letters
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2019, 26 (6), pp.798-802. ⟨10.1109/LSP.2019.2908376⟩
IEEE Signal Processing Letters, 2019, 26 (6), pp.798-802. ⟨10.1109/LSP.2019.2908376⟩
In this paper we address the problem of simultaneously tracking several moving audio sources, namely the problem of estimating source trajectories from a sequence of observed features. We propose to use the von Mises distribution to model audio-sourc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a66b575c33d60722f55d4a4863027db6
https://doi.org/10.1109/lsp.2019.2908376
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9
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows
Autor: Guy Rosman, Ozanan R. Meireles, Daniel A. Hashimoto, Thomas M. Ward, Hidekazu Iwaki, Yutong Ban, Daniela Rus, Taisei Kondo
Publikováno v: ICRA
Analyzing surgical workflow is crucial for surgical assistance robots to understand surgeries. With the understanding of the complete surgical workflow, the robots are able to assist the surgeons in intra-operative events, such as by giving a warning
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fc0dc7f2e52924be21f707d58961051
https://doi.org/10.1109/icra48506.2021.9561770
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10
ODANet: Online Deep Appearance Network for Identity-Consistent Multi-Person Tracking
Autor: Yutong Ban, Xavier Alameda-Pineda, Guillaume Sarrazin, Guillaume Delorme
Publikováno v: ICPR 2021-25th International Conference on Pattern Recognition / Workshops
ICPR 2021-25th International Conference on Pattern Recognition / Workshops, Jan 2021, Milano / Virtual, Italy. pp.803-818, ⟨10.1007/978-3-030-68780-9_60⟩
ICPR 2021-25th International Conference on Pattern Recognition / Workshops, Jan 2021, Milano / Virtual, Italy. pp.1-15
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687793
ICPR Workshops (6)
ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Pattern Recognition. ICPR International Workshops and Challenges
International audience; The analysis of effective states through time in multi-person scenarii is very challenging, because it requires to consistently track all persons over time. This requires a robust visual appearance model capable of re-identify
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a12b8f2fd12867b6aac2e0d109364c29
https://inria.hal.science/hal-03188744v2/file/main.pdf
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