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2023 연구성과별 연구자 정보 (1641 / 2675)

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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Multi-Jet Event classification with Convolutional neural network at Large Scale Yoo, Hwidong Yoo, H 9 Yonsei Univ, Dept Phys, 50 Yonsei Ro, Seoul 03722, South Korea jiwoong.kim@cern.ch;
Multi-Jet Event classification with Convolutional neural network at Large Scale Hwang, Soonwook Hwang, S 10 Korea Inst Sci & Technol Informat, 245 Daehak Ro, Daejeon, South Korea jiwoong.kim@cern.ch;
Multi-Jet Event classification with Convolutional neural network at Large Scale Cho, Kihyeon Cho, K 11 Korea Inst Sci & Technol Informat, 245 Daehak Ro, Daejeon, South Korea jiwoong.kim@cern.ch;
Multi-Jet Event classification with Convolutional neural network at Large Scale Hahm, Jaegyoon Hahm, J 12 Korea Inst Sci & Technol Informat, 245 Daehak Ro, Daejeon, South Korea jiwoong.kim@cern.ch;
Multi-Jet Event classification with Convolutional neural network at Large Scale Myung, Hunjoo Myung, H 13 Korea Inst Sci & Technol Informat, 245 Daehak Ro, Daejeon, South Korea jiwoong.kim@cern.ch;
Multi-Jet Event classification with Convolutional neural network at Large Scale Kim, Minsik Kim, M 14 Korea Inst Sci & Technol Informat, 245 Daehak Ro, Daejeon, South Korea jiwoong.kim@cern.ch;
Multi-Jet Event classification with Convolutional neural network at Large Scale Hong, Taeyoung Hong, T 15 Korea Inst Sci & Technol Informat, 245 Daehak Ro, Daejeon, South Korea jiwoong.kim@cern.ch;
Multi-Layer Decomposition and Synthesis of HDR Images to Improve High-Saturation Boundaries Kwon, Hyuk-Ju Kwon, HJ 1 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 702701, South Korea shak2@ee.knu.ac.kr;
Multi-Layer Decomposition and Synthesis of HDR Images to Improve High-Saturation Boundaries Lee, Sung-Hak Lee, SH 2 교신저자 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 702701, South Korea shak2@ee.knu.ac.kr;
Multi-level alignment for few-shot temporal action localization Keisham, Kanchan Keisham, K 1 Kyungpook Natl Univ, Grad Sch Artificial Intelligence, Daegu 41566, South Korea kanchankeisham@gmail.com;max.jalali@gmail.com;jonghong89@gmail.com;mholee@gmail.com;
Multi-level alignment for few-shot temporal action localization Jalali, Amin Jalali, A 2 Kyungpook Natl Univ, AI Inst Technol, KNU LG Elect Convergence Res Ctr, Daegu 41566, South Korea AAH-6921-2019 Jalali, Amin 0000-0002-4095-1308 Jalali, Amin kanchankeisham@gmail.com;max.jalali@gmail.com;jonghong89@gmail.com;mholee@gmail.com;
Multi-level alignment for few-shot temporal action localization Kim, Jonghong Kim, J 3 kanchankeisham@gmail.com;max.jalali@gmail.com;jonghong89@gmail.com;mholee@gmail.com;
Multi-level alignment for few-shot temporal action localization Lee, Minho Lee, M 4 교신저자 Kyungpook Natl Univ, Grad Sch Artificial Intelligence, Daegu 41566, South Korea ABE-5735-2021 Lee, Min-Ho kanchankeisham@gmail.com;max.jalali@gmail.com;jonghong89@gmail.com;mholee@gmail.com;
Multi-level alignment for few-shot temporal action localization Lee, Minho Lee, M 4 교신저자 Kyungpook Natl Univ, AI Inst Technol, KNU LG Elect Convergence Res Ctr, Daegu 41566, South Korea ABE-5735-2021 Lee, Min-Ho kanchankeisham@gmail.com;max.jalali@gmail.com;jonghong89@gmail.com;mholee@gmail.com;
Multi-level alignment for few-shot temporal action localization Lee, Minho Lee, M 4 교신저자 Keimyung Univ, Dept Res, Dongsan Med Ctr, 402,Daegu Technopk Keimyung Univ Ctr 1035, Daegu 42601, South Korea ABE-5735-2021 Lee, Min-Ho kanchankeisham@gmail.com;max.jalali@gmail.com;jonghong89@gmail.com;mholee@gmail.com;
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