Multi-Modal Human Modeling, Analysis and Synthesis
暫譯: 多模態人類建模、分析與合成
Yu, Jun, Luo, Changwei, Chen, Chang Wen
- 出版商: CRC
- 出版日期: 2025-10-20
- 售價: $5,530
- 貴賓價: 9.5 折 $5,254
- 語言: 英文
- 頁數: 320
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032527641
- ISBN-13: 9781032527642
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相關分類:
Computer Vision
海外代購書籍(需單獨結帳)
商品描述
Multi-modal Human Modeling, Analysis and Synthesis aims to adopt a structured perspective, building a comprehensive technical framework for multi-modal human modeling, analysis, and synthesis-progressing from local details to holistic perspectives, and from face features to body dynamics.
商品描述(中文翻譯)
《多模態人類建模、分析與合成》旨在採用結構化的視角,建立一個全面的技術框架,涵蓋多模態的人類建模、分析與合成,從局部細節進展到整體視角,並從面部特徵延伸到身體動態。
作者簡介
Jun Yu is currently an associate professor and laboratory director with the Department of Automation and the Institute of Advanced Technology, University of Science and Technology of China. His research interests are Multimedia Computing and Intelligent Robot. He has published 200+ journal articles and conference papers in TPAMI, IJCV, JMLR, TIP, TMM, etc. He has received 6 Best Paper Awards from premier conferences, including CVPR PBVS, ICCV MFR, ICME, FG, and won 60+ championships from Grand Challenges held in NeurIPS, CVPR, ICCV, MM, ECCV, IJCAI, AAAI.
Changwei Luo is an assistant research fellow at Department of Electronic Engineering, Tsinghua University. He is also working with Academy of Military Sciences, Beijing, China. His research interests cover computer vision and human-machine interaction. He has published more than 40 papers.
Chang Wen Chen is currently Chair Professor of Visual Computing at The Hong Kong Polytechnic University. He was previously an Empire Innovation Professor of Computer Science and Engineering at the University at Buffalo, State University of New York from 2008 to 2021. He also served as Dean of the School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen from 2017 to 2020. He was Allen Henry Endow Chair Professor at the Florida Institute of Technology from 2003 to 2007. He was on the faculty of Electrical and Computer Engineering at the University of Missouri-Columbia from 1996 to 2003 and on the faculty of Electrical and Computer Engineering at the University of Rochester from 1992 to 1996.
He is currently the Associate Editor-in-Chief of IEEE Transactions on Biometrics, Behavior, and Identity Science. He has been an Editor-in-Chief or Editor for several other major IEEE Transactions and Journals, including the IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, Proceedings of IEEE, IEEE Journal of Selected Areas in Communications, and IEEE Journal of Emerging and Selected Topics in Circuits and Systems. He has served as Conference Chair for several major IEEE, ACM and SPIE conferences related to multimedia video communications and signal processing. His research has been supported by NSF, DARPA, Air Force, NASA, Whitaker Foundation, Microsoft, Intel, Kodak, Huawei, and Technicolor.
Chen received his BS degree from University of Science and Technology of China in 1983, MSEE degree from University of Southern California in 1986, and Ph.D. degree from University of Illinois at Urbana-Champaign in 1992. He and his students have received nine Best Paper Awards or Best Student Paper Awards. He has also received several research and professional achievement awards, including Sigma Xi Excellence in Graduate Research Mentoring Award in 2003, Alexander von Humboldt Research Award in 2009, the University at Buffalo Exceptional Scholar - Sustained Achievement Award in 2012, the State University of New York System Chancellor's Award for Excellence in Scholarship and Creative Activities in 2016, and the Distinguished ECE Alumni Award from University of Illinois at Urbana-Champaign in 2019. He is an IEEE Fellow since 2004, an SPIE Fellow since 2007 and a member of Academia Europaea since 2021.
作者簡介(中文翻譯)
余俊目前是中國科學技術大學自動化系及先進技術研究所的副教授及實驗室主任。他的研究興趣包括多媒體計算和智能機器人。他在TPAMI、IJCV、JMLR、TIP、TMM等期刊和會議上發表了200多篇文章。他曾獲得6個最佳論文獎,來自於CVPR PBVS、ICCV MFR、ICME、FG等頂尖會議,並在NeurIPS、CVPR、ICCV、MM、ECCV、IJCAI、AAAI等大型挑戰賽中贏得60多個冠軍。
羅昌偉是清華大學電子工程系的助理研究員。他同時也在中國北京的軍事科學院工作。他的研究興趣涵蓋計算機視覺和人機互動。他已發表超過40篇論文。
陳昌文目前是香港理工大學視覺計算的講座教授。他曾於2008年至2021年擔任紐約州立大學水牛城分校計算機科學與工程的帝國創新教授。他還曾於2017年至2020年擔任香港中文大學(深圳)科學與工程學院院長。他於2003年至2007年擔任佛羅里達理工學院的艾倫·亨利捐贈講座教授。他於1996年至2003年在密蘇里大學哥倫比亞分校的電氣與計算機工程系任教,並於1992年至1996年在羅徹斯特大學的電氣與計算機工程系任教。
他目前是IEEE生物識別、行為與身份科學期刊的副主編。他曾擔任多個其他主要IEEE期刊的主編或編輯,包括IEEE多媒體期刊、IEEE視頻技術電路與系統期刊、IEEE會議錄、IEEE選定通訊領域期刊及IEEE新興與選定電路與系統主題期刊。他曾擔任多個與多媒體視頻通信和信號處理相關的主要IEEE、ACM和SPIE會議的會議主席。他的研究得到了NSF、DARPA、空軍、NASA、Whitaker基金會、微軟、英特爾、柯達、華為和Technicolor的支持。
陳教授於1983年獲得中國科學技術大學的學士學位,1986年獲得南加州大學的碩士學位,1992年獲得伊利諾伊大學香檳分校的博士學位。他和他的學生曾獲得九個最佳論文獎或最佳學生論文獎。他還獲得了多個研究和專業成就獎,包括2003年的Sigma Xi研究生指導卓越獎、2009年的亞歷山大·馮·洪堡研究獎、2012年的水牛城大學卓越學者 - 持續成就獎、2016年的紐約州立大學系統校長學術與創意活動卓越獎,以及2019年的伊利諾伊大學香檳分校傑出電氣與計算機工程校友獎。他自2004年起成為IEEE Fellow,自2007年起成為SPIE Fellow,並自2021年起成為歐洲科學院成員。