Graph Neural Network Methods and Applications in Scene Understanding

Éditeur :

Springer

Paru le : 2025-01-03

The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of graph data learning and structural feature extraction. Scene understanding is one of the researc...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2025-01-03

Pages
219 pages

EAN papier
9789819799329

Weibin Liu received the Ph.D. degree in Signal and Information Processing from Institute of Information Science at Beijing Jiaotong University, China, in 2001. During 2001-2005, he was a researcher in Information Technology Division at Fujitsu Research and Development Center Co., LTD. Since 2005, he has been with the Institute of Information Science, School of Computer Science and Technology at Beijing Jiaotong University, where currently he is a professor in Digital Media Research Group. He was also a visiting researcher in Center for Human Modeling and Simulation at University of Pennsylvania, PA, USA during 2009-2010. His research interests include computer vision, video and image processing, deep learning, computer graphics, virtual human and virtual environment, and pattern recognition.   Huaqing Hao received the B.S. and M.S. degree in Electronic Information Engineering from Heibei University, China, in 2015 and 2018, respectively. She received the Ph.D degree in Signal and Information Processing from Institute of Information Science at Be?ing Jiaotong University, China, in 2024. Currently, she is an associate professor at College of Electronic Information Engineering, Hebei University. Her main research interests include computer vision, pattern recognition and deep learning, in particular focusing on human parsing.   Hui Wang received the B.S. degree in Electronic Information Engineering from Hebei University, China, in 2016. He received the Ph.D degree in Signal and Information Processing from Institute of Information Science at Be?ing Jiaotong University, China, in 2023. Currently, he is an associate professor at College of Electronic Information Engineering, Hebei University. His research interests include computer vision, image processing, video object segmentation.   Zhiyuan Zou received the B.S. degree in Software Engineering from Beijing Jiaotong University, Beijing, China, in 2015, and Ph.D. degree in Software Engineering from Institute of Information Science, Beijing Jiaotong University, in 2022. Currently, he is an associate professor at Computer School, Beijing Information Science and Technology University. His research interests include scene understanding, deep learning, computer vision, and pattern recognition.   Weiwei Xing received the B.S. degree in Computer Science and Technology and the Ph.D. degree in Signal and Information Processing from Beijing Jiaotong University, Beijing, China, in 2001 and 2006, respectively. She was a visiting scholar at University of Pennsylvania, PA, USA during 2011-2012. She is currently a professor at School of Software Engineering, Beijing Jiaotong University and leads the research group on Intelligent Computing and Big Data. Her research interests include computer vision, intelligent perception and applications.  

Caractéristiques détaillées - droits

EAN PDF
9789819799336
Prix
189,89 €
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
14981 Ko
EAN EPUB
9789819799336
Prix
189,89 €
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
44524 Ko

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