Automated Machine Learning for Person Re-Identification

Éditeur :

Springer

Paru le : 2026-01-21

This book delves into the cutting-edge field of person re-identification (ReID), a critical area within deep learning and computer vision. Addressing key challenges in current ReID models, it presents novel research combining automated machine learning (AutoML) techniques across three core aspects: ...
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Auteur

Éditeur

Collection
n.c

Parution
2026-01-21

Pages
184 pages

EAN papier
9789819534326

Dr. Hongyang Gu received the M.S. and Ph.D. degrees from the Xi’an Research Institute of High Technology, Xi’an 710025, China, in 2017 and 2022, respectively. Since Jun. 2022, Dr. Gu has been in the Department of Computer Science and Technology, Xi’an Research Institute of High Technology as a Lecturer. Dr. Gu focuses on the research of metric learning, automated machine learning, and person reidentification, with a focus on developing intelligent video surveillance systems based on deep learning. Dr. Gu has published several papers in CVPR, PR, KBS, Neurocomputing, etc.  Dr. Yao Ding received the M.S. and Ph.D. degrees from the Key Laboratory of Optical Engineering, Xi’an Research Institute of High Technology, Xi’an 710025, China, in 2013 and 2022. Dr. Ding’s research interests include neural network, computer vision, image processing, and hyperspectral image clustering. He has published several papers in IEEE Trans. on Geoscience and Remote Sensing (TGRS), IEEE Trans. on Multimedia (TMM), Expert Systems with Applications (ESWA), Defence Technology (DT), IEEE Geoscience and Remote Sensing Letters (GRSL), Neurocomputing, etc. Furthermore, he has published three monographs, and eight patents have been granted. He has received excellent doctoral dissertations from the China Simulation Society and the China Ordnance Industry Society in 2023. He also has received HIGHLY CITED AWARDS from Defence Technology (DT) journal. At present, he has twelve ESI highly cited papers. In addition, he is also the reviewer of TIP, TGRS, TNNLS, PR, JAG, INFFUS, ESWA, KBS, etc. He has also served as an Editorial Board Member of the Journal of Information and Intelligence. Prof. Xiaogang Yang received the Ph.D. degree from the Xi’an Research Institute of High Technology, Xi’an, China, in 2006. Prof. Yang is currently a Professor with the Xi’an Research Institute of High Technology, Xi’an, China. He is a distinguished scholar and researcher, currently serving as a committee member of the Image Application and System Integration Professional Committee of the Chinese Society of Image and Graphics, as well as a committee member of the Shaanxi General Aviation System Engineering Research Center. He has dedicated his career to the fields of image recognition and precision guidance, as well as machine vision and intelligent control.  Dr. Ruitao Lu received the Ph.D. degree in control science from the National University of Defense Technology, Changsha, China, in 2016. Dr. Lu is currently an Associate Professor with the Department of Control Engineering, Xi’an Research Institute of High Technology, Xi’an, China. His current research interests include pattern recognition, image processing, and machine learning. Dr. Lei Pu received the M.S. and Ph.D. degrees both from Air Force Engineering University, Xi’an, China, in 2016 and 2020, respectively. Dr. Pu has been a Lecturer with the Combat Support College, Xi’an Research Institute of High Technology, Xi’an. His main research interests include visual tracking, pattern recognition, and computer vision. Mr. Siming Han received the M.S. degree in School of Computer Science from Shaanxi Normal University, Xi’an, China, in 2019. Mr. Han is currently a Lecturer with the Department of Computer Science and Technology, Xi’an Research Institute of High Technology, Xi’an, China. His research interests include remote sensing and computer vision.

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9789819534333
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9789819534333
Prix
137,14 €
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Nombre pages imprimables
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