Stan Z. Li received a BEng degree from Hunan University, China, a MEng degree from National University of Defense Technology, China, and a Ph.D. degree from Surrey University, United Kingdom. He is currently a chair professor of Westlake University. Before that, he was a professor and the director of Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA), and was at Microsoft Research Asia, as a researcher from 2000–2004. Prior to that, he was an associate professor at Nanyang Technological University, Singapore. His research interests include pattern recognition and machine learning, image and vision processing, face recognition, biometrics, and intelligent video surveillance. He has published more than 200 papers in international journals and conferences, and authored and edited 8 books. He was an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence and is acting as the editor-in-chief for the Encyclopedia of Biometrics. He served as a program cochair for the International Conference on Biometrics 2007 and 2009, and has been involved in organizing other international conferences and workshops in the fields of his research interest. He was elevated to IEEE fellow for his contributions to the fields of face recognition, pattern recognition, and computer vision, and he is a member of the IEEE Computer Society.
9 Ebooks by Sergio Escalera
Sergio Escalera & Xavier Baró: Traffic-Sign Recognition Systems
This work presents a full generic approach to the detection and recognition of traffic signs. The approach is based on the latest computer vision methods for object detection, and on powerful methods …
PDF
English
€53.49
Sergio Escalera & Isabelle Guyon: Gesture Recognition
This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It …
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English
€149.79
Sergio Escalera & Markus Weimer: The NIPS ’17 Competition: Building Intelligent Systems
This book summarizes the organized competitions held during the first NIPS competition track. It provides both theory and applications of hot topics in machine learning, such as adversarial learning, …
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English
€53.49
Hugo Jair Escalante & Sergio Escalera: Explainable and Interpretable Models in Computer Vision and Machine Learning
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer …
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English
€149.79
Laura Igual & Santi Segui: Introduction to Data Science
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopt …
EPUB
English
DRM
€46.21
Sergio Escalera & Stephane Ayache: Inpainting and Denoising Challenges
The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrup …
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English
€53.49
Sergio Escalera & Ralf Herbrich: The NeurIPS ’18 Competition
This volume presents the results of the Neural Information Processing Systems Competition track at the 2018 Neur IPS conference. The competition follows the same format as the 2017 compet …
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English
€53.49
Jun Wan & Guodong Guo: Advances in Face Presentation Attack Detection
This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. The authors begin with fundamental and foundational information on face spoofing attack detecti …
PDF
English
€42.79
Laura Igual & Santi Segui: Introduction to Data Science
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, m …
EPUB
English
DRM
€51.38