Books by Synthesis Lectures on Computer Vision
Computational Methods for Integrating Vision and Language
Kenichi Kanatani, Yasuyuki Sugaya
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Computational Texture and Patterns: From Textons to Deep Learning
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Elastic Shape Analysis of Three-Dimensional Objects
Sebastian Kurtek, Ian H. Jermyn, Anuj Srivastava, Hamid Laga
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The Maximum Consensus Problem: Recent Algorithmic Advances
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Camera Networks: The Acquisition and Analysis of Videos over Wide Areas
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Person Re-Identification with Limited Supervision
Rameswar Panda, Amit K. Roy-Chowdhury
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Covariances in Computer Vision and Machine Learning
Hà Quang Minh, Vittorio Murino
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Computer Vision in the Infrared Spectrum: Challenges and Approaches
Angel D. Sappa, Michael Teutsch, Riad I. Hammoud
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Extreme Value Theory-Based Methods for Visual Recognition
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Background Subtraction: Theory and Practice
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Data Association for Multi-Object Visual Tracking
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Image-Based Modeling of Plants and Trees
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Ellipse Fitting for Computer Vision: Implementation and Applications
Yasushi Kanazawa, Kenichi Kanatani, Yasuyuki Sugaya
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Probabilistic and Biologically Inspired Feature Representations
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Multi-Modal Face Presentation Attack Detection
Hugo Jair Escalante, Sergio Escalera, Guodong Guo, Stan Z. Li, Jun Wan
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Deformable Surface 3D Reconstruction from Monocular Images
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Boosting-Based Face Detection and Adaptation
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A Guide to Convolutional Neural Networks for Computer Vision
Salman Khan, Mohammed Bennamoun, Syed Afaq Ali Shah, Hossein Rahmani
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Visual Domain Adaptation in the Deep Learning Era
Gabriela Csurka, Tatiana Tommasi, Mathieu Salzmann, Timothy M. Hospedales
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Normalization Techniques in Deep Learning
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Fine-Grained Image Analysis: Modern Approaches
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Advances in Face Presentation Attack Detection
Hugo Jair Escalante, Sergio Escalera, Guodong Guo, Stan Z. Li, Jun Wan
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A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence
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Normalization Techniques in Deep Learning
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Video Object Segmentation: Tasks, Datasets, and Methods
Xiankai Lu, Weiyao Lin, Ning Xu, Yunchao Wei
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Machine Unlearning for Governance of Foundation Models
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