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Viser: Computer Vision - Cognitive Models for Visual Commonsense Reasoning
Computer Vision Vital Source e-bog
Yixin Zhu og Song-Chun Zhu
(2026)
Springer Nature
434,00 kr.
Leveres umiddelbart efter køb
Søgbar e-bog
Computer Vision Vital Source e-bog
Yixin Zhu og Song-Chun Zhu
(2026)
Springer Nature
869,00 kr.
Leveres umiddelbart efter køb
Computer Vision Vital Source e-bog
Yixin Zhu og Song-Chun Zhu
(2026)
Springer Nature
565,00 kr.
Leveres umiddelbart efter køb
Computer Vision Vital Source e-bog
Yixin Zhu og Song-Chun Zhu
(2026)
Springer Nature
869,00 kr.
Leveres umiddelbart efter køb
Computer Vision
Cognitive Models for Visual Commonsense Reasoning
Song-Chun Zhu og Yixin Zhu
(2025)
Sprog: Engelsk
Springer
1.033,00 kr.
Denne bog er endnu ikke udgivet. Den forventes Nov 2025.
Detaljer om varen
- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Springer Nature (Januar 2026)
- Forfattere: Yixin Zhu og Song-Chun Zhu
- ISBN: 9783031981074R90
This volume on visual commonsense reasoning, part of a comprehensive three-volume series, presents a computational framework for bridging the gap between modern computer vision capabilities and human-like visual understanding. While current AI systems excel at pattern recognition tasks, they often lack the sophisticated reasoning capabilities that humans demonstrate effortlessly in understanding and interacting with their environment. This work addresses this limitation by integrating physical, social, and abstract reasoning within a unified computational framework. The volume is organized into three parts. The first part establishes the theoretical foundations of visual commonsense through a systematic examination of physical understanding, including affordances, intuitive physics, causality, and tool use. These components form the basis for understanding how objects and environments behave and interact. The second part delves into social reasoning aspects, exploring intent, theory of mind, and nonverbal communication - crucial capabilities for AI systems to interpret and predict human behavior. The third part investigates abstract visual reasoning, examining higher-level cognitive capabilities. Drawing from cognitive science, computer vision, and artificial intelligence, this work: Provides a systematic treatment of visual commonsense ranging from foundational theories to practical implementations Introduces computational frameworks integrating multiple forms of reasoning Demonstrates applications through extensive examples and case studies Highlights current challenges and future directions in developing human-like visual AI This carefully crafted volume serves as an invaluable resource for researchers, graduate students, and practitioners in computer vision, artificial intelligence, cognitive science, and related fields. It offers both theoretical insights and practical guidance for developing AI systems with more sophisticated visual understanding capabilities, moving closer to human-like visual intelligence.
Licens varighed:
Online udgaven er tilgængelig: 90 dage fra købsdato.
Offline udgaven er tilgængelig: 90 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
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Online udgaven er tilgængelig: 90 dage fra købsdato.
Offline udgaven er tilgængelig: 90 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Vital Source E-book
- Udgiver: Springer Nature (Januar 2026)
- Forfattere: Yixin Zhu og Song-Chun Zhu
- ISBN: 9783031981074
This volume on visual commonsense reasoning, part of a comprehensive three-volume series, presents a computational framework for bridging the gap between modern computer vision capabilities and human-like visual understanding. While current AI systems excel at pattern recognition tasks, they often lack the sophisticated reasoning capabilities that humans demonstrate effortlessly in understanding and interacting with their environment. This work addresses this limitation by integrating physical, social, and abstract reasoning within a unified computational framework. The volume is organized into three parts. The first part establishes the theoretical foundations of visual commonsense through a systematic examination of physical understanding, including affordances, intuitive physics, causality, and tool use. These components form the basis for understanding how objects and environments behave and interact. The second part delves into social reasoning aspects, exploring intent, theory of mind, and nonverbal communication - crucial capabilities for AI systems to interpret and predict human behavior. The third part investigates abstract visual reasoning, examining higher-level cognitive capabilities. Drawing from cognitive science, computer vision, and artificial intelligence, this work: Provides a systematic treatment of visual commonsense ranging from foundational theories to practical implementations Introduces computational frameworks integrating multiple forms of reasoning Demonstrates applications through extensive examples and case studies Highlights current challenges and future directions in developing human-like visual AI This carefully crafted volume serves as an invaluable resource for researchers, graduate students, and practitioners in computer vision, artificial intelligence, cognitive science, and related fields. It offers both theoretical insights and practical guidance for developing AI systems with more sophisticated visual understanding capabilities, moving closer to human-like visual intelligence.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Springer Nature (Januar 2026)
- Forfattere: Yixin Zhu og Song-Chun Zhu
- ISBN: 9783031981074R180
This volume on visual commonsense reasoning, part of a comprehensive three-volume series, presents a computational framework for bridging the gap between modern computer vision capabilities and human-like visual understanding. While current AI systems excel at pattern recognition tasks, they often lack the sophisticated reasoning capabilities that humans demonstrate effortlessly in understanding and interacting with their environment. This work addresses this limitation by integrating physical, social, and abstract reasoning within a unified computational framework. The volume is organized into three parts. The first part establishes the theoretical foundations of visual commonsense through a systematic examination of physical understanding, including affordances, intuitive physics, causality, and tool use. These components form the basis for understanding how objects and environments behave and interact. The second part delves into social reasoning aspects, exploring intent, theory of mind, and nonverbal communication - crucial capabilities for AI systems to interpret and predict human behavior. The third part investigates abstract visual reasoning, examining higher-level cognitive capabilities. Drawing from cognitive science, computer vision, and artificial intelligence, this work: Provides a systematic treatment of visual commonsense ranging from foundational theories to practical implementations Introduces computational frameworks integrating multiple forms of reasoning Demonstrates applications through extensive examples and case studies Highlights current challenges and future directions in developing human-like visual AI This carefully crafted volume serves as an invaluable resource for researchers, graduate students, and practitioners in computer vision, artificial intelligence, cognitive science, and related fields. It offers both theoretical insights and practical guidance for developing AI systems with more sophisticated visual understanding capabilities, moving closer to human-like visual intelligence.
Licens varighed:
Online udgaven er tilgængelig: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Online udgaven er tilgængelig: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Vital Source 365 day rentals (dynamic pages)
- Udgiver: Springer Nature (Januar 2026)
- Forfattere: Yixin Zhu og Song-Chun Zhu
- ISBN: 9783031981074R365
This volume on visual commonsense reasoning, part of a comprehensive three-volume series, presents a computational framework for bridging the gap between modern computer vision capabilities and human-like visual understanding. While current AI systems excel at pattern recognition tasks, they often lack the sophisticated reasoning capabilities that humans demonstrate effortlessly in understanding and interacting with their environment. This work addresses this limitation by integrating physical, social, and abstract reasoning within a unified computational framework. The volume is organized into three parts. The first part establishes the theoretical foundations of visual commonsense through a systematic examination of physical understanding, including affordances, intuitive physics, causality, and tool use. These components form the basis for understanding how objects and environments behave and interact. The second part delves into social reasoning aspects, exploring intent, theory of mind, and nonverbal communication - crucial capabilities for AI systems to interpret and predict human behavior. The third part investigates abstract visual reasoning, examining higher-level cognitive capabilities. Drawing from cognitive science, computer vision, and artificial intelligence, this work: Provides a systematic treatment of visual commonsense ranging from foundational theories to practical implementations Introduces computational frameworks integrating multiple forms of reasoning Demonstrates applications through extensive examples and case studies Highlights current challenges and future directions in developing human-like visual AI This carefully crafted volume serves as an invaluable resource for researchers, graduate students, and practitioners in computer vision, artificial intelligence, cognitive science, and related fields. It offers both theoretical insights and practical guidance for developing AI systems with more sophisticated visual understanding capabilities, moving closer to human-like visual intelligence.
Licens varighed:
Bookshelf online: 365 dage fra købsdato.
Bookshelf appen: 365 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Bookshelf online: 365 dage fra købsdato.
Bookshelf appen: 365 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback: 350 sider
- Udgiver: Springer (November 2025)
- Forfattere: Song-Chun Zhu og Yixin Zhu
- ISBN: 9783031981067
This volume on visual commonsense reasoning, part of a comprehensive three-volume series, presents a computational framework for bridging the gap between modern computer vision capabilities and human-like visual understanding. While current AI systems excel at pattern recognition tasks, they often lack the sophisticated reasoning capabilities that humans demonstrate effortlessly in understanding and interacting with their environment. This work addresses this limitation by integrating physical, social, and abstract reasoning within a unified computational framework.
The volume is organized into three parts. The first part establishes the theoretical foundations of visual commonsense through a systematic examination of physical understanding, including affordances, intuitive physics, causality, and tool use. These components form the basis for understanding how objects and environments behave and interact. The second part delves into social reasoning aspects, exploring intent, theory of mind, and nonverbal communication - crucial capabilities for AI systems to interpret and predict human behavior. The third part investigates abstract visual reasoning, examining higher-level cognitive capabilities.
Drawing from cognitive science, computer vision, and artificial intelligence, this work:
- Provides a systematic treatment of visual commonsense ranging from foundational theories to practical implementations
- Introduces computational frameworks integrating multiple forms of reasoning
- Demonstrates applications through extensive examples and case studies
- Highlights current challenges and future directions in developing human-like visual AI
This carefully crafted volume serves as an invaluable resource for researchers, graduate students, and practitioners in computer vision, artificial intelligence, cognitive science, and related fields. It offers both theoretical insights and practical guidance for developing AI systems with more sophisticated visual understanding capabilities, moving closer to human-like visual intelligence.
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