Computer Vision - ECCV 2022 Workshops: Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part I

The 8-volume set of the LNCS books 13801-13809 contains the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022, in Tel Aviv, Israel. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the conference proceedings.

Format: Paperback / softback
Length: 763 pages
Publication date: 15 February 2023
Publisher: Springer International Publishing AG

The 8-volume set, comprising the LNCS books 13801 until 13809, represents the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision (ECCV), ECCV 2022. This prestigious conference took place in Tel Aviv, Israel, from October 23 to 27, 2022, with the workshops being conducted in a hybrid or online format.

Within this comprehensive volume set, there are 367 full papers that have undergone meticulous review and selection for inclusion in the ECCV 2022 workshop proceedings. These papers are organized into six distinct parts, each focusing on a specific area of computer vision research.

Part I: AI for Space, W01, explores the application of artificial intelligence (AI) in space exploration and satellite imaging. It delves into topics such as autonomous navigation, object detection, and image analysis in space environments.

Part II: Vision for Art, W02, focuses on the use of computer vision for artistic purposes, including image manipulation, content creation, and artistic expression. It explores techniques for generating realistic images, extracting artistic features, and understanding artistic styles.

Part III: Adversarial Robustness in the Real World, W03, addresses the challenges of robustness in computer vision systems when faced with adversarial attacks. It explores techniques for detecting and mitigating adversarial examples, enhancing the robustness of vision systems in real-world applications.

Part IV: Autonomous Vehicle Vision, W04, explores the use of computer vision in autonomous vehicles, including object detection, scene understanding, and navigation. It discusses the latest developments in autonomous driving technology and the potential benefits it brings to transportation.

Part V: Self-Supervised Learning: What Is Next?, W09, examines the latest advancements in self-supervised learning, a powerful technique for learning from unlabeled data. It explores various applications of self-supervised learning, such as image classification, object detection, and text generation.

Part VI: AI for Creative Video Editing and Understanding, W16, explores the use of AI in creative video editing and understanding. It discusses techniques for video analysis, content generation, and scene understanding, with a focus on enhancing the creative process and understanding video content.

Part VII: Visual Inductive Priors for Data-Efficient Deep Learning, W17, investigates the use of visual inductive priors in deep learning for efficient training and inference. It explores the benefits of visual priors in reducing the complexity of deep learning models and improving their performance.

Part VIII: Mobile Intelligent Photography and Imaging, W18, focuses on the use of mobile devices for intelligent photography and imaging. It explores techniques for image enhancement, object detection, and scene understanding, with a particular emphasis on mobile applications.

Part IX: People Analysis: From Face, Body, and Fashion to 3D Virtual Avatars, W19, explores the use of computer vision for analyzing human faces, bodies, and fashion. It discusses techniques for face recognition, body pose estimation, and avatar generation, with a focus on applications in entertainment, healthcare, and virtual reality.

Part X: Safe Artificial Intelligence for Automated Driving, W20, addresses the challenges of developing safe and reliable artificial intelligence for automated driving. It explores techniques for perception, decision-making, and control, with a particular emphasis on addressing safety concerns and ensuring the ethical and responsible use of AI in transportation.

Part XI: Real-World Surveillance: Applications and Challenges, W21, explores the use of computer vision in real-world surveillance applications. It discusses topics such as object detection, face recognition, and scene understanding, with a focus on applications in security, law enforcement, and public safety.

Part XII: Affective Behavior Analysis In-the-Wild, W22, investigates the use of computer vision for analyzing affective behavior in natural environments. It explores techniques for emotion recognition, facial expression analysis, and body posture analysis, with a particular emphasis on applications in human-computer interaction and social media.

Part XIII: Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark, W23, focuses on the use of computer vision for navigation in human environments. It discusses the development of a human body pose dataset and benchmark, which can be used to improve the accuracy and reliability of human-robot interaction and navigation systems.

Part XIV: Distributed Smart Cameras, W24, explores the use of distributed smart cameras for surveillance and monitoring applications. It discusses the design and implementation of distributed camera networks, as well as the challenges and opportunities associated with their use.

Part XV: Causality in Visi, W25, investigates the use of computer vision for understanding causality in visual scenes. It explores techniques for scene understanding, event detection, and causal inference, with a particular emphasis on applications in robotics, medical imaging, and video analysis.

In conclusion, the 8-volume set of the ECCV 2022 workshop proceedings, comprising the LNCS books 13801 until 13809, represents a comprehensive and cutting-edge collection of research in computer vision. These proceedings showcase the latest advancements in various areas of computer vision, including AI for space, vision for art, adversarial robustness, autonomous vehicle vision, self-supervised learning, AI for creative video editing, visual inductive priors, mobile intelligent photography, and imaging, people analysis, safe artificial intelligence for automated driving, real-world surveillance, affective behavior analysis in-the-wild, visual perception for navigation in human environments, distributed smart cameras, and causality in visi. The contributions made by the authors and presenters at ECCV 2022 have significantly contributed to the field of computer vision and have the potential to shape the future of this rapidly evolving discipline.

Weight: 1193g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031250552
Edition number: 1st ed. 2023