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Communications in Computer and Information Science Ser.: Human Activity Recognition and Anomaly Detection : 4th International Workshop, DL-HAR 2024, and First International Workshop, ADFM 2024, Held in Conjunction with IJCAI 2024, Jeju, South Korea, August 3-9, 2024, Revised Selected Papers by Yizhou Wang (2024, Trade Paperback)
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About this product
Product Identifiers
PublisherSpringer
ISBN-109819790026
ISBN-139789819790029
eBay Product ID (ePID)2342492940
Product Key Features
Number of PagesXiv, 147 Pages
LanguageEnglish
Publication NameHuman Activity Recognition and Anomaly Detection : 4th International Workshop, DL-HAR 2024, and First International Workshop, ADFM 2024, Held in Conjunction with IJCAI 2024, Jeju, South Korea, August 3-9, 2024, Revised Selected Papers
SubjectComputer Simulation, Intelligence (Ai) & Semantics, Compilers
Publication Year2024
TypeTextbook
AuthorYizhou Wang
Subject AreaComputers
SeriesCommunications in Computer and Information Science Ser.
FormatTrade Paperback
Dimensions
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Dewey Edition23
Series Volume Number2201
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal006.4
Table Of Content.- Anomaly Detection with Foundation Models. .- GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection. .- CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection. .- DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive Learning. .- Dual Memory-guided Probabilistic Model for Weakly-supervised Anomaly Detection. .- Deep Learning for Human Activity Recognition. .- Real-Time Human Action Prediction via Pose Kinematics. .- Uncertainty Awareness for Unsupervised Domain Adaptation on Human Activity Recognition. .- Deep Interaction Feature Fusion for Robust Human Activity Recognition. .- How effective are Self-Supervised models for Contact Identification in Videos. .- A Wearable Multi-Modal Edge-Computing System for Real-Time Kitchen Activity Recognition.
SynopsisThis book constitutes the refereed proceedings of the 4th International and First International Workshop on Human Activity Recognition and Anomaly Detection, Conjunction with IJCAI 2024, held in Jeju, South Korea, during August 3-9, 2024. The 9 full papers included in this book were carefully reviewed and selected from 14 submissions. They were organized in topical sections as follows: Anomaly Detection with Foundation Models and Deep Learning for Human Activity Recognition.
LC Classification NumberQ334-342
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