Del 15047 - Lecture Notes in Computer Science

Advances in Visual Computing

19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part II

Häftad, Engelska, 2025

Av George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas

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This two-volume set LNCS 15046 and 15047 constitutes the refereed proceedings of the 17th International Symposium, ISVC 2024, held at Lake Tahoe, NV, USA, during October 21-23, 2024.The 54 (60) full papers and 12 poster papers were carefully reviewed and selected from 120 submissions. A total of 8 (13) papers were also accepted for oral presentation in special tracks from 15 submissions. The papers cover the following topical sections:Part I: Deep Learning; Computer Graphics; Video Analysis and Event Recognition; Motion and Tracking; Detection and Recognition; Visualization, and Medical Image Analysis.Part II: Segmentation; Recognition; Generalization in Visual Machine Learning; Vision and Robotics for Agriculture; Virtual Reality; Applications, and Poster.

Produktinformation

Utgivningsdatum2025-01-22
Mått155 x 235 x undefined mm
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor464
FörlagSpringer International Publishing AG
EAN9783031773884

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Segmentation: Generating Synthetic Tree Point Clouds for Deep Learning Applications in Remote Sensing.- Image Segmentation by Latent Space Phase-Gating with Applications in High-Content Screening.- Evaluating Segmentation of Human Body Parts across Datasets. Recognition: Unsupervised Effectiveness Estimation Measure Based on Rank Correlation for Image Retrieval.- VLPSR: Enhancing Zero-shot Object ReID with Vision-language Model.- Sign Language Recognition using Visual Hand Landmarks and the Parameters of American Sign Language. ST: Generalization in Visual Machine Learning: Self-Supervised Segmentation to Pose Estimation Model for Mechanical Systems with Complex Kinematics.- Selective Noise-Aided Machine Unlearning with Deep Feature Visualization.- Investigating the Impact of a Foundational Medical Image Model for CT Classification. ST: Vision and Robotics for Agriculture: Vision-based Xylem Wetness Classification in Stem Water Potential Determination.- HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning.- Machine Vision and Deep Learning, for Robotic Harvesting of Shiitake Mushrooms.- Video analyses of Water Drop Penetration Time Using Temporal Action Localization for Evaluating Soil Water Repellency.- SAMPLS: A prompt engineering approach using Segment-Anything-Model for PLant Science research. Virtual Reality: Impact of Relevant Augmented Reality Information on Human Performance.- Toward Dynamic NPC Interactions: Integrating GPT-Driven Agents in 3D Virtual Environments.- Exploring Ecological Validity: A Comparative Study of the Mere Exposure Effect on Screens and in Immersive Virtual Reality.- Increasing Training Effciency of Motion-Intensive Virtual Reality Training with Adaptations based on Physiological Measurement Data. Applications: Leveraging Zero-Shot Learning on Street-View Imagery for Built Environment Variable Analysis.- Enhancing Classification of Aquatic Species through Supervised Contrastive Learning and Advanced Image Super-Resolution.- Automated Corrosion Identification in Metal Imagery: Traditional vs. Deep Learning.- Underwater Image Restoration using Light Attenuation.- HCC: An explainable framework for classifying discomfort from video. Poster: Enhanced Maritime Safety through Deep Learning and Feature Selection.- Discrete Anomalous Regions (DAR) - going beyond heatmaps and predicting actionable discrete regions.- Learning Flight Path Based on Recording Image and Flight Operation.- MobileNetV2-Enhanced Depth Map Super-Resolution through Multi-Scale Image Guidance.- Road Surface Material Recognition from Dashboard Cameras.- Embedded-ViT: A Framework for Embedded Deployment of Vision-Transformer in Medical Applications.- An Image-Based Method for Defect Detection on Metal Surfaces.- Real-Time Evaluation of Aircraft Instruments.- Enhancing Learned Image Compression via Cross Window-based Attention.- A Design of Real-Time Style-Transfer Operations in a Game Engine.- PLOV: A Visualization Tool For Exploring Visibility in Family Living Situations.- Exploring Gesture-Based Interaction in Smartwatch Games: A Comparative Study between Continuous Gesture Recognition and Hidden Markov Models.

Advances in Visual Computing

19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part II

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