Del 15046 i serien Lecture Notes in Computer Science

Advances in Visual Computing

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

Häftad, Engelska, 2025

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

1 109 kr

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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 full papers and 12 poster papers were carefully reviewed and selected from 120 submissions.

Produktinformation

Utgivningsdatum2025-01-22
Mått155 x 235 x 31 mm
Vikt844 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor522
FörlagSpringer International Publishing AG
ISBN9783031773914

Tillhör följande kategorier

Hårdvara inom Data och IT
Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT
Systemvetenskap och AI inom Data och IT

Deep Learning I: Advanced Post-Processing for Object Detection Dataset Generation.- AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Effcient Alternative to Attention in ViTs.- Multi-Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay.- Improving Zero-Shot Template-Based 6D Pose Estimation with Geometric Features.- Contrastive Loss based on Contextual Similarity for Image Classification. Computer Graphics: Estimation of Global Illumination using Cycle-Consistent Adversarial Networks.- Anisotropic Point Synthesis by Example.- 3D Fluid Shape Control by Direct Manipulation.- An Epithelium-Inspired Deformation Modeling Framework for 4D Sheets.- Hybrid Voxel Formats for Effcient Ray Tracing. Video Analysis and Event Recognition: PIEPredict++: An Improved Pedestrian Intention Estimation Model Incorporating Comprehensive Environment Information.- Infant Video Interaction Recognition using Monocular Depth Estimation.- Real-Time Predictor in Two-Players Fighting Game via Vision Transformer.- Explainable Action-Recognition based Approach for Unsupervised Video Anomaly Detection.- LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition. Motion and Tracking: Pedestrian tracking using ankle-level 2D-LiDAR based on ByteTrack.- Human Pose Estimation-Based ID Assignment Method in the Wild: A Real-Time Approach.- RGB-T-UV Multi-Modal Object Tracking Based on Transformer Network.- Evaluating the Impact of Dehazing Algorithms on Visual Object Tracking Performance.- MEM: Mask Enhancement Model for Video Object Segmentation. Detection and Recognition: Analysis Automation for High Explosive Breakout Symmetry.- CLAP: Concave Linear APproximation for Quadratic Graph Matching.- Generalizing Neural Radiance Fields for Robust 6D Pose Estimation of Unseen Appearances.- Effectiveness of Residual Noise based Methods for Single Image based Morphing Attack Detection: A Comparative Study.- Black Box Adversarial Face Transformation Network. Deep Learning II: Bi-Feature Selection Deep Learning-based Techniques for Speech Emotion Recognition.- ActiveConfusion: A Time-Effcient Approach to the Cold-Start Problem in Active Learning by Incorporating Confusion from Pretext Task.- Removing Adverse Volumetric Effects from Trained Neural Radiance Fields.- Thermal Image Synthesis: Bridging the Gap between Visible and Infrared Spectrum.- Anomaly Detection in Mutual Actions: Unsupervised Classification of Fighting and Non-Fighting Behaviors using Transformer-based Variational Autoencoder.- Visualization: Visualizing Polarization Effects of Gravitational Waves Using Particle Rings and Surfaces in Virtual Reality.- Seeing is Believing: The Role of Scatterplots in Recommender System Trust and Decision-Making.- Interactive Visual Analysis of Camouflaged Objects.- GAIA: A Benchmark of Analyzing User Rankings for Synthesized Images. Medical Image Analysis: Motion and Light Artifact Mitigation for Remote PPG with Noise-Aware Post-Processor Network.- J-Net: A Low-Resolution Lightweight Neural Network for Semantic Segmentation in the Medical field for Embedded Deployment.- Accurate Remote PPG Waveform Recovery from Video Using a Multi-Task Learning Temporal Model.- Effcient Lung Segmentation for Tumour Detection.

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Extraction quantitative et analyse des bioplastiques

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Analizzare l'impatto del campo magnetico e della temperatura sul flusso del fluido

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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

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Analyse the Impact of Magnetic Field and Temperature on Fluid Flow

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Interpretable and Annotation-Efficient Learning for Medical Image Computing

Jaime Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, Jose Pereira Amorim, Vishal Patel, Badri Roysam, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi

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Advances in Visual Computing

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

Produktinformation

Tillhör följande kategorier

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Du kanske också är intresserad av

Advances in Visual Computing

Nachwelt

Virtual Reality and Mixed Reality

Extraction quantitative et analyse des bioplastiques

Analizzare l'impatto del campo magnetico e della temperatura sul flusso del fluido

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

Analyse the Impact of Magnetic Field and Temperature on Fluid Flow

Analyser l'impact du champ magnétique et de la température sur l'écoulement des fluides

Interpretable and Annotation-Efficient Learning for Medical Image Computing

Numerical Solution of MHD Fluid Flow Problems

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