Advances in Visual Computing : 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part I / / edited by George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas
| Advances in Visual Computing : 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part I / / edited by George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas |
| Autore | Bebis George |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (769 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
PatelVishal
GuJinwei PanettaJulian GingoldYotam JohnsenKyle ArefinMohammed Safayet DuttaSoumya BiswasAyan |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Social sciences - Data processing Computer networks Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Application in Social and Behavioral Sciences Computer Communication Networks |
| ISBN | 9783031773921 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910983380003321 |
Bebis George
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Visual Computing : 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part II / / edited by George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas
| Advances in Visual Computing : 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part II / / edited by George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas |
| Autore | Bebis George |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (633 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
PatelVishal
GuJinwei PanettaJulian GingoldYotam JohnsenKyle ArefinMohammed Safayet DuttaSoumya BiswasAyan |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Social sciences - Data processing Computer networks Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Application in Social and Behavioral Sciences Computer Communication Networks |
| ISBN | 9783031773891 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910983354503321 |
Bebis George
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Visual Computing : 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part II / / edited by George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas
| Advances in Visual Computing : 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part II / / edited by George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas |
| Autore | Bebis George |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (633 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
PatelVishal
GuJinwei PanettaJulian GingoldYotam JohnsenKyle ArefinMohammed Safayet DuttaSoumya BiswasAyan |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Social sciences - Data processing Computer networks Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Application in Social and Behavioral Sciences Computer Communication Networks |
| ISBN | 9783031773891 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996641270603316 |
Bebis George
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Visual Computing : 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part I / / edited by George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas
| Advances in Visual Computing : 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part I / / edited by George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas |
| Autore | Bebis George |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (769 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
PatelVishal
GuJinwei PanettaJulian GingoldYotam JohnsenKyle ArefinMohammed Safayet DuttaSoumya BiswasAyan |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Social sciences - Data processing Computer networks Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Application in Social and Behavioral Sciences Computer Communication Networks |
| ISBN | 9783031773921 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996641268703316 |
Bebis George
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||