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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 | ||
| Materiale a stampa | ||
| 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 | ||
| Materiale a stampa | ||
| 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 | ||
| Materiale a stampa | ||
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Visual Computing : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16-18, 2023, Proceedings, Part I
| Advances in Visual Computing : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16-18, 2023, Proceedings, Part I |
| Autore | Bebis George |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (630 pages) |
| Altri autori (Persone) |
GhiasiGolnaz
FangYi SharfAndrei DongYue WeaverChris LeoZhicheng LaViola JrJoseph J KohliLuv |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-47969-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Keynote Talks -- Machine Learning for Scientific Data Analysis and Visualization -- Estimating the Structure and Motion of Biomolecules at Atomic Resolutions -- Curriculum Learning and Active Learning, for Visual Object Recognition when Data is Scarce -- Have We Solved Image Correspondences? -- Visual Content Manipulation by Learning Generative Models -- Lights, Camera, Animation! Adaptive Simulation Methods for Training and Entertainment -- Beyond the Specs: A Computational and Human-Centered Approach to Wearability in AR/VR -- Contents - Part I -- Contents - Part II -- ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management -- Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images -- 1 Introduction -- 2 Related Work -- 2.1 Mass Segmentation on Whole Mammograms -- 2.2 Loss for Medical Image Segmentation -- 3 Methodology -- 3.1 Hybrid Pixel-Level Loss -- 3.2 Hybrid Region-Level Loss -- 3.3 Density-Adaptive Sample-Level Prioritizing Loss -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Evaluation Metrics -- 4.3 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Deep Learning Based GABA Edited-MRS Signal Reconstruction -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 J-Difference Spectrum -- 2.3 Dual Branch Self-Attention Neural Network -- 2.4 Evaluation Metrics -- 3 Results and Discussion -- 4 Conclusion -- References -- Investigating the Impact of Attention on Mammogram Classification -- 1 Introduction -- 2 Data and Methods -- 2.1 Data Selection and Preprocessing -- 2.2 Selection of Models -- 2.3 Selection of Attention Methods -- 2.4 Training and Testing Process -- 3 Results and Discussion -- 3.1 Impact of Attention on CNN Performance -- 3.2 Impact of Model Architecture on Performance Differences.
3.3 Impact of Attention on Resolution -- 3.4 Impact of Attention on Abnormality Type -- 3.5 Relationship Between Model Activation and AU-ROC -- 4 Conclusions -- References -- ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images -- 1 Introduction -- 2 Our ReFit Framework -- 2.1 Unsupervised Segment Detection -- 2.2 Class Activation Map - CAM -- 2.3 The BoundaryFit Module -- 3 Results and Discussion -- 3.1 Ablation Studies -- 4 Conclusion -- References -- A Data-Centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images -- 1 Introduction -- 2 Related Work -- 3 Mammography Segmentation -- 3.1 Dataset -- 3.2 Model Training -- 3.3 Drawbacks -- 4 Data-Centric Model Optimization -- 4.1 Stage I: Annotation Correction -- 4.2 Stage II: Downsampling -- 5 Results -- 5.1 Evaluation Metrics -- 5.2 Evaluated Training Datasets -- 5.3 Intersection over Union Evaluation -- 5.4 Classification Metrics for Pectoral Muscle Detection in CC View -- 6 Conclusion -- References -- Visualization -- Visualizing Multimodal Time Series at Scale -- 1 Introduction -- 2 Related Work -- 3 Overview Scenario -- 4 Detail Methods and Implementation -- 4.1 Time Series Dataset -- 4.2 Exploiting Elasticsearch for Fast Search and Big Query -- 4.3 Visualizing Time Series -- 5 Exploring UMAFall Dataset with TimeXplore -- 6 Conclusions and Future Work -- References -- Hybrid Tree Visualizations for Analysis of Gerrymandering -- 1 Introduction -- 2 Related Work -- 3 Gerrymandering -- 4 Data Model in Gerrymandering -- 5 Visual Design -- 6 Analysis Examples -- 6.1 Evaluating the Efficiency Gap -- 6.2 Assessing Electoral Competition -- 7 Conclusion -- References -- ArcheryVis: A Tool for Analyzing and Visualizing Archery Performance Data -- 1 Introduction -- 2 Related Work. 2.1 Archery Performance Analysis -- 2.2 Archery Scoring Apps -- 3 Data Collection, Processing, and Analysis -- 3.1 Data Collection -- 3.2 Ring and Center Detection -- 3.3 Shot Detection and Calibration -- 3.4 Scoring and Statistical Measures -- 4 Visual Interface and Interaction -- 5 Results and Discussion -- 5.1 Brushing and Filtering -- 5.2 Trainee Comparison -- 5.3 Statistical Measure as Performance Indicator -- 5.4 Empirical Evaluation -- 5.5 Limitations -- 6 Conclusions and Future Work -- References -- Spiro: Order-Preserving Visualization in High Performance Computing Monitoring -- 1 Introduction -- 2 Related Work -- 2.1 Spiral Layout in Visualization -- 2.2 Monitoring with Spiral Layout -- 3 Monitoring Tasks -- 4 Spiro Design -- 4.1 Design Rationales -- 4.2 Visual Encoding -- 5 Case Studies -- 5.1 Clustering on Compute Servers -- 5.2 Exploring Usage Behavior -- 6 Conclusion and Future Work -- References -- From Faces to Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans -- 1 Introduction -- 2 Related Work -- 3 Data Acquisition -- 4 Methods -- 4.1 3D Landmark Extraction for Facial Palsy Patients -- 4.2 Radial Curves -- 4.3 Lateral Face Mesh Generation -- 4.4 Volume Estimation for Lateral Face Sides -- 4.5 Volumetric Difference Visualization -- 5 Volume Analysis During Dynamic Movements -- 6 Conclusions and Future Work -- References -- Video Analysis and Event Recognition -- Comparison of Autoencoder Models for Unsupervised Representation Learning of Skeleton Sequences -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Proposed Methods -- 4 Experiments -- 4.1 Datasets -- 4.2 Results Analysis and Comparisons -- 5 Conclusion and Future Works -- References -- Local and Global Context Reasoning for Spatio-Temporal Action Localization -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Overall Pipeline. 3.2 Near-Actor Relation Network -- 4 Experiments on JHMDB21 -- 4.1 Implementation Details -- 4.2 Comparison on JHMDB21 -- 4.3 Ablation Study -- 4.4 Qualitative Results -- 5 Experiments on AVA -- 5.1 Implementation Details -- 5.2 Comparison on AVA -- 6 Conclusion -- References -- Zero-Shot Video Moment Retrieval Using BLIP-Based Models -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Computing Image and Text Embeddings -- 3.2 Sparse Frame-Sampling Strategies -- 3.3 Moment-Query Matching -- 4 Experiments -- 5 Results and Discussion -- 6 Conclusions and Future Work -- References -- Self-supervised Representation Learning for Fine Grained Human Hand Action Recognition in Industrial Assembly Lines -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Model Architecture -- 3.2 Masking Method -- 4 Experiments -- 4.1 Datasets -- 4.2 Model Training Environment -- 4.3 Self-supervised Pretraining and Downstream Task -- 5 Results and Analysis -- 5.1 Results Self-supervised Learning -- 5.2 Results Downstream Task -- 5.3 Analysis -- 6 Conclusion and Outlook -- References -- ST: Innovations in Computer Vision & -- Machine Learning for Critical & -- Civil Infrastructures -- Pretext Tasks in Bridge Defect Segmentation Within a ViT-Adapter Framework -- 1 Introduction -- 2 Methods -- 2.1 ViT-Adapter Model -- 2.2 Datasets -- 2.3 Supervised Learning (SL) Pre-training -- 2.4 Self- And Semi-Supervised Learning (SSL) Pre-training -- 2.5 Training Parameters -- 3 Results and Discussion -- 4 Conclusion -- References -- A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation -- 1 Introduction -- 1.1 Current Limitations and Our Contribution -- 2 Proposed Architecture -- 2.1 R2AU-Net Architecture for Road Crack Segmentation -- 2.2 Few-Shot Learning for Segmentation Refinement -- 3 Experimental Setup and Results -- 3.1 Dataset Description. 3.2 Comparative Algorithms and Training Configuration -- 3.3 Experiments and Comparisons -- 4 Conclusions -- References -- Efficient Resource Provisioning in Critical Infrastructures Based on Multi-Agent Rollout Enabled by Deep Q-Learning -- 1 Introduction -- 2 Related Work -- 3 Workload Management in Critical Infrastructures -- 3.1 Infrastructure Model -- 3.2 Problem Formulation -- 3.3 Deterministic Markov Decision Process Model -- 3.4 Multi-Agent Rollout Enabled by Deep Q-Learning -- 4 Simulation Experiments -- 4.1 Experimental Setup -- 4.2 Evaluation Results -- 5 Conclusions -- References -- Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformer -- 1 Introduction -- 1.1 Attention-LSTM -- 2 Related Work -- 3 Proposed Method -- 3.1 Model Architecture -- 3.2 Attention-LSTM Layer -- 3.3 Model Variations -- 4 Invasive Species Dataset -- 5 Empirical Evaluation -- 6 Conclusion -- References -- ST: Generalization in Visual Machine Learning -- Latent Space Navigation for Face Privacy: A Case Study on the MNIST Dataset -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experimental Result -- 5 Future Work -- 6 Conclusion -- References -- Domain Generalization for Foreground Segmentation Using Federated Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Model Architecture -- 3.2 Training Technique -- 4 Experiments -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Traditional Foreground Segmentation Experiment -- 4.4 Domain Generalization Experiment -- 4.5 Few-Shot Experiment -- 5 Conclusion and Future Work -- References -- Probabilistic Local Equivalence Certification for Robustness Evaluation -- 1 Introduction -- 2 Related Work -- 3 Probabilistic Local Equivalence Certification -- 3.1 Probabilistic Local Equivalence Certification -- 3.2 When Labels are Available. 3.3 The Case of Classification. |
| Record Nr. | UNISA-996565867203316 |
|
Bebis George
|
||
| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Visual Computing [[electronic resource] ] : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part II / / edited by George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris Weaver, Zhicheng Leo, Joseph J. LaViola Jr., Luv Kohli
| Advances in Visual Computing [[electronic resource] ] : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part II / / edited by George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris Weaver, Zhicheng Leo, Joseph J. LaViola Jr., Luv Kohli |
| Autore | Bebis George |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (506 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
GhiasiGolnaz
FangYi SharfAndrei DongYue WeaverChris LeoZhicheng LaViola JrJoseph J KohliLuv |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-47966-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Virtual Reality -- A Pilot Study Comparing User Interactions Between Augmented and Virtual Reality -- Synthesizing Play-Ready VR Scenes with Natural Language Prompts through GPT API -- Emergent Individual Factors for AR Education and Training -- Segmentation -- ISLE: A Framework for Image Level Semantic Segmentation Ensemble -- Particulate Mapping Centerline Extraction (PMCE), a Novel Centerline Extraction Algorithm Based on Patterns in the Spatial Distribution of Aggregates -- Evaluating Segmentation Approaches on Digitized Herbarium Specimens -- Semantic Scene Filtering for Event Cameras in Long-Term Outdoor Monitoring Scenarios -- SODAWideNet - Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training -- Applications -- Foil-Net: Deep Learning-Based Wave Classification for Hydrofoil Surfing -- Inpainting of Depth Images using Deep Neural Networks for Real-Time Applications -- Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps -- Real-world Image Deblurring via Unsupervised Domain Adaptation -- Object Detection and Recognition -- Reliable Matching by Combining Optimal Color and Intensity Information based on Relationships between Target and Surrounding Objects -- Regularized Meta-Training with Embedding Mixup for Improved Few-Shot Learning -- Visual Foreign Object Detection for Wireless Charging of Electric Vehicles -- Deep Representation Learning for License Plate Recognition in Low Quality Video Images -- Optimizing PnP-Algorithms for Limited Point Correspondences Using Spatial Constraints -- Deep Learning -- Unsupervised Deep-Learning Approach for Underwater Image Enhancement -- LaneNet++ : Uncertainty-aware Lane Detection for Autonomous Vehicle -- Task-driven Compression for Collision Encoding based on Depth Images -- Eigenpatches - Adversarial Patches from Principal Components -- Edge-guided Image Inpainting with Transformer -- Poster -- Bayesian Fusion inspired 3D reconstruction via LiDAR-Stereo Camera Pair -- Marimba Mallet Placement Tracker -- DINO-CXR: A Self Supervised Method Based on Vision Transformer for Chest X-Ray Classification -- Social Bias and Image Tagging: Evaluation of Progress in State-of-the-Art Models -- L-TReiD: Logic Tensor Transformer for Re-Identification -- Retinal Disease Diagnosis with a Hybrid ResNet50-LSTM Deep Learning Model -- Pothole Segmentation and Area Estimation with Deep Neural Networks and Unmanned Aerial Vehicles -- Generation method of robot assembly motion considering physicality gap between humans and robots -- A Self-Supervised Pose Estimation Approach for Construction Machines -- Image Quality Improvement of Surveillance Camera Images by Learning Noise Removal Method Using Noise2Noise -- Automating Kernel Size Selection in MRI Reconstruction via a Transparent and Interpretable Search Approach -- Segmentation and Identification of Mediterranean Plant Species -- Exploiting Generative Adversarial Networks in Joint Sensitivity Encoding for Enhanced MRI Reconstruction -- Multisensory Modeling of Tabular Data for Enhanced Perception and Immersive User Experience -- Coping with Bullying Incidents by the Narrative and Multi-modal Interaction in Virtual Reality. |
| Record Nr. | UNISA-996574260103316 |
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Bebis George
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Visual Computing : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part II / / edited by George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris Weaver, Zhicheng Leo, Joseph J. LaViola Jr., Luv Kohli
| Advances in Visual Computing : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part II / / edited by George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris Weaver, Zhicheng Leo, Joseph J. LaViola Jr., Luv Kohli |
| Autore | Bebis George |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (506 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
GhiasiGolnaz
FangYi SharfAndrei DongYue WeaverChris LeoZhicheng LaViola JrJoseph J KohliLuv |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN |
9783031479663
3031479661 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Virtual Reality -- A Pilot Study Comparing User Interactions Between Augmented and Virtual Reality -- Synthesizing Play-Ready VR Scenes with Natural Language Prompts through GPT API -- Emergent Individual Factors for AR Education and Training -- Segmentation -- ISLE: A Framework for Image Level Semantic Segmentation Ensemble -- Particulate Mapping Centerline Extraction (PMCE), a Novel Centerline Extraction Algorithm Based on Patterns in the Spatial Distribution of Aggregates -- Evaluating Segmentation Approaches on Digitized Herbarium Specimens -- Semantic Scene Filtering for Event Cameras in Long-Term Outdoor Monitoring Scenarios -- SODAWideNet - Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training -- Applications -- Foil-Net: Deep Learning-Based Wave Classification for Hydrofoil Surfing -- Inpainting of Depth Images using Deep Neural Networks for Real-Time Applications -- Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps -- Real-world Image Deblurring via Unsupervised Domain Adaptation -- Object Detection and Recognition -- Reliable Matching by Combining Optimal Color and Intensity Information based on Relationships between Target and Surrounding Objects -- Regularized Meta-Training with Embedding Mixup for Improved Few-Shot Learning -- Visual Foreign Object Detection for Wireless Charging of Electric Vehicles -- Deep Representation Learning for License Plate Recognition in Low Quality Video Images -- Optimizing PnP-Algorithms for Limited Point Correspondences Using Spatial Constraints -- Deep Learning -- Unsupervised Deep-Learning Approach for Underwater Image Enhancement -- LaneNet++ : Uncertainty-aware Lane Detection for Autonomous Vehicle -- Task-driven Compression for Collision Encoding based on Depth Images -- Eigenpatches - Adversarial Patches from Principal Components -- Edge-guided Image Inpainting with Transformer -- Poster -- Bayesian Fusion inspired 3D reconstruction via LiDAR-Stereo Camera Pair -- Marimba Mallet Placement Tracker -- DINO-CXR: A Self Supervised Method Based on Vision Transformer for Chest X-Ray Classification -- Social Bias and Image Tagging: Evaluation of Progress in State-of-the-Art Models -- L-TReiD: Logic Tensor Transformer for Re-Identification -- Retinal Disease Diagnosis with a Hybrid ResNet50-LSTM Deep Learning Model -- Pothole Segmentation and Area Estimation with Deep Neural Networks and Unmanned Aerial Vehicles -- Generation method of robot assembly motion considering physicality gap between humans and robots -- A Self-Supervised Pose Estimation Approach for Construction Machines -- Image Quality Improvement of Surveillance Camera Images by Learning Noise Removal Method Using Noise2Noise -- Automating Kernel Size Selection in MRI Reconstruction via a Transparent and Interpretable Search Approach -- Segmentation and Identification of Mediterranean Plant Species -- Exploiting Generative Adversarial Networks in Joint Sensitivity Encoding for Enhanced MRI Reconstruction -- Multisensory Modeling of Tabular Data for Enhanced Perception and Immersive User Experience -- Coping with Bullying Incidents by the Narrative and Multi-modal Interaction in Virtual Reality. |
| Record Nr. | UNINA-9910767583103321 |
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Bebis George
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Visual Computing : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part I / / edited by George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris Weaver, Zhicheng Leo, Joseph J. LaViola Jr., Luv Kohli
| Advances in Visual Computing : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part I / / edited by George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris Weaver, Zhicheng Leo, Joseph J. LaViola Jr., Luv Kohli |
| Autore | Bebis George |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (630 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
GhiasiGolnaz
FangYi SharfAndrei DongYue WeaverChris LeoZhicheng LaViola JrJoseph J KohliLuv |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Education - Data processing Computer Imaging, Vision, Pattern Recognition and Graphics Computers and Education |
| ISBN |
9783031479694
3031479696 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management -- Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images -- Deep Learning Based GABA Edited-MRS Signal Reconstruction -- Investigating the Impact of Attention on Mammogram Classification -- ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images -- A Data-centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images -- Visualization -- Visualizing Multimodal Time Series at Scale -- Hybrid Tree Visualizations for Analysis of Gerrymandering -- ArcheryVis: A Tool for Analyzing and Visualizing Archery Performance Data -- Spiro: Order-preserving Visualization in High Performance Computing Monitoring -- From Faces To Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans -- Video Analysis and Event Recognition -- Comparison of Autoencoder Models for Unsupervised Representation Learning of Skeleton Sequences -- Local and Global Context Reasoning for Spatio-Temporal Action Localization -- Zero-Shot Video Moment Retrieval using BLIP-based Models -- Self-Supervised Representation Learning for Fine Grained Human Hand Action Recognition in Industrial Assembly Lines -- ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures -- Pretext Tasks in Bridge Defect Segmentation within a ViT-Adapter Framework -- A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation -- Efficient Resource Provisioning in Critical Infrastructures based on Multi-Agent Rollout enabled by Deep Q-Learning -- Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformer -- ST: Generalization inVisual Machine Learning -- Latent Space Navigation for Face Privacy: A Case Study on the MNIST Dataset -- Domain Generalization for Foreground Segmentation Using Federated Learning -- Probabilistic Local Equivalence Certification for Robustness Evaluation -- Challenges of Depth Estimation for Transparent Objects -- Volumetric Body Composition through Cross-Domain Consistency Training for Unsupervised Domain Adaptation -- Computer Graphics -- Water Animation Using Coupled SPH and Wave Equation -- Neural Rendering into Unity -- Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illumination -- SwarmCurves: Evolutionary Curve Reconstruction -- Medical Image Analysis -- Brain Cortical Surface Registration with Anatomical Atlas Constraints -- When System Model meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging -- 3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem -- An Integrated Shape-Texture Descriptor for Modeling Whole-Organism Phenotypes in Drug Screening -- Enhancing Image Reconstruction via Phase-Constrained Data in an Iterative Process -- Biometrics -- I Got Your Emotion: Emotion Preserving Face De-identification Using Injection-based Generative Adversarial Networks -- DoppelVer: A Benchmark for Face Verification -- Two-stage Face Detection and Anti-spoofing -- Autonomous Anomaly Detection in Images -- Driver Anomaly Detection Using Skeleton Images -- Driver Anomaly Detection Using Skeleton Images -- Latent Diffusion based Multi-class Anomaly Detection -- ST: Artificial Intelligence in Aerial and Orbital Imagery -- Investigating the impact of a low-rank tensor-based approach on deforestation imagery -- Strategic Incorporation of Synthetic Data for Performance Enhancement in Deep Learning A Case Study on Object Tracking Tasks -- Autonomous Navigation Via A Cascading CNN Framework Leveraging Synthetic Terrain Images -- ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture -- Synthetically labeled images for maize plant detection in UAS images -- An open source simulation toolbox for annotation of images and point clouds in agricultural scenarios -- Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms -- Identification of Abnormality in Maize Plants From UAV Images Using Deep Learning Approaches -- Deep Learning for Super Resolution of Sugarcane Crop Line Imagery from Unmanned Aerial Vehicles. . |
| Record Nr. | UNINA-9910767585603321 |
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Bebis George
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications
| Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications |
| Autore | Bebis George |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2003 |
| Descrizione fisica | 1 online resource (133 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Biology
Health & Biological Sciences Biology - General |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the 2003 Association for Computing Machinery Special Interest Group on Multimedia Workshop on Biometrics Methods and Applications
WBMA '03 Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications |
| Record Nr. | UNINA-9910375841303321 |
|
Bebis George
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| [Place of publication not identified], : ACM, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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