top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXII, 483 p. 198 illus., 133 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer vision
Numerical analysis
Data mining
Computer science—Mathematics
Algorithms
Artificial Intelligence
Computer Vision
Numerical Analysis
Data Mining and Knowledge Discovery
Mathematical Applications in Computer Science
ISBN 3-030-22796-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware.
Record Nr. UNISA-996465591503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 615 p. 322 illus., 201 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer vision
Numerical analysis
Data mining
Computer science—Mathematics
Algorithms
Artificial Intelligence
Computer Vision
Numerical Analysis
Data Mining and Knowledge Discovery
Mathematical Applications in Computer Science
ISBN 3-030-22808-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware.
Record Nr. UNISA-996465590403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks – ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Advances in Neural Networks – ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 615 p. 322 illus., 201 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer vision
Numerical analysis
Data mining
Computer science—Mathematics
Algorithms
Artificial Intelligence
Computer Vision
Numerical Analysis
Data Mining and Knowledge Discovery
Mathematical Applications in Computer Science
ISBN 3-030-22808-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware.
Record Nr. UNINA-9910337852503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Neural Networks – ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Advances in Neural Networks – ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXII, 483 p. 198 illus., 133 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer vision
Numerical analysis
Data mining
Computer science—Mathematics
Algorithms
Artificial Intelligence
Computer Vision
Numerical Analysis
Data Mining and Knowledge Discovery
Mathematical Applications in Computer Science
ISBN 3-030-22796-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware.
Record Nr. UNINA-9910337852703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Image and Graphics [[electronic resource] ] : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part I / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Image and Graphics [[electronic resource] ] : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part I / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (456 pages)
Disciplina 006.6
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Artificial intelligence
Pattern recognition systems
Computer engineering
Computer networks
Computer Vision
Artificial Intelligence
Automated Pattern Recognition
Computer Engineering and Networks
ISBN 3-031-46305-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computer Vision and Pattern Recognition: Attention-based Global-Local Graph Learning for Dynamic Facial Expression Recognition -- Implicit Representation for Interacting Hands Reconstruction from Monocular Color Images -- HQFS: High-quality Feature Selection for Accurate Change Detection -- FAFormer: Foggy Scene Semantic Segmentation by Fog-invariant Auxiliary Domain adaptation -- Video-based Person Re-identification With Long Short-Term Representation Learning -- Multi-semantic fusion model for generalized zero-shot skeleton-based action recognition -- Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation -- SECT: Sentiment-Enriched Continual Training for Image Sentiment Analysis -- Learn to Enhance the Negative Information in Convolutional Neural Network -- Task-Agnostic Generalized Meta-Learning based on MAML for Few-shot Bearing Fault Diagnosis -- Weakly Supervised Image Matting via Patch Clustering -- Attention-guided Motion Estimation for Video Compression -- Cloud Detection from Remote Sensing Images by Cascaded U-shape Attention Networks -- Ar3dHands: A Dataset and Baseline for Real-time 3D Hand Pose Estimation from Binocular Distorted Images -- TANet: Adversarial Network via Tokens Transformer for Universal Domain Adaptation -- GLM: A Model Based on Global-Local Joint Learning for Emotion Recognition from Gaits using Dual-Stream Network -- HuMoMM: A Multi-Modal Dataset and Benchmark for Human Motion Analysis -- Enhanced Frequency Information for Image Dehazing -- Energy-Efficient Robotic Arm Control Based on Differentiable Spiking Neural Networks -- Uncover the Body: Occluded Person Re-identification via Masked Image Modeling -- Enhancing Adversarial Transferability From the Perspective of Input Loss Landscape -- Local-Fusion Diffusion Model for Enhancing Few-Shot Image Generation -- Table Structure Recognition of Historical Dongba Documents -- LE2Fusion: A novel local edge enhancement module for infrared and visible image fusion -- Complex Glyph Enhancement for License Plate Generation -- High Fidelity Virtual Try-On via Dual Branch Bottleneck Transformer -- A Road Damage Segmentation Method for Complex Environment Based on Improved UNet -- Structural Reparameterization Network on Point Cloud Semantic Segmentation -- Physical Key Point Detection Algorithm based on Multi-Scale Feature Fusion -- Skeleton Based Dynamic Hand Gesture Recognition using Short Term Sampling Neural Networks (STSNN) -- Face Anti-spoofing Based on Client Identity Information and Depth Map -- Attention-based RGBD Fusenet for Monocular 3D Body Geometry and Pose Reconstruction -- Distortion-Aware Mutual Constraint for Screen Content Image Quality Assessment -- Visual Realism Assessment for Face-swap Videos -- 360° Omnidirectional Salient Object Detection with Multi-scale Interaction and Densely-connected Prediction.
Record Nr. UNISA-996558464903316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Image and Graphics [[electronic resource] ] : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part IV / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Image and Graphics [[electronic resource] ] : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part IV / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (441 pages)
Disciplina 006.6
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Artificial intelligence
Pattern recognition systems
Computer engineering
Computer networks
Computer Vision
Artificial Intelligence
Automated Pattern Recognition
Computer Engineering and Networks
ISBN 3-031-46314-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial intelligence: Deep Discriminative Hashing for Cross-modal Hashing based Computer-aided Diagnosis -- Image Super-Resolution via Deep Dictionary Learning -- ACLM: Adaptive Compensatory Label Mining for Facial Expression Recognition -- Semantic-Guided Multi-Feature Fusion for Accurate Video Captioning -- Scale-Adaptive Multi-Area Representation for Instance Segmentation -- Multi-Level Semantic Extraction using Graph Pooling Network for Text Representation -- Research on Strategies for Tripeaks variant with various layouts -- A neural network model with the ringed residual block and attention mechanism for image forgery localization -- ACMA-GAN: Adaptive Cross-Modal Attention for Text-to-Image Generation -- Registration-propagated Liver Tumor Segmentation for Non-enhanced CT-based Interventions -- FML-MIS: A Scheme of Privacy Protection and Model Generalization for Medical Images Segmentation via Federated Meta-learning -- RoICLIP: Text-Enhanced UAV-based Video Object Detection -- Class Incremental Learning with Important and Diverse Memory -- Core Issues and Key Arguments of ChatGPT: Topic Mining and Sentiment Analysis Based on U.S. News Reports -- Joint Memory Propagation and Rectification for Video Object Segmentation -- A noval intelligent assessment based on audio-visual data for Chinese zither fingerings -- A Full-level Based Network to Detect Every Aircraft in Airport Scene -- Fusing Multi-scale Residual Network for Skeleton Detection -- LogoNet: a fine-grained network for instance-level logo sketch retrieval -- NCCNet: Arbitrary Neural Style Transfer with Multi-Channel Conversion -- BRMR : TAL Based on Boundary Refinement and Multi-scale Regression -- AE-Reorient: Active Exploration based Reorientation for Robotic Pick-and-Place -- A novel contactless prediction algorithm of indoor thermal comfort based on posture estimation -- A real-time wind turbine blade damage detection method based on an improved YOLOv5 algorithm -- Intensify Perception Transformer Generative Adversarial Network for Image Super-Resolution -- Referring Expression Comprehension Based on Cross Modal Feature Fusion and Iterative Reasoning -- ADS-B-based Spatial-Temporal multi-scale object detection network for airport scenes -- Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification -- Learning to Fuse Residual and Conditional Information for Video Compression and Reconstruction -- A two-stage 3D object detection algorithm based on deep learning -- Dual Temporal Memory Network for Video Salient Object Detection -- Cross-Modality Fused Graph Convolutional Network for Image-Text Sentiment Analysis -- Local and Global Feature Interaction Network for Endoscope Image classification.
Record Nr. UNISA-996558465103316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Image and Graphics [[electronic resource] ] : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part II / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Image and Graphics [[electronic resource] ] : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part II / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (451 pages)
Disciplina 006.6
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Artificial intelligence
Pattern recognition systems
Computer engineering
Computer networks
Computer Vision
Artificial Intelligence
Automated Pattern Recognition
Computer Engineering and Networks
ISBN 3-031-46308-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computer Vision and Pattern Recognition: Temporal Global Re-Detection Based on Interaction-Fusion Attention in Long-Term Visual Tracking -- VLNet: A Multi-task Network for Joint Vehicle and Lane Detection -- Adaptive Cost Aggregation in Iterative Depth Estimation for Efficient Multi-View Stereo -- A Novel Semantic Segmentation Method for High-Resolution Remote Sensing Images Based on Visual Attention Network -- Efficient Few-shot Image Generation via Lightweight Octave Generative Adversarial Networks -- Incorporating Global Correlation and Local Aggregation for Efficient Visual Localization -- Deep Interactive Image Semantic and Instance Segmentation -- Learning High-Performance Spiking Neural Networks With Multi-Compartment Spiking Neurons -- Attribute Space Analysis for Image Editing.-SAGAN: Self-Attention Generative Adversarial Net-work for RGB-D Saliency Prediction -- Behavioural State Detection Algorithm for Infants and Toddlers Incorporating Multi-scale Contextual Features -- Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark -- Dual Fusion Network for Hyperspectral Semantic Segmentation -- Strip-FFT Transformer for single image deblurring -- Vision-Language Adaptive Mutual Decoder for OOV-STR -- DensityLayout: Density-conditioned Layout GAN for Visual-textual Presentation Designs -- GLTCM: Global-Local Temporal and Cross-Modal Network for Audio-Visual Event Localization -- Recent Advances in Class-Incremental Learning -- TTA-GCN: Temporal Topology Aggregation for Skeleton-Based Action Recognition -- A Stable Long-Term Tracking Method For Group-Housed Pigs -- Dynamic Attention for Isolated Sign Language Recognition with Reinforcement Learning -- A Segmentation Method based on SE Attention and U-Net for Apple Image -- Human Action Recognition Method based on spatio-temporal relationship -- Facial expression recognition from occluded images using deep convolution neural network with Vision Transformer -- Learning Discriminative Proposal Representation for Multi-Object Tracking -- Virtual-Violence: A Brand-New Dataset for Video Violence Recognition -- A novel Attention-DeblurGAN-Based Defogging Algorithm -- Multi-Modal Context-Aware Network for Scene Graph Generation -- VQA-CLPR: Turning a Visual Question Answering Model into a Chinese License Plate Recognizer -- Unsupervised Vehicle Re-Identification via Raw UAV Videos -- Distance-Aware Vector-Field and Vector Screening Strategy for 6D Object Pose Estimation -- SSTA-Net: Self-supervised Spatio-Temporal Attention Network for Action Recognition -- Gesture recognition method based on Sim-ConvNeXt model -- Research on Airborne Infrared Target Recognition Method based on Target-Environment Coupling -- Semantic and Gradient Guided Scene Text Image Super-Resolution.
Record Nr. UNISA-996558464503316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Image and Graphics [[electronic resource] ] : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part V / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Image and Graphics [[electronic resource] ] : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part V / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (384 pages)
Disciplina 006.6
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Artificial intelligence
Computer engineering
Computer networks
Pattern recognition systems
Computer Vision
Artificial Intelligence
Computer Engineering and Networks
Automated Pattern Recognition
ISBN 3-031-46317-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Biological and Medical Image Processing: An efficient medical image fusion via online convolutional sparse coding with sample-dependent dictionary -- Multimodal Medical Image Fusion based on Multichannel Aggregated Network -- Multi-Path Feature Fusion and Channel Feature Pyramid for Brain Tumor Segmentation in MRI -- Near infrared video heart rate detection based on multi-region selection and robust principal component analysis- Neural video: A novel framework for interpreting the spatiotemporal activities of the human brain -- Local Fusion Synthetic CT Network for Improving the Quality of CBCT in Cervical Cancer Radiotherapy -- Causality-Inspired Source-Free Domain Adaptation for Medical Image Classification -- Pixel-Correlation-Based Scar Screening in Hypertrophic Myocardium -- Dictionary Matching Based 2D Thin Slice Generalized Slice-dithered Enhanced Resolution (gSlider) Variable Flip Angle T1 Mapping -- Deep Low-rank Multimodal Fusion with Inter-modal Distribution Difference Constraint for ASD Diagnosis -- Cross-domain Tongue Image Segmentation based on Deep Adversarial Networks and Entropy Minimization -- Residual Inter-slice Feature Learning for 3D Organ Segmentation -- Color and Multispectral Processing: A Cross-paired Wavelet Based Spatiotemporal Fusion Network for Remote Sensing Images -- Coupled Dense Convolutional Neural Networks with Autoencoder For Unsupervised Hyperspectral Super Resolution -- Computational Imaging: Multi-scale Non-Local Bidirectional Fusion for Video Super-Resolution -- Multi-View and Stereoscopic Processing: Learning a Deep Fourier Channel Attention Generative Adversarial Network for Light Field Image Super-Resolution -- Synthesizing a large scene with multiple NeRFs -- Neural Implicit 3D Shapes from Single Images with Spatial Patterns -- Multimedia Security: Dense Visible Watermark Removal with Progressive Feature Propagation -- When Diffusion Model Meets with Adversarial Attack: Generating Transferable Adversarial Examples on Face Recognition -- TPM: Two-stage prediction mechanism for universal adversarial patch defense -- Surveillance and remote sensing: WSAD-Net: Weakly Supervised Anomaly Detection in Untrimmed Surveillance Videos -- Multi-object Tracking in Remote Sensing Video Based on Motion and Multi-scale Local Cost Volume -- Density Map Augmentation-based Point-to-point Vehicle Counting and Localization in Remote Sensing Imagery with Limited Resolution -- Large Window Attention based Transformer Network for Change Detection of Remote Sensing Images -- U-TEN:An Unsupervised Two-branch Enhancement Network for Object Detection under Complex-Light Condition -- Virtual Reality: Design of virtual assembly guidance system based on mixed reality -- Blind Omnidirectional Image Quality Assessment Based on Swin Transformer with Scanpath-Oriented -- Audio-visual Saliency for Omnidirectional Videos.
Record Nr. UNISA-996558465003316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Image and Graphics : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part V / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Image and Graphics : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part V / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (384 pages)
Disciplina 006.6
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Artificial intelligence
Computer engineering
Computer networks
Pattern recognition systems
Computer Vision
Artificial Intelligence
Computer Engineering and Networks
Automated Pattern Recognition
ISBN 3-031-46317-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Biological and Medical Image Processing: An efficient medical image fusion via online convolutional sparse coding with sample-dependent dictionary -- Multimodal Medical Image Fusion based on Multichannel Aggregated Network -- Multi-Path Feature Fusion and Channel Feature Pyramid for Brain Tumor Segmentation in MRI -- Near infrared video heart rate detection based on multi-region selection and robust principal component analysis- Neural video: A novel framework for interpreting the spatiotemporal activities of the human brain -- Local Fusion Synthetic CT Network for Improving the Quality of CBCT in Cervical Cancer Radiotherapy -- Causality-Inspired Source-Free Domain Adaptation for Medical Image Classification -- Pixel-Correlation-Based Scar Screening in Hypertrophic Myocardium -- Dictionary Matching Based 2D Thin Slice Generalized Slice-dithered Enhanced Resolution (gSlider) Variable Flip Angle T1 Mapping -- Deep Low-rank Multimodal Fusion with Inter-modal Distribution Difference Constraint for ASD Diagnosis -- Cross-domain Tongue Image Segmentation based on Deep Adversarial Networks and Entropy Minimization -- Residual Inter-slice Feature Learning for 3D Organ Segmentation -- Color and Multispectral Processing: A Cross-paired Wavelet Based Spatiotemporal Fusion Network for Remote Sensing Images -- Coupled Dense Convolutional Neural Networks with Autoencoder For Unsupervised Hyperspectral Super Resolution -- Computational Imaging: Multi-scale Non-Local Bidirectional Fusion for Video Super-Resolution -- Multi-View and Stereoscopic Processing: Learning a Deep Fourier Channel Attention Generative Adversarial Network for Light Field Image Super-Resolution -- Synthesizing a large scene with multiple NeRFs -- Neural Implicit 3D Shapes from Single Images with Spatial Patterns -- Multimedia Security: Dense Visible Watermark Removal with Progressive Feature Propagation -- When Diffusion Model Meets with Adversarial Attack: Generating Transferable Adversarial Examples on Face Recognition -- TPM: Two-stage prediction mechanism for universal adversarial patch defense -- Surveillance and remote sensing: WSAD-Net: Weakly Supervised Anomaly Detection in Untrimmed Surveillance Videos -- Multi-object Tracking in Remote Sensing Video Based on Motion and Multi-scale Local Cost Volume -- Density Map Augmentation-based Point-to-point Vehicle Counting and Localization in Remote Sensing Imagery with Limited Resolution -- Large Window Attention based Transformer Network for Change Detection of Remote Sensing Images -- U-TEN:An Unsupervised Two-branch Enhancement Network for Object Detection under Complex-Light Condition -- Virtual Reality: Design of virtual assembly guidance system based on mixed reality -- Blind Omnidirectional Image Quality Assessment Based on Swin Transformer with Scanpath-Oriented -- Audio-visual Saliency for Omnidirectional Videos.
Record Nr. UNINA-9910755084703321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Image and Graphics : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part I / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Image and Graphics : 12th International Conference, ICIG 2023, Nanjing, China, September 22–24, 2023, Proceedings, Part I / / edited by Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (456 pages)
Disciplina 006.6
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Artificial intelligence
Pattern recognition systems
Computer engineering
Computer networks
Computer Vision
Artificial Intelligence
Automated Pattern Recognition
Computer Engineering and Networks
ISBN 3-031-46305-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computer Vision and Pattern Recognition: Attention-based Global-Local Graph Learning for Dynamic Facial Expression Recognition -- Implicit Representation for Interacting Hands Reconstruction from Monocular Color Images -- HQFS: High-quality Feature Selection for Accurate Change Detection -- FAFormer: Foggy Scene Semantic Segmentation by Fog-invariant Auxiliary Domain adaptation -- Video-based Person Re-identification With Long Short-Term Representation Learning -- Multi-semantic fusion model for generalized zero-shot skeleton-based action recognition -- Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation -- SECT: Sentiment-Enriched Continual Training for Image Sentiment Analysis -- Learn to Enhance the Negative Information in Convolutional Neural Network -- Task-Agnostic Generalized Meta-Learning based on MAML for Few-shot Bearing Fault Diagnosis -- Weakly Supervised Image Matting via Patch Clustering -- Attention-guided Motion Estimation for Video Compression -- Cloud Detection from Remote Sensing Images by Cascaded U-shape Attention Networks -- Ar3dHands: A Dataset and Baseline for Real-time 3D Hand Pose Estimation from Binocular Distorted Images -- TANet: Adversarial Network via Tokens Transformer for Universal Domain Adaptation -- GLM: A Model Based on Global-Local Joint Learning for Emotion Recognition from Gaits using Dual-Stream Network -- HuMoMM: A Multi-Modal Dataset and Benchmark for Human Motion Analysis -- Enhanced Frequency Information for Image Dehazing -- Energy-Efficient Robotic Arm Control Based on Differentiable Spiking Neural Networks -- Uncover the Body: Occluded Person Re-identification via Masked Image Modeling -- Enhancing Adversarial Transferability From the Perspective of Input Loss Landscape -- Local-Fusion Diffusion Model for Enhancing Few-Shot Image Generation -- Table Structure Recognition of Historical Dongba Documents -- LE2Fusion: A novel local edge enhancement module for infrared and visible image fusion -- Complex Glyph Enhancement for License Plate Generation -- High Fidelity Virtual Try-On via Dual Branch Bottleneck Transformer -- A Road Damage Segmentation Method for Complex Environment Based on Improved UNet -- Structural Reparameterization Network on Point Cloud Semantic Segmentation -- Physical Key Point Detection Algorithm based on Multi-Scale Feature Fusion -- Skeleton Based Dynamic Hand Gesture Recognition using Short Term Sampling Neural Networks (STSNN) -- Face Anti-spoofing Based on Client Identity Information and Depth Map -- Attention-based RGBD Fusenet for Monocular 3D Body Geometry and Pose Reconstruction -- Distortion-Aware Mutual Constraint for Screen Content Image Quality Assessment -- Visual Realism Assessment for Face-swap Videos -- 360° Omnidirectional Salient Object Detection with Multi-scale Interaction and Densely-connected Prediction.
Record Nr. UNINA-9910755077803321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui