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MARC Lista (tabellare)
Computer Vision -- ACCV 2009 [[electronic resource] ] : 9th Asian Conference on Computer Vision, Xi'an, China, September 23-27, 2009, Revised Selected Papers, Part III / / edited by Hongbin Zha, Rin-ichiro Taniguchi, Stephen Maybank
Computer Vision -- ACCV 2009 [[electronic resource] ] : 9th Asian Conference on Computer Vision, Xi'an, China, September 23-27, 2009, Revised Selected Papers, Part III / / edited by Hongbin Zha, Rin-ichiro Taniguchi, Stephen Maybank
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XX, 684 p. 345 illus.)
Disciplina 006.6
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer graphics
Computer programming
Pattern recognition
Optical data processing
Artificial intelligence
Computer Graphics
Programming Techniques
Pattern Recognition
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing and Computer Vision
Artificial Intelligence
ISBN 1-280-38612-6
9786613564047
3-642-12297-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes -- Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes -- Convolutional Virtual Electric Field External Force for Active Contours -- An Effective Segmentation for Noise-Based Image Verification Using Gamma Mixture Models -- Refined Exponential Filter with Applications to Image Restoration and Interpolation -- Color Correction and Compression for Multi-view Video Using H.264 Features -- A Subjective Method for Image Segmentation Evaluation -- Real-Time Object Detection with Adaptive Background Model and Margined Sign Correlation -- A 7-Round Parallel Hardware-Saving Accelerator for Gaussian and DoG Pyramid Construction Part of SIFT -- Weighted Map for Reflectance and Shading Separation Using a Single Image -- Polygonal Light Source Estimation -- Face Relighting Based on Multi-spectral Quotient Image and Illumination Tensorfaces -- Perception-Based Lighting Adjustment of Image Sequences -- Ultrasound Speckle Reduction via Super Resolution and Nonlinear Diffusion -- Background Estimation Based on Device Pixel Structures for Silhouette Extraction -- Local Spatial Co-occurrence for Background Subtraction via Adaptive Binned Kernel Estimation -- Gable Roof Description by Self-Avoiding Polygon -- Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering -- Object Detection with Multiple Motion Models -- An Improved Template Matching Method for Object Detection -- Poster Session 3: Machine Learning, Recognition, Biometrics and Surveillance -- Unfolding a Face: From Singular to Manifold -- Fingerspelling Recognition through Classification of Letter-to-Letter Transitions -- Human Action Recognition Using Non-separable Oriented 3D Dual-Tree Complex Wavelets -- Gender from Body: A Biologically-Inspired Approach with Manifold Learning -- Fingerprint Orientation Field Estimation: Model of Primary Ridge for Global Structure and Model of Secondary Ridge for Correction -- Gait Recognition Using Procrustes Shape Analysis and Shape Context -- Person De-identification in Videos -- A Variant of the Trace Quotient Formulation for Dimensionality Reduction -- Adaptive-Scale Robust Estimator Using Distribution Model Fitting -- A Scalable Algorithm for Learning a Mahalanobis Distance Metric -- Lorentzian Discriminant Projection and Its Applications -- Learning Bundle Manifold by Double Neighborhood Graphs -- Training Support Vector Machines on Large Sets of Image Data -- Learning Logic Rules for Scene Interpretation Based on Markov Logic Networks -- Efficient Classification of Images with Taxonomies -- Adapting SVM Image Classifiers to Changes in Imaging Conditions Using Incremental SVM: An Application to Car Detection -- Incrementally Discovering Object Classes Using Similarity Propagation and Graph Clustering -- Image Classification Using Probability Higher-Order Local Auto-Correlations -- Disparity Estimation in a Layered Image for Reflection Stereo -- Model-Based 3D Object Localization Using Occluding Contours -- A Probabilistic Model for Correspondence Problems Using Random Walks with Restart -- Highly-Automatic MI Based Multiple 2D/3D Image Registration Using Self-initialized Geodesic Feature Correspondences -- Better Correspondence by Registration -- Image Content Based Curve Matching Using HMCD Descriptor -- Skeleton Graph Matching Based on Critical Points Using Path Similarity -- A Statistical-Structural Constraint Model for Cartoon Face Wrinkle Representation and Generation -- Spatially Varying Regularization of Image Sequences Super-Resolution -- Image Search Result Summarization with Informative Priors -- Interactive Super-Resolution through Neighbor Embedding -- Scalable Image Retrieval Based on Feature Forest -- Super-Resolution of Multiple Moving 3D Objects with Pixel-Based Registration -- Human Action Recognition Using Pyramid Vocabulary Tree -- Auto-scaled Incremental Tensor Subspace Learning for Region Based Rate Control Application -- Visual Focus of Attention Recognition in the Ambient Kitchen -- Polymorphous Facial Trait Code -- Face Recognition by Estimating Facial Distinctive Information Distribution -- Robust 3D Face Recognition Based on Rejection and Adaptive Region Selection -- Face Recognition via AAM and Multi-features Fusion on Riemannian Manifolds -- Gender Recognition via Locality Preserving Tensor Analysis on Face Images -- A Chromosome Image Recognition Method Based on Subregions -- Co-occurrence Random Forests for Object Localization and Classification -- Solving Multilabel MRFs Using Incremental ?-Expansion on the GPUs -- Non-rigid Shape Matching Using Geometry and Photometry -- Beyond Pairwise Shape Similarity Analysis -- Globally Optimal Spatio-temporal Reconstruction from Cluttered Videos.
Record Nr. UNISA-996465892403316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Interactive Technologies and Sociotechnical Systems [[electronic resource] ] : 12th International Conference, VSMM 2006, Xi'an, China, October 18-20, 2006, Proceedings / / edited by Hongbin Zha, Zhigeng Pan, Hal Thwaites, Alonzo C. Addison, Maurizio Forte
Interactive Technologies and Sociotechnical Systems [[electronic resource] ] : 12th International Conference, VSMM 2006, Xi'an, China, October 18-20, 2006, Proceedings / / edited by Hongbin Zha, Zhigeng Pan, Hal Thwaites, Alonzo C. Addison, Maurizio Forte
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (XVI, 547 p.)
Disciplina 005.437
4.019
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico User interfaces (Computer systems)
Application software
Multimedia information systems
Artificial intelligence
Computer graphics
User Interfaces and Human Computer Interaction
Information Systems Applications (incl. Internet)
Multimedia Information Systems
Artificial Intelligence
Computer Graphics
Computer Appl. in Arts and Humanities
ISBN 3-540-46305-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Virtual Reality and Computer Graphics -- A Novel Parameter Learning Method of Virtual Garment -- Augmented Reality as Perceptual Reality -- A Multimodal Reference Resolution Approach in Virtual Environment -- SC: Prototypes for Interactive Architecture -- Model-Based Design of Virtual Environment Behavior -- Beh-VR: Modeling Behavior of Dynamic Virtual Reality Contents -- N’Files – A Space to React. Communication Between Architecture and Its Users -- IPML: Extending SMIL for Distributed Multimedia Presentations -- The Use of Multi-sensory Feedback to Improve the Usability of a Virtual Assembly Environment -- GPU-Based Soft Shadow Rendering Using Non-linear Pre-computed Radiance Transfer Approximation -- Predictive Occlusion Culling for Interactive Rendering of Large Complex Virtual Scene -- A Study on Perception and Operation Using Free Form Projection Display -- A Service-Oriented Architecture for Progressive Delivery and Adaptive Rendering of 3D Content -- Vision and Image Technology -- Embedding Image Watermarks into Local Linear Singularity Coefficients in Ridgelet Domain -- Rotated Haar-Like Features for Face Detection with In-Plane Rotation -- Contour Grouping: Focusing on Image Patches Around Edges -- Synthetic Stereoscopic Panoramic Images -- Building a Sparse Kernel Classifier on Riemannian Manifold -- Three-Dimension Maximum Between-Cluster Variance Image Segmentation Method Based on Chaotic Optimization -- A Multi-sensor Image Registration Method Based on Harris Corner Matching -- Graph Based Energy for Active Object Removal -- Object-Based Image Recoloring Using Alpha Matte and Color Histogram Specification -- Reconstructing Symmetric Curved Surfaces from a Single Image and Its Application -- Geometry Processing -- Constructing 3D Surface from Planar Contours with Grid Adjustment Analysis -- Geometric Modeling for Interpolation Surfaces Based on Blended Coordinate System -- Orthogonal Least Square RBF Based Implicit Surface Reconstruction Methods -- An Interpolatory Subdivision Scheme for Triangular Meshes and Progressive Transmission -- Geometric Hermite Curves Based on Different Objective Functions -- Aligning 3D Polygonal Models with Improved PCA -- Collaborative Systems and GIS-Related -- A Crowd Evacuation System in Emergency Situation Based on Dynamics Model -- Come Closer: Encouraging Collaborative Behaviour in a Multimedia Environment -- The Component Based Factory Automation Control in the Internet Environment -- Database, Communication and Creation – A Research on Cultural Heritage-Based Educational Models -- An Adaptive Reliable QoS for Resource Errors Running on Ubiquitous Computing Environments -- Learner’s Tailoring E-Learning System on the Item Revision Difficulty Using PetriNet -- A Time-Controlling Terrain Rendering Algorithm -- Developing and Analyzing Geographical Content Display System by Using RFID -- Digital Heritage and Healthcare -- Determination of Ancient Manufacturing Techniques of Ceramics by 3D Shape Estimation -- CG Restoration of a Historical Noh Stage and Its Use for Edutainment -- Surveying and Mapping Caves by Using 3D Digital Technologies -- On the Use of 3D Scanner for Chinese Opera Documentation -- 3D Data Retrieval of Archaeological Pottery -- Participation as a Model the Canadian Heritage Information Network -- 3D Digital Archive of the Burghers of Calais -- The EPOCH Multimodal Interface for Interacting with Digital Heritage Artefacts -- Virtual Manuscripts for an Enhanced Museum and Web Experience ‘Living Manuscripts’ -- Note-Taking Support for Nurses Using Digital Pen Character Recognition System -- Sensing and Robotics -- Human-Robot Interaction in a Ubiquitous House -- Development and Evaluation of a Hybrid Shared Tele-Haptic System -- Experimental Investigation on Integral Cognition by Multiple Senses -- Object Detection for a Mobile Robot Using Mixed Reality -- A Humanoid Robot to Prevent Children Accidents -- The Arts and Gaming -- Facial Sketch Rendering and Animation for Fun Communications -- Implementation of a Notation-Based Motion Choreography System -- Nomadic Perspectives: Spatial Representation in Oriental Scroll Painting and Holographic Panoramagrams -- Urban-Planning Game -- Virtual Network Marathon: Fitness-Oriented E-Sports in Distributed Virtual Environment -- Creating an Authentic Aural Experience in the Digital Songlines Game Engine: Part of a Contextualised Cultural Heritage Knowledge Toolkit -- 3D Interactive Computer Games as a Pedagogical Tool.
Record Nr. UNISA-996466159103316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Interactive Technologies and Sociotechnical Systems [[electronic resource] ] : 12th International Conference, VSMM 2006, Xi'an, China, October 18-20, 2006, Proceedings / / edited by Hongbin Zha, Zhigeng Pan, Hal Thwaites, Alonzo C. Addison, Maurizio Forte
Interactive Technologies and Sociotechnical Systems [[electronic resource] ] : 12th International Conference, VSMM 2006, Xi'an, China, October 18-20, 2006, Proceedings / / edited by Hongbin Zha, Zhigeng Pan, Hal Thwaites, Alonzo C. Addison, Maurizio Forte
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (XVI, 547 p.)
Disciplina 005.437
4.019
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico User interfaces (Computer systems)
Application software
Multimedia information systems
Artificial intelligence
Computer graphics
User Interfaces and Human Computer Interaction
Information Systems Applications (incl. Internet)
Multimedia Information Systems
Artificial Intelligence
Computer Graphics
Computer Appl. in Arts and Humanities
ISBN 3-540-46305-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Virtual Reality and Computer Graphics -- A Novel Parameter Learning Method of Virtual Garment -- Augmented Reality as Perceptual Reality -- A Multimodal Reference Resolution Approach in Virtual Environment -- SC: Prototypes for Interactive Architecture -- Model-Based Design of Virtual Environment Behavior -- Beh-VR: Modeling Behavior of Dynamic Virtual Reality Contents -- N’Files – A Space to React. Communication Between Architecture and Its Users -- IPML: Extending SMIL for Distributed Multimedia Presentations -- The Use of Multi-sensory Feedback to Improve the Usability of a Virtual Assembly Environment -- GPU-Based Soft Shadow Rendering Using Non-linear Pre-computed Radiance Transfer Approximation -- Predictive Occlusion Culling for Interactive Rendering of Large Complex Virtual Scene -- A Study on Perception and Operation Using Free Form Projection Display -- A Service-Oriented Architecture for Progressive Delivery and Adaptive Rendering of 3D Content -- Vision and Image Technology -- Embedding Image Watermarks into Local Linear Singularity Coefficients in Ridgelet Domain -- Rotated Haar-Like Features for Face Detection with In-Plane Rotation -- Contour Grouping: Focusing on Image Patches Around Edges -- Synthetic Stereoscopic Panoramic Images -- Building a Sparse Kernel Classifier on Riemannian Manifold -- Three-Dimension Maximum Between-Cluster Variance Image Segmentation Method Based on Chaotic Optimization -- A Multi-sensor Image Registration Method Based on Harris Corner Matching -- Graph Based Energy for Active Object Removal -- Object-Based Image Recoloring Using Alpha Matte and Color Histogram Specification -- Reconstructing Symmetric Curved Surfaces from a Single Image and Its Application -- Geometry Processing -- Constructing 3D Surface from Planar Contours with Grid Adjustment Analysis -- Geometric Modeling for Interpolation Surfaces Based on Blended Coordinate System -- Orthogonal Least Square RBF Based Implicit Surface Reconstruction Methods -- An Interpolatory Subdivision Scheme for Triangular Meshes and Progressive Transmission -- Geometric Hermite Curves Based on Different Objective Functions -- Aligning 3D Polygonal Models with Improved PCA -- Collaborative Systems and GIS-Related -- A Crowd Evacuation System in Emergency Situation Based on Dynamics Model -- Come Closer: Encouraging Collaborative Behaviour in a Multimedia Environment -- The Component Based Factory Automation Control in the Internet Environment -- Database, Communication and Creation – A Research on Cultural Heritage-Based Educational Models -- An Adaptive Reliable QoS for Resource Errors Running on Ubiquitous Computing Environments -- Learner’s Tailoring E-Learning System on the Item Revision Difficulty Using PetriNet -- A Time-Controlling Terrain Rendering Algorithm -- Developing and Analyzing Geographical Content Display System by Using RFID -- Digital Heritage and Healthcare -- Determination of Ancient Manufacturing Techniques of Ceramics by 3D Shape Estimation -- CG Restoration of a Historical Noh Stage and Its Use for Edutainment -- Surveying and Mapping Caves by Using 3D Digital Technologies -- On the Use of 3D Scanner for Chinese Opera Documentation -- 3D Data Retrieval of Archaeological Pottery -- Participation as a Model the Canadian Heritage Information Network -- 3D Digital Archive of the Burghers of Calais -- The EPOCH Multimodal Interface for Interacting with Digital Heritage Artefacts -- Virtual Manuscripts for an Enhanced Museum and Web Experience ‘Living Manuscripts’ -- Note-Taking Support for Nurses Using Digital Pen Character Recognition System -- Sensing and Robotics -- Human-Robot Interaction in a Ubiquitous House -- Development and Evaluation of a Hybrid Shared Tele-Haptic System -- Experimental Investigation on Integral Cognition by Multiple Senses -- Object Detection for a Mobile Robot Using Mixed Reality -- A Humanoid Robot to Prevent Children Accidents -- The Arts and Gaming -- Facial Sketch Rendering and Animation for Fun Communications -- Implementation of a Notation-Based Motion Choreography System -- Nomadic Perspectives: Spatial Representation in Oriental Scroll Painting and Holographic Panoramagrams -- Urban-Planning Game -- Virtual Network Marathon: Fitness-Oriented E-Sports in Distributed Virtual Environment -- Creating an Authentic Aural Experience in the Digital Songlines Game Engine: Part of a Contextualised Cultural Heritage Knowledge Toolkit -- 3D Interactive Computer Games as a Pedagogical Tool.
Record Nr. UNINA-9910484920903321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part X / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part X / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Autore Liu Qingshan
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (509 pages)
Disciplina 006
Altri autori (Persone) WangHanzi
MaZhanyu
ZhengWeishi
ZhaHongbin
ChenXilin
WangLiang
JiRongrong
Collana Lecture Notes in Computer Science
Soggetto topico Image processing - Digital techniques
Computer vision
Artificial intelligence
Application software
Computer networks
Computer systems
Machine learning
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computer and Information Systems Applications
Computer Communication Networks
Computer System Implementation
Machine Learning
ISBN 981-9985-49-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part X -- Neural Network and Deep Learning III -- Dual-Stream Context-Aware Neural Network for Survival Prediction from Whole Slide Images -- 1 Introduction -- 2 Method -- 3 Experiments and Results -- 4 Conclusion -- References -- A Multi-label Image Recognition Algorithm Based on Spatial and Semantic Correlation Interaction -- 1 Introduction -- 2 Related Work -- 2.1 Correlation-Agnostic Algorithms -- 2.2 Spatial Correlation Algorithms -- 2.3 Semantic Correlation Algorithms -- 3 Methodology -- 3.1 Definition of Multi-label Image Recognition -- 3.2 The Framework of SSCI -- 3.3 Loss Function -- 4 Experiments -- 4.1 Evaluation Metrics -- 4.2 Implementation Details -- 4.3 Comparison with Other Mainstream Algorithms -- 4.4 Evaluation of the SSCI Effectiveness -- 5 Conclusion -- References -- Hierarchical Spatial-Temporal Network for Skeleton-Based Temporal Action Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Temporal Action Segmentation -- 2.2 Skeleton-Based Action Recognition -- 3 Method -- 3.1 Network Architecture -- 3.2 Multi-Branch Transfer Fusion Module -- 3.3 Multi-Scale Temporal Convolution Module -- 3.4 Loss Function -- 4 Experiments -- 4.1 Setup -- 4.2 Effect of Hierarchical Model -- 4.3 Effect of Multiple Modalties -- 4.4 Effect of Multi-modal Fusion Methods -- 4.5 Effect of Multi-Scale Temporal Convolution -- 4.6 Comparision with State-of-the-Art -- 5 Conclusion -- References -- Multi-behavior Enhanced Graph Neural Networks for Social Recommendation -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Methodology -- 4.1 Embedding Layer -- 4.2 Propagation Layer -- 4.3 Multi-behavior Integration Layer -- 4.4 Prediction Layer -- 4.5 Model Training -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Performance Comparison (RQ1) -- 5.3 Ablation Study (RQ2).
5.4 Parameter Analysis (RQ3) -- 6 Conclusion and Future Work -- References -- A Complex-Valued Neural Network Based Robust Image Compression -- 1 Introduction -- 2 Related Works -- 2.1 Neural Image Compression -- 2.2 Adversarial Attack -- 2.3 Complex-Valued Convolutional Neural Networks -- 3 Proposed Method -- 3.1 Overall Framework -- 3.2 Nonlinear Transform -- 4 Experiment Results -- 4.1 Experiment Setup -- 4.2 Results and Comparison -- 4.3 Ablation Study -- 5 Conclusions -- References -- Binarizing Super-Resolution Neural Network Without Batch Normalization -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Batch Normalization in SR Models -- 3.2 Channel-Wise Asymmetric Binarizer for Activations -- 3.3 Smoothness-Controlled Estimator -- 4 Experimentation -- 4.1 Experiment Setup -- 4.2 Ablation Study -- 4.3 Visualization -- 5 Conclusion -- References -- Infrared and Visible Image Fusion via Test-Time Training -- 1 Introduction -- 2 Method -- 2.1 Overall Framework -- 2.2 Training and Testing -- 3 Experiments -- 3.1 Experiment Configuration -- 3.2 Performance Comparison on TNO -- 3.3 Performance Comparison on VIFB -- 3.4 Ablation Study -- 4 Conclusion -- References -- Graph-Based Dependency-Aware Non-Intrusive Load Monitoring -- 1 Introduction -- 2 Proposed Method -- 2.1 Problem Formulation -- 2.2 Co-occurrence Probability Graph -- 2.3 Graph Structure Learning -- 2.4 Graph Attention Neural Network -- 2.5 Encoder-Decoder Module -- 3 Numerical Studies and Discussions -- 3.1 Dataset and Experiment Setup -- 3.2 Metrics and Comparisons -- 4 Conclusion -- References -- Few-Shot Object Detection via Classify-Free RPN -- 1 Introduction -- 2 Related Work -- 2.1 Object Detection -- 2.2 Few-Shot Learning -- 2.3 Few-Shot Object Detection -- 3 Methodology -- 3.1 Problem Setting -- 3.2 Analysis of the Base Class Bias Issue in RPN -- 3.3 Classify-Free RPN.
4 Experiments -- 4.1 Experimental Setup -- 4.2 Comparison with the State-of-the-Art -- 4.3 Ablation Study -- 5 Conclusion -- References -- IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors -- 1 Introduction -- 2 Methods -- 2.1 Target Motion Encoder and 3D Shape Encoder -- 2.2 3D Shape-Aware Warping Module -- 2.3 Identity-Aware Refining Module -- 2.4 Enhanced Domain Discriminator -- 2.5 Training -- 3 Experiment -- 3.1 Experimental Setup -- 3.2 Comparisons -- 3.3 Ablation Study -- 4 Limitation -- 5 Conclusion -- References -- L2MNet: Enhancing Continual Semantic Segmentation with Mask Matching -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Preliminaries and Revisiting -- 3.2 Proposed Learn-to-Match Framework -- 3.3 Training Loss -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 Quantitative Evaluation -- 4.3 Ablation Study -- 5 Conclusion -- References -- Adaptive Channel Pruning for Trainability Protection -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Method Framework and Motivation -- 3.2 Channel Similarity Calculation and Trainability Preservation -- 3.3 Sparse Control and Optimization -- 4 Experiments -- 4.1 Experiments Settings and Evaluation Metrics -- 4.2 Results on Imagenet -- 4.3 Results on Cifar-10 -- 4.4 Results on YOLOX-s -- 4.5 Ablation -- 5 Conclusion -- References -- Exploiting Adaptive Crop and Deformable Convolution for Road Damage Detection -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Adaptive Image Cropping Based on Vanishing Point Estimation -- 3.2 Feature Learning with Deformable Convolution -- 3.3 Diagonal Intersection over Union Loss Function -- 4 Experiment -- 4.1 Comparative Analysis of Different Datasets -- 4.2 Ablation Analysis -- 5 Conclusion -- References -- Cascaded-Scoring Tracklet Matching for Multi-object Tracking.
1 Introduction -- 2 Related Work -- 2.1 Tracking by Detection -- 2.2 Joint Detection and Tracking -- 3 Proposed Method -- 3.1 Cascaded-Scoring Tracklet Matching -- 3.2 Motion-Guided Based Target Aware -- 3.3 Appearance-Assisted Feature Warper -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Ablation Studies -- 4.3 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Boosting Generalization Performance in Person Re-identification -- 1 Introduction -- 2 Related Work -- 2.1 Generalizable Person ReID -- 2.2 Vision-Language Learning -- 3 Method -- 3.1 Review of CLIP -- 3.2 A Novel Cross-Modal Framework -- 3.3 Prompt Design Process -- 3.4 Loss Function -- 4 Experiments -- 4.1 Datasets and Evaluation Protocols -- 4.2 Implementation Details -- 4.3 Ablation Study -- 4.4 Comparison with State-of-the-Art Methods -- 4.5 Other Analysis -- 5 Conclusion -- References -- Self-guided Transformer for Video Super-Resolution -- 1 Introduction -- 2 Related Work -- 2.1 Video Super-Resolution -- 2.2 Vision Transformers -- 3 Our Method -- 3.1 Network Overview -- 3.2 Multi-headed Self-attention Module Based on Offset-Guided Window (OGW-MSA) -- 3.3 Feature Aggregation (FA) -- 4 Experiments -- 4.1 Datasets and Experimental Settings -- 4.2 Comparisons with State-of-the-Art Methods -- 4.3 Ablation Study -- 5 Conclusion -- References -- SAMP: Sub-task Aware Model Pruning with Layer-Wise Channel Balancing for Person Search -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 3.1 Framework Overview -- 3.2 Sub-task Aware Channel Importance Estimation -- 3.3 Layer-Wise Channel Balancing -- 3.4 Adaptive OIM Loss for Model Pruning and Finetuning -- 4 Experimental Results and Analysis -- 4.1 Dataset and Evaluation Metric -- 4.2 Implementation Details -- 4.3 Comparison with the State-of-the-Art Approaches -- 4.4 Ablation Study -- 5 Conclusion.
References -- MKB: Multi-Kernel Bures Metric for Nighttime Aerial Tracking -- 1 Introduction -- 2 Methodology -- 2.1 Kernel Bures Metric -- 2.2 Multi-Kernel Bures Metric -- 2.3 Objective Loss -- 3 Experiments -- 3.1 Implementation Details -- 3.2 Evaluation Datasets -- 3.3 Comparison Results -- 3.4 Visualization -- 3.5 Ablation Study -- 4 Conclusion -- References -- Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution -- 1 Introduction -- 2 The Proposed Method -- 2.1 Problem Formulation -- 2.2 Algorithm Unfolding -- 2.3 Continuous Up-Sampling Fusion (CUSF) -- 2.4 Loss Function -- 3 Experimental Results -- 3.1 Implementation Details -- 3.2 The Quality Comparison of Different DSR Methods -- 3.3 Ablation Study -- 4 Conclusion -- References -- SSDD-Net: A Lightweight and Efficient Deep Learning Model for Steel Surface Defect Detection -- 1 Introduction -- 2 Methods -- 2.1 LMFE: Light Multiscale Feature Extraction Module -- 2.2 SEFF: Simple Effective Feature Fusion Network -- 2.3 SSDD-Net -- 3 Experiments and Analysis -- 3.1 Implementation Details -- 3.2 Evaluation Metrics -- 3.3 Dataset -- 3.4 Ablation Studies -- 3.5 Comparison with Other SOTA Methods -- 3.6 Comprehensive Performance of SSDD-Net -- 4 Conclusion -- References -- Effective Small Ship Detection with Enhanced-YOLOv7 -- 1 Introduction -- 2 Method -- 2.1 Small Object-Aware Feature Extraction Module (SOAFE) -- 2.2 Small Object-Friendly Scale-Insensitive Regression Scheme (SOFSIR) -- 2.3 Geometric Constraint-Based Non-Maximum Suppression Method (GCNMS) -- 3 Experiments -- 3.1 Experimental Settings -- 3.2 Quantitative Analysis -- 3.3 Ablation Studies -- 3.4 Qualitative Analysis -- 4 Conclusion -- References -- PiDiNeXt: An Efficient Edge Detector Based on Parallel Pixel Difference Networks -- 1 Introduction -- 2 Related Work.
2.1 The Development of Deep Learning Based Edge Detection.
Record Nr. UNINA-9910799223503321
Liu Qingshan  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part IV / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part IV / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Autore Liu Qingshan
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (514 pages)
Disciplina 006
Altri autori (Persone) WangHanzi
MaZhanyu
ZhengWeishi
ZhaHongbin
ChenXilin
WangLiang
JiRongrong
Collana Lecture Notes in Computer Science
Soggetto topico Image processing - Digital techniques
Computer vision
Artificial intelligence
Application software
Computer networks
Computer systems
Machine learning
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computer and Information Systems Applications
Computer Communication Networks
Computer System Implementation
Machine Learning
ISBN 981-9984-62-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pattern Classification and Cluster Analysis -- Performance Evaluation and Benchmarks -- Remote Sensing Image Interpretation.
Record Nr. UNINA-9910799217603321
Liu Qingshan  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part V / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part V / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Autore Liu Qingshan
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (542 pages)
Disciplina 621.39
004.6
Altri autori (Persone) WangHanzi
MaZhanyu
ZhengWeishi
ZhaHongbin
ChenXilin
WangLiang
JiRongrong
Collana Lecture Notes in Computer Science
Soggetto topico Computer engineering
Computer networks
Image processing - Digital techniques
Computer vision
Computer systems
Machine learning
Computer Engineering and Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Communication Networks
Computer System Implementation
Machine Learning
ISBN 981-9984-69-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Biometric Recognition -- Face Recognition and Pose Recognition -- Structural Pattern Recognition.
Record Nr. UNINA-9910799207103321
Liu Qingshan  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part VI / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part VI / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Autore Liu Qingshan
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (534 pages)
Disciplina 621.39
004.6
Altri autori (Persone) WangHanzi
MaZhanyu
ZhengWeishi
ZhaHongbin
ChenXilin
WangLiang
JiRongrong
Collana Lecture Notes in Computer Science
Soggetto topico Computer engineering
Computer networks
Image processing - Digital techniques
Computer vision
Computer systems
Machine learning
Computer Engineering and Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Communication Networks
Computer System Implementation
Machine Learning
ISBN 981-9985-37-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computational Photography, Sensing and Display Technology -- Video Analysis and Understanding -- Vision Applications and Systems.
Record Nr. UNINA-9910799212003321
Liu Qingshan  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part XIII / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part XIII / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Autore Liu Qingshan
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (524 pages)
Disciplina 006
Altri autori (Persone) WangHanzi
MaZhanyu
ZhengWeishi
ZhaHongbin
ChenXilin
WangLiang
JiRongrong
Collana Lecture Notes in Computer Science
Soggetto topico Image processing - Digital techniques
Computer vision
Artificial intelligence
Application software
Computer networks
Computer systems
Machine learning
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computer and Information Systems Applications
Computer Communication Networks
Computer System Implementation
Machine Learning
ISBN 981-9985-58-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part XIII -- Medical Image Processing and Analysis -- Growth Simulation Network for Polyp Segmentation -- 1 Introduction -- 2 The Proposed Method -- 2.1 Gaussian Map and Body Map -- 2.2 Overall Architecture -- 2.3 Features Extraction and Fusion Module -- 2.4 Dynamic Attention Guidance Module -- 2.5 Dynamic Simulation Loss -- 3 Experiments -- 3.1 Settings -- 3.2 Comparisons with State-of-the-art -- 3.3 Ablation Study -- 4 Conclusion -- References -- Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Feature Extraction Module -- 3.2 Brain Diffuser -- 3.3 GCN Classifier -- 3.4 Loss Function -- 4 Experiments -- 4.1 Dataset and Preprocessing -- 4.2 Experiment Configuration -- 4.3 Results and Discussion -- 5 Conclusion -- References -- CCJ-SLC: A Skin Lesion Image Classification Method Based on Contrastive Clustering and Jigsaw Puzzle -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Overview of Our Method -- 3.2 Contrastive Clustering -- 3.3 Jigsaw Puzzle -- 3.4 Loss Function -- 4 Experiments -- 4.1 Dataset and Evaluation Metrics -- 4.2 Baseline Performance -- 4.3 Ablation Experiment -- 4.4 Analysis -- 5 Conclusion -- References -- A Real-Time Network for Fast Breast Lesion Detection in Ultrasound Videos -- 1 Introduction -- 2 Method -- 2.1 Space Time Feature Aggregation (STA) Module -- 3 Experiments and Results -- 3.1 Comparisons with State-of-the-Arts -- 3.2 Ablation Study -- 3.3 Generalizability of Our Network -- 4 Conclusion -- References -- CBAV-Loss: Crossover and Branch Losses for Artery-Vein Segmentation in OCTA Images -- 1 Introduction -- 2 Methods -- 2.1 Overview -- 2.2 Crossover Loss and Branch Loss -- 2.3 Loss Function -- 3 Experiments -- 3.1 Data -- 3.2 Experimental Settings -- 3.3 Evaluation Metrics.
3.4 Ablation Study on CBAV-Loss -- 3.5 Influence of the Proposed Loss on Different Segmentation Networks -- 4 Conclusion -- References -- Leveraging Data Correlations for Skin Lesion Classification -- 1 Introduction -- 2 Related Work -- 2.1 Skin Lesion Classification -- 2.2 Correlation Mining -- 3 Methodology -- 3.1 Feature Enhancement Stage -- 3.2 Label Distribution Learning Stage -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Hyper Parameters Setting -- 4.3 Comparison with State-of-the-Art Methods -- 4.4 Ablation Studies -- 5 Conclusion -- References -- CheXNet: Combing Transformer and CNN for Thorax Disease Diagnosis from Chest X-ray Images -- 1 Introduction -- 2 Related Work -- 2.1 Label Dependency and Imbalance -- 2.2 Extensive Lesion Location -- 3 Approaches -- 3.1 Label Embedding and MSP Block -- 3.2 Inner Branch -- 3.3 C2T and T2C in IIM -- 4 Experiments -- 4.1 Dataset -- 4.2 Comparison to the State-of-the-Arts -- 4.3 Ablation Study -- 5 Conclusion -- References -- Cross Attention Multi Scale CNN-Transformer Hybrid Encoder Is General Medical Image Learner -- 1 Introduction -- 2 Methods -- 2.1 Dual Encoder -- 2.2 Shallow Fusion Module -- 2.3 Deep Fusion Module -- 2.4 Deep Supervision -- 3 Experiments and Results -- 3.1 Dateset -- 3.2 Implementation Details -- 3.3 Comparison with Other Methods -- 3.4 Ablation Studies -- 4 Conclusion -- References -- Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-Aware Contrastive Learning -- 1 Introduction -- 2 Methods -- 2.1 Multi-level Regularization of Semi-supervision -- 2.2 Uncertain Region-Aware Contrastive Learning -- 2.3 Differentiable Ejection Fraction Estimation of Weak Supervision -- 3 Datasets and Implementation Details -- 4 Results -- 5 Conclusion -- References.
Spatial-Temporal Graph Convolutional Network for Insomnia Classification via Brain Functional Connectivity Imaging of rs-fMRI -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Data Augmentation -- 3.3 Construction of Spatio-Temporal Graph -- 3.4 Spatio-Temporal Graph Convolution (ST-GC) -- 3.5 ST-GCN Building -- 3.6 Edge Importance Learning -- 4 Experiments -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Analysis of Different Sliding Window Step Size -- 4.4 Comparison with Other Methods -- 5 Conclusion -- References -- Probability-Based Nuclei Detection and Critical-Region Guided Instance Segmentation -- 1 Introduction -- 2 Related Works on Nucleus Instance Segmentation -- 2.1 Bounding Box-Based Methods -- 2.2 Boundary-Based Methods -- 2.3 Critical Region-Based Methods -- 3 CGIS Method and CPF Feature -- 3.1 Critical-Region Guided Instance Segmentation -- 3.2 Central Probability Field -- 3.3 Nuclear Classification -- 4 Experimental Verification and Analysis -- 4.1 Datasets and Evaluation Metrics -- 4.2 Parameters and Implementation Details -- 4.3 Comparisons with Other Methods -- 4.4 Ablation Study -- 5 Conclusion -- References -- FlashViT: A Flash Vision Transformer with Large-Scale Token Merging for Congenital Heart Disease Detection -- 1 Introduction -- 2 Method -- 2.1 Overview -- 2.2 FlashViT Block -- 2.3 Large-Scale Token Merging Module -- 2.4 Architecture Variants -- 3 Experiments -- 3.1 CHD Dataset -- 3.2 Evaluations on CHD Dataset -- 3.3 Homogenous Pre-training Strategy -- 3.4 Ablation Study -- 4 Conclusion -- References -- Semi-supervised Retinal Vessel Segmentation Through Point Consistency -- 1 Introduction -- 2 Method -- 2.1 Segmentation Module -- 2.2 Point Consistency Module -- 2.3 Semi-supervised Training Through Point Consistency -- 3 Experiments -- 3.1 Datasets -- 3.2 Implementation Details.
3.3 Experimental Results -- 4 Conclusion -- References -- Knowledge Distillation of Attention and Residual U-Net: Transfer from Deep to Shallow Models for Medical Image Classification -- 1 Introduction -- 2 Methods -- 2.1 Res-Transformer Teacher Model Based on U-Net Structure -- 2.2 ResU-Net Student Model Incorporates Residual -- 2.3 Knowledge Distillation -- 3 Data and Experiments -- 3.1 Datasets -- 3.2 Experimental Settings -- 3.3 Results -- 4 Conclusion -- References -- Two-Stage Deep Learning Segmentation for Tiny Brain Regions -- 1 Introduction -- 2 Method -- 2.1 Overall Workflow -- 2.2 Two-Stage Segmentation Network -- 2.3 Contrast Loss Function -- 2.4 Attention Modules -- 3 Experiments -- 3.1 Dataset and Metrics -- 3.2 Comparisons Experiments -- 4 Conclusion -- References -- Encoder Activation Diffusion and Decoder Transformer Fusion Network for Medical Image Segmentation -- 1 Introduction -- 2 Methodology -- 2.1 Lightweight Convolution Modulation -- 2.2 Encoder Activation Diffusion -- 2.3 Multi-scale Decoding Fusion with Transformer -- 3 Experiments -- 3.1 Datasets -- 3.2 Implementation Details -- 3.3 Evaluation Results -- 3.4 Ablation Study -- 4 Conclusion -- References -- Liver Segmentation via Learning Cross-Modality Content-Aware Representation -- 1 Introduce -- 2 Methodology -- 2.1 Overview -- 2.2 Image-to-Image Network -- 2.3 Peer-to-Peer Network -- 3 Experiments -- 3.1 Dataset -- 3.2 Setting -- 3.3 Result -- 4 Conclusion -- References -- Semi-supervised Medical Image Segmentation Based on Multi-scale Knowledge Discovery and Multi-task Ensemble -- 1 Introduction -- 2 Related Works on SSMIS -- 3 Proposed Method -- 3.1 Multi-scale Knowledge Discovery -- 3.2 Multi-task Ensemble Strategy -- 4 Experiments and Analysis -- 4.1 Datasets and Implementation Details -- 4.2 Comparisons with State-of-the-Art Methods -- 4.3 Ablation Studies.
5 Conclusion -- References -- LATrans-Unet: Improving CNN-Transformer with Location Adaptive for Medical Image Segmentation -- 1 Introduction -- 2 Method -- 2.1 Encoder-Decoder Architecture -- 2.2 Location-Adaptive Attention -- 2.3 SimAM-Skip Structure -- 3 Experiments -- 3.1 Dataset -- 3.2 Implementation Details -- 3.3 Evaluation Results -- 3.4 Ablation Study -- 3.5 Discussion -- 4 Conclusions -- References -- Adversarial Keyword Extraction and Semantic-Spatial Feature Aggregation for Clinical Report Guided Thyroid Nodule Segmentation -- 1 Introduction -- 2 Method -- 2.1 Adversarial Keyword Extraction (AKE) -- 2.2 Semantic-Spatial Features Aggregation (SSFA) -- 2.3 The Full Objective Functions -- 3 Experiment -- 3.1 Comparison with the State-of-the-Arts -- 3.2 Ablation Study -- 3.3 Visualization of Generated Keyword Masks -- 4 Conclusion -- References -- A Multi-modality Driven Promptable Transformer for Automated Parapneumonic Effusion Staging -- 1 Introduction -- 2 Related Works -- 2.1 Disease Detection Methods with CT Images -- 2.2 Classification Methods with Time Sequence Videos -- 3 Method -- 3.1 CNN-Based Slice-Level Feature Extraction -- 3.2 Prompt Encoder -- 3.3 Cross-Modality Fusion Transformer -- 4 Experiments -- 4.1 Setting and Implementation -- 4.2 Results -- 4.3 Ablation Study -- 5 Conclusion -- References -- Assessing the Social Skills of Children with Autism Spectrum Disorder via Language-Image Pre-training Models -- 1 Introduction -- 2 Related Works -- 2.1 Behavior Signal Processing System -- 2.2 Language-Image Pre-training Models -- 3 Methodology -- 3.1 Paradigm Design -- 3.2 Language-Image Based Method -- 4 Experimental Results -- 4.1 Database -- 4.2 Results -- 4.3 Discussion -- 5 Conclusion -- References -- PPS: Semi-supervised 3D Biomedical Image Segmentation via Pyramid Pseudo-Labeling Supervision -- 1 Introduction -- 2 Method.
2.1 Overview.
Record Nr. UNINA-9910799224803321
Liu Qingshan  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part VII / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part VII / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Autore Liu Qingshan
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (525 pages)
Disciplina 006
Altri autori (Persone) WangHanzi
MaZhanyu
ZhengWeishi
ZhaHongbin
ChenXilin
WangLiang
JiRongrong
Collana Lecture Notes in Computer Science
Soggetto topico Image processing - Digital techniques
Computer vision
Artificial intelligence
Application software
Computer networks
Computer systems
Machine learning
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computer and Information Systems Applications
Computer Communication Networks
Computer System Implementation
Machine Learning
ISBN 981-9985-40-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Document Analysis and Recognition -- Feature Extraction and Feature Selection -- Multimedia Analysis and Reasoning.
Record Nr. UNINA-9910799213803321
Liu Qingshan  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part IX / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Pattern Recognition and Computer Vision [[electronic resource] ] : 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part IX / / edited by Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji
Autore Liu Qingshan
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (520 pages)
Disciplina 006
Altri autori (Persone) WangHanzi
MaZhanyu
ZhengWeishi
ZhaHongbin
ChenXilin
WangLiang
JiRongrong
Collana Lecture Notes in Computer Science
Soggetto topico Image processing - Digital techniques
Computer vision
Artificial intelligence
Application software
Computer networks
Computer systems
Machine learning
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computer and Information Systems Applications
Computer Communication Networks
Computer System Implementation
Machine Learning
ISBN 981-9985-46-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part IX -- Neural Network and Deep Learning II -- Decoupled Contrastive Learning for Long-Tailed Distribution -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Online Tail Samples Discovery -- 3.2 Hard Negatives Generation -- 3.3 Contrastive Loss Reweighting -- 4 Experiments -- 4.1 Linear Probing Evaluations -- 4.2 Analysis -- 5 Conclusion -- References -- MFNet: A Channel Segmentation-Based Hierarchical Network for Multi-food Recognition -- 1 Introduction -- 2 Related Work -- 3 Food Image Datasets Construction -- 3.1 Food Images Collection -- 3.2 Annotation and Statistics -- 4 Method -- 4.1 CWF: Channel-Level Whole Image Food Information Acquisition -- 4.2 SGC: Spatial-Level Global Information Constraints -- 4.3 SPF: Spatial-Level Part Image Food Information Acquisition -- 5 Experiments -- 5.1 Datasets and Evaluation Metrics -- 5.2 Implementation Details -- 5.3 Performance Comparison with Other Method -- 5.4 Ablation Study -- 5.5 Visualization Result -- 6 Conclusion -- References -- Improving the Adversarial Robustness of Object Detection with Contrastive Learning -- 1 Introduction -- 2 Related Work -- 2.1 Adversarial Attacks -- 2.2 Adversarial Defenses -- 2.3 Contrastive Learning -- 3 Proposed Method -- 3.1 Contrastive Learning Module -- 3.2 Contrastive Adversarial SSD -- 3.3 Contrastive Adversarial YOLO -- 3.4 Adversarial Training with Contrastive Learning -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Defense Capability Evaluation -- 5 Conclusion -- References -- CAWNet: A Channel Attention Watermarking Attack Network Based on CWABlock -- 1 Introduction -- 2 Related Work -- 2.1 Attacked Watermarking Algorithm -- 2.2 Watermarking Attack Techniques -- 3 The Proposed Method -- 3.1 CAWNet -- 3.2 Attention Mechanism -- 3.3 CWABlock -- 4 Experiments and Results Analysis.
4.1 Evaluation Criteria -- 4.2 Ablation Experiment -- 4.3 Effects of Traditional Attack and Different Deep Learning Attack Methods -- 4.4 Stability and Suitability Testing -- 5 Conclusion -- References -- Global Consistency Enhancement Network for Weakly-Supervised Semantic Segmentation -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Middle-Level Feature Auxiliary -- 3.2 Intra-class Consistency Enhancement -- 3.3 Critical Region Suppression -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Implementation Details -- 4.3 CAM Performance -- 4.4 Segmentation Performance -- 4.5 Ablation Study -- 5 Conclusion -- References -- Enhancing Model Robustness Against Adversarial Attacks with an Anti-adversarial Module -- 1 Introduction -- 2 Related Works -- 2.1 Gradient Masking -- 2.2 Adversarial Examples Detection -- 2.3 Robust Optimization -- 3 Methods -- 3.1 Counter-Adversarial Module -- 3.2 Enhancing Defense Against Black-Box Attacks -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Main Results -- 4.3 Ablation Study -- 5 Conclusion -- References -- FGPTQ-ViT: Fine-Grained Post-training Quantization for Vision Transformers -- 1 Introduction -- 2 Related Work -- 2.1 CNN Quantization -- 2.2 Vision Transformer Quantization -- 3 Method -- 3.1 FGPTQ-ViT Framework -- 3.2 Fine-Grained ViT Quantization -- 3.3 Adaptive Piecewise Point Search Algorithm -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Experimental Results -- 4.3 Ablation Study -- 5 Conclusion -- References -- Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting -- 1 Introduction -- 2 Related Work -- 2.1 Convolutional and Transformer Models -- 2.2 Fourier Transform and Decomposition Models -- 3 Proposed Approach -- 3.1 Time Series Hierarchical Decomposition -- 3.2 Trend Forecasting Module -- 3.3 Seasonal Forecasting Module -- 4 Experiments.
4.1 Dataset -- 4.2 Baselines and Setup -- 4.3 Implement Details and Evaluation Metrics -- 4.4 Main Results -- 4.5 Ablation Study -- 5 Conclusion -- References -- DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data -- 1 Introduction -- 2 Related Work -- 2.1 General SSL Methods -- 2.2 Imbalanced SSL Methods -- 2.3 Open-Set SSL Methods -- 3 Proposed Method -- 3.1 Problem Setting and Notations -- 3.2 Class-Aware Threshold -- 3.3 Selective Sample Reweighting -- 3.4 Positive-Pair Reweighting -- 3.5 Overall Training Objective -- 4 Experimental Results -- 4.1 Experimental Settings -- 4.2 Numerical Comparison -- 4.3 Analysis on Impact of OOD Data -- 4.4 Ablation Experiments -- 5 Conclusion -- A Analysis of the Effect of OOD Data to SSL Methods -- B Algorithm Flowchart -- C Visualized Comparison -- References -- An Effective Visible-Infrared Person Re-identification Network Based on Second-Order Attention and Mixed Intermediate Modality -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Second-Order Attention Module -- 3.2 Mixed Intermediate Modality Module -- 3.3 Optimization -- 4 Experiments -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Comparison with State-of-the-Art Methods -- 4.4 Ablation Study -- 5 Conclusion -- References -- Quadratic Polynomial Residual Network for No-Reference Image Quality Assessment -- 1 Introduction -- 2 Related Work -- 2.1 IQA and Information Entropy -- 2.2 IQA and Deep Learning -- 3 Design of Network -- 3.1 Two-Dimensional Information Entropy for Patch Sampling -- 3.2 Network Architecture -- 4 Experiment Result -- 5 Conclusion -- References -- Interactive Learning for Interpretable Visual Recognition via Semantic-Aware Self-Teaching Framework -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Patch Selection Strategy -- 3.2 Semantic-Aware Self-Teaching -- 4 Experiments.
5 Conclusion -- References -- Adaptive and Compact Graph Convolutional Network for Micro-expression Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Structure Graph -- 3 Method -- 3.1 Cheek Included Facial Graph -- 3.2 Tightly Connected Strategy -- 3.3 Small Region Module -- 3.4 Adaptive and Compact Graph Convolutional Network -- 4 Experiments -- 4.1 Datasets and Implementation Details -- 4.2 Quantitative Results -- 4.3 Ablation Study -- 5 Conclusion -- References -- Consistency Guided Multiview Hypergraph Embedding Learning with Multiatlas-Based Functional Connectivity Networks Using Resting-State fMRI -- 1 Introduction -- 2 Methods -- 2.1 Hypergraph and Hypergraph Construction with FCN -- 2.2 Proposed CG-MHGEL with Multiatlas-Based FCNs -- 3 Experiment -- 3.1 Experimental Settings -- 3.2 Experimental Results and Analysis -- 4 Conclusion -- References -- A Diffusion Simulation User Behavior Perception Attention Network for Information Diffusion Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Model Framework -- 3.3 Diffusion Simulation User Behavior Embedding -- 3.4 User Behavior Fusion Transformer -- 3.5 Cascade Perception Attention Network -- 3.6 Diffusion Prediction -- 4 Experiment -- 4.1 Results -- 5 Conclusion -- References -- A Representation Learning Link Prediction Approach Using Line Graph Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 The NLG-GNN Framework -- 4 Experimental Setup -- 4.1 Experimental Results -- 5 Conclusion -- References -- Event Sparse Net: Sparse Dynamic Graph Multi-representation Learning with Temporal Attention for Event-Based Data -- 1 Introduction -- 2 Related Work -- 2.1 Graph Representations -- 2.2 Dynamic Graph Neural Network -- 3 Methods -- 3.1 Local Self Attention -- 3.2 Global Temporal Attention -- 4 Experiments -- 4.1 Datasets.
4.2 Setup -- 4.3 Continuous Data Inductive Learning -- 4.4 Discrete Data Inductive Learning -- 4.5 Discrete Data Transductive Learning -- 5 Conclusion -- References -- Federated Learning Based on Diffusion Model to Cope with Non-IID Data -- 1 Introduction -- 2 Method -- 2.1 The First Stage -- 2.2 The Second Stage -- 2.3 The Third Stage -- 3 Experiments -- 3.1 Setup -- 3.2 Performance Comparison -- 3.3 Experimental Factors Analysis -- 4 Conclusion -- References -- SFRSwin: A Shallow Significant Feature Retention Swin Transformer for Fine-Grained Image Classification of Wildlife Species -- 1 Introduction -- 2 Related Works -- 2.1 Convolutional Neural Network -- 2.2 Vision Transformer -- 3 Methodology -- 3.1 Self-attentive Mechanism Based on Shifted Windows -- 3.2 Random Data Enhancement -- 4 Evaluation -- 4.1 Datasets and Implementation Details -- 4.2 Model Complexity Analysis -- 5 Conclusion -- References -- A Robust and High Accurate Method for Hand Kinematics Decoding from Neural Populations -- 1 Introduction -- 2 Related Works -- 2.1 iBMI Cortical Control Decoding Algorithm -- 2.2 Attention Module -- 3 Method -- 3.1 Neural Recording System and Behavioral Task -- 3.2 Experimental Procedure of the Cortical Control -- 3.3 Temporal-Attention QRNN -- 3.4 Evaluation Metrics -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Comparison of Decoding Results -- 4.3 Discussion -- 5 Conclusion -- References -- Multi-head Attention Induced Dynamic Hypergraph Convolutional Networks -- 1 Introduction -- 2 Related Work -- 2.1 Neural Networks on Graph -- 2.2 Neural Networks on Hypergraph -- 3 Methodology -- 3.1 Definitions and Notations -- 3.2 Hypergraph Construction -- 3.3 Vertex Convolution -- 3.4 Hyperedge Convolution -- 3.5 The Proposed Algorithm -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Settings -- 4.3 Results and Discussion.
4.4 Ablation Studies.
Record Nr. UNINA-9910799208803321
Liu Qingshan  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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