Image processing Books

Book Synopsis.- ConvSFNet: A Novel Architecture for Disaster Image Analysis..- Impact of Color Channel Perturbation Attack on Vision Transformers..- Boundary Refinement in Abdomen Segmentation using 3D Inverseform Loss..- Enhancing Hyperspectral Remote Sensing Image Classification by the Fusion of Transfer Learning Models for Crop Classification..- Advanced Lung Nodule Segmentation for Early Detection of Lung Cancer Using SAM and Transfer Learning..- On OpenAI Vision’s Capability to Detect Common Vision Disorders..- Squeezing Global Local Attention Within Siamese Network for Robust Palm Vein Recognition..- Balancing Plasticity with Enhanced Stability: A Task-Incremental Learning Approach for Image Classification..- Predicting ADHD: Combining Data-Driven ROI Extraction and Composite Graph Spectral Analysis..- HYPC-Net: A Hybrid Yoga Pose Classification Network..- Fuzzyfake: Copyright protection of deep fake images using FIS optimization..- Explainable AI and Deep Learning for Brain Tumor Classification: A Comprehensive Approach Using Grad-CAM Visualization..- Coding Performance Analysis of Deep Rain Streaks Removal Convolutional Neural Network Based In-loop Filtering for High Efficiency Video Coding..- Empowering Morphing Attack Detection using Interpretable Image-Text Foundation Model..- Data Conditioning to Improve Quality of Segmentation of Brain MRI Using Deep CNN Models..- Designing a Lightweight Network for Object Detection in Drone-Based Surveillance..- Advancing Question Answering on Handwritten Documents..- Object Detection through Finger Count using Deep Learning Techniques for HRI..- Fish92: A Novel Dataset for Indigenous Fish Classification..- Attention-based Detection of Night-time Traffic Accidents..- LDCrowdNet: A Lightweight Network for Dense Crowd Counting..- SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network..- Beyond the General Pose: An Optimized Yoga Posture Similarity Assessment Method With PCA-Driven Feature Selection..- UBI-DET: Towards a Unified Framework for Open-Set Fine-Grained Object Detection..- Face Recognition in Selfie Images using Vision Transformer Variants..- Converting Gujarati text in custom-embedded subsetted non-Unicode fonts to searchable formats: A case study using Jain religious texts..- Towards Digitizing Filled Indic Handwritten Forms..- Benchmarking YOLO object detectors for component detection in power line infrastructure: Dataset and Results..- Visual Document Understanding: A Comparative Review of Modern Methods..- On Application of Prufer Codes for Grid-free Lock Pattern Understanding..- Swin Transformer for Robust Differentiation of Real and Synthetic Images: Intra- and Inter-Dataset Analysis..- Quantum-Circuit Inspired Hybrid QCNN for UAV Based Crop Classification.

Read more less

Book Synopsis.- Do not look so locally to fish skins: Improved YOLOv7 for fish disease detection with Transformers..- MDDAMFN: Mixed Dual-Direction Attention Mechanism to Enhance Facial Expression..- A brief review of state-of-the-art classification methods on benchmark Peripheral Blood Smears datasets..- Detection and Monocular Depth Estimation of Ghost Nets..- DiffMamba: Leveraging Mamba for Effective Fusion of Noise and Conditional Features in Diffusion Models for Skin Lesion Segmentation..- UDC-Mamba: Deep State Space Model for Under Display Camera Image Restoration..- Walking Direction Estimation using Silhouette and Skeletal Representations..- Realizing GAN Potential for Image Generation and Image-To-Image Translation Using Pix2Pix..- DSFF-Net: Depthwise Separable U-Net with Feature Fusion for Polyp Segmentation towards Hardware Deployment..- Cattle Identification through Multi-Biometric Features and Edge Device..- Fast sparse SAR Image Reconstruction Using Sparsity Independent Regularized Pursuit..- Space Varying Motion Blur Degradation Dataset and Model for Semantic Segmentation..- Multi-class classification of Gastrointestinal Disease detection using Vision Transformers..- MGC: Music Genre Classification Using a Hybrid CNN-LSTM Model with MFCC Input..- DBTC-Net: Dual-Branch Transformer-CNN Network for Brain Tumor Segmentation.

Read more less

Book Synopsis.- TranscoderGAN: Transformer-Inception based Encoder-Decoder Generative Adversarial Network for Thermal-Visible Face Transformation..- PCNet3D: A Pillar based Cascaded 3D Object Detection Model using LiDAR Point Cloud..- Leveraging English Captions for Improved Image Captioning in Low-Resource Languages..- Plant-AT: Customized Hybrid Attention Model for Diagnosing Plant Disease..- FL-STGCN: Mental Health Recognition using RGB and IR Landmark Feature Fusion..- An Object Translation-based Image Augmentation-enabled Cyclone Eye Detection System for Tropical Cyclones in India..- Automatic Monitoring of Crops from Drone Images with a Suitable Deep Learning Model..- TransDerain: Efficient Transformer Network for Video Deraining..- Deep Compressive Sensing for High-Quality Video Recovery..- Transforming Single Photon Camera Images to Color High Dynamic Range Images..- Breast Cancer Detection using Thresholded Wavelet Transformation and Transfer Learning..- Stage Estimation in Parkinson’s Disease from MRI and Clinical Assessment Data with a Multivariate Analysis..- Enhanced Image Feature Selection Techniques for Visualization and Classification of Android Malware..- End-to-End Prostate Cancer Segmentation for RT Planning..- Bangla Chitra Net: An efficient transformer-based architecture for image captioning..- Adaptive Quantization of Deep Neural Networks via Layer Importance Estimation..- Paired Attention Swin UNETR for Volumetric Segmentation of Brain Tumor..- Enhancing Maritime Multi Object Tracking with Meta-data Assisted Re-Identification..- Advanced Fingerprint Authentication System Integrating HQC and AES Encryption for Post-Quantum Security..- MyoCI: Computational Intelligence for Early Detection of Myocardial Infarction using Text Analysis through Clinical Data..- Domain Adaptation for Image Classification: A Comparative Study of Semi-Supervised versus Unsupervised Approaches..- WAVE-NET: Weakly-Supervised Video Anomaly Detection through Feature Enhancement and triplet loss..- GAN-driven Brain Tumor Segmentation with Attention Residual U-Net..- Efficient Masked Face Recognition in Low-Resolution Images with MobileNet and Attention Mechanism..- CompTSRTrans: Computationally Efficient Thermal Image Super-Resolution based on Transformer..- Medical Image Restoration based on Split Bregman with DIP-TV..- Hand Detection in the Wild Leveraging RetinaNet..- Learnable Gabor and Wavelet Filters Based Deep Learning for Image Forgery Detection..- Manifold Embedding for Pseudo-centric Domain Adaptation Approaches..- Fooling Face Recognition Systems through Physical Adversarial Attack..- Enhanced Eye Disease Diagnosis using Integrated ResNet-101 and Vision Transformer..- Leveraging CNN Features and Vision Transformers for Enhanced Focal Liver LesionClassification..- OSCMamba: Omni-directional Selective Scan Convolution Mamba for Medical ImageClassification.

Read more less

Book Synopsis.- Virtual Reality..- The Metaverse in Automotive Retail: Field Study on Implementation and Customer Interaction ..- Virtual Reality in Geoscience: An Overview ..- Maritime Training through Virtual Reality: System Design and Research Roadmap..- Spatial Cognition and Awareness of non-Euclidean Virtual Reality Environments: A pilot study on the Effect of Personality Traits..- Leveraging Transfer Learning for Niche Sign System Recognition in VR Training with Limited Data..- Navigating Social Biases through Virtual Reality Perspective Taking: Exploring the Mediating Role of Outgroup Perspective Taking ..- Immersive technologies for Cultural Heritage: Bridging History and Technology in Museums..- Exploring VR Accessibility Challenges and Solutions through Crowdsourced Insights from Reddit..- Study of VR Application in Additive Manufacturing of Customized Orthopedic Products..- Empowering Accessible Social Engagement in Virtual Reality: Piloting a preparatory Usability Experience on Neurotypical Individuals..- Examining the impact of pilot expertise and task difficulty on visual attention and flight performance in a high visual-fidelity flight simulator..- Revolutionizing Agrifood Training: The MetaLAM Virtual Laboratory for Multielement Analysis..- Exploring moral dilemmas in Virtual Reality: a literature review..- Immersive questionnaire framework for perception research studies..- Detecting the Fingers of Adult Braille Readers Using Ultraleap’s Virtual Reality Hand Tracking System..- Evaluating Usability and Immersion in a Virtual Reality Game for Fear of Flying: A Pilot Study with a Non-Phobic Sample..- Integrating Mind-Controlled Navigation into a Virtual Reality Training System..- Virtual Reality Meets Finance: How to Enhance Understanding of Risk Diversification..- Spatialized Looming Sounds in Virtual Reality: Reaction Times and Localization Accuracy..- VR for Specific Phobias: A Perspective on Adaptive and Physiological Feedback-Based Exposure Therapy..- Bio-Adaptive Virtual Humans for Arousal Regulation: A Preliminary Study..- A Vision-Based Fiducial Object Input Device for Intuitive Interaction..- Towards optimal shift mapping heuristics for ReSTIR-SSS..- Semantic Edge Extraction by Logical Operations for Room Structure Estimation Using a Segmentation Result..- 360 Nature Hub: An open repository of 360° nature videos for research and health interventions..- Augmented and Mixed Reality..- Enhancing Operator Understanding of Circular Production Facilities through Augmented Reality: A Comparative Study..- Towards Precise Geo-Localization for Outdoor Mobile Augmented Reality - State-of-the-Art in Visual Geo-Localization..- Video Game Quality of Experience Assessment of Augmented Reality User Interface for Military Purposes..- Identifying Mobile AR Application Scenarios: A Method for Environmental Agencies..- Adaptive Interface Improving User Focus in Collaborative AR Systems..- Embodiment Under Constant Force Applied by a Force Feedback Device for Spatially Augmented Forearm..- Enhancing the atmosphere in Hybrid Restaurants: a Dining Experience Assessment with Mixed Reality..- Transforming Industrial Training: A Comparative Study of Volumetric Video in Mixed Reality and Paper-Based Instructions.

Read more less

Book Synopsis.- Transforming Research and Clinical Interventions with eXtended Reality..- Design of a multi-user closed-loop architecture focused on Virtual Reality response to multimodal inputs: A multisensory environment use case..- Cardboard VR games for rehabilitation of emotion recognition..- Expanding Perception: The Metaverse as a New Frontier in Neuropsychoncology..- Leveraging Biometric Measurements in Virtual Reality for Improving Public Speaking Skills..- An eye-controlled joystick with voice control for operating a simulated and real electric wheelchair..- Reduction in End-of-life Care Anxiety in Family Caregivers of Individuals in Palliative Care: Results of a Pilot Exploratory Study using a Canadian Virtual Reality Technology..- DUAL-REHB, a new 360° dual-task based app for rehabilitation in aging: usability study..- Design and Development of a Virtual Reality Prototype for a Smart Waiting Room Promoting Occupants' Well-Being..- Cognitive Flexibility and Metaphorical Cognition in Aging: Unlocking Cognitive Adaptability through Virtual Reality..- A Bibliometric Study on Extended Reality (ER) in Human Resource Management (HRM)..- Extended Reality (ER) Applications in Banking and Finance: A Bibliometric Analysis..- Virtual Memory Ecological Battery (V-MEB): A Pilot Study on VR-Based Assessment for Early Detection of Cognitive Decline..- Component-Based Architecture for Vital Signs Training in Virtual Reality Nursing Education..- Effects of a Pilot Virtual Reminiscence Intervention to Promote Storytelling in Older Adults with Dementia..- 360° nature videos for nursing home residents with dementia: Protocol of a randomized controlled trial..- Multimodal cyber space for healing and human interaction for hospitalized patients..- Development and evaluation of an augmented reality tool for training left atrial appendage occlusion interventions..- MiRR (Mixed Reality Rehabilitation) – Preliminary Feasibility and Usability Study Using Mixed Reality for Motor and Cognitive Rehabilitation..- VR Training for Corporate First Aid Responders.

Read more less

Book Synopsis.- Crafting Virtual Humans for Immersive XR Applications..- A Framework for Enhancing Emotion Expression in Non-Playable Characters Using Large Language Models..- MoodyNPC: Personality & Facial Expressions for Virtual Humans..- 3D Avatar Reconstruction System with Real- time Facial Expression for Teleconference Application in Augmented Reality..- SpatialFlow: Towards Interaction Design in Virtual Reality for People with Autism..- Transformation of MetaHumans for a Generic XR Workflow..- Visualization of 3D Rockfalls Trajectories on Digital Terrain Models Using Virtual Reality Techniques..- Transforming Career Development Through Immersive and Data-Driven Solutions..- A Survey of Memory Models for Virtual Humans: From Psychological Foundations to Computational Architectures..- From Words to Emotions: Evaluating Text-to-Motion Body Language for Believable Emotions in Virtual Humans..- Designing Inclusive Interfaces: Sign Language Interpreters in Digital Libraries..- Exploration of Secure Attachment Priming in Immersive Virtual Environments..- Enhancing Healthcare with 3D Technologies: Motion Capture and Animation in the MoCASA Library..- eXtended Reality for Serious Games..- CrossNetVR: A Virtual Learning Environment for Teaching T568-A and T568-B Network Cabling Standards Using Unreal Engine..- Usability Evaluation of “Paint!” VR Game Designed for Frail Older Adults..- A web-based interactive digital twin for marine robotics education..- Use of an interactive augmented reality concept map tool in education: a pilot study on teachers' opinions..- Exploiting Immersive Virtual Reality for Maintenance Training of Freight Trains..- Innovative Augmented Reality Applications for Cardiac Physiology and Pathophysiology Education: An Interactive Approach for Coronary Anatomy and Interventional Procedures..- Getting Serious About Serious VR Games for People with Dementia: A Scoping Review of Applications Designed to Date..- Development of VR Physics Labs at Metauniversity..- Concentration in Learning: VR vs. Traditional..- Dynamic Training Environments in XR: A User-Centered Adaptive System..- Using computer vision in Mixed Reality games..- Comparing Traditional and eXtended Reality-based Learning: Effects on Performance, Emotions, and Cognitive Aspects..- ReplEye: An Open-Source Pipeline for Gathering, Analyzing, and Replaying Eye-Tracking Data with MRTK..- Gamification strategies as a motivational factor for learning in high school students: a preliminary..- Development of a Multi-User Virtual Reality System for Military Band Jump Training..- Autonomous Virtual Reality Integration for Active Thermography: Engineering Education and Experimentation..- Shared Physical Feedback: A Shared VR space Integrated with Physical Feedback..- Addressing on-the field co-registration for AR assisted maintenance operation: the AURORA project..- From Gamification to Virtual Reality: The Evolution of the Gamified Education Networking Learning Management System through Design-Based Research in Simulation-Based Education..- Science Dissemination in STEAM Projects - a Virtual Reality educational game on electrical circuits..- Reviewing Virtual Reality’s Potential in CBRN Training: Synergizing AI, HCI, and Psychology for Immersive Preparedness..- VR-Based Rehabilitation in a Virtual Home: a Perspective on Cognitive and Motor Recovery..- The Role of Social and Neural Synchrony in Enhancing Learning and Collaboration in VR Serious Games: a Two-Study Protocol..- Virtual Reality Escape Room for Adolescents with Autism Spectrum Disorder..- From 2D drawings to 3D representations in immersive environments: the Sketch to Pipe app.

Read more less

Book SynopsisChapter 1: Introduction to Image Forgery.- Chapter 2: Types of Digital Image Forgery.- Chapter 3: Digital Image forgery detection techniques.- Chapter 4: Datasets and Evaluation.- Chapter 5: Challenges in Image Forgery Detection.- Chapter 6: Applications of Digital mage Forgery Detection.- Chapter 7: Future Directions.

Read more less

Book Synopsis.- Cryptography..- Multi-Signer Locally Verifiable Aggregate Signature from (Leveled) Multilinear Maps..- Conditional Attribute-based Encryption with Keyword Search for Pay-Per-Query Commercial Model..- Lightweight Transparent Zero-Knowledge Proofs for Cross-Domain Statements..- Public Verifiable Server-Aided Revocable Attribute-Based Encryption..- New First-Order Secure AES Implementation without Online Fresh Randomness Records..- SM2-VBKE: Achieving Cryptographic Binding Between Verification Integrity and Key Generation..- Certificate-Based Quasi-Linearly Homomorphic Signatures: Definition, Construction, and Application to Data Integrity Auditing..- Zero-Knowledge Protocols with PVC Security: Striking the Balance between Security and Efficiency..- Attribute-Based Adaptor Signature and Application in Control-based Atomic Swap..- A Versatile Decentralized Attribute Based Signature Scheme for IoT..- Post-quantum Cryptography..- Cross-Domain Lattice-based DAA Scheme with Shared Private-Key for Internet of Things System..- Compact Adaptively Secure Identity-Based Encryption from Middle-Product Learning with Errors..- MDKG: Module-lattice-based Distributed Key Generation..- Turtle Wins Rabbit Again: Faster Modulus Reduction for RNS-CKKS..- A BGV-subroutinted CKKS Bootstrapping Algorithm without Sine Approximation..- PolarKyber: Polished Kyber with Smaller Ciphertexts, Greater Security Redundancy, and Lower Decryption Failure Rate..- Lion: A New Ring Signature Construction from Lattice Gadget..- Anonymity and Privacy..- MagWatch: Exposing Privacy Risks in Smartwatches through Electromagnetic Signals..- Privacy-preserving, Secure and Certificate-based Integrity Auditing for Cloud Storage..- Unbalanced Private Computation on Set Intersection with Reduced Computation and Communication..- Artemis: Decentralized, Secure, and Efficient Safety Monitoring with Dynamic Trajectories..- Privacy-preserving Framework for k-modes Clustering Based on Personalized Local Differential Privacy..- AnoST: An Anonymous Optimistic Verification System Based on Off-Chain State Transition..- Privacy-Preserving K-hop Shortest Path Query on Encrypted Graphs Based on Graph Pruning..- TA-PDC: Provable Data Contribution with Traceable Anonymous for Group Transactions..- Fine-filter: An Effective Defense against Poisoning Attacks on Frequency Estimation under LDP..- BioVite: Efficient and Compact Privacy-Preserving Biometric Verification via Fully Homomorphic Encryption..- Authentication and Authorization..- Circulation Control Model and Administration for Geospatial Data..- Identifying Unusual Personal Data in Mobile Apps for Better Privacy Compliance Check..- Why Biting the Bait? Understanding Bait and Switch UI Dark Patterns in Mobile Apps.

Read more less

Book SynopsisCluster center initialization for fuzzy K-modes clustering using outlier detection technique.- Few-Shot Class-Incremental Learning via Cross-Modal Alignment with Feature Replay.- Generalizing soft actor-critic algorithms to discrete action spaces.- LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier.- Exploring Out-of-distribution Scene Text Recognition for Driving Scenes with Hybrid Test-time Adaptation.- PhaseNN: An Unsupervised and Spatial-Frequency Integrated Network for Phase Retrieval.- Sequential Transfer of Pose and Texture for Pose Guided Person Image Generation.- Balanced Clustering with Discretely Weighted Pseudo-Label.- Tensor Robust Principal Component Analysis with Hankel Structure.- Self-Distillation via Intra-class Compactness.- An Enhanced Dual-Channel-Omni-Scale 1DCNN for Fault Diagnosis.- Visual-Guided Reasoning Path Generation for Visual Question Answering.- FedGC: Federated Learning on Non-IID Data via Learning from Good Clients.- Inter-class Correlation-based Online Knowledge Distillation.- Accelerating Domain Adaptation with Cascaded Adaptive Vision Transformer.- Multistage Compression Optimization Strategies for Accelerating Diffusion Models.- Defending Adversarial Patches via Joint Region Localizing and Inpainting.- Multi-view Spectral Clustering Based on Topological Manifold Learning.- Client selection mechanism for federated learning based on class imbalance.- A New Paradigm for Enhancing Ensemble Learning through Parameter Diversification.- Adaptive Multi-Information Feature Fusion MLP with Filter Enhancement for Sequential Recommendation.- FedDCP: Personalized Federated Learning Based on Dual Classifiers and Prototypes.- AtomTool: Empowering Large Language Models with Tool Utilization Skills.- Making the Primary Task Primary: Boosting Few-Shot Classification by Gradient-biased Multi-task Learning.- Cascade Large Language Model via In-Context Learning for Depression Detection on Chinese Social Media.- TRAE : Reversible Adversarial Example with Traceability.- A Two-stage Active Domain Adaptation Framework for Vehicle Re-Identification.- FBR-FL: Fair and Byzantine-Robust Federated Learning via SPD Manifold.- SecBFL-IoV: A Secure Blockchain-Enabled Federated Learning Framework for Resilience against Poisoning Attacks in Internet of Vehicles.- Adapt and Refine: A Few-Shot Class-Incremental Learner via Pre-trained Models.- Learning Fully Parametric Subspace Clustering.- A Comprehensive Exploration on Detecting Fake Images Generated by Stable Diffusion.- Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning.- SACTGAN-EE imbalanced data processing method for credit default prediction.- FedHC: Learning Imbalanced Clusters via Federated Hierarchical Clustering.- Enhancing Time Series Classification with Explainable Time-frequency Features Representation.- Adaptive Unified Framework with Global Anchor Graph for Large-scale Multi-view Clustering.- SLRL: Structured Latent Representation Learning for Multi-view Clustering.

Read more less

Book SynopsisA Fine-grained Recurrent Network for Image Segmentation via Vector Field Guided Refinement.- Semi-supervised Medical Image Segmentation with Strong/Weak Task-aware Consistency.- Steerable Pyramid Transform Enables Robust Left Ventricle Quantification.- Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation.- MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation.- Enhancing Hippocampus Segmentation: Swin.- UNETR Model Optimization with CPS.- Uncertainty-inspired Credible Pseudo-Labeling in Semi-Supervised Medical Image Segmentation.- MFPNet: Mixed Feature Perception Network for Automated Skin Lesion Segmentation.- LD-BSAM:Combined Latent Diffusion with Bounding SAM for HIFU target region segmentation.- Hierarchical Decoder with Parallel Transformer and CNN for Medical Image Segmentation. -CLASS-AWARE CROSS PSEUDO SUPERVISION FRAMEWORK FOR SEMI-SUPERVISED MULTI-ORGAN SEGMENTATION IN ABDOMINAL CT.- SCANSAPAN: Anti-curriculum Pseudo-labelling and Adversarial Noises Training for Semi-supervised Medical Image Classification.- Multi-Modal Learning for Predicting the Progression of Transarterial Chemoembolization Therapy in Hepatocellular Carcinoma.- Growing with the help of multiple teachers: lightweight and noise-resistant student model for medical image classification.- DRA-CN: A novel Dual-Resolution Attention Capsule Network for Histopathology Image Classification.- A Mask Guided Network for Self-Supervised Low-Dose CT ImagingDental Diagnosis from X-Ray Panoramic Radiography Images: A Dataset and A Hybrid Framework.- Edge-Guided Bidirectional-Attention Residual Network for Polyp SegmentationFrom Coarse to Fine: A Novel Colon Polyp Segmentation Method Like Human Observation.- Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification.- Multi-Perspective Text-Guided Multimodal Fusion Network for Brain Tumor Segmentation.- Continual Learning for Fundus Image Segmentation.- Embedded Deep Learning Based CT Images for Rifampicin Resistant Tuberculosis Diagnosis.- Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.- Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Segmentation.- Swin-HAUnet: A Swin-Hierarchical Attention Unet For Enhanced Medical Image Segmentation.- ODC-SA Net: Orthogonal Direction Enhancement and Scale Aware Network for Polyp Segmentation.- Two-Stage Multi-Scale Feature Fusion for Small Medical Object Segmentation.- A Two-Stage Automatic Collateral Scoring Framework Based on Brain Vessel Segmentation.- SPARK: Cross-Guided Knowledge Distillation with Spatial Position Augmentation for Medical Image Segmentation.- VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation.- DTIL-Net: Dual-Task Interactive Learning Network for Automated Grading of Diabetic Retinopathy and Macular Edema.- DeformSegNet: Segmentation Network Fused with Deformation Field for Pancreatic CT Scans.- InsSegLN: A Novel 3D Instance Segmentation Method for Mediastinal Lymph NodeRRANet: A Reverse Region-Aware Network with Edge Difference for Accurate Breast Tumor Segmentation in Ultrasound ImagesLearning Frequency and Structure in UDA for Medical Object Detection.- Skin Lesion Segmentation Method Based On  Global Pixel Weighted Focal Loss.- Competing Dual-Network with Pseudo-Supervision Rectification for Semi-Supervised Medical Image Segmentation.- Dual-Branch Perturbation and Conflict-Based Scribble-Supervised Meibomian Gland Segmentation.

Read more less

Book SynopsisST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method.- Foreground-Background Partitioning and Feature Fusion for Weakly Supervised Fine-grained Image Recognition.- DARTS-CGW: Research on Differentiable Neural Architecture Search Algorithm Based on Coarse Gradient Weighting.- PanoDthNet: Depth estimation based on indoor and outdoor panoramic images.- A Supervised Domain Adaptation Method with Alignment Regularization for Low-light Facial Expression Recognition.- DiffuSaliency: Synthesizing Multi-Object Images with Masks for Semantic Segmentation Using Diffusion and Saliency Detection.- EFOA: Enhancing Out-of-Distribution Detection by Fake Outlier Augmentation.- Fine-tuning of CLIP in Few-shot Scenarios via Supervised Contrastive Learning.- A Stereo Matching Method for Specular Objects via Cascaded Network and Joint Supervision.- An Asymmetric Game Theoretic Learning Model.- Learning 360 Optical Flow using Tangent Images and Transformer.- ODAdapter: An effective method of Semi-Supervised Object Detection for Aerial Images.- Frequency-domain Transformation-based Dynamic Gesture Recognition with skeleton.- MRGN: Multiscale Relation-gated Graph Network for Entity Alignment.- Adaptive Selective Knowledge Distillation: not blindly accepting teachers as Oracles.- Periodic Iterative Segmentation-Colorization Training: Line Drawing Colorization Using Text Tag with CBAMCat.- Histogram Prediction and Equalization for Indoor Monocular Depth Estimation.- SheepNet: Rapid Sheep Face Recognition Based on Attention and Knowledge Distillation.- LPMANet:A Lightweight Partial Multilayer Aggregation Network for Tiny Drone Detection.- HiTraj: Heterogeneous Interaction Learning with Transformers for Trajectory Prediction.- Adaptive Knowledge Matching for Exemplar-Free Class-Incremental LearningFocusing on Significant Guidance: Preliminary Knowledge Guided Distillation.- ESTOR:Enumerate-Specify-Tutor Mechanism Used of Lexicon in Chinese NER.- EBSD: Short Text Sentiment Classification Using Sentence Vector Enhancement Mechanism.- CEDP-YOLO: UAV Object Detection Based on Context Enhancement and Dynamic Perception.- TLLFusion: An End-to-End Transformer-Based Method for Low-Light Infrared and Visible Image Fusion.- BD-YOLO : High-precision lightweight concrete bubble detector based on YOLOv7.- Semantic Consistency-Enhanced Refined Hashing for Fine-Grained Image Retrieval.- Frequency Feature Enhanced Mix Calibration Attention Network for Sequential Recommendation.- CFMISA: Cross-modal Fusion of Modal Invariant and Specific Representations for Multimodal Sentiment Analysis.- A Privacy-Preserving Source Code Vulnerability Detection Method.- Physically Informed Prior and Cross-Correlation Constraint for Fine-grained Road Crack Segmentation.- AFSNet: Adaptive Feature Suppression Network for Remote Sensing Image Change Detection.- BIVL-Net: Bidirectional Vision-Language Guidance for Visual Question Answering.- Enhancing Task Identification through Pseudo-OOD Features for Class-Incremental Learning.

Read more less

Book SynopsisVisual Harmony: LLM's Power in Crafting Coherent Indoor Scenes from ImagesSuperpixel Cost Volume Excitation for Stereo MatchingMulti-view Depth Estimation with Adaptive Feature Extraction and Region-Aware Depth Prediction3D Data Augmentation for Driving Scenes on CameraA Pose-Aware Auto-Augmentation Framework for 3D Human Pose and Shape Estimation from Partial Point CloudsEfficient Emotional Talking Head Generation via Dynamic 3D Gaussian RenderingGeneralizable Geometry-aware Human Radiance Modeling from Multi-view ImagesAG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene RenderingJPA: A Joint-Part Attention for Mitigating Overfocusing on 3D Human Pose EstimationRealistic and Visually-pleasing 3D Generation of Indoor Scenes from a Single ImageAttenPoint: Exploring Point Cloud Segmentation through Attention-Based ModulesMTFusion: Reconstructing Any 3D Object from Single Image Using Multi-Word Textual InversionMulti-view 3D Reconstruction by Fusing Polarization InformationQuat-DGNet: Enhancing 3D Dense Captioning with Quaternion-Based Spatial Offsets and Dynamic Neighborhood GraphsDisparity Refinement Based on Cross-Modal Feature Fusion and Global Hourglass Aggregation for Robust Stereo Matching.- Trajectory-based Calibration for Optical See-Through Head-Mounted Displays without Alignment.- Animatable Human Rendering from Monocular Video via Pose-Independent Deformation.- Maximum Spanning Tree for 3D Point Cloud RegistrationLearning the Dynamic Spatio-Temporal Relationship Between Joints for 3D Human Pose Estimation.- MaskEditor: Instruct 3D Object Editing with Learned MasksDyGASR: Dynamic Generalized Gaussian Splatting with Surface Alignment for Accelerated 3D Mesh Reconstruction.- MMIDM:Generating 3D Gesture from Multimodal Inputs with Diffusion Models.- Discriminative-guided Diffusion-based Self-supervised Monocular Depth Estimation.- Multiview Light Field Angular Super-Resolution based on View Alignment and Frequency Attention.- MagicGS: Combining 2D and 3D Priors for Effective 3D Content Generation.- ESD-Pose: Enhanced Semantic Discrimination for Generalizable 6D Pose EstimationTrans-DONeRF for Transparent Object Rendering with Mixed Depth Prior.- SFDNeRF: A Semantic Feature-Driven Few-Shot Neural Radiance Field Framework with Hybrid Regularization.- TriEn-Net: Non-parametric Representation Learning for Large-Scale Point Cloud Semantic Segmentation.- Decomposed Latent Diffusion Model for 3D Point Cloud Generation.- Learning Multi-Branch Attention Networks for 3D Face Reconstruction.- CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object DetectionCross Modality Fusion Network with Feature Alignment and Salient Object Exchange for Single Image 3D Shape Retrieval.- Enhanced Spatial Adaptive Fusion Network For Video Super-ResolutionMulti-3D Occlusion Mask Learning for Flexible Occlusion Removal in Neural Radiance Fields.- Sketch-Based 3D Shape Retrieval via Cross-Modal Contrastive Learning and Difficulty-Aware Uncertainty Regularization.- Residual Hybrid Attention Enhanced Video  Super-Resolution with Cross Convolution.- SDFReg: Learning Signed Distance Functions for Point Cloud Registration.- Unfolding Gradient Graph Regularization for Point Cloud Color Denoising.- ER-SFM: EFFICIENT AND ROBUST CLUSTER-BASED STRUCTURE FROM MOTION.- Multimodal Token Fusion and Optimization for 3D Human Mesh Reconstruction with Transformers.

Read more less

Book SynopsisScene Text Recognition via k-NN Attention-based Decoder and Margin-based Softmax LossReal-Time Text Detection with Multi-Level  Feature Fusion and Pixel ClusteringREFINED AND LOCALITY-ENHANCED FEATURE FOR HANDWRITTEN MATHEMATICAL EXPRESSION RECOGNITIONLearning Fine-grained and Semantically Aware Mamba Representations for Tampered Text Detection in ImagesDual Feature Enhanced Scene Text Recognition Method for Low-Resource UyghurSegmentation-free Todo Mongolian OCR and Its  Public DatasetHybrid Encoding Method for Scene Text Recognition in Low-Resource UyghurROBC: a Radical-Level Oracle Bone Character DatasetIntegrated Recognition of Arbitrary-Oriented Multi-Line Billet NumberImproving Scene Text Recognition with Counting Aware Contrastive Learning and Attention AlignmentGridMask: An Efficient Scheme for Real Time Curved Scene Text DetectionTibetan Handwriting Recognition Method based on Structural Re-parameterization ViT and Vertical AttentionMFH: Marrying Frequency Domain with Handwritten Mathematical Expression RecognitionLeveraging Structure Knowledge and Deep Models for the Detection of Abnormal Handwritten Text.- OCR-aware Scene Graph Generation via Multi-modal Object Representation Enhancement and Logical Bias Learning.- Enhancing Transformer-based Table Structure Recognition for Long Tables.- Show Exemplars and Tell Me What You See: In-context Learning with Frozen Large Language Models for Text.- VQAMLR-NET: an arbitrary skew angle detection algorithm for complex layout document images.- TextViTCNN: Enhancing Natural Scene Text Recognition with Hybrid Transformer and Convolutional NetworksEnhancing Visual Information Extraction with Large Language Models through Layout-aware Instruction Tuning.- SFENet: Arbitrary Shapes Scene Text Detection with Semantic Feature ExtractorImproving Zero-Shot Image Captioning Efficiency with Metropolis-Hastings Sampling.- Improving Text Classification Performance through Multimodal Representation.- A Multi-feature Fusion Approach for Words Recognition of Ancient Mongolian Documents.- TableRocket: An Efficient and Effective Framework for Table Reconstruction.- Not All Texts Are the Same: Dynamically Querying Texts for Scene Text Detection.- Multi-Modal Attention based on 2D Structured Sequence for Table Recognition.- A Two-stream Hybrid CNN-Transformer Network for Skeleton-based Human Interaction Recognition.- Skeleton-Language Pre-training to Collaborate with Self-Supervised Human Action Recognition.- Spatio-Temporal Contrastive Learning for Compositional Action RecognitionPath-Guided Motion Prediction with Multi-View Scene Perception.- Privacy-preserving Action Recognition: A Survey.- Attention-based Spatio-temporal modeling with 3D Convolutional Neural Networks for Dynamic Gesture Recognition.- MIT: Multi-cue Injected Transformer for Two-stage HOI Detection.- DIDA: Dynamic Individual-to-integrated Augmentation for Self-Supervised Skeleton-Based Action Recognition.- Multi-scale Spatial and Temporal Feature Aggregation Graph Convolutional Network for Skeleton-Based Action Recognition.- Improving Video Representation of Vision-Language Model with Decoupled Explicit Temporal Modeling.- KS-FuseNet: An efficient action recognition method based on keyframe selection and feature fusion.- Dynamic Skeleton Association Transformer for dyadic Interaction Action RecognitionSpecies-Aware Guidance for Animal Action Recognition with Vision-Language Knowledge.

Read more less

Book SynopsisBased on the authors' research in Fourier analysis, Brief Notes in Advanced DSP: Fourier Analysis with MATLAB addresses many concepts and applications of digital signal processing (DSP). The included MATLAB codes illustrate how to apply the ideas in practice.The book begins with the basic concept of the discrete Fourier transformation and its properties. It then describes lifting schemes, integer transformations, the discrete cosine transform, and the paired transform method for calculating the discrete Hadamard transform. The text also examines the decomposition of the 1D signal by so-called section basis signals as well as new forms of 2D signal/image representation and decomposition by direction signals/images. Focusing on Fourier transform wavelets and GivensHaar transforms, the last chapter discusses the problem of signal multiresolution.This book presents numerous interesting problems and concepts of unitary trTable of ContentsDiscrete Fourier Transform. Integer Fourier Transform. Cosine Transform. Hadamard Transform. Paired Transform-Based Decomposition. Fourier Transform and Multiresolution. References. Index.

Read more less

Book SynopsisIntegrating Scale in Remote Sensing and GIS serves as the most comprehensive documentation of the scientific and methodological advances that have taken place in integrating scale and remote sensing data. This work addresses the invariants of scale, the ability to change scale, measures of the impact of scale, scale as a parameter in process models, and the implementation of multiscale approaches as methods and techniques for integrating multiple kinds of remote sensing data collected at varying spatial, temporal, and radiometric scales. Researchers, instructors, and students alike will benefit from a guide that has been pragmatically divided into four thematic groups: scale issues and multiple scaling; physical scale as applied to natural resources; urban scale; and human health/social scale. Teeming with insights that elucidate the significance of scale as a foundation for geographic analysis, this book is a vital resource to those seriously involved in the field Trade Review"This book provides a new and comprehensive view of what scale means in today's rapidly advancing world of geographic information technologies. The authors and editors are some of the most reputable figures in the field, and passionate about creating more awareness of the importance of scale, and more knowledge of its properties and impacts. It is a very welcome addition to the literature on the topic, one that should be part of the library of every environmental or social scientist."—Michael F. Goodchild, University of California, Santa Barbara, USA"This book is a superb mix of theory and a wide range of impactful applications, and at the same time integrates this with modern concepts and data sources such as complexity science and crowd-sourcing. I recommend this book to readers who are keen to understand the real world, and to know how to manipulate spatial and space-time data in a principled way."—Peter M. Atkinson, Lancaster University, United Kingdom"The scale is a fundamental concept in geographical analysis, and this book addresse[s] the importance of scale in remote sensing (or broadly GIScience) from different per-spectives. This well-organized book includes four themes (13 Chapters), namely scale/multi-scaling issues, physical scale, human scale, and social scale."—Mingshu Wang, University of Twente, NetherlandsTable of ContentsIntroduction. Fundamentals of Multiscaled Remote Sensing Data for GIS Integration. Scale and Remote Sensing and GIS Integration: A Revisit of the Issues. Remote Sensing: Advances in Sensors and Data. Integration of Multispatial, Multitemporal, and Multispectral Remote Sensing Data in GIS: Progress and Challenges. Theory, Methods, and Techniques for Multiscale Data Integration. Computational and Technological Issues. Implementation of Multiscale Approaches: Methods and Examples. Modeling Methods for GIS Integration of Multiscaled Remote Sensing Data. Multiscaled Data Fusion for GIS Integration. Uncertainty and Error Analysis in Remote Sensing Data Integration with GIS. Geographic Object-Based Image Analysis. Temporal Analysis for Remote Sensing/GIS Integration. Applications of Multiscaled Remote Sensing and GIS. Approaches to Land Use/Land Change with Multiscaled Remote Sensing Data. Multiscaled Remote Sensing Data for Analysis of Landscape Heterogeneity. Environmental Modeling with Multiscaled Data. Use of Hyperspectral Data Remote Sensing Data in GIS. Analysis of Multiscaled Thermal Remote Sensing Data. Multiscaled Remote Sensing Data and GIS for Modeling Land Surface Processes. GIS, Multiscaled Remote Sensing Data for Climate Change Analysis. Integration of GPS, GIS, and Multiscaled Remote Sensing Data. Real Time Data and GIS Integration Applications. Multiscaled Remote Sensing Data, GIS Integration, and the Future. Summary. Epilogue.

Read more less

Book SynopsisThis volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.Table of ContentsPart 1: Biometric Systems And Image Processing 1. Intelligent Techniques: An Overview 2. A Survey on Artificial Intelligence Techniques Used in Bio-Metric Systems 3. Speech-Based Biometric Using Odia Phonetics 4. Deep Learning Techniques to Classify and Analyze Medical Imaging Data 5. Face Recognition System: An Overview 6. An Overview on the Concept of Speaker Recognition 7. Analysis of a Unimodal and Multimodal Biometric System Part 2: Soft Computing And Data Analytics 8. A Heuristic Approach of Parameter Tuning in a Smote-Based Preprocessing Algorithm for Imbalanced Ordinal Classification 9. Aspects of Deep Learning: Hyper-Parameter Tuning, Regularization, and Normalization 10. Super-Resolution of Reconstruction of Infrared Images Adopting Counter Neural Networks 11. High-End Tools and Technologies for Managing Data in the Age of Big Data 12. An AI-Based Chatbot Using Deep Learning Part 3: Intelligent Systems And Hybrid Systems 13. A Real-Time Data Analytics-Based Crop Diseases Recognition System 14. Image Caption Generation with Beam Search

Read more less

Book SynopsisPossibly the most comprehensive overview of computer graphics as seen in the context of geometric modelling, this two volume work covers implementation and theory in a thorough and systematic fashion. Computer Graphics and Geometric Modelling: Implementation and Algorithms, covers the computer graphics part of the field of geometric modelling and includes all the standard computer graphics topics. The first part deals with basic concepts and algorithms and the main steps involved in displaying photorealistic images on a computer. The second part covers curves and surfaces and a number of more advanced geometric modelling topics including intersection algorithms, distance algorithms, polygonizing curves and surfaces, trimmed surfaces, implicit curves and surfaces, offset curves and surfaces, curvature, geodesics, blending etc. The third part touches on some aspects of computational geometry and a few special topics such as interval analysis and finite element methods. The volume includes two companion programs.Table of ContentsIntroduction Raster Algorithms Clipping Transformations and the Graphics Pipeline Approaches to Geometric Modelling Basic Geometric Modeling Tools Visible Surface Algorithms Colour Illumination and Shading Rendering Techniques Curves in Computer Graphics Surfaces in Computer Graphics Intersection Algorithms Global Geometric Modelling Topics Local Geometric Modelling Topics Intrinsic Geometric Modelling Computational Geometry Topics Interval Analysis The Finite Element Method Quaternions Digital Image Processing Topics Chaos and Fractals Appendices: Notation Abstract Program Syntax IGES GM - AS Geometric Modelling Program - available at http://extras.springer.com (search 978-1-85233-818-3) SPACE - A Manifold Exploration Program - available at http://extras.springer.com (search 978-1-85233-818-3)

Read more less

Book SynopsisMobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation.- AIM 2024 Sparse Neural Rendering Challenge: Methods and Results.- AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark.- Unsupervised Anomaly Segmentation at High Resolution with Patch-Divide-and-Conquer and Self-Ensembling.- Compression-RQ-VQA: Leveraging Rich Quality-aware Features for Compressed Video Quality Assessment.- Learning from Strong to Weak - An Enhanced Quality Comparison Network via Efficient Transfer Learning.- Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency.- AVSal: Enhancing Video Saliency Prediction through Audio-Visual Fusion and Temporal Aggregation.- SR-VQA: Super-Resolution Video Quality Assessment Model.- AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results.- AIM 2024 Challenge on Video Saliency Prediction: Methods and Results.- Advancing Few-Shot Novel View Synthesis with Teacher-Student Guided Scene Geometry Refinement.- AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.- TASOD: A Data Collection for Tiny and Small Object Detection.- Effective Prior Regularized Sparse Learning.- AIM 2024 Challenge on UHD Blind Photo Quality Assessment.- Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results.- AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content.- Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation.- Leveraging Object Priors for Point Tracking.- PVUW 2024 Challenge on Complex Video Understanding: Methods and Results.- LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation.

Read more less

Book SynopsisThis book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks. It summarizes the available quantum image representations and their operations, reviews the possible quantum image applications and their implementation, and discusses the open questions and future development trends. It offers a valuable reference resource for graduate students and researchers interested in this emerging interdisciplinary field.Table of Contents1.Introduction and Overview.- 2. Quantum Image Representations.- 3. Quantum Image Operations.- 4. Quantum Image Security.- 5. Quantum Image Understanding.- 6. Quantum Multimedia Techniques.- 7. Summary and Discussion.

Read more less

Book SynopsisThese fifteen papers explore the ways in which recent developments in imaging, image analysis, and image display and diffusion can be applied to objects of material culture in order to enhance historians'' understanding of the period from which the objects came (in this case, the remote past). In interpreting artefacts, the historian acts out a perceptual-cognitive task of transforming often noisy and impoverished signals into semantically rich symbols that have to be set within a cultural and historical context. Engineering scientists, equipped with a range of sophisticated techniques, equipment and highly specialised knowledge, are not always as aware as they might be of the range and the exact nature of problems faced by historians in interpreting objects of material culture. By providing the opportunity for scholars from these communities to explain to each other what they are doing and how, the papers explore the ways in which the scientific contributors and the historians are thiTrade Review...a bold, original and well-illustrated collection of fifteen papers addressing state-of-the-art computer-based imaging of ancient visual culture, and it opens up a fruitful collaborative dialogue between the Humanities and the Sciences ... this volume will surely - as the Editors hoped - 'set a standard and a guideline for interdisciplinary research' * Mark Bradley, The Classical Review *Table of ContentsIntroduction ; Wooden stilus tablets from Roman Britain ; Shadow Stereo, image filtering, and constraint propagation ; Digitising cuneiform tablets ; Interpretation of ancient runic inscriptions by laser scanning ; Virtual reality, relative accuracy: modelling architecture and sculpture with VRML ; Automatic creation of virtual artefacts from video sequences ; At the foot of Pompey's statue: reconceiving Rome's theatrum lapideum ; Modelling Sagalassos: creation of a 3D archaeological virtual site ; Three-simensional laser imaging and processing in an archaeological context; ; Movements of the mental eye in pictorial space ; The potential for image analysis in numismatics ; Italian terra sigillata with applique decoration: digitising, visualising & web-publishing ; Shape from profiles ; The skull as the armature of the face: reconstructing ancient faces ; Reconstruction of a 3D mummy portrait from Roman Egypt

Read more less