Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part VI / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta
| Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part VI / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta |
| Autore | Kakarla Jagadeesh |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (329 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
BalasubramanianR
MuralaSubrahmanyam VipparthiSantosh Kumar GuptaDeep |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Social sciences - Data processing Data protection Education - Data processing Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Application in Social and Behavioral Sciences Data and Information Security Computers and Education |
| ISBN | 3-031-93703-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 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. |
| Record Nr. | UNINA-9911047817103321 |
Kakarla Jagadeesh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part II / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta
| Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part II / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta |
| Autore | Kakarla Jagadeesh |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (678 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
BalasubramanianR
MuralaSubrahmanyam VipparthiSantosh Kumar GuptaDeep |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Social sciences - Data processing Data protection Education - Data processing Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Application in Social and Behavioral Sciences Data and Information Security Computers and Education |
| ISBN | 3-031-93691-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Multimodal Vision-based Hand Rehabilitation and Performance Visualization. -- Pose-Invariant 2D Face Verification by combining MICA and 2D Features. -- Robust Pedestrian Detection Via Enriched Dataset. .-AutoTagGen: A Semantic Approach for Image Tagging utilising Large Language Models and Community Verified Integrative Knowledge. -- Localizing Open World Objects Using Self-Learned Latent Keypoints. -- A Horizontal based Federated Learning approach for non-IID Data distributionin Surgical Instrument Segmentation from MIS. -- Classification of Wireless Capsule Endoscopy Abnormalities with Explainable AI. -- Effect of network sparsity in classifier performance in ASD patients: A multicenter study based on centrality measures of rsfMRI. -- Printed OCR for Extremely Low-resource Indic Languages. -- SkyGuard: Semi-Supervised Drone Technology for Real-time Traffic Rule Enforcement. -- Disp R-CNN for Personalized Care: A Deep Learning Approach to Fall Detection and Activity Recognition in AAL Systems. .-A Least Squares Generative Adversarial Neatwork with Multi-Scale Residual Block for Single Image Super-Resolution. .-Psy-H-Phy: ConvGNN-based Psychological Health Monitoring using PhysiologicalCues. -- Advancing Diabetic Retinopathy Diagnosis: The Synergy of Deep Learning Models in DR-PanopticNet System. -- Towards Safer Roads: Utilizing Synthetic Data and Neural Networks to Classify Safe Distances in Driving Scenarios. -- NightSight: Low-Light Enhancement and De-blurring. -- HyP-ECA: An Attention for Aerial Tree Crown Delineation and Species Classification. -- Leveraging Internal Representations of Model for Magnetic Image Classification. -- Enhancing Bread Spoilage Detection Through Ensemble Machine Learning Approaches. -- Economy and Explainability with Non-Separable Wavelet-based CNN and Generative Modelling. -- Comparative analysis for SAM, FastSAM, EfficientSAM, Detectron2 for Semantic Segmentation in Self driving cars. -- A Deep Learning Approach to Pneumonia Prediction through X-Ray Image Analysis. -- Efficient Deep Learning Framework for Glaucoma Detection in Color Fundus Image. -- Speckle Noise Suppression in OCT Images via Real Image Denoising Network. -- Assessing YOLOv8 and YOLOv9 for advancements in underwater object detection in the pond environment. -- Enhanced Traffic Sign Detection and Classification Using YOLOv8x & SEResNet-101x Model: A Deep Learning Approach. -- Grasp Pattern Recognition Using Convolutional Vision Transformer. -- Attire in Attention: Enhancing CCTV Surveillance with cloth-based image retrieval. -- AI Powered Video Content Moderation governed by Intensity Based Custom Rules with Remedial Pipelines. -- Unveiling Alzheimer's Risk: Leveraging Deep Learning and Attention Mechanisms for Early Detection. -- Enhancing Stone Inscription Clarity: A Hybrid Approach for Denoising in Digital StonePaleography. -- EfficientNet-Driven Framework for Precise Detection and Grading of Liver and Colon Cancer using H&E Stained Histopathological Images. -- Brain Tumor Segmentation with Federated Learning: A BraTS2020 Dataset. |
| Record Nr. | UNINA-9911047671203321 |
Kakarla Jagadeesh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part I / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta
| Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part I / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta |
| Autore | Kakarla Jagadeesh |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (666 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
BalasubramanianR
MuralaSubrahmanyam VipparthiSantosh Kumar GuptaDeep |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Social sciences - Data processing Data protection Education - Data processing Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Application in Social and Behavioral Sciences Data and Information Security Computers and Education |
| ISBN | 3-031-93688-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Navigating the Night: Robust Night Scene Semantic Segmentation for Autonomous Driving. -- DiverseCeph19: A Cephalometric Landmarks Annotation Dataset. -- Automatic Segregation of Chest X-Ray Posterior-Anterior (PA) and Anterior Posterior(AP)Projection Images using NLP. -- Object-Based Quadrant Triggering for Smart Energy Management System. -- Indian Sign Language Recognition in Complex Back- grounds: A Shifted Window Attention based Approach with Swin Transformers. -- ViziAssist: Visual Assistance for Visually Impaired Drivers. -- Improved Watermarking Approach Empowered by Deep Learning for Copyright Protection of Digital Images. -- Multi-spectral Sensing to Detect Patterned/Textured Iris Contact Lens Attacks Using Deep Iris Features. -- SemUV: Deep Learning based semantic manipulation over UV texture map of Virtual human heads. -- Correlation-based tracking cum recognition pipeline for road signs. -- Believable AI: Teaching Classifiers to Know What They Don’t Know. -- CUNIT-GAN: Constraining latent space for Unsupervised multi-domain Image-to-Image Translation via Generative Adversarial Network. -- YOLOv9++: An Improved YOLOv9 Detector for Plant Biometrics using Pseudo-Labels. -- A Transfer Learning Approach for Emotion Recognition Integrated with Cognitive Evaluation in Virtual Learning. -- Can Defence Mechanisms Restore Interpretability in an Adversarial Setting? . -- Autonomous Non-Intrusive Inspection for Risk Detection in Cargo Containers Using Deep Learning. -- Enhancing Accuracy in Indic Handwritten Text Recognition. -- Deep Feature Extraction and Feature Map Explainability for Landmark Localization in Cephalometric Radiographs. -- A Novel Hierarchical Pipeline for Fine-grained Punch Recognition in Uncontrolled Setting. -- Projection-based Perceptual Visual Quality Estimation of Point Clouds. -- DAA-Net: Enhanced DuckNet with reverse Axial Attention for endoscopy image segmentation. -- Enhancing Robotic Interaction and Navigation with Pick and Place Operations and Visual SLAM Techniques. -- Perceptually driven loss function modelling for training GAN to enhance underwater Images. -- Quantitative Assessment of Class Activation Maps: An Empirical Study on Musculoskeletal Disorders. -- Unstructured Outdoor Terrain Segmentation using SegNav for safe AGV Navigation. -- Obstacle Detection and Enhanced Safety for Self-driving Automobiles. -- Lightweight logarithmic group convolution network with polarized attention for hyperspectral image classification. -- Gender recognition of silkworm cocoons using X-ray images. -- Time-Frequency based Convolution Neural Network for Differential Morphing Attack Detection. -- RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour Detection. -- Prompt2LVideos: Exploring Prompts for Understanding Long-Form Multimodal Videos. -- First Quantization Matrix Estimation for DJPEG Images: An Adversarial Analysis. -- 3D Feature Pooling Module and Attention Mechanism for Liver and Tumor Segmentation. |
| Record Nr. | UNINA-9911047716603321 |
Kakarla Jagadeesh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part V / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta
| Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part V / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta |
| Autore | Kakarla Jagadeesh |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (712 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
BalasubramanianR
MuralaSubrahmanyam VipparthiSantosh Kumar GuptaDeep |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Social sciences - Data processing Data protection Education - Data processing Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Application in Social and Behavioral Sciences Data and Information Security Computers and Education |
| ISBN |
9783031937095
9783031937088 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 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 Lesion Classification. -- OSCMamba: Omni-directional Selective Scan Convolution Mamba for Medical Image Classification. |
| Record Nr. | UNINA-9911047816403321 |
Kakarla Jagadeesh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part IV / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta
| Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part IV / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta |
| Autore | Kakarla Jagadeesh |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (713 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
BalasubramanianR
MuralaSubrahmanyam VipparthiSantosh Kumar GuptaDeep |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Social sciences - Data processing Data protection Education - Data processing Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Application in Social and Behavioral Sciences Data and Information Security Computers and Education |
| ISBN | 3-031-93697-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Analysis of Chromatic Response of EEG Signals Induced for Primary Color Visualization. -- ReConfNET: Confidence-Driven Hierarchical Indoor Scene Reconstruction. -- On Tree Mango Fruit Yield Estimation using Graph Cuts and Depth First Search. -- Leveraging GANs for Chest X-ray Image Synthesis. -- Early Violence Recognition using Knowledge Distillation. -- MiXceptionLeaf: A Novel Model for Cassava Leaf Disease Classification Using XceptionNet and ConvMixer Layer. -- Optimizing Image Captioning using BLIP Framework with Advanced Processing of DWT LL Band-Compressed Images. -- Robust Denoising in Fringe Projection Profilometry: A Poissonian-Gaussian Approachwith Lightweight Neural Networks. -- A retinex driven fractional-order regularization model for despeckling and enhancing of Synthetic Aperture Radar images. -- Customized Self-Configuring U-Net Framework for Anatomical Lesion Segmentation in Post-Stroke Brain MRI. -- Plant Leaf Diseases classification using Knowledge Distillation Methodologies. -- TDIUC-AVQA: A Visual Question Answering Dataset in Low-Resource Assamese Language. -- Joint compression of multi-model systems for edge devices. -- VLRASN-112: A Visual Lip Reading Dataset for Assamese Compound Numeric Sequence Recognition. -- Multimodal Deep Learning Framework for Skin Lesion Classification. -- Enhancing Diagnostic Precision: AI-Based Differentiation of Brain Tumors and Multiple Sclerosis. -- CubeMin: Fingerprint Indexing Scheme using Pairwise Minutia Feature in Cubic Space. -- Unconstrained Low-Resolution Face Recognition using Attention Network and Resolution Aware Images. -- An Instance-Aware Attention Vision Transformer for Glaucoma Detection using Retinal Fundus Image Analysis. -- Improved Image data augmentation using Dynamic Mode Decomposition. -- Assessment of the Impact of D-Adaptation on Convolutional Image Classification. -- An Efficient Hybrid Feature Selection Approach for Offline Handwritten Mathematical Symbol Recognition. -- Single Image Super-Resolution: Use of Transformer with Multiple Attention modules. -- MSPlantNet: Plant Disease Classification using Few Shot Learning. -- PATROL’S PAL: Anomaly Face Recognition from Low-Quality CCTV Footage. -- Skeleton-Based Action Recognition - Dual Stream Learning of Discriminative Representations. -- Leveraging Biogeography-based Optimization for Band Selection in Hyperspectral Brain Imaging: a CNN-based Classification Framework. -- RWAEFA: Random Walk-based Artificial Electric Field Optimization Algorithm - An Application towards Feature Selection for Cytology Image Classification. -- Super-resolution Enhanced Tree Classification in Satellite Images Using Convolutional Neural Networks. -- Prediction of Short-Term Traffic Flow Using a Hybrid Architecture. -- Enhanced Semantic-Driven Anomaly Detection: A Multi-Class Strategy for Video Data. -- Activity Recognition in Smart Homes with Knowledge Graph and Attention-Guided Learning. |
| Record Nr. | UNINA-9911047814303321 |
Kakarla Jagadeesh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part III / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta
| Computer Vision and Image Processing : 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part III / / edited by Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (XXIII, 470 p. 288 illus., 210 illus. in color.) |
| Disciplina | 006 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Social sciences - Data processing Data protection Education - Data processing Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Application in Social and Behavioral Sciences Data and Information Security Computers and Education |
| ISBN | 3-031-93694-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 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. |
| Record Nr. | UNINA-9911047826703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||