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Heritage Preservation : A Computational Approach / / edited by Bhabatosh Chanda, Subhasis Chaudhuri, Santanu Chaudhury
| Heritage Preservation : A Computational Approach / / edited by Bhabatosh Chanda, Subhasis Chaudhuri, Santanu Chaudhury |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 345 p.) |
| Disciplina | 005.7 |
| Soggetto topico |
Application software
Optical data processing Information Systems Applications (incl. Internet) Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 981-10-7221-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Digital System for Heritage Preservation -- Chapter 2. Signal and Image Processing -- Chapter 3. Audio and Video Processing -- Chapter 4. Image and Video Database -- Chapter 5. Architectural Modelling and Visualization. |
| Record Nr. | UNINA-9910299305703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXVIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXVIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (501 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031781049
303178104X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimizing Personalized Robot Actions with Ranking of Trajectories -- Synthesizing operationally safe controllers for human-in-the-loop human-in-the-plant hybrid close loop systems -- Multi-Frequency Fine-Grained Matching for Audio-Visual Segmentation -- Confidence-Guided Feature Alignment for Cloth-Changing Person Re-identification -- Fair Latent Representation Learning with Adaptive Reweighing -- FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features -- One-factor Cancelable Biometric Template Protection Scheme for Real-valued Features -- Multi-Teacher Invariance Distillation for Domain-Generalized Action Recognition -- ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recognition -- Spatio-Temporal Domain-Aware Network for Skeleton-based Action Representation Learning -- Project and Pool: An Action Localization network for localizing actions in Untrimmed Videos -- Multi-Teacher Importance Preserving Knowledge Distillation for Early Violence Prediction -- Improving Temporal Action Segmentation and Detection with Hierarchical Task Grammar -- Hybrid Human Action Anomaly Detection based on Lightweight GNNs and Machine Learning -- Zero-Shot Spatio-Temporal Action Detection by Enhancing Context-Relation Capability of Vision-Language Models -- Nonlinear progressive denoising: a universal regularized denoising strategy for low PSNR images -- Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement -- Composite Concept Extraction through Backdooring -- Guided SAM: Label-Efficient Part Segmentation -- Multidimensional Cross-Reconstructed Networks for Few-Shot Fine-Grained Image Classification -- Symmetric masking strategy enhances the performance of Masked Image Modeling -- Multiplicative RMSprop using gradient normalization for learning acceleration -- TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings -- Evidential Federated Learning for Skin Lesion Image Classification -- Adaptive Text Feature Updating for Visual-Language Tracking -- TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction -- Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection -- Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels -- Environment-Independent Fusion for Robust Object Detection in Adverse Environments -- Transformer-based RGB and LiDAR Fusion for Enhanced Object Detection. |
| Record Nr. | UNINA-9910983378703321 |
Antonacopoulos Apostolos
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XV / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XV / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (530 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031783548
3031783549 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910983315403321 |
|
Antonacopoulos Apostolos
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XVIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XVIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (525 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031784569
3031784561 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910983492203321 |
|
Antonacopoulos Apostolos
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXXIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXXIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (280 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031801365
3031801369 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910983338103321 |
|
Antonacopoulos Apostolos
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXXII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXXII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (465 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031781254
3031781252 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pixel Embedding for Fractional Interpolation in Video Coding -- Scene Text Image Super-Resolution with CLIP Prior Guidance -- A Coverless Steganography of Face Privacy Protection with Diffusion Models -- CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP -- CoDeiT: Contrastive Data-efficient Transformers for Deepfake Detection -- A Lightweight and High-Fidelity Model for Generalized Audio-Driven 3D Talking Face Synthesis -- Illuminating the Dark: Unpaired Retinex and FFT-Based Low-Light Image Enhancement -- PSTNet: A Progressive Sparse Transformer Network for Image Deraining -- Frequency Modulated Deformable Transformer for Underwater Image Enhancement -- Probing Attention-Driven Normalizing Flow Network for Low-Light Image Enhancement -- A Novel Encoder-Decoder Network with Multi-domain Information Fusion for Video Deblurring -- Self-Distilled Dual-Network with Pixel Screening Loss for Blind Image Deblurring -- Complementary Dual-Branch Network for Space-Time Video Super-Resolution -- SINGLE-IMAGE DRIVEN 3D VIEWPOINT TRAINING DATA AUGMENTATION FOR EFFECTIVE LABEL RECOGNITION -- Lightweight Single Image Super-Resolution Network Integrating CNN and Transformer -- A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms -- Arbitrary Clothing Style Transfer Based on Attention Mechanism -- Approximate Cuboidization of an Orthogonal Polyhedron: A Combinatorial Approach -- Enhancing Multi-Exposure High Dynamic Range Imaging with Overlapped Codebook for Improved Representation Learning -- Deformable Multi-Scale Network for Snow Removal in Video -- Fast Orthogonal Matching Pursuit through Successive Regression -- MPGTSRN: Scene Text Image Super-Resolution Guided by Multiple Visual-Semantic Prompts -- Connecting the Dots: Isolated Trails of Detected Narrow Rivers in Multispectral Images -- Peel and Pool: The Path to Mandala Perfection -- MCANet: Multimodal Caption Aware Training-free Video Anomaly Detection via Large Language Model -- 2by2: Weakly-Supervised Learning for Global Action Segmentation -- MDFIDNet: Multi Domain Feature Integration Denoising Network -- Dynamic Resolution Guidance for Facial Expression Recognition. |
| Record Nr. | UNINA-9910983486203321 |
|
Antonacopoulos Apostolos
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part IV / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part IV / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031781285
3031781287 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | DeepEMD: A Transformer-based Fast Estimation of the Earth Mover’s Distance -- Equivariant Neural Networks for TEM Virus Images Improves Data Efficiency -- AI Based Story Generation -- Deep learning models for inference on compressed signals with known or unknown measurement matrix -- Training point-based deep learning networks for forest segmentation with synthetic data -- Brain Age Estimation using Self-attention based Convolutional Neural Network -- IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence -- Interpretable Deep Graph-level Clustering: A Prototype-based Approach -- A Saliency-Aware NR-IQA Method by Fusing Distortion Class Information -- A Guided Input Sampling-based Perturbative Approach for Explainable AI in Image-based Application -- Multi-target Attention Dispersion Adversarial Attack against Aerial Object Detector -- Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation -- Label-expanded Feature Debiasing for Single Domain Generalization -- Infrared and Visible Image Fusion Based on CNN and Transformer Cross-Interaction with Semantic Modulations -- Mining Long Short-Term Evolution Patterns for Temporal Knowledge Graph Reasoning -- Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging -- A Weighted Discrete Wavelet Transform-based Capsule Network for Malware Classification -- Data-driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting -- Automatic Diagnosis Model of Gastrointestinal Diseases Based on Tongue Images -- TinyConv-PVT: A Deeper Fusion Model of CNN and Transformer for Tiny Dataset -- SCAD-Net: Spatial-Channel Attention and Depth-map Analysis Network for Face Anti-Spoofing -- Next Generation Loss Function for Image Classification -- NAOL: NeRF-Assisted Omnidirectional Localization -- EdgeConvFormer: an unsupervised anomaly detection method for multivariate time series -- Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels -- Hand over face gesture classification with feature driven vision transformer and supervised contrastive learning -- TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering -- GraFix: A Graph Transformer with Fixed Attention based on the WL Kernel -- Multi-Modal Deep Emotion-Cause Pair Extraction for Video Corpus. |
| Record Nr. | UNINA-9910983299003321 |
|
Antonacopoulos Apostolos
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part II / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part II / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (517 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031781667
303178166X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation -- FedSOKD-TFA: Federated Learning with Stage-Optimal Knowledge Distillation and Three-Factor Aggregation -- DualViT: A Hierarchical Vision Transformer for Broad and Fine Class Embeddings -- Establishing Interconnections of Similarity-based Classifiers for Multi-label Learning with Missing Labels -- GL-TSVM: A robust and smooth twin support vector machine with guardian loss function -- An Approach Towards Learning K-means-friendly Deep Latent Representation -- PulmoNetX: A Hybrid Vision Transformer Approach for Multi-scale Spatial Feature Reduction in Pneumonia Classification -- Federated K-Means clustering -- Feature selection voting strategies and hyperparameter tuning in a boosting classification -- Advancing 3D Mesh Analysis: A Graph Learning Approach for Intersecting 3D Geometry Classification -- Efficient Classification of Histopathology Images using Highly Imbalanced Data -- GenFormer - Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets -- Recognizing Patterns of Parkinson’s Disease using Online Trail Making Test and Response Dynamics – Preliminary Study -- Regularization of Interpolation Kernel Machines -- Task Success Classification with Final State of Future Prediction for Robot Control Planning -- EGOFALLS: A visual-audio dataset and benchmark for fall detection using egocentric cameras -- Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data -- PolSAR Image Classification Using Complex-Valued Squeeze and Excitation Network -- Probabilistic Fusion Framework Combining CNNs and Graphical Models for Multiresolution Satellite and UAV Image Classification -- Multiscale Color Guided Attention Ensemble Classifier for Age-Related Macular Degeneration using Concurrent Fundus and Optical Coherence Tomography images -- PolSAR Image Classification Using Superpixel Profile and CNN -- Know How Much Sensitive Precision and Recall Validity Measures Are? -- Optimizing Software Release Management with GPT-Enabled Log Anomaly Detection -- Patch-based Prototypical Cross-Scale Attention Network for Anomaly Detection -- Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition -- Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling -- Label-Specific Multi-Label Classification with Entropy Guided Clustering -- FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification -- Fusing Image and Text Features for Scene Sentiment Analysis using Whale-Honey Badger Optimization Algorithm (WHBOA) -- EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder. |
| Record Nr. | UNINA-9910983078603321 |
|
Antonacopoulos Apostolos
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXIX / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXIX / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (499 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031781100
3031781104 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimizing Personalized Robot Actions with Ranking of Trajectories -- Synthesizing operationally safe controllers for human-in-the-loop human-in-the-plant hybrid close loop systems -- Multi-Frequency Fine-Grained Matching for Audio-Visual Segmentation -- Confidence-Guided Feature Alignment for Cloth-Changing Person Re-identification -- Fair Latent Representation Learning with Adaptive Reweighing -- FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features -- One-factor Cancelable Biometric Template Protection Scheme for Real-valued Features -- Multi-Teacher Invariance Distillation for Domain-Generalized Action Recognition -- ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recognition -- Spatio-Temporal Domain-Aware Network for Skeleton-based Action Representation Learning -- Project and Pool: An Action Localization network for localizing actions in Untrimmed Videos -- Multi-Teacher Importance Preserving Knowledge Distillation for Early Violence Prediction -- Improving Temporal Action Segmentation and Detection with Hierarchical Task Grammar -- Hybrid Human Action Anomaly Detection based on Lightweight GNNs and Machine Learning -- Zero-Shot Spatio-Temporal Action Detection by Enhancing Context-Relation Capability of Vision-Language Models -- Nonlinear progressive denoising: a universal regularized denoising strategy for low PSNR images -- Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement -- Composite Concept Extraction through Backdooring -- Guided SAM: Label-Efficient Part Segmentation -- Multidimensional Cross-Reconstructed Networks for Few-Shot Fine-Grained Image Classification -- Symmetric masking strategy enhances the performance of Masked Image Modeling -- Multiplicative RMSprop using gradient normalization for learning acceleration -- TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings -- Evidential Federated Learning for Skin Lesion Image Classification -- Adaptive Text Feature Updating for Visual-Language Tracking -- TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction -- Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection -- Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels -- Environment-Independent Fusion for Robust Object Detection in Adverse Environments -- Transformer-based RGB and LiDAR Fusion for Enhanced Object Detection. |
| Record Nr. | UNINA-9910983079903321 |
|
Antonacopoulos Apostolos
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XIX / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XIX / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (526 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031784958
3031784952 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910983086103321 |
|
Antonacopoulos Apostolos
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
