Capua, R.O.[Renatha Oliva]
* 2007: Bayesian Detection of Coding Regions in DNA/RNA Sequences Through Event Factoring
Capuano, E.[Ermanno]
* 2011: Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA
Capuni, I.[Ilir]
* 2018: Police-less multi-party traffic violation detection and reporting system with privacy preservation
Includes: Capuni, I.[Ilir] Çapuni, I.[Ilir]
Capurro, C.
* 1996: Vergence and Tracking Fusing Log-Polar Images
* 1997: Dynamic Vergence Using Log-Polar Images
Capus, C.
* 2003: Fractional Fourier transform of the Gaussian and fractional domain signal support
* 2006: Fusion of Large Scale Classified Side-Scan Sonar Image Mosaics, The
Caputo, A.[Annalina]
* 2021: VR Interface for Browsing Visual Spaces at VBS2021, A
* 2022: Videofall: A Hierarchical Search Engine for VBS2022
* 2023: Scene-pathy: Capturing the Visual Selective Attention of People Towards Scene Elements
* 2023: VideoCLIP: An Interactive CLIP-based Video Retrieval System at VBS2023
Includes: Caputo, A.[Annalina] Caputo, A.[Ariel]
Caputo, B.
* 2000: Digital Mammography: Gabor Filter for Detection of Microcalcifications
* 2001: From Markov Random Fields to Associative Memories and Back: Spin Glass Markov Random Fields
* 2001: Novel Probabilistic Model for 3-D Object Recognition: Spin-Glass Markov Random Fields, A
* 2002: Robust appearance-based object recognition using a fully connected Markov random field
* 2002: To each according to its need: kernel class specific classifiers
* 2003: Recognition with local features: the kernel recipe
* 2004: Cue integration through discriminative accumulation
* 2004: Object categorization via local kernels
* 2004: On the Significance of Real-World Conditions for Material Classification
* 2004: Recognizing human actions: a local SVM approach
* 2005: Class-Specific Material Categorisation
* 2005: Integrating Representative and Discriminative Models for Object Category Detection
* 2006: Melanoma Recognition Using Representative and Discriminative Kernel Classifiers
* 2006: spin glass model of a Markov random field, A
* 2007: Indoor Place Recognition using Online Independent Support Vector Machines
* 2007: Local velocity-adapted motion events for spatio-temporal recognition
* 2008: Class Specific Object Recognition using Kernel Gibbs Distributions
* 2008: Discriminative cue integration for medical image annotation
* 2008: Object Category Detection Using Audio-Visual Cues
* 2009: In Defense of Exact Matching for Object Recognition
* 2009: more you know, the less you learn: from knowledge transfer to one-shot learning of object categories, The
* 2009: Online Framework for Learning Novel Concepts over Multiple Cues, An
* 2009: Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
* 2010: Classifying materials in the real world
* 2010: ImageCLEF: Experimental Evaluation in Visual Information Retrieval
* 2010: Learning methods for melanoma recognition
* 2010: more you learn, the less you store: Memory-controlled incremental SVM for visual place recognition, The
* 2010: OM-2: An online multi-class Multi-Kernel Learning algorithm
* 2010: On-line independent support vector machines
* 2010: Online-batch strongly convex Multi Kernel Learning
* 2010: Overview of the ImageCLEF@ICPR 2010 Robot Vision Track
* 2010: Safety in numbers: Learning categories from few examples with multi model knowledge transfer
* 2011: Large-Scale Database of Images and Captions for Automatic Face Naming, A
* 2011: Multiclass transfer learning from unconstrained priors
* 2011: Transferring activities: Updating human behavior analysis
* 2012: Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer
* 2012: Indoor Scene Recognition using Task and Saliency-driven Feature Pooling
* 2012: Leveraging over prior knowledge for online learning of visual categories
* 2013: From N to N+1: Multiclass Transfer Incremental Learning
* 2013: Frustratingly Easy NBNN Domain Adaptation
* 2014: Learning Categories From Few Examples With Multi Model Knowledge Transfer
* 2014: Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective
* 2014: Multi-source Adaptive Learning for Fast Control of Prosthetics Hand
* 2014: Scene Recognition with Naive Bayes Non-linear Learning
* 2015: Deeper Look at Dataset Bias, A
* 2015: Towards Learning Free Naive Bayes Nearest Neighbor-Based Domain Adaptation
* 2015: Transfer Learning Through Greedy Subset Selection
* 2016: Learning the Roots of Visual Domain Shift
* 2016: When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks
* 2017: AutoDIAL: Automatic Domain Alignment Layers
* 2017: Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition
* 2017: Deep Depth Domain Adaptation: A Case Study
* 2017: Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation
* 2017: On the Importance of Domain Adaptation in Texture Classification
* 2017: Scalable greedy algorithms for transfer learning
* 2017: Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers
* 2018: Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks
* 2018: Best Sources Forward: Domain Generalization through Source-Specific Nets
* 2018: Boosting Domain Adaptation by Discovering Latent Domains
* 2018: Domain Generalization with Domain-Specific Aggregation Modules
* 2018: From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN
* 2018: Looking beyond appearances: Synthetic training data for deep CNNs in re-identification
* 2019: AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs
* 2019: Automatic Creation of Large Scale Object Databases from Web Resources: A Case Study in Robot Vision
* 2019: Discovering Latent Domains for Unsupervised Domain Adaptation Through Consistency
* 2019: Domain Generalization by Solving Jigsaw Puzzles
* 2019: Hallucinating Agnostic Images to Generalize Across Domains
* 2019: Structured Domain Adaptation for 3D Keypoint Estimation
* 2019: Towards Multi-source Adaptive Semantic Segmentation
* 2020: Boosting binary masks for multi-domain learning through affine transformations
* 2020: Modeling the Background for Incremental Learning in Semantic Segmentation
* 2020: One-shot Unsupervised Cross-Domain Detection
* 2020: Towards Recognizing Unseen Categories in Unseen Domains
* 2021: Adaptive-Attentive Geolocalization from Few Queries: A Hybrid Approach
* 2021: Closer Look at Self-training for Zero-Label Semantic Segmentation, A
* 2021: Cluster-driven Graph Federated Learning over Multiple Domains
* 2021: Detecting Anomalies in Semantic Segmentation with Prototypes
* 2021: Inferring Latent Domains for Unsupervised Deep Domain Adaptation
* 2021: MultiDIAL: Domain Alignment Layers for (Multisource) Unsupervised Domain Adaptation
* 2021: N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation
* 2021: Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition
* 2021: Shape Consistent 2D Keypoint Estimation under Domain Shift
* 2021: Viewpoint Invariant Dense Matching for Visual Geolocalization
* 2022: Adversarial Branch Architecture Search for Unsupervised Domain Adaptation
* 2022: Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images
* 2022: Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images, A
* 2022: Deep Visual Geo-localization Benchmark
* 2022: Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
* 2022: Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition
* 2022: E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
* 2022: Improving Generalization in Federated Learning by Seeking Flat Minima
* 2022: Incremental Learning in Semantic Segmentation from Image Labels
* 2022: Learning Semantics for Visual Place Recognition Through Multi-scale Attention
* 2022: Modeling Missing Annotations for Incremental Learning in Object Detection
* 2022: Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
* 2022: Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation
* 2022: Relaxing the Forget Constraints in Open World Recognition
* 2022: Rethinking Visual Geo-localization for Large-Scale Applications
* 2022: Self-Supervised Learning Across Domains
* 2022: Self-supervision and meta-learning for one-shot unsupervised cross-domain detection
* 2022: Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients
* 2022: Test-Time Adaptation for Egocentric Action Recognition
* 2023: Are Local Features All You Need for Cross-Domain Visual Place Recognition?
* 2023: Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model
* 2023: Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognition
* 2023: EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
* 2023: Entropic Score metric: Decoupling Topology and Size in Training-free NAS
* 2023: FreeREA: Training-Free Evolution-based Architecture Search
* 2023: LCMV: Lightweight Classification Module for Video Domain Adaptation
* 2023: Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
* 2023: Unmasking Anomalies in Road-Scene Segmentation
* 2023: What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations
* 2023: Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning
Includes: Caputo, B. Caputo, B.[Barbara]
113 for Caputo, B.
Caputo, F.[Federico]
* 2016: From Integrated Survey to the Parametric Modeling of Degradations. A Feasible Workflow
Caputo, R.[Riccardo]
* 2022: 2021 Greece Central Crete ML 5.8 Earthquake: An Example of Coalescent Fault Segments Reconstructed from InSAR and GNSS Data, The
* 2023: Contemporaneous Thick- and Thin-Skinned Seismotectonics in the External Zagros: The Case of the 2021 Fin Doublet, Iran
Caputo, S.[Stefano]
* 2022: Bidirectional Vehicle-to-Vehicle Communication System Based on VLC: Outdoor Tests and Performance Analysis
* 2023: KeyEncoder: A secure and usable EEG-based cryptographic key generation mechanism
Caputo, T.[Teresa]
* 2019: Integration of Ground-Based Remote-Sensing and In Situ Multidisciplinary Monitoring Data to Analyze the Eruptive Activity of Stromboli Volcano in 2017-2018
* 2019: Surface Temperature Multiscale Monitoring by Thermal Infrared Satellite and Ground Images at Campi Flegrei Volcanic Area (Italy)
* 2020: Monitoring of Surface Temperature on Parco delle Biancane (Italian Geothermal Area) Using Optical Satellite Data, UAV and Field Campaigns
* 2022: Changes in the Eruptive Style of Stromboli Volcano before the 2019 Paroxysmal Phase Discovered through SOM Clustering of Seismo-Acoustic Features Compared with Camera Images and GBInSAR Data
* 2022: Remote Sensing and Mineralogical Analyses: A First Application to the Highly Active Hydrothermal Discharge Area of Pisciarelli in the Campi Flegrei Volcanic Field (Italy)
* 2024: Clusterisation and Temporal Trends of Heat Flux by UAS Thermal Camera