Index for belo

Belo, D.[David] * 2011: Topographic EEG Brain Mapping before, during and after Obstructive Sleep Apnea Episodes

Belo, J.[Joao] * 2021: Using Sentinel-2 Images to Estimate Topography, Tidal-Stage Lags and Exposure Periods over Large Intertidal Areas
Includes: Belo, J.[Joao] Belo, J.[João]

Belo, J.R.[Joao Ricardo] * 2022: Combining Multispectral and Radar Imagery with Machine Learning Techniques to Map Intertidal Habitats for Migratory Shorebirds
Includes: Belo, J.R.[Joao Ricardo] Belo, J.R.[João Ricardo]

Belo, R.[Raquel] * 2023: Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography

Beloborodov, D. * 2017: Foreground Detection On Depth Maps Using Skeletal Representation Of Object Silhouettes

Beloborodov, D.E.[Denis E.] * 2020: Mud Volcanism at the Taman Peninsula: Multiscale Analysis of Remote Sensing and Morphometric Data

Beloglazov, I.N. * 1997: Stereoscopic Navigation System, A

Beloiu, M.[Mirela] * 2023: Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning

Belokonov, I.V. * 2021: Cubesat Onboard Algorithm for Space Debris Motion Determination By Processing Stereo Images

Belongie, S. * 1994: Rotation invariant texture recognition using a steerable pyramid
* 1996: Finding Objects in Image Databases by Grouping
* 1996: Finding Pictures of Objects in Large Collections of Images
* 2002: On the non-optimality of four color coding of image partitions
* 2003: What went where
* 2005: Big Little Icons
* 2015: Learning deep representations for ground-to-aerial geolocalization
* 2015: Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences
* 2016: Context Matters: Refining Object Detection in Video with Recurrent Neural Networks
* 2016: Visipedia circa 2015
* 2017: BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
* 2017: Conditional Similarity Networks
* 2017: Detecting Oriented Text in Natural Images by Linking Segments
* 2017: Feature Pyramid Networks for Object Detection
* 2018: Controllable Video Generation with Sparse Trajectories
* 2018: Convolutional Networks with Adaptive Inference Graphs
* 2018: Deep Fundamental Matrix Estimation Without Correspondences
* 2018: DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
* 2018: Generative Adversarial Perturbations
* 2018: ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)
* 2018: iNaturalist Species Classification and Detection Dataset, The
* 2018: Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
* 2018: Lean Multiclass Crowdsourcing
* 2018: Learning Single-View 3D Reconstruction with Limited Pose Supervision
* 2018: Learning to Evaluate Image Captioning
* 2018: Multimodal Unsupervised Image-to-Image Translation
* 2018: Separating Self-Expression and Visual Content in Hashtag Supervision
* 2018: Vision-based real estate price estimation
* 2019: Class-Balanced Loss Based on Effective Number of Samples
* 2019: Enhancing Adversarial Example Transferability With an Intermediate Level Attack
* 2019: iMaterialist Fashion Attribute Dataset, The
* 2019: PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows
* 2019: Understanding Image Quality and Trust in Peer-to-Peer Marketplaces
* 2020: Convolutional Networks with Adaptive Inference Graphs
* 2020: DualSDF: Semantic Shape Manipulation Using a Two-Level Representation
* 2020: End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
* 2020: Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
* 2020: Learning Gradient Fields for Shape Generation
* 2020: Metric Learning Reality Check, A
* 2020: Neural Puppet: Generative Layered Cartoon Characters
* 2020: Transfer learning in computer vision tasks: Remember where you come from
* 2021: Benchmarking Representation Learning for Natural World Image Collections
* 2021: Exploring Visual Engagement Signals for Representation Learning
* 2021: GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
* 2021: Intentonomy: a Dataset and Study towards Human Intent Understanding
* 2021: LUAI Challenge 2021 on Learning to Understand Aerial Images
* 2021: On Feature Normalization and Data Augmentation
* 2021: OVIS: Occluded Video Instance Segmentation
* 2021: Robustness and Generalization via Generative Adversarial Training
* 2021: Spatiotemporal Contrastive Video Representation Learning
* 2021: Stay Positive: Non-Negative Image Synthesis for Augmented Reality
* 2022: Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
* 2022: Fine-Grained Image Analysis with Deep Learning: A Survey
* 2022: Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization
* 2022: Neural Image Recolorization for Creative Domains
* 2022: Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
* 2022: Occluded Video Instance Segmentation: A Benchmark
* 2022: On Label Granularity and Object Localization
* 2022: Sitta: Single Image Texture Translation for Data Augmentation
* 2022: Text-driven Stylization of Video Objects
* 2022: Visual Prompt Tuning
* 2022: When Does Contrastive Visual Representation Learning Work?
* 2023: Discriminative Class Tokens for Text-to-Image Diffusion Models
* 2024: Assessing Neural Network Robustness via Adversarial Pivotal Tuning
* 2024: Volumetric Disentanglement for 3D Scene Manipulation
Includes: Belongie, S. Belongie, S.[Serge]
65 for Belongie, S.

Belongie, S.J.[Serge J.] * 1994: Overcomplete Steerable Pyramid Filters and Rotation Invariance
* 1997: Region-Based Image Querying
* 1998: Color- and Texture-Based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval
* 1998: Finding Boundaries in Natural Images: A New Method Using Point Descriptors and Area Completion
* 1998: Image and video segmentation: the normalized cut framework
* 1999: Blobworld: A System for Region-Based Image Indexing and Retrieval
* 1999: Textons, Contours and Regions: Cue Integration in Image Segmentation
* 2000: Fingerprint recognition system
* 2000: Matching with shape contexts
* 2000: Model-based Halftoning for Color Image Segmentation
* 2001: Contour and Texture Analysis for Image Segmentation
* 2001: Efficient Spatiotemporal Grouping Using the Nyström Method
* 2001: Matching Shapes
* 2001: Shape Contexts Enable Efficient Retrieval of Similar Shapes
* 2002: Approximate Thin Plate Spline Mappings
* 2002: Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
* 2002: Shape Matching and Object Recognition Using Shape Contexts
* 2002: Spectral Partitioning with Indefinite Kernels Using the Nyström Extension
* 2004: Feature-Based Approach for Determining Dense Long Range Correspondences, A
* 2004: Fingerprint recognition system
* 2004: Normalized Cuts in 3-D for Spinal MRI Segmentation
* 2004: On Refractive Optical Flow
* 2004: Spectral Grouping Using the Nystrom Method
* 2004: Structure from Periodic Motion
* 2005: Behavior recognition via sparse spatio-temporal features
* 2005: Beyond Pairwise Clustering
* 2005: Efficient Shape Matching Using Shape Contexts
* 2005: Periodic Motion Detection and Segmentation via Approximate Sequence Alignment
* 2005: Tracking Multiple Mouse Contours (without Too Many Samples)
* 2006: Active Learning in Face Recognition: Using Tracking to Build a Face Model
* 2006: Counting Crowded Moving Objects
* 2006: Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion, A
* 2006: Improving Web-Based Image Search via Content Based Clustering
* 2006: Model Order Selection and Cue Combination for Image Segmentation
* 2006: Practical Global Optimization for Multiview Geometry
* 2006: Structure and View Estimation for Tomographic Reconstruction: A Bayesian Approach
* 2006: Supervised Learning of Edges and Object Boundaries
* 2006: Vision in the Small: Reconstructing the Structure of Protein Macromolecules from Cryo-Electron Micrographs
* 2007: Feature Mining for Image Classification
* 2007: Fingerprint recognition system
* 2007: Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration
* 2007: Objects in Context
* 2007: Recognizing Groceries in situ Using in vitro Training Data
* 2007: Soylent Grid: It's Made of People
* 2007: Task Specific Local Region Matching
* 2008: Multiple Component Learning for Object Detection
* 2008: Object categorization using co-occurrence, location and appearance
* 2008: Practical Global Optimization for Multiview Geometry
* 2008: Re-thinking non-rigid structure from motion
* 2008: Simultaneous Learning and Alignmennt: Multi-Instance and Multi-Pose Learning
* 2008: Weakly Supervised Object Localization with Stable Segmentations
* 2009: BUBL: An effective region labeling tool using a hexagonal lattice
* 2009: family of online boosting algorithms, A
* 2009: Fingerprint recognition system performance in the maritime environment
* 2009: Integral Channel Features
* 2009: Linear embeddings in non-rigid structure from motion
* 2009: Scenes vs. objects: A comparative study of two approaches to context based recognition
* 2009: Similarity metrics for categorization: From monolithic to category specific
* 2009: Visual tracking with online Multiple Instance Learning
* 2010: Context based object categorization: A critical survey
* 2010: Fastest Pedestrian Detector in the West, The
* 2010: Globally Optimal Algorithms for Stratified Autocalibration
* 2010: Multi-class object localization by combining local contextual interactions
* 2010: Removing pedestrians from Google street view images
* 2010: Toward real-time grocery detection for the visually impaired
* 2010: Visual Recognition with Humans in the Loop
* 2010: Word Spotting in the Wild
* 2011: End-to-end scene text recognition
* 2011: From region similarity to category discovery
* 2011: JBoost Optimization of Color Detectors for Autonomous Underwater Vehicle Navigation
* 2011: Multiclass recognition and part localization with humans in the loop
* 2011: Pose, illumination and expression invariant pairwise face-similarity measure via Doppelgänger list comparison
* 2011: Robust Object Tracking with Online Multiple Instance Learning
* 2011: Strong supervision from weak annotation: Interactive training of deformable part models
* 2012: Non-rigid surface detection for gestural interaction with applicable surfaces
* 2012: Urban tribes: Analyzing group photos from a social perspective
* 2013: Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop
* 2013: Camera Distance from Face Images
* 2013: Cross-View Image Geolocalization
* 2013: Efficient Large-Scale Structured Learning
* 2013: Example based depth from fog
* 2013: Face Box Shape and Verification
* 2013: From Bikers to Surfers: Visual Recognition of Urban Tribes
* 2013: Match-time covariance for descriptors
* 2013: Relative ranking of facial attractiveness
* 2013: Ultra-wide Baseline Aerial Imagery Matching in Urban Environments
* 2014: Analyzing sedentary behavior in life-logging images
* 2014: Editorial: Special Issue on Active and Interactive Methods in Computer Vision
* 2014: Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition
* 2014: Fast Feature Pyramids for Object Detection
* 2014: Ignorant Led by the Blind: A Hybrid Human-Machine Vision System for Fine-Grained Categorization, The
* 2014: Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets
* 2014: Improving streaming video segmentation with early and mid-level visual processing
* 2014: Microsoft COCO: Common Objects in Context
* 2014: Recognizing locations with Google Glass: A case study
* 2014: Similarity Comparisons for Interactive Fine-Grained Categorization
* 2014: Video text detection and recognition: Dataset and benchmark
* 2015: Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
* 2015: Discriminative Regions: A Substrate for Analyzing Life-Logging Image Sequences
* 2015: Learning Concept Embeddings with Combined Human-Machine Expertise
* 2015: Learning Localized Perceptual Similarity Metrics for Interactive Categorization
* 2016: Boosted Convolutional Neural Networks
* 2016: Can we still avoid automatic face detection?
* 2016: Detecting temporally consistent objects in videos through object class label propagation
* 2016: Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop
* 2016: Learning to Detect and Match Keypoints with Deep Architectures
* 2016: Learning to Match Aerial Images with Deep Attentive Architectures
* 2017: Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization
* 2017: Kernel Pooling for Convolutional Neural Networks
* 2017: Learning from Noisy Large-Scale Datasets with Minimal Supervision
* 2017: Stacked Generative Adversarial Networks
Includes: Belongie, S.J.[Serge J.] Belongie, S.J.
111 for Belongie, S.J.

Belonosov, A.[Andrei] * 2022: Fluid Migration through Permafrost and the Pool of Greenhouse Gases in Frozen Soils of an Oil and Gas Field

Belotserkovsky, A. * 2008: structure analysis of ultra thin magnetic film images, The

Belotti, C. * 2003: application of tomographic reconstruction of atmospheric CO2 over a volcanic site based on open-path IR laser measurements, An
* 2020: FORUM Earth Explorer 9: Characteristics of Level 2 Products and Synergies with IASI-NG
* 2021: Distributed Modular Data Processing Chain Applied to Simulated Satellite Ozone Observations, A
Includes: Belotti, C. Belotti, C.[Claudio]

Belotti, M. * 2014: Requirements and Tests for Phase Preservation in a SAR Processor
* 2015: Sentinel-1A: Analysis of FDBAQ Performance on Real Data

Belouadah, E.[Eden] * 2018: DeeSIL: Deep-Shallow Incremental Learning
* 2019: IL2M: Class Incremental Learning With Dual Memory
* 2020: ScaIL: Classifier Weights Scaling for Class Incremental Learning
* 2021: Avalanche: an End-to-End Library for Continual Learning
* 2022: Dataset Knowledge Transfer for Class-Incremental Learning without Memory

Belouchrani, A. * 2004: Multiplicative multiresolution decomposition for 2D signals: application to speckle reduction in sar images
* 2015: Separation of Dependent Autoregressive Sources Using Joint Matrix Diagonalization
* 2024: Generalized Unitary Joint Diagonalization Algorithm Based on Approximate Givens Rotations
Includes: Belouchrani, A. Belouchrani, A.[Adel]

Belous, G. * 2016: Segmentation of the Left Ventricle in Echocardiography Using Contextual Shape Model
* 2021: Dual subspace discriminative projection learning
* 2023: DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations
Includes: Belous, G. Belous, G.[Gregg]

Belousov, A.[Alexander] * 2019: Deformations and Morphology Changes Associated with the 2016-2017 Eruption Sequence at Bezymianny Volcano, Kamchatka
* 2020: 2019 Eruption Dynamics and Morphology at Ebeko Volcano Monitored by Unoccupied Aircraft Systems (UAS) and Field Stations, The

Belousov, B.[Boris] * 2023: Continuous-Time Fitted Value Iteration for Robust Policies

Belousov, I.R.[Igor R.] * 2006: Integration of a Virtual Environment and 3D Modeling Tools in a Networked Robot System, The

Belousov, Y. * 2022: Authentication Of Copy Detection Patterns Under Machine Learning Attacks: A Supervised Approach

Belousova, A.[Anna] * 2021: Landslide-Induced Mass Transport of Radionuclides along Transboundary Mailuu-Suu River Networks in Central Asia

Belousova, M.[Marina] * 2019: Deformations and Morphology Changes Associated with the 2016-2017 Eruption Sequence at Bezymianny Volcano, Kamchatka
* 2020: 2019 Eruption Dynamics and Morphology at Ebeko Volcano Monitored by Unoccupied Aircraft Systems (UAS) and Field Stations, The

Belov, R.[Roman] * 2018: Combining 3D Model Contour Energy and Keypoints for Object Tracking

Belov, V.V.[Vladimir V.] * 2023: Algorithm for the Reconstruction of the Ground Surface Reflectance in the Visible and Near IR Ranges from MODIS Satellite Data with Allowance for the Influence of Ground Surface Inhomogeneity on the Adjacency Effect and of Multiple Radiation Reflection

Belova, E.I.[Elena I.] * 2022: Natural Afforestation on Abandoned Agricultural Lands during Post-Soviet Period: A Comparative Landsat Data Analysis of Bordering Regions in Russia and Belarus

Belova, N.[Nataliya] * 2018: Dynamics of Permafrost Coasts of Baydaratskaya Bay (Kara Sea) Based on Multi-Temporal Remote Sensing Data
* 2023: Dynamics of Low-Lying Sandy Coast of the Gydan Peninsula, Kara Sea, Russia, Based on Multi-Temporal Remote Sensing Data

Index for "b"


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