Index for gund

Gund, M.[Manasi] * 2021: Interpretable Emotion Classification Using Temporal Convolutional Models

Gunda, A.[Akshaykumar] * 2020: Multi-Organ Nucleus Segmentation Challenge, A

Gunda, K. * 2014: Mobile ISR: Intelligent ISR management and exploitation for the expeditionary warfighter
* 2014: Optimized Transform Coding for Approximate KNN Search
Includes: Gunda, K. Gunda, K.[Kiran]

Gundacker, S.[Stefan] * 2023: SNR of Positron Emission Data With Gaussian and Non-Gaussian Time-of-Flight Kernels, With Application to Prompt Photon Coincidence, The

Gundale, V.A.[Virajit A.] * 2013: efficient modified structure of CDF 9/7 Wavelet based on adaptive lifting with SPIHT for lossy to lossless image compression, An
* 2013: Performance evaluation of traditional and adaptive lifting based wavelets with SPIHT for lossy image compression

Gundavarapu, N.[Nitesh] * 2021: OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets

Gundavarapu, N.B. * 2019: Multi-Person 3D Human Pose Estimation from Monocular Images
* 2020: Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation

Gundecha, V.[Vineet] * 2023: RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning
* 2023: Robustness with Query-efficient Adversarial Attack using Reinforcement Learning
* 2024: Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness

Gundelfinger, E. * 2001: 3D Edge Detection to Define Landmarks for Point-based Warping in Brain Imaging

Gundelfinger, E.D. * 1996: Spatial Based Polynomial 2D-Warping: A Possibility to Reduce Interindividual Variations in Functional Neuroimaging
* 2002: Performance of 3D landmark detection methods for point-based warping in autoradiographic brain imaging

Gundelwein, L. * 2021: Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability

Gundermann, N.[Niels] * 2024: Object Identification in Land Parcels Using a Machine Learning Approach

Gundersen, G.[Gillian] * 2020: US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC): 1-m Pixel Land Cover Class Definitions and Guidance

Gundersen, O.E.[Odd Erik] * 2023: Use of Decision Support in Search and Rescue: A Systematic Literature Review, The

Gundersen, R.[Rune] * 2018: Geometric, Environmental and Hardware Error Sources of a Ground-Based Interferometric Real-Aperture FMCW Radar System
* 2018: Ground-Based Differential Interferometric Radar Monitoring of Unstable Mountain Blocks in a Coastal Environment

Gundersen, S.C.[Steven C.] * 1988: Signature verification algorithm

Gunderson, K. * 2006: Laser Altimeter Performance Model and Its Application to BELA, A

Gunderson, S.H.[Steinar H.] * 2012: Size Matters: Exhaustive Geometric Verification for Image Retrieval

Gundewar, A.[Akshay] * 2023: Social Psychology Inspired Distributed Ledger Technique for Anomaly Detection in Connected Vehicles

Gundimada, S.[Satyanadh] * 2004: Face detection technique based on intesity and skin color distribution
* 2005: Adaptive confidence level assignment to segmented human face regions for improved face recognition
* 2005: Face Alignment and Adaptive Weight Assignment for Robust Face Recognition
* 2005: improved SNoW based classification technique for head-pose estimation and face detection, An
* 2005: Pose Angle Determination by Face, Eyes and Nose Localization
* 2006: Adaptive Weight Assignment Scheme in Linear Subspace Approaches for Face Recognition, An
* 2009: Facial Recognition Using Multisensor Images Based on Localized Kernel Eigen Spaces
Includes: Gundimada, S.[Satyanadh] Gundimada, S.
7 for Gundimada, S.

Gundlach, C. * 2015: Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data
* 2018: Layered Surface Detection for Virtual Unrolling

Gundlegard, D.[David] * 2020: Integrated tracking and route classification for travel time estimation based on cellular network signalling data
Includes: Gundlegard, D.[David] Gundlegård, D.[David]

Gundogan, M.M.[Meryem Mine] * 2023: IR Reasoner: Real-time Infrared Object Detection by Visual Reasoning
Includes: Gundogan, M.M.[Meryem Mine] Gündogan, M.M.[Meryem Mine] (Maybe also Guendogan, M.M.)

Gundogan, R. * 2017: Determination of the Actual Land Use Pattern Using Unmanned Aerial Vehicles And Multispectral Camera
* 2017: Generation And Assessment of High Resolution Digital Surface Model By Using Unmanned Air Vehicle Based Multicopter
* 2017: Monitoring And Estimation of Soil Losses From Ephemeral Gully Erosion In Mediterranean Region Using Low Altitude Unmanned Aerial Vehicles
Includes: Gundogan, R. Gündogan, R. (Maybe also Guendogan, R.)

Gundogan, U.[Utku] * 2021: Computational Spectral Imaging With Diffractive Lenses and Spectral Filter Arrays

Gundogdu, B. * 2019: Generative RNNs for OOV Keyword Search
* 2020: Collaborative similarity metric learning for face recognition in the wild
Includes: Gundogdu, B. Gundogdu, B.[Batuhan]

Gundogdu, E.[Erhan] * 2012: Feature detection and matching towards augmented reality applications on mobile devices
* 2015: Comparison of infrared and visible imagery for object tracking: Toward trackers with superior IR performance
* 2015: Multiple model adaptive visual tracking with correlation filters
* 2016: Ensemble Of adaptive correlation filters for robust visual tracking
* 2016: Evaluation of Feature Channels for Correlation-Filter-Based Visual Object Tracking in Infrared Spectrum
* 2016: MARVEL: A Large-Scale Image Dataset for Maritime Vessels
* 2016: Object classification in infrared images using deep representations
* 2016: Visual Object Tracking VOT2016 Challenge Results, The
* 2017: Extending Correlation Filter-Based Visual Tracking by Tree-Structured Ensemble and Spatial Windowing
* 2017: Multiscale Shannon's Entropy Modeling of Orientation and Distance in Steel Fiber Micro-Tomography Data
* 2017: Visual Object Tracking VOT2017 Challenge Results, The
* 2018: Fine-grained recognition of maritime vessels and land vehicles by deep feature embedding
* 2018: Good Features to Correlate for Visual Tracking
* 2018: Sixth Visual Object Tracking VOT2018 Challenge Results, The
* 2019: GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping
* 2019: Quadruplet Selection Methods for Deep Embedding Learning
* 2020: Shape Reconstruction by Learning Differentiable Surface Representations
* 2021: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
* 2022: ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
* 2022: GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss
Includes: Gundogdu, E.[Erhan] Gundogdu, E. Gündogdu, E.[Erhan] (Maybe also Guendogdu, E.)
20 for Gundogdu, E.

Gundogdu, K.S.[Kemal Sulhi] * 2020: Spatiotemporal Assessment of Irrigation Performance of the Kou Valley Irrigation Scheme in Burkina Faso Using Satellite Remote Sensing-Derived Indicators
Includes: Gundogdu, K.S.[Kemal Sulhi] Gündogdu, K.S.[Kemal Sulhi] (Maybe also Guendogdu, K.S.)

Gundra, H.[Hartmut] * 2014: GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues
* 2016: Geospatial Analysis of the Building Heat Demand and Distribution Losses in a District Heating Network
Includes: Gundra, H.[Hartmut] Gündra, H.[Hartmut] (Maybe also Guendra, H.)

Gundry, M.[Michael] * 2017: Patch-based corner detection for cervical vertebrae in X-ray images

Gunduz Demir, C.[Cigdem] * 2009: Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection
* 2010: Qualitative test-cost sensitive classification
* 2010: Unsupervised Tissue Image Segmentation through Object-Oriented Texture
* 2011: Graph Run-Length Matrices for Histopathological Image Segmentation
* 2013: Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images
* 2013: Hybrid Classification Model for Digital Pathology Using Structural and Statistical Pattern Recognition, A
* 2015: Two-Tier Tissue Decomposition for Histopathological Image Representation and Classification
* 2019: Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images
* 2020: AttentionBoost: Learning What to Attend for Gland Segmentation in Histopathological Images by Boosting Fully Convolutional Networks
* 2023: MTFD-Net: Left atrium segmentation in CT images through fractal dimension estimation
Includes: Gunduz Demir, C.[Cigdem] Gunduz-Demir, C.[Cigdem] Gunduz-Demir, C.
10 for Gunduz Demir, C.

Gunduz, A. * 2003: Facial feature extraction using topological methods
* 2019: Resource Efficient 3D Convolutional Neural Networks

Gunduz, A.E.[Ayse Elvan] * 2014: Local anomaly detection in crowded scenes using Finite-Time Lyapunov Exponent based clustering
* 2014: Pedestrian zone anomaly detection by non-parametric temporal modelling
* 2016: Density aware anomaly detection in crowded scenes

Gunduz, D. * 2018: Privacy-Aware Smart Metering: Progress and Challenges
* 2023: Neural Distributed Image Compression with Cross-Attention Feature Alignment
Includes: Gunduz, D. Gündüz, D.[Deniz] (Maybe also Guenduez, D.)

Gunduz, M. * 2016: Review Of Recent Research In Indoor Modelling & Mapping, A

Gundy, J.[James] * 2015: High Performance Remote Sensing Product Generation System Based on a Service Oriented Architecture for the Next Generation of Geostationary Operational Environmental Satellites, A

Index for "g"