Verm, M.[Mathieu]
* 2021: Regularization via Deep Generative Models: An Analysis Point of View
Verma, A.[Ashish]
* 2000: Cascade Image Transform for Speaker Independent Automatic Speech Reading, A
* 2000: Translingual visual speech synthesis
* 2002: Speech driven lip synthesis using viseme based hidden markov models
* 2004: Translingual visual speech synthesis
* 2007: Locally adaptive block thresholding method with continuity constraint
* 2008: Multilevel thresholding for image segmentation through a fast statistical recursive algorithm
* 2015: Pedestrian Detection via Mixture of CNN Experts and Thresholded Aggregated Channel Features
* 2017: Snowpack Density Retrieval Using Fully Polarimetric TerraSAR-X Data in the Himalayas
* 2017: Telecom Inventory Management via Object Recognition and Localisation on Google Street View Images
* 2018: Intelligent plankton image classification with deep learning
* 2020: Improving the affordability of robustness training for DNNs
* 2020: Large-scale scene image categorisation with deep learning-based model
* 2020: New colour fusion deep learning model for large-scale action recognition
* 2020: Photometric Depth Super-Resolution
* 2022: Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos
* 2023: Aeriform in-action: A novel dataset for human action recognition in aerial videos
* 2023: Built-up area mapping using Sentinel-1 SAR data
* 2023: Estimated Depth Based Progressive Interactive Framework for RGB Salient Object Detection in Images
* 2023: Image Captioning with Reinforcement Learning
* 2023: Unsupervised Domain Adaptation for Person Re-Identification Via Individual-Preserving and Environmental-Switching Cyclic Generation
Includes: Verma, A.[Ashish] Verma, A. Verma, A.[Ashutosh] Verma, A.[Abhishek] Verma, A.[Alok] Verma, A.[Amandeep] Verma, A.[Abhinav] Verma, A.[Anand] Verma, A.[Astha]
20 for Verma, A.
Verma, A.K.[Amit Kumar]
* 2016: Classification of Liss IV Imagery Using Decision Tree Methods
* 2018: Image Denoising using Alexander Fractional Hybrid Filter
Includes: Verma, A.K.[Amit Kumar] Verma, A.K.[Atul Kumar]
Verma, A.P.
* 2013: Modeling and Prediction of Rainfall Using Radar Reflectivity Data: A Data-Mining Approach
Verma, B.
* 2001: Analysis of segmentation performance on the CEDAR benchmark database
* 2001: Fusion of multiple handwritten word recognition techniques
* 2001: Texture Feature Extraction and Classification
* 2003: contour code feature based segmentation for handwriting recognition, A
* 2003: neural-evolutionary approach for feature and architecture selection in online handwriting recognition, A
* 2003: novel feature extraction technique for the recognition of segmented handwritten characters, A
* 2004: Novel Approach for Structural Feature Extraction: Contour vs. Direction, A
* 2005: Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection
* 2005: novel context matching based technique for Web document retrieval, A
* 2007: investigation of the modified direction feature for cursive character recognition, An
* 2009: novel soft cluster neural network for the classification of suspicious areas in digital mammograms, A
* 2012: Binary segmentation algorithm for English cursive handwriting recognition
* 2015: Class-Semantic Textons with Superpixel Neighborhoods for Natural Roadside Vegetation Classification
* 2016: Automated mango flowering assessment via refinement segmentation
* 2016: Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows
* 2016: Impact of Automatic Feature Extraction in Deep Learning Architecture
* 2016: Spatial contextual superpixel model for natural roadside vegetation classification
* 2017: Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation
* 2018: Convolutional Neural Network Based Deep Learning Technique for Identifying Road Attributes, A
* 2018: Facial Expression Analysis under Partial Occlusion: A Survey
* 2018: Framework for dynamic hand gesture recognition using Grassmann manifold for intelligent vehicles
* 2019: Learning and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety
* 2020: Class Probability-based Visual and Contextual Feature Integration for Image Parsing
* 2020: Multiple strong and balanced cluster-based ensemble of deep learners
* 2020: optimisation Technique for the Detection of Safety Attributes Using Roadside Video Data, An
* 2021: Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing
* 2021: Multi-stage Deep Learning Technique for Improving Traffic Sign Recognition
* 2022: Evaluation of Simulated AVIRIS-NG Imagery Using a Spectral Reconstruction Method for the Retrieval of Leaf Chlorophyll Content
* 2022: two stream convolutional neural network with bi-directional GRU model to classify dynamic hand gesture, A
* 2023: CAT-CapsNet: A Convolutional and Attention Based Capsule Network to Detect the Driver's Distraction
* 2023: Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph
Includes: Verma, B. Verma, B.[Brijesh] Verma, B.[Bindu] Verma, B.[Bhagyashree]
31 for Verma, B.
Verma, D.
* 2018: Automatic Cricket Highlight Generation Using Event-Driven and Excitement-Based Features
* 2021: Identifying Streetscape Features Using VHR Imagery and Deep Learning Applications
* 2022: Met-MLTS: Leveraging Smartphones for End-to-End Spotting of Multilingual Oriented Scene Texts and Traffic Signs in Adverse Meteorological Conditions
Includes: Verma, D. Verma, D.[Deepank] Verma, D.[Deepali]
Verma, D.K.[Dinesh Kumar]
* 2023: Why Big Data and Data Analytics for Smart City
Verma, E.
* 2016: DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention
Verma, G.[Gunjan]
* 2023: Information Flow Optimization for Estimation in Linear Models Using a Sensor Network
Verma, G.K.[Gyanendra K.]
* 2011: Emotion recognition based on texture analysis of facial expression
Verma, H.[Hanuman]
* 2014: Improved fuzzy entropy clustering algorithm for MRI brain image segmentation
* 2017: Multidimensional Compression of ITS Data Using Wavelet-Based Compression Techniques
* 2019: modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree, A
Includes: Verma, H.[Hanuman] Verma, H.
Verma, I.[Ishan]
* 2015: Event Detection from Business News
Verma, K.[Kunal]
* 2001: Image Analysis for High Throughput Genomics
* 2004: Automated analysis of DNA hybridization images for high-throughput genomics
* 2009: SPARQL Query Re-writing Using Partonomy Based Transformation Rules
* 2016: Multiple object clustering using FCM and K-means algorithms
* 2018: Hybrid segmentation method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images
* 2019: Non-invasive technique of diabetes detection using iris images
* 2020: Gaussian Process Upsampling Model for Improvements in Optical Character Recognition, A
* 2022: DCGCR: Dynamic Clustering Green Communication Routing for Intelligent Transportation Systems
Includes: Verma, K.[Kunal] Verma, K.[Kesari] Verma, K.[Kavita]
8 for Verma, K.
Verma, M.
* 2011: PACP: An Efficient Pseudonymous Authentication-Based Conditional Privacy Protocol for VANETs
* 2015: Center symmetric local binary co-occurrence pattern for texture, face and bio-medical image retrieval
* 2015: Fusion of submanifold and local texture features for palmprint authentication
* 2016: Global Surface Net-Radiation at 5 km from MODIS Terra
* 2017: Interest Region Based Motion Magnification
* 2017: new accelerated proximal gradient technique for regularized multitask learning framework, A
* 2019: Facial Expression Recognition with Skip-Connection to Leverage Low-Level Features
* 2019: Regional adaptive affinitive patterns (RADAP) with logical operators for facial expression recognition
* 2020: IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
* 2020: LEARNet: Dynamic Imaging Network for Micro Expression Recognition
* 2020: Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
* 2021: AffectiveNet: Affective-Motion Feature Learning for Microexpression Recognition
* 2021: Learners' Efficiency Prediction Using Facial Behavior Analysis
* 2021: MTUNet: Few-shot Image Classification with Visual Explanations
* 2021: SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
* 2022: Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
* 2023: RNAS-MER: A Refined Neural Architecture Search with Hybrid Spatiotemporal Operations for Micro-Expression Recognition
Includes: Verma, M. Verma, M.[Manisha] Verma, M.[Manish] Verma, M.[Mridula] Verma, M.[Monu]
17 for Verma, M.
Verma, M.R.
* 1987: Edge Detection in Fingerprints
Verma, N.[Neelam]
* 2000: Effective Source Recognition Algorithm: Extraction of Significant Binary Words, An
* 2012: Learning hierarchical similarity metrics
* 2018: FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
* 2019: Stability Based Filter Pruning for Accelerating Deep CNNs
* 2021: Dual Mesh Convolutional Networks for Human Shape Correspondence
* 2021: Underway Hyperspectral Bio-Optical Assessments of Phytoplankton Size Classes in the River-Influenced Northern Gulf of Mexico
Includes: Verma, N.[Neelam] Verma, N.[Nakul] Verma, N.[Nitika] Verma, N. Verma, N.[Neeharika]
Verma, N.K.[Nishchal K.]
* 2007: Color Segmentation Via Improved Mountain Clustering Technique
* 2009: Fuzzy rule based unsupervised approach for salient gene extraction
* 2009: MRI brain image segmentation for spotting tumors using improved mountain clustering approach
* 2010: Prediction of satellite images using fuzzy rule based Gaussian regression
* 2012: Future image frame generation using Artificial Neural Network with selected features
* 2012: Generation of Future Image Frames Using Adaptive Network Based Fuzzy Inference System on Spatiotemporal Framework
* 2013: Generation of Future Image Frames Using Optical Flow
* 2013: Image Sequence Prediction Using ANN and RBFNN
* 2014: Large displacement optical flow based image predictor model
* 2015: High Accuracy Optical Flow Based Future Image Frame Predictor Model
* 2015: Unsupervised approach for object matching using Speeded Up Robust Features
* 2016: Comparison of Canopy Volume Measurements of Scattered Eucalypt Farm Trees Derived from High Spatial Resolution Imagery and LiDAR
* 2018: Generalized Fuzzy Peer Group for Removal of Mixed Noise from Color Image
* 2019: Robust Noisiness Measure Based Improved Generalized Fuzzy Peer Group for Removal of Mixed Noise From Color Image
Includes: Verma, N.K.[Nishchal K.] Verma, N.K. Verma, N.K.[Niva Kiran]
14 for Verma, N.K.
Verma, O.P.[Om Prakash]
* 2011: novel bacterial foraging technique for edge detection, A
* 2017: Fuzzy-Contextual Contrast Enhancement
* 2022: Tenth Visual Object Tracking VOT2022 Challenge Results, The
Includes: Verma, O.P.[Om Prakash] Verma, O.P.
Verma, P.[Pramode]
* 2008: Braille Document Parameters Estimation for Optical Character Recognition
* 2010: Braille document recognition using Belief Propagation
* 2012: Vehicle Identification Via Sparse Representation
* 2013: SCoBeP: Dense image registration using sparse coding and belief propagation
* 2016: Video Super-Resolution Framework Using SCoBeP, A
* 2018: CrowdFaceDB: Database and benchmarking for face verification in crowd
* 2019: Deep Geodesic Learning for Segmentation and Anatomical Landmarking
* 2020: Three stage deep network for 3D human pose reconstruction by exploiting spatial and temporal data via its 2D pose
* 2021: Classifying Breast Density in Mammographic Images Using Wavelet-Based and Fine-Tuned Sensory Neural Networks
* 2021: Splatty- A Unified Image Demosaicing and Rectification Method
Includes: Verma, P.[Pramode] Verma, P. Verma, P.[Priyanka] Verma, P.[Pratishtha] Verma, P.[Parag] Verma, P.[Pranav]
10 for Verma, P.
Verma, R.[Ragini]
* 2006: Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation, A
* 2006: On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure
* 2007: Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor
* 2007: Estimating Cluster Overlap on Manifolds and its Application to Neuropsychiatric Disorders
* 2007: Manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images
* 2007: On Analyzing Diffusion Tensor Images by Identifying Manifold Structure Using Isomaps
* 2007: On Detecting Subtle Pathology via Tissue Clustering of Multi-parametric Data using Affinity Propagation
* 2007: Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features
* 2008: Learning-based analysis of emotional impairments in schizophrenia
* 2008: On non-linear characterization of tissue abnormality by constructing disease manifolds
* 2010: DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors
* 2011: Multichannel Image Registration by Feature-Based Information Fusion
* 2012: Peak Geodesic Concentration: A measure of WM complexity in HARDI
* 2013: Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras
* 2013: Salt-and-pepper noise removal by adaptive median-based lifting filter using second-generation wavelets
* 2014: CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset
* 2015: Conversion of neutral speech to storytelling style speech
* 2015: On spatial neighborhood of patch-based super resolution
* 2015: Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities
* 2016: Detecting multiple sub-types of breast cancer in a single patient
* 2017: Convolutional neural networks for wavelet domain super resolution
* 2017: Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology, A
* 2019: Structural Connectivity Analysis Using Finsler Geometry
* 2020: Multi-Organ Nucleus Segmentation Challenge, A
* 2020: Syn2Real: Forgery Classification via Unsupervised Domain Adaptation
* 2021: Analysis Of Spatio-temporal Urban Dynamics in 11 Smart Cities Of Uttar Pradesh, India
* 2021: MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
* 2022: Author's Reply to MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
Includes: Verma, R.[Ragini] Verma, R. Verma, R.[Ravikant] Verma, R.[Ruchika]
28 for Verma, R.
Verma, S.
* 2004: Application of markerless image-based arm tracking to robot-manipulator teleoperation
* 2005: Kinematic Variables Estimation using Eye-in-Hand Robot Camera System
* 2014: On cross spectral periocular recognition
* 2015: Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision
* 2016: At-a-distance person recognition via combining ocular features
* 2016: Learning discriminability-preserving histogram representation from unordered features for multibiometric feature-fused-template protection
* 2018: Diversity in Fashion Recommendation Using Semantic Parsing
* 2018: Low cost localization using Nyström extended locally linear embedding
* 2018: Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos
* 2021: Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm
* 2021: Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning
* 2021: QFabric: Multi-Task Change Detection Dataset
* 2022: DCGCR: Dynamic Clustering Green Communication Routing for Intelligent Transportation Systems
* 2022: DMD-Net: Deep Mesh Denoising Network
* 2022: DUEL: Dempster Uncertainty-Based Enhanced- Trust Level Scheme for VANET
* 2022: GeoEngine: A Platform for Production-Ready Geospatial Research
* 2022: Intelligent and Secure Clustering in Wireless Sensor Network (WSN)-Based Intelligent Transportation Systems
* 2022: Linkable Privacy-Preserving Scheme for Location-Based Services
* 2023: 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
* 2023: Parzen Window Approximation on Riemannian Manifold
* 2024: GraphFill: Deep Image Inpainting using Graphs
Includes: Verma, S. Verma, S.[Siddharth] Verma, S.[Shalini] Verma, S.[Sunny] Verma, S.[Shekhar] Verma, S.[Shrish] Verma, S.[Sachin] Verma, S.[Sagar] Verma, S.[Sahil] Verma, S.[Shashikant] Verma, S.[Sandeep]
21 for Verma, S.
Verma, S.A.
* 2016: On the Problem of Pairing Aircraft for Closely Spaced Parallel Approaches
Verma, S.K.[Sashi Kant]
* 2020: Reweighted infrared patch image model for small target detection based on non-convex Lp-norm minimisation and TV regularisation
* 2021: Infrared small target detection based on non-convex triple tensor factorisation
Verma, S.V.[Sarita V.]
* 2013: Study and analysis of PCA, DCT and DWT based image fusion techniques
Verma, T.[Tanmay]
* 2012: MaxFlow Revisited: An Empirical Comparison of Maxflow Algorithms for Dense Vision Problems
Verma, U.[Ujjwal]
* 2015: Segmentation and size estimation of tomatoes from sequences of paired images
Verma, V.[Vivek]
* 2006: 3D Building Detection and Modeling from Aerial LIDAR Data
* 2015: AEGIS autonomous targeting for the Curiosity rover's ChemCam instrument
* 2016: Boosting local texture descriptors with Log-Gabor filters response for improved image retrieval
* 2018: DCT-domain deep convolutional neural networks for multiple JPEG compression classification
* 2020: SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
* 2021: Interpolation-based Semi-supervised Learning for Object Detection
* 2024: CoD: Coherent Detection of Entities from Images with Multiple Modalities
* 2024: Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
* 2024: Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning
Includes: Verma, V.[Vivek] Verma, V. Verma, V.[Vishal] Verma, V.[Vinay] Verma, V.[Vikas]
9 for Verma, V.
Verma, V.K.[Vinay Kumar]
* 2014: Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images, A
* 2018: Generalized Zero-Shot Learning via Synthesized Examples
* 2018: Generative Approach to Zero-Shot and Few-Shot Action Recognition, A
* 2019: Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval
* 2019: HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
* 2020: Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation, A
* 2020: HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs
* 2020: Leveraging Filter Correlations for Deep Model Compression
* 2020: Network Pruning Network Approach to Deep Model Compression, A
* 2020: Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval
* 2021: Efficient Feature Transformations for Discriminative and Generative Continual Learning
* 2021: Towards Zero-Shot Learning with Fewer Seen Class Examples
* 2023: Exemplar-Free Continual Transformer with Convolutions
* 2023: Pushing the Efficiency Limit Using Structured Sparse Convolutions
* 2023: SkiLL: Skipping Color and Label Landscape: Self Supervised Design Representations for Products in E-commerce
Includes: Verma, V.K.[Vinay Kumar] Verma, V.K. Verma, V.K.[Vinay K.]
15 for Verma, V.K.
Verma, V.S.[Vivek Singh]
* 2015: Digital watermark extraction using support vector machine with principal component analysis based feature reduction
* 2015: Improved watermarking technique based on significant difference of lifting wavelet coefficients
* 2022: Image Authentication Using Block Truncation Coding in Lifting Wavelet Domain
Verma, Y.
* 2012: Automated End-to-End Multi-Agent QoS Based Architecture for Selection of Geospatial Web Services, An
* 2012: Image Annotation Using Metric Learning in Semantic Neighbourhoods
* 2013: Exploring SVM for Image Annotation in Presence of Confusing Labels
* 2013: Generating Image Descriptions Using Semantic Similarities in the Output Space
* 2014: Im2Text and Text2Im: Associating Images and Texts for Cross-Modal Retrieval
* 2014: Relative Parts: Distinctive Parts for Learning Relative Attributes
* 2015: Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes
* 2017: Image Annotation by Propagating Labels from Semantic Neighbourhoods
* 2017: support vector approach for cross-modal search of images and texts, A
* 2018: Cross-specificity: modelling data semantics for cross-modal matching and retrieval
* 2019: Diverse image annotation with missing labels
* 2020: Recurrent Image Annotation with Explicit Inter-Label Dependencies
* 2020: retrieval-based approach for diverse and image-specific adversary selection, A
* 2022: Cross-modal Retrieval Using Contrastive Learning of Visual-Semantic Embeddings
* 2022: Surprising Effectiveness of Random Feature Embeddings in eXtreme Classification
* 2024: Activity-based Early Autism Diagnosis Using A Multi-Dataset Supervised Contrastive Learning Approach
Includes: Verma, Y. Verma, Y.[Yashaswi]
16 for Verma, Y.
Vermaak, J.
* 2001: Integrated tracking with vision and sound
* 2001: Sequential Monte Carlo Fusion of Sound and Vision for Speaker Tracking
* 2002: Color-Based Probabilistic Tracking
* 2002: Rapid Summarisation and Browsing of Video Sequences
* 2002: Towards Improved Observation Models for Visual Tracking: Selective Adaptation
* 2003: Constrained subspace modelling
* 2003: Maintaining multi-modality through mixture tracking
* 2003: Variational inference for visual tracking
* 2005: Bayesian Visual Tracking with Existence Process
* 2006: Bayesian Tracking with Auxiliary Discrete Processes. Application to Detection and Tracking of Objects with Occlusions
Includes: Vermaak, J. Vermaak, J.[Jaco]
10 for Vermaak, J.
Vermandel, M.
* 2007: Ultrasound image guided patient setup for prostate cancer conformal radiotherapy
* 2011: New Method for Volume Segmentation of PET Images, Based on Possibility Theory, A
Vermandere, J.[Jelle]
* 2022: Point Cloud Validation: On the Impact of Laser Scanning Technologies on the Semantic Segmentation for BIM Modeling and Evaluation
* 2022: Two-Step Alignment of Mixed Reality Devices to Existing Building Data
Vermaut, F.
* 2001: distributed adaptive block matching algorithm: Dis-ABMA, A
Vermaut, J.[John]
* 2021: Animated Spatial Time Machine in Co-Creation: Reconstructing History Using Gamification Integrated into 3D City Modelling, 4D Web and Transmedia Storytelling, An
Vermeer, K.A.
* 2006: Modeling of Scanning Laser Polarimetry Images of the Human Retina for Progression Detection of Glaucoma
* 2014: Hierarchical Coarse-to-Fine Approach for Fundus Image Registration, A
* 2017: Joint Segmentation of Retinal Layers and Focal Lesions in 3-D OCT Data of Topologically Disrupted Retinas
* 2017: Segmentation of Locally Varying Numbers of Outer Retinal Layers by a Model Selection Approach
* 2018: Corneal Endothelial Cell Segmentation by Classifier-Driven Merging of Oversegmented Images
* 2018: Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging Superpixels
* 2024: AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge
Includes: Vermeer, K.A. Vermeer, K.A.[Koenraad A.]
7 for Vermeer, K.A.
Vermeer, M.
* 2011: Evaluating the Correctness of Airborne Laser Scanning Data Heights Using Vehicle-Based RTK and VRS GPS Observations
Vermeersch, B.[Bart]
* 2008: Foliage Recognition Based on Local Edge Information
Vermeesch, P.[Pieter]
* 2019: Measuring Sand Dune Migration Rates with COSI-Corr and Landsat: Opportunities and Challenges
Vermeij, G.F.
* 1985: Geometric Reconstruction of Buried Heat Sources from a Surface Thermogram
Vermeij, M.
* 2019: Towards a Generic 3d Standardisation Approach for The Netherlands Supporting Different Applications and Encodings
Vermeir, S.[Simon]
* 2016: Application of Digital Technologies in the Restoration of Historic Buildings and Heritage Objects
Vermeir, T.[Thijs]
* 2014: Adaptive guided image filtering for screen content coding
* 2016: Guided Chroma Reconstruction for Screen Content Coding
* 2016: Real-time complexity constrained encoding
* 2016: Spatially misaligned HEVC transcoding with computational-complexity scalability
Vermeirsch, K.[Kenneth]
* 2007: Constrained Inter Prediction: Removing Dependencies Between Different Data Partitions
* 2008: Efficient spatial resolution reduction transcoding for H.264/AVC
* 2008: Improved dynamic rate shaping for H.264/AVC video streams
* 2009: Transcoding of H.264/AVC to SVC with motion data refinement
* 2011: Measurement and evaluation of head tracked auto-stereoscopic displays
* 2011: Quantizer offset selection for improved requantization transcoding
Includes: Vermeirsch, K.[Kenneth] Vermeirsch, K.[Koenraad]
Vermette, S.[Sharayah]
* 1900: Video based soccer ball tracking
Vermeulen, B.
* 2013: Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression
Vermeulen, C.
* 2015: How Many Hippos (HOMHIP): Algorithm for Automatic Counts of Animals with Infra-Red Thermal Imagery From UAV
* 2015: WIMUAS: Developing a Tool to Review Wildlife Data from Various UAS Flight Plans
* 2023: From crowd to herd counting: How to precisely detect and count African mammals using aerial imagery and deep learning?
Includes: Vermeulen, C. Vermeulen, C.[Cédric]
Vermeulen, F.
* 2009: Spectral Characterization of a Digital Still Camera's NIR Modification to Enhance Archaeological Observation
* 2016: Engaging with the Canopy: Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images
Includes: Vermeulen, F. Vermeulen, F.[Frank]
Vermeulen, H.C.
* 1997: Fast Fourier Transform Based Image Compression Algorithm Optimized for Speckle Interferometer Measurements
Vermeulen, M.
* 1992: Extraction of Grid Patterns on Stamped Metal Sheets Using Mathematical Morphology
* 2010: Object Identification and Characterization with Hyperspectral Imagery to Identify Structure and Function of Natura 2000 Habitats
Vermeulen, P.[Pieter]
* 2003: Methods and devices for producing and using synthetic visual speech based on natural coarticulation
Vermeulen, V.[Valery]
* 2003: Correlation of Gestural Musical Audio Cues and Perceived Expressive Qualities
Vermillion, C.[Chris]
* 2022: Cooperative Exchange-Based Platooning Using Predicted Fuel-Optimal Operation of Heavy-Duty Vehicles
* 2022: Hierarchical Control of Heavy-Duty Trucks Through Signalized Intersections With Non-Deterministic Signal Timing
* 2022: Hierarchical Model Predictive Control Approaches for Strategic Platoon Engagement of Heavy-Duty Trucks
* 2022: Predictive Command Governor-Based Adaptive Cruise Controller With Collision Avoidance for Non-Connected Vehicle Following, A
VerMilyea, M.
* 2017: Automatic Tracking and Motility Analysis of Human Sperm in Time-Lapse Images
Vermote, E.[Eric]
* 2000: Kronos: A Software System for the Processing and Retrieval of Large-Scale AVHRR Data Sets
* 2009: Validation of a New Parametric Model for Atmospheric Correction of Thermal Infrared Data
* 2010: Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project
* 2011: Quantification of LAI interannual anomalies by adjusting climatological patterns
* 2013: CACAO Method for Smoothing, Gap Filling, and Characterizing Seasonal Anomalies in Satellite Time Series, The
* 2015: Bidirectional effects in Landsat reflectance estimates: Is there a problem to solve?
* 2015: Evaluation of Medium Spatial Resolution BRDF-Adjustment Techniques Using Multi-Angular SPOT4 (Take5) Acquisitions
* 2017: Impact of Spatial Sampling on Continuity of MODIS-VIIRS Land Surface Reflectance Products: A Simulation Approach
* 2017: Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture, A
* 2018: Atmospheric Correction Inter-Comparison Exercise
* 2018: Prior Season Crop Type Masks for Winter Wheat Yield Forecasting: A US Case Study
* 2019: Can We Use the QA4ECV Black-sky Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) using AVHRR Surface Reflectance to Assess Terrestrial Global Change?
* 2019: Method for Landsat and Sentinel 2 (HLS) BRDF Normalization, A
* 2019: Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models
* 2021: Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data
* 2022: MODIS-Based AVHRR Cloud and Snow Separation Algorithm
* 2023: Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates
Includes: Vermote, E.[Eric] Vermote, E.
17 for Vermote, E.
Vermote, E.F.
* 2002: overview of MODIS Land data processing and product status, An
* 2014: Quantification of Impact of Orbital Drift on Inter-Annual Trends in AVHRR NDVI Data
* 2014: Retrieval of Surface Albedo on a Daily Basis: Application to MODIS Data
* 2015: Measuring the Directional Variations of Land Surface Reflectance From MODIS
* 2016: 30+ Year AVHRR LAI and FAPAR Climate Data Record: Algorithm Description and Validation, A
* 2017: 30+ Year AVHRR Land Surface Reflectance Climate Data Record and Its Application to Wheat Yield Monitoring, A
* 2019: Evaluation of Landsat-8 and Sentinel-2A Aerosol Optical Depth Retrievals across Chinese Cities and Implications for Medium Spatial Resolution Urban Aerosol Monitoring
* 2019: Impact of the Revisit of Thermal Infrared Remote Sensing Observations on Evapotranspiration Uncertainty: A Sensitivity Study Using AmeriFlux Data
* 2019: Improving the AVHRR Long Term Data Record BRDF Correction
* 2020: Remote Sensing of Coconut Trees in Tonga Using Very High Spatial Resolution WorldView-3 Data
* 2021: Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery
Includes: Vermote, E.F. Vermote, E.F.[Eric F.]
11 for Vermote, E.F.
Vermue, L.[Laurent]
* 2021: Bayesian Cut, The
* 2022: Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework
Vermunt, P.[Paul]
* 2019: Crop Monitoring Using Sentinel-1 Data: A Case Study from The Netherlands
Vermunt, P.C.[Paul C.]
* 2021: Response of Subdaily L-Band Backscatter to Internal and Surface Canopy Water Dynamics
* 2022: Towards Understanding the Influence of Vertical Water Distribution on Radar Backscatter from Vegetation Using a Multi-Layer Water Cloud Model