Varsa, P.M.[Petri M.]
* 2024: Environmentally Induced Snow Transmittance Variations in the Photosynthetic Spectral Domain: Photobiological Implications for Subnivean Vegetation under Climate Warming Conditions
Varsa, V.
* 2002: error concealment feature in the h.26l test model, The
Varsaki, E.E.[Eleni E.]
* 2013: Data hiding based on image texture classification
Varsavsky, T.
* 2020: k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal, A
Varsha, H.S.
* 2005: new moments based skew estimation technique using pixels in the word for binary document images, A
Varsha, N.K.
* 2012: Classification of color objects like fruits using probability density function (PDF)
Varshney, A.[Amitabh]
* 2009: Modeling and Visualization of Human Activities for Multicamera Networks
* 2009: Saliency-Guided Lighting
* 2017: Deep-learning-assisted visualization for live-cell images
* 2017: Interactive exploration of microstructural features in gigapixel microscopy images
* 2017: Kinetic depth images: flexible generation of depth perception
* 2017: Volume segmentation using convolutional neural networks with limited training data
* 2020: Deep Depth Estimation on 360° Images with a Double Quaternion Loss
* 2021: Semi-Supervised Action Recognition with Temporal Contrastive Learning
* 2021: SIGNET: Efficient Neural Representation for Light Fields
* 2022: PRIF: Primary Ray-Based Implicit Function
Includes: Varshney, A.[Amitabh] Varshney, A. Varshney, A.[Ashutosh]
10 for Varshney, A.
Varshney, A.K.
* 2000: Short-term Water Demand Forecasting Using Artificial Neural Networks: Iit Kanpur Experience
Varshney, D.[Debvrat]
* 2021: Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet
Varshney, H.
* 2007: Energy efficient novel architectures for the lifting-based discrete wavelet transform
Varshney, K.
* 2014: Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing
Varshney, K.R.
* 2009: Postarthroplasty Examination Using X-Ray Images
Varshney, L.R.[Lav R.]
* 2022: Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts
Varshney, M.
* 2020: Cooperative Initialization based Deep Neural Network Training
* 2020: Minimizing Supervision in Multi-label Categorization
* 2022: Learning Speaker-specific Lip-to-Speech Generation
Includes: Varshney, M. Varshney, M.[Munender]
Varshney, P.[Pramod]
* 2004: Evolutionary Algorithm Based Approach for Dynamic Thresholding in Multimodal Biometrics, An
Varshney, P.K.
* 1994: tight upper bound on the Bayesian probability of error, A
* 1997: Decentralized Signal-Detection with Fuzzy Information
* 1997: Image Thresholding Based on Ali-Silvey Distance Measures
* 1997: Multisensor Data Fusion
* 1997: Special Issue on Data Fusion
* 1999: Image Processing Tools for the Enhancement of Concealed Weapon Detection
* 1999: Registration and fusion of infrared and millimeter wave images for concealed weapon detection
* 2001: Automatic two-stage IR and MMW image registration algorithm for concealed weapons detection
* 2002: ICA mixture model based unsupervised classification of hyperspectral imagery
* 2002: image change detection algorithm based on markov random field models, An
* 2002: Multisensor surveillance systems based on image and video data
* 2002: novel error correction method without overhead for corrupted JPEG images, A
* 2003: Automatic camera selection and fusion for outdoor surveillance under changing weather conditions
* 2003: Multisensor Surveillance Systems: The Fusion Perspective
* 2003: Mutual Information-Based CT-MR Brain Image Registration Using Generalized Partial Volume Joint Histogram Estimation
* 2003: On registration of regions of interest (ROI) in video sequences
* 2003: Performance of mutual information similarity measure for registration of multitemporal remote sensing images
* 2004: Detection and tracking of moving objects in image sequences with varying illumination
* 2004: Recovery of Corrupted DCT Coded Images Based on Reference Information
* 2005: adaptive multimodal biometric management algorithm, An
* 2007: Dimensionality Reduction of Hyperspectral Images for Color Display using Segmented Independent Component Analysis
* 2007: Quality-Based Fusion of Multiple Video Sensors for Video Surveillance
* 2007: Robustness of Change Detection Algorithms in the Presence of Registration Errors
* 2008: Multisource Classification Using Support Vector Machines: An Empirical Comparison with Decision Tree and Neural Network Classifiers
* 2009: Registration of high-dimensional remote sensing data based on a new dimensionality reduction rule
* 2011: Image Fusion Approach Based on Markov Random Fields, An
* 2011: Improving Subpixel Classification by Incorporating Prior Information in Linear Mixture Models
* 2012: Sparsity-Promoting Extended Kalman Filtering for Target Tracking in Wireless Sensor Networks
* 2013: Dimensionality Reduction for Registration of High-Dimensional Data Sets
* 2013: Noise-refined image enhancement using multi-objective optimisation
* 2014: Asymptotic Performance of Categorical Decision Making with Random Thresholds
* 2014: Energy-Aware Sensor Selection in Field Reconstruction
* 2014: Modulation Discovery Over Arbitrary Additive Noise Channels Based on the Richardson-Lucy Algorithm
* 2015: Asymptotic Analysis of Distributed Bayesian Detection with Byzantine Data
* 2015: Distributed Detection Over Channels with Memory
* 2015: human visual system-driven image segmentation algorithm, A
* 2015: On performance limits of image segmentation algorithms
* 2016: Optimal Auction Design With Quantized Bids
* 2016: Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach
* 2017: Autonomous Fall Detection With Wearable Cameras by Using Relative Entropy Distance Measure
* 2017: On Strategic Multi-Antenna Jamming in Centralized Detection Networks
* 2018: Compressive Sensing Based Classification in the Presence of Intra-and Inter-Signal Correlation
* 2018: Copula Based Classifier Fusion Under Statistical Dependence
* 2018: Detection of Sparse Signals in Sensor Networks via Locally Most Powerful Tests
* 2018: On the Optimality of Likelihood Ratio Test for Prospect Theory-Based Binary Hypothesis Testing
* 2018: On Weak Signal Detection With Compressive Measurements
* 2018: Received-Signal-Strength-Based Localization in Wireless Sensor Networks
* 2018: Robustness of the Counting Rule for Distributed Detection in Wireless Sensor Networks
* 2019: Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios
* 2019: Distributed Detection of Weak Signals From One-Bit Measurements Under Observation Model Uncertainties
* 2020: Distributed Detection of Sparse Signals With Censoring Sensors Via Locally Most Powerful Test
* 2020: FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion
* 2021: Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks
* 2023: Efficient Ordered-Transmission Based Distributed Detection Under Data Falsification Attacks
Includes: Varshney, P.K. Varshney, P.K.[Pramod K.]
54 for Varshney, P.K.
Varshney, R.[Rajeev]
* 2019: Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems
Varshney, S.
* 2019: AdvGAN++: Harnessing Latent Layers for Adversary Generation
* 2023: Continual Learning with Dependency Preserving Hypernetworks
Includes: Varshney, S. Varshney, S.[Sakshi]
Varshosaz, M.
* 2008: Deformation Determination of Aircraft Parts by Photogrammetry
* 2010: Optimum selection of images in industrial photogrammetry using fuzzy computation
* 2011: Evaluating Parameters Affecting The Georeferencing Accuracy Of Terrestrial Laser Scanners
* 2012: Applying CCD Cameras in Stereo Panorama Systems for 3D Environment Reconstruction
* 2018: Development of a novel simplification mask for multi-shot optical scanners
* 2019: Photometric Stereo Assisted Drawing of Architectural Reliefs
* 2020: Evaluating Sector Ring Histogram of Oriented Gradients Filter In Locating Humans Within UAV Images
* 2020: Spoofing Detection of Civilian UAVs Using Visual Odometry
* 2021: Evaluating Tie Points Distribution, Multiplicity and Number on The Accuracy of UAV Photogrammetry Blocks
* 2021: Improving traffic sign recognition results in urban areas by overcoming the impact of scale and rotation
* 2021: Using Information Content to Select Keypoints for UAV Image Matching
* 2022: Image-Based Obstacle Detection Methods for the Safe Navigation of Unmanned Vehicles: A Review
* 2024: Automated Two-Step Seamline Detection for Generating Large-Scale Orthophoto Mosaics from Drone Images
Includes: Varshosaz, M. Varshosaz, M.[Masood]
13 for Varshosaz, M.
Varsi, A.
* 2020: Fast Parallel Particle Filter for Shared Memory Systems, A
Varslot, T.
* 2017: Fast Bilateral Filtering for Denoising Large 3D Images
Varsta, M.
* 1996: Surface Modeling and Robot Path Generation Using Self-Organization
* 2000: Evaluating the Performance of Three Feature Sets for Brain-computer Interfaces with an Early Stopping MLP Committee