Index for veer

Veer, A.[Ankur] * 2021: Prognosticating the effect on Unemployment rate in the post-pandemic India via Time-Series Forecasting and Least Squares Approximation

Veer, D.[Dharm] * 2015: User adaptive transcoding for video teleconferencing

Veerabadran, V. * 2020: Adversarial Distortion for Learned Video Compression

Veerabhadra, K. * 2016: Adaptive hierarchical classification networks

Veerakachen, W.[Watcharee] * 2020: Satellite-Based Drought Impact Assessment on Rice Yield in Thailand with SIMRIW-RS

Veerakumar, T. * 2011: Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter
* 2014: Recursive cubic spline interpolation filter approach for the removal of high density salt-and-pepper noise
* 2020: Kernelized Fuzzy Modal Variation for Local Change Detection From Video Scenes
* 2021: hybrid BPSO-SVM for feature selection and classification of ocular health, A
* 2021: Mixed Poisson Gaussian noise reduction in fluorescence microscopy images using modified structure of wavelet transform
* 2022: Fully Automatic Feature-Based Real-Time Traffic Surveillance System Using Data Association in the Probabilistic Framework, A
Includes: Veerakumar, T. Veerakumar, T.[Thangaraj]

Veeralakshmi, S. * 2009: RVM-Based Human Action Classification in Crowd through Projection and Star Skeletonization

Veeramachaneni, H.[Harsha] * 2004: Reports of the DAS02 working groups

Veeramachaneni, K.[Kalyan] * 2004: Evolutionary Algorithm Based Approach for Dynamic Thresholding in Multimodal Biometrics, An
* 2005: adaptive multimodal biometric management algorithm, An
* 2008: Decision-level fusion strategies for correlated biometric classifiers
Includes: Veeramachaneni, K.[Kalyan] Veeramachaneni, K.

Veeramachaneni, S. * 2001: Word discrimination based on bigram co-occurrences
* 2002: Classifier Adaptation with Non-representative Training Data
* 2002: Classifying isogenous fields
* 2002: Style Constrained Quadratic Field Classifiers
* 2002: Style-conscious quadratic field classifier
* 2003: Handwriting recognition using position sensitive letter N-gram matching
* 2003: Towards a Ptolemaic Model for OCR
* 2004: Adaptive classifiers for multisource OCR
* 2005: Style Context with Second-Order Statistics
* 2007: Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields
* 2012: Bayesian hypothesis testing for pattern discrimination in brain decoding
Includes: Veeramachaneni, S. Veeramachaneni, S.[Sriharsha]
11 for Veeramachaneni, S.

Veeramani, T.[Thangamani] * 2013: Restoration of foggy and motion-blurred road scenes

Veeramuthu, L.[Loga] * 2006: Spatial Multiple Criteria Decision Analysis in Integrated Planning for Public Transport and Land Use Development Study in Klang Valley, Malaysia

Veeranna, V. * 1996: New Computational Technique for Complementary Sensor Integration in Detection Localization Systems

Veerapaneni, R. * 2017: Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis

Veerappa, M.[Manjunatha] * 2020: Evaluation of Interpretable Association Rule Mining Methods on Time-series in the Maritime Domain

Veeraraghavan, A.[Ashok] * 2004: Role of shape and kinematics in human movement analysis
* 2005: Matching Shape Sequences in Video with Applications in Human Movement Analysis
* 2006: Function Space of an Activity, The
* 2007: Fast Bilinear SfM with Side Information
* 2007: From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems
* 2008: Homography based distributed video coding for a network of cameras
* 2008: Non-refractive modulators for encoding and capturing scene appearance and depth
* 2008: Object Detection, Tracking and Recognition for Multiple Smart Cameras
* 2008: Shape-and-Behavior Encoded Tracking of Bee Dances
* 2008: Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
* 2009: Rate-Invariant Recognition of Humans and Their Activities
* 2009: Unsupervised view and rate invariant clustering of video sequences
* 2010: Axial light field for curved mirrors: Reflect your perspective, widen your view
* 2010: Fast directional chamfer matching
* 2010: Flexible Voxels for Motion-Aware Videography
* 2010: Image Invariants for Smooth Reflective Surfaces
* 2010: Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction
* 2010: Optimal coded sampling for temporal super-resolution
* 2010: Robust RVM regression using sparse outlier model
* 2010: Specular surface reconstruction from sparse reflection correspondences
* 2010: Streaming Compressive Sensing for high-speed periodic videos
* 2011: Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
* 2011: Fast Bilinear Structure from Motion Algorithm Using a Video Sequence and Inertial Sensors, A
* 2011: P2C2: Programmable pixel compressive camera for high speed imaging
* 2011: Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition
* 2011: Structured light 3D scanning in the presence of global illumination
* 2012: Flutter Shutter Video Camera for compressive sensing of videos
* 2012: Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior
* 2012: Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging
* 2012: Variable focus video: Reconstructing depth and video for dynamic scenes
* 2013: Analyzing computational imaging systems
* 2013: Practical Approach to 3D Scanning in the Presence of Interreflections, Subsurface Scattering and Defocus, A
* 2013: Towards Motion Aware Light Field Video for Dynamic Scenes
* 2014: Can we beat Hadamard multiplexing? Data driven design and analysis for computational imaging systems
* 2014: Framework for Analysis of Computational Imaging Systems: Role of Signal Prior, Sensor Noise and Multiplexing, A
* 2014: Image classification in natural scenes: Are a few selective spectral channels sufficient?
* 2014: Improving resolution and depth-of-field of light field cameras using a hybrid imaging system
* 2014: radon image as plenoptic function, The
* 2014: SocialSync: Sub-Frame Synchronization in a Smartphone Camera Network
* 2014: Toward Compressive Camera Networks
* 2015: Contact-free camera measurements of vital signs
* 2015: Depth Selective Camera: A Direct, On-Chip, Programmable Technique for Depth Selectivity in Photography
* 2015: FlatCam: Replacing Lenses with Masks and Computation
* 2015: FPA-CS: Focal plane array-based compressive imaging in short-wave infrared
* 2015: What does a single light-ray reveal about a transparent object?
* 2016: ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels
* 2016: Direct face detection and video reconstruction from event cameras
* 2016: Focal-sweep for large aperture time-of-flight cameras
* 2016: Lensless Imaging: A computational renaissance
* 2016: Signal processing for computational photography and displays
* 2016: Spatial Phase-Sweep: Increasing temporal resolution of transient imaging using a light source array
* 2017: Compressive Video Sensing: Algorithms, architectures, and applications
* 2017: PPGSecure: Biometric Presentation Attack Detection Using Photopletysmograms
* 2017: TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets
* 2018: Direct-Global Separation for Improved Imaging Photoplethysmography
* 2018: Learning from Noisy Web Data with Category-Level Supervision
* 2018: Survey on Smart Homes for Aging in Place: Toward Solutions to the Specific Needs of the Elderly, A
* 2018: Webly Supervised Learning Meets Zero-shot Learning: A Hybrid Approach for Fine-Grained Classification
* 2019: Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator
* 2019: Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images
* 2019: Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement
* 2020: 3PointTM: Faster Measurement of High-dimensional Transmission Matrices
* 2020: Freecam3d: Snapshot Structured Light 3d with Freely-moving Cameras
* 2020: Meta-Analysis of the Impact of Skin Type and Gender on Non-contact Photoplethysmography Measurements, A
* 2020: PhlatCam: Designed Phase-Mask Based Thin Lensless Camera
* 2021: Benefit of Distraction: Denoising Camera-Based Physiological Measurements using Inverse Attention, The
* 2021: CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo
* 2021: Combining Magnification and Measurement for Non-Contact Cardiac Monitoring
* 2021: High Resolution, Deep Imaging Using Confocal Time-of-Flight Diffuse Optical Tomography
* 2021: How to Train Neural Networks for Flare Removal
* 2021: SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam
* 2021: SASSI: Super-Pixelated Adaptive Spatio-Spectral Imaging
* 2021: Thermal Image Processing via Physics-Inspired Deep Networks
* 2022: FaceEngage: Robust Estimation of Gameplay Engagement from User-Contributed (YouTube) Videos
* 2022: FlatNet: Towards Photorealistic Scene Reconstruction From Lensless Measurements
* 2022: Learning Phase Mask for Privacy-Preserving Passive Depth Estimation
* 2022: MINER: Multiscale Implicit Neural Representation
* 2022: Near-Infrared Imaging Photoplethysmography During Driving
* 2022: PANDORA: Polarization-Aided Neural Decomposition of Radiance
* 2022: Seeing Beneath the Skin with Computational Photography
* 2023: NeRT: Implicit Neural Representations for Unsupervised Atmospheric Turbulence Mitigation
* 2023: ORCa: Glossy Objects as Radiance-Field Cameras
* 2023: Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
* 2023: Thermal Spread Functions (TSF): Physics-Guided Material Classification
* 2023: WIRE: Wavelet Implicit Neural Representations
Includes: Veeraraghavan, A.[Ashok] Veeraraghavan, A.
85 for Veeraraghavan, A.

Veeraraghavan, A.N. * 2015: Generalized Assorted Camera Arrays: Robust Cross-Channel Registration and Applications

Veeraraghavan, H. * 2003: Computer vision algorithms for intersection monitoring
* 2006: Robust target detection and tracking through integration of motion, color, and geometry
* 2007: Learning Dynamic Event Descriptions in Image Sequences
* 2009: Learning to Recognize Video-Based Spatiotemporal Events
* 2014: Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection
* 2019: Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images
* 2020: PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation
* 2022: One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs
* 2022: Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation
* 2024: Wasserstein HOG: Local Directionality Extraction via Optimal Transport
Includes: Veeraraghavan, H. Veeraraghavan, H.[Harini]
10 for Veeraraghavan, H.

Veeraraghavan, N. * 1996: Lossless Image Compression Using Wavelet Decomposition

Veeraraghavany, A. * 2018: SparsePPG: Towards Driver Monitoring Using Camera-Based Vital Signs Estimation in Near-Infrared

Veeravalli, B.[Bharadwaj] * 2002: Theoretical and experimental study on large size image processing applications using divisible load paradigm on distributed bus networks
* 2005: Design and Implementation of Parallel Video Encoding Strategies Using Divisible Load Analysis
* 2006: Multiple-Server Movie-Retrieval Strategies for Distributed Multimedia Applications: A Play-While-Retrieve Approach
* 2022: ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation
* 2022: MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation
* 2022: Object-Aware Self-Supervised Multi-Label Learning
* 2023: 2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
* 2023: Efficient Deep Video Model For Deepfake Detection, An
Includes: Veeravalli, B.[Bharadwaj] Veeravalli, B.
8 for Veeravalli, B.

Veeravalli, V.V.[Venugopal V.] * 2023: Information Flow Optimization for Estimation in Linear Models Using a Sensor Network

Veeravasarapu, S. * 2020: Infoprint: Information Theoretic Digital Image Forensics

Veeravasarapu, V.[Vsr] * 2017: Adversarially Tuned Scene Generation
* 2017: Model-Driven Simulations for Computer Vision
* 2020: ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours
Includes: Veeravasarapu, V.[Vsr] Veeravasarapu, V.

Veeravasarapu, V.S.R.[V.S. Rao] * 2010: Motion deblurring as optimisation
* 2018: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders
Includes: Veeravasarapu, V.S.R.[V.S. Rao] Veeravasarapu, V.S.R.

Veeriah, V.[Vivek] * 2015: Differential Recurrent Neural Networks for Action Recognition

Veerman, J.A.C. * 2011: Application of computational anatomy methods to MRI data for the diagnosis of Alzheimer'S disease
* 2012: method for detecting interstructural atrophy correlation in MRI brain images, A
* 2014: new method for data-driven multi-brain atlas generation, A
Includes: Veerman, J.A.C. Veerman, J.A.C.[Jan A.C.]

Index for "v"


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