Index for prab

Prabakaran, N. * 2013: Performance analysis of uplink MIMO in 2X2 mobile WiMAX system

Prabakeran, S.[Saravanan] * 2022: Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach

Prabamroong, T.[Thayukorn] * 2023: Integrated Remote Sensing Observations of Radiative Properties and Sources of the Aerosols in Southeast Asia: The Case of Thailand

Prabha, A.[Anju] * 2023: hybrid convolutional neural network model to detect COVID-19 and pneumonia using chest X-ray images, A

Prabha, A.J.[A. Jeya] * 2024: Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography - Neovascular Age related Macular degeneration retinal images using deep learning models

Prabha, N.A.[N. Amutha] * 2016: comprehensive review: Segmentation of MRI images: brain tumor, A
* 2017: Analysis of denoising filters on MRI brain images
* 2018: MRI brain segmentation in combination of clustering methods with Markov random field

Prabha, P. * 2018: analysis of the effect of combining standard and alternate sensor signals on recognition of syllabic units for multimodal speech recognition, An

Prabha, R.[Rajanie] * 2020: Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning

Prabha, V.L.[Viswanathan Lakshmi] * 2015: MRI brain image classification: a hybrid approach

Prabhakar Rao, B.V.V.S.N. * 2017: Volumetric analysis of MR images for glioma classification and their effect on brain tissues

Prabhakar, A. * 1994: Shape Discrimination by Radial Sectoral Projection Signatures

Prabhakar, C.[Chinmay] * 2023: Differentially Private Graph Neural Networks for Whole-Graph Classification
* 2024: Generatect: Text-conditional Generation of 3d Chest CT Volumes
* 2024: Link Prediction for Flow-Driven Spatial Networks

Prabhakar, C.J. * 2006: Face Recognition Technique Using Symbolic Linear Discriminant Analysis Method
* 2008: Face Recognition Using Symbolic KPCA Plus Symbolic LDA in the Framework of Symbolic Data Analysis: Symbolic Kernel Fisher Discriminant Method

Prabhakar, K.[Karthir] * 2010: Temporal causality for the analysis of visual events
* 2012: Categorizing Turn-Taking Interactions

Prabhakar, K.R. * 2017: DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs
* 2020: Towards Practical and Efficient High-resolution HDR Deghosting with CNN
* 2021: Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting
* 2021: Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions
Includes: Prabhakar, K.R. Prabhakar, K.R.[K. Ram] Prabhakar, K.R.[K Ram]

Prabhakar, M.[Mathyam] * 2024: Mapping Leaf Area Index at Various Rice Growth Stages in Southern India Using Airborne Hyperspectral Remote Sensing
* 2025: Non-Parametric Unsupervised Approach for Robust Lane-Change Estimation From Highway-Based Trajectory Data, A
Includes: Prabhakar, M.[Mathyam] Prabhakar, M.[Manav]

Prabhakar, R.[Ram] * 2025: VILLS: Video-Image Learning to Learn Semantics for Person Re-Identification

Prabhakar, S.[Salil] * 1998: Multichannel Approach to Fingerprint Classification, A
* 1999: Combining Multiple Matchers for a High Security Fingerprint Verification System
* 1999: Finger Code: A Filterbank for Fingerprint Representation and Matching
* 1999: Multichannel Approach to Fingerprint Classification, A
* 2000: Filterbank-Based Fingerprint Matching
* 2000: Minutia Verification and Classification for Fingerprint Matching
* 2001: Decision-level fusion in fingerprint verification
* 2001: Fingerprint Matching Using Minutiae and Texture Features
* 2001: On the Individuality of Fingerprints
* 2001: Recent Advances in Fingerprint Verification
* 2001: Twin Test: On Discriminability of Fingerprints
* 2002: Decision-level fusion in fingerprint verification
* 2002: Detection and segmentation of sweeps in color graphics images
* 2002: On the Individuality of Fingerprints
* 2002: On the similarity of identical twin fingerprints
* 2002: Picture-graphics color image classification
* 2003: Biometric Recognition: Security and Privacy Concerns
* 2003: Handbook of Fingerprint Recognition
* 2003: Learning fingerprint minutiae location and type
* 2004: Biometrics: A grand challenge
* 2004: Introduction to Biometric Recognition, An
* 2007: Introduction to the Special Issue on Biometrics: Progress and Directions
* 2007: Minutiae-Based Template Synthesis and Matching Using Hierarchical Delaunay Triangulations
* 2009: Handbook of Fingerprint Recognition
* 2009: Minutiae-based template synthesis and matching for fingerprint authentication
Includes: Prabhakar, S.[Salil] Prabhakar, S.
25 for Prabhakar, S.

Prabhakar, S.I.[Sun Il] * 2002: On Watermarking Numeric Sets
* 2003: Minimizing Latency and Jitter for Large-Scale Multimedia Repositories Through Prefix Caching
* 2003: Resilient Information Hiding for Abstract Semi-structures
Includes: Prabhakar, S.I.[Sun Il] Prabhakar, S.I.[Sun-Il]

Prabhakar, T.V.N.[T.V. Nidhin] * 2017: Two-dimensional empirical wavelet transform based supervised hyperspectral image classification

Prabhakar, Y.[Yadu] * 2021: NetCalib: A Novel Approach for LiDAR-Camera Auto-calibration Based on Deep Learning

Prabhakara, A.[Akarsh] * 2024: DART: Implicit Doppler Tomography for Radar Novel View Synthesis

Prabhakaran, B.[Balakrishnan] * 2008: Fault Detection Framework for Video Surveillance Systems
* 2008: randomized approximating graph algorithm for image annotation refinement problem, The
* 2010: Blind invisible watermarking for 3D meshes with textures
* 2013: Content Based 3D Human Document Retrieval Using Latent Semantic Mapping
* 2014: 3D content fingerprinting
* 2014: novel method for post-surgery face recognition using sum of facial parts recognition, A
* 2014: Real-Time Mobile Facial Expression Recognition System: A Case Study
* 2015: Real-Time Facial Expression Recognition on Smartphones
* 2016: Region graph based method for multi-object detection and tracking using depth cameras
* 2018: Editorial IEEE Transactions on Multimedia Special Section on Video Analytics: Challenges, Algorithms, and Applications
* 2018: Real-Time, Curvature-Sensitive Surface Simplification Using Depth Images
* 2023: Recent Advances in Immersive Multimedia
* 2024: Generative Adversarial Networks for Biomedical Imaging
* 2024: Generative AI for 3-D Point Clouds
* 2025: Conversation Between the Founding and the Current EICs on 30 Years of Multimedia Computing, A
* 2025: Thirty Years of Multimedia Computing: From Academic Vision to Ubiquitous Intelligence
Includes: Prabhakaran, B.[Balakrishnan] Prabhakaran, B.
16 for Prabhakaran, B.

Prabhakaran, S.[Sandhya] * 2012: Automatic Model Selection in Archetype Analysis
* 2025: HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
Includes: Prabhakaran, S.[Sandhya] Prabhakaran, S.[Surya]

Prabhakaran, T. * 2020: Multiresolution Technique for the Classification of Precipitation Echoes in Radar Data, A

Prabhakaran, V. * 2019: DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
* 2022: Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features
* 2023: Image Quality Assessment using Semi-Supervised Representation Learning
* 2025: Towards Image Copy Detection at E-Commerce Scale
* 2026: Plug and play labeling strategies for boosting small brain lesion segmentation
Includes: Prabhakaran, V. Prabhakaran, V.[Vishnu] Prabhakaran, V.[Vivek]

Prabhakaran, V.M. * 2003: Towards a theory for video coding using distributed compression principles
* 2006: Syndrome-Based Robust Video Transmission Over Networks with Bursty Losses

Prabhakararao, E. * 2020: Attentive RNN-Based Network to Fuse 12-Lead ECG and Clinical Features for Improved Myocardial Infarction Diagnosis
* 2020: B-Scan Attentive CNN for the Classification of Retinal Optical Coherence Tomography Volumes
* 2023: Congestive Heart Failure Detection From ECG Signals Using Deep Residual Neural Network
Includes: Prabhakararao, E. Prabhakararao, E.[Eedara]

Prabhanjan, S. * 2017: Deep Learning Approach for Devanagari Script Recognition

Prabhashana, S.C.[Sasinda C.] * 2025: Machine Learning-Based Resource Allocation in 6G Integrated Space and Terrestrial Networks-Aided Intelligent Autonomous Transportation

Prabhat * 2005: ADVISER: Immersive Scientific Visualization Applied to Mars Research and Exploration
* 2015: TECA: Petascale Pattern Recognition for Climate Science
* 2021: Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data

Prabhat, M. * 2019: Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events

Prabhat, P.[Prabhat] * 2013: Ultrascale Visualization of Climate Data

PrabhatGupta, H. * 2018: Robust Scene Text Detection with Deep Feature Pyramid Network and CNN based NMS Model

Prabhavalkar, R. * 2013: Conditional Random Fields in Speech, Audio, and Language Processing

Prabhu, A.[Ameya] * 2018: Deep Expander Networks: Efficient Deep Networks from Graph Theory
* 2018: Distribution-Aware Binarization of Neural Networks for Sketch Recognition
* 2018: Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
* 2020: Butterfly Transform: An Efficient FFT Based Neural Architecture Design
* 2020: GDUMB: A Simple Approach that Questions Our Progress in Continual Learning
* 2022: SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks
* 2023: Computationally Budgeted Continual Learning: What Does Matter?
* 2023: Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
* 2023: Real-Time Evaluation in Online Continual Learning: A New Hope
* 2023: Token Pooling in Vision Transformers for Image Classification
* 2025: Efficient Parallel Branch Network for Multi-Class Classification of Prostate Cancer From Histopathological Images, An
* 2025: How to Merge Your Multimodal Models Over Time?
Includes: Prabhu, A.[Ameya] Prabhu, A. Prabhu, A.[Anish] Prabhu, A.[Akshaya]
12 for Prabhu, A.

Prabhu, A.D.[Arun D.] * 2021: On-Device Text Image Super Resolution

Prabhu, G.A.[G. Ananth] * 2019: Evaluating the performance of face sketch generation using generative adversarial networks
* 2020: Deep-learning framework to detect lung abnormality: A study with chest X-Ray and lung CT scan images

Prabhu, G.N.[G. Nagendra] * 2022: Detecting Water Hyacinth Infestation in Kuttanad, India, Using Dual-Pol Sentinel-1 SAR Imagery

Prabhu, H.R.[H. Rahul] * 2011: Heartbeat biometrics for human authentication

Prabhu, K.A. * 1982: Motion Compensated Component Color Coding
* 1983: Motion Compensated Composite Color Coding
* 1985: Predictor Switching Scheme for DPCM Coding of Video Signals, A

Prabhu, K.M.M. * 1996: Fast Algorithm for Pseudodiscrete Wigner-Ville Distribution Using Moving Discrete Hartley Transform
* 1997: Numerically Stable Algorithm for Computing Wigner-Ville Distribution
* 2000: Fixed-point error analysis of two DCT algorithms
* 2001: Two-dimensional FIR compaction filter design

Prabhu, M.S. * 2011: Layered Internet Video Adaptation (LIVA): Network-Assisted Bandwidth Sharing and Transient Loss Protection for Video Streaming

Prabhu, N.[Nagabhushana] * 2005: Optimization on Lie manifolds and pattern recognition
* 2015: Attribute-Graph: A Graph Based Approach to Image Ranking
Includes: Prabhu, N.[Nagabhushana] Prabhu, N.[Nikita]

Prabhu, N.R.[Navin Raj] * 2023: Perceived Conversation Quality in Spontaneous Interactions
* 2024: End-to-End Label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning

Prabhu, P.[Pooja] * 2020: Classification of gait signals into different neurodegenerative diseases using statistical analysis and recurrence quantification analysis

Prabhu, S.[Sanjay] * 2005: Unsupervised Learning in Radiology Using Novel Latent Variable Models
* 2021: Lifting Posture Prediction With Generative Models for Improving Occupational Safety
* 2023: t-RAIN: Robust generalization under weather-aliasing label shift attacks
* 2025: Enhanced Power Law Transformation for Histopathology Images of Breast Cancer
Includes: Prabhu, S.[Sanjay] Prabhu, S.[Saiesh] Prabhu, S.[Sanjana] Prabhu, S.[Sapna]

Prabhu, S.M. * 1994: hierarchical labeled object classification system, A
* 2010: Matte Super-Resolution for Compositing
* 2010: Recursive Video Matting and Denoising
* 2011: Natural Matting for Degraded Pictures
* 2012: Joint multi-frame super-resolution and matting
* 2013: Unified multiframe super-resolution of matte, foreground, and background
* 2022: Self-Supervised Learning for Texture Classification Using Limited Labeled Data
Includes: Prabhu, S.M. Prabhu, S.M.[Sahana M.]
7 for Prabhu, S.M.

Prabhu, S.S. * 1974: Reconstruction of objects from their projections using generalized inverses
* 2022: LWGNet: Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval
Includes: Prabhu, S.S. Prabhu, S.S.[Sanjana S.]

Prabhu, S.V.[S. Vishnu] * 2012: robust watermarking method based on Compressed Sensing and Arnold scrambling, A

Prabhu, T.S.K.[T.S. Krishna] * 2009: Adaptive Binarization of Ancient Documents
* 2009: Binarization of Documents with Complex Backgrounds

Prabhu, U.[Utsav] * 2011: analysis of facial shape and texture for recognition: A large scale evaluation on FRGC ver2.0, An
* 2011: Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models
* 2012: novel energy based filter for cross-blink eye detection, A
* 2014: Sparse Feature Extraction for Pose-Tolerant Face Recognition
* 2019: SSR2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions
* 2025: FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding

Prabhu, V.[Viraj] * 2021: Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
* 2021: SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
* 2022: Can domain adaptation make object recognition work for everyone?
* 2023: FACTS: First Amplify Correlations and Then Slice to Discover Bias
* 2023: Segmentation of brain tumor subregions with depthwise separable dense U-NET (DSDU-NET)
Includes: Prabhu, V.[Viraj] Prabhu, V.

Prabhu, V.U.[Vinay Uday] * 2021: Large image datasets: A pyrrhic win for computer vision?
* 2022: Auditing saliency cropping algorithms

Prabhudesai, A. * 2010: Selecting High Quality Frames for Super Resolution Reconstruction Using Perceptual Quality Metrics

Prabhudesai, A.B. * 2006: Qualitative Visual Environment Retrieval

Prabhudesai, M. * 2020: 3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations
* 2020: Embodied Language Grounding With 3D Visual Feature Representations
* 2021: CoCoNets: Continuous Contrastive 3D Scene Representations
* 2023: Your Diffusion Model is Secretly a Zero-Shot Classifier
Includes: Prabhudesai, M. Prabhudesai, M.[Mihir]

Prabhune, O.[Omkar] * 2024: Content-aware Input Scaling and Deep Learning Computation Offloading for Low-Latency Embedded Vision

Prabhushankar, M. * 2016: UNIQUE: Unsupervised Image Quality Estimation
* 2017: Generating adaptive and robust filter sets using an unsupervised learning framework
* 2018: Semantically Interpretable and Controllable Filter Sets
* 2019: Distorted Representation Space Characterization Through Backpropagated Gradients
* 2020: Backpropagated Gradient Representations for Anomaly Detection
* 2020: Contrastive Explanations In Neural Networks
* 2020: Implicit Saliency In Deep Neural Networks
* 2020: Novelty Detection Through Model-Based Characterization of Neural Networks
* 2021: Extracting Causal Visual Features for Limited Label Classification
* 2022: Explanatory Paradigms in Neural Networks: Towards relevant and contextual explanations
* 2022: Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data
* 2022: Gradient-Based Severity Labeling for Biomarker Classification in OCT
* 2024: Are Objective Explanatory Evaluation Metrics Trustworthy? An Adversarial Analysis
* 2024: Explaining Representation Learning with Perceptual Components
* 2024: Intelligent Multi-View Test Time Augmentation
* 2024: PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model
* 2024: Taxes are All You Need: Integration Of Taxonomical Hierarchy Relationships Into the Contrastive Loss
* 2025: HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
* 2025: Multi-Level and Multi-Modal Action Anticipation
Includes: Prabhushankar, M. Prabhushankar, M.[Mohit]
19 for Prabhushankar, M.

Prablanc, C. * 2015: Adaptive estimates of egocentric distance from vergence in telestereoscopic viewing: Von Hofsten's model revisited

Prabu, C. * 2016: novel brain image segmentation using intuitionistic fuzzy C means algorithm, A

Prabu, R.T.[R. Thandaiah] * 2024: Deep Learning Era for Computer Vision-Based Eye Gaze Tracking: An Intensive Model
* 2024: Multi-classification of brain tumor by using deep convolutional neural network model in magnetic resonance imaging images

Prabu, S. * 2015: Hybrid Particle Swarm Optimization with Affine Transformation Approach for Cloud Free Multi-Temporal Image Registration, A

Prabuchandran, K.J. * 2025: Bandit-based Attention Mechanism in Vision Transformers

Prabukumar, M.[Manoharan] * 2013: Feature extraction method for breast cancer diagnosis in digital mammograms using multi-resolution transformations and SVM-fuzzy logic classifier

Praburaj, B. * 2012: Orthogonal polynomials based low bit rate image coding

Prabuwono, A.S. * 2008: Autonomous contour tracking using staircase method for industrial robot
* 2009: Event Based Simulator for Parallel Computing over the Wide Area Network for Real Time Visualization
* 2017: Ensemble of steerable local neighbourhood grey-level information for binarization
* 2023: Hybrid Convolutional Neural Network and Random Forest for Burned Area Identification with Optical and Synthetic Aperture Radar (SAR) Data, A
Includes: Prabuwono, A.S. Prabuwono, A.S.[Anton Satria]

Index for "p"