Index for bhan

Bhandakar, S.M. * 1996: VLSI implementation of real-time image rotation

Bhandari, A. * 2010: Fractional Delay Filters Based on Generalized Cardinal Exponential Splines
* 2010: Sampling and Reconstruction of Sparse Signals in Fractional Fourier Domain
* 2014: Demultiplexing illumination via low cost sensing and nanosecond coding
* 2016: Signal Processing for Time-of-Flight Imaging Sensors: An introduction to inverse problems in computational 3-D imaging
* 2020: HDR Imaging From Quantization Noise
* 2020: HDR Tomography VIA Modulo Radon Transform
* 2020: One-Bit Time-Resolved Imaging
* 2022: Back in the US-SR: Unlimited Sampling and Sparse Super-Resolution With Its Hardware Validation
* 2022: HDR-TOF: HDR Time-of-Flight Imaging via Modulo Acquisition
* 2022: Modulo Radon Transform: Theory, Algorithms, and Applications, The
* 2022: MR.TOMP: Inversion of the Modulo Radon Transform (MRT) via Orthogonal Matching Pursuit (OMP)
* 2023: CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict
Includes: Bhandari, A. Bhandari, A.[Ayush] Bhandari, A.[Aashish]
12 for Bhandari, A.

Bhandari, A.K. * 2012: Comparative analysis of different wavelet filters for low contrast and brightness enhancement of multispectral remote sensing images
* 2018: Backtracking search algorithm for color image multilevel thresholding
* 2019: MFO-based thresholded and weighted histogram scheme for brightness preserving image enhancement
* 2019: Modified clipping based image enhancement scheme using difference of histogram bins
* 2020: Contrast Enhancement Using Novel White Balancing Parameter Optimization for Perceptually Invisible Images
* 2020: Exposure-Based Energy Curve Equalization for Enhancement of Contrast Distorted Images
* 2020: Image contrast enhancement with brightness preservation using an optimal gamma and logarithmic approach
* 2020: Low light image enhancement with adaptive sigmoid transfer function
* 2021: Context-Based Image Contrast Enhancement Using Energy Equalization With Clipping Limit, A
* 2021: Spatial Context Energy Curve-Based Multilevel 3-D Otsu Algorithm for Image Segmentation
* 2022: Fuzzified Contrast Enhancement for Nearly Invisible Images
Includes: Bhandari, A.K. Bhandari, A.K.[Ashish Kumar]
11 for Bhandari, A.K.

Bhandari, B.[Biplov] * 2018: Operational Before-After-Control-Impact (BACI) Designed Platform for Vegetation Monitoring at Planetary Scale, An
* 2020: Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine
* 2020: Predictive Analytics for Identifying Land Cover Change Hotspots in the Mekong Region
* 2021: Automatic Detection of Impervious Surfaces from Remotely Sensed Data Using Deep Learning
* 2023: Near Real-Time Mapping of Tropical Forest Disturbance Using SAR and Semantic Segmentation in Google Earth Engine, A

Bhandari, D. * 1992: Fuzzy Divergence, Probability Measure of Fuzzy Events and Image Thresholding
* 2009: Image Enhancement Using Multi-objective Genetic Algorithms
Includes: Bhandari, D. Bhandari, D.[Dinabandhu]

Bhandari, H.[Harsh] * 2021: Can a camera tell the weather?

Bhandari, K. * 2020: Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset
* 2021: Revisiting Optical Flow Estimation in 360 Videos
* 2022: Learning Omnidirectional Flow in 360° Video via Siamese Representation
Includes: Bhandari, K. Bhandari, K.[Keshav]

Bhandari, K.P. * 2012: Participatory GIS for Soil Conservation In Phewa Watershed Of Nepal

Bhandari, M.[Mahendra] * 2021: Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping
* 2024: Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters

Bhandari, S. * 2004: Efficient Set Estimator in High Dimensions: Consistency and Applications to Fast Data Visualization, An
* 2012: Preparing Landsat Image Time Series (LITS) for Monitoring Changes in Vegetation Phenology in Queensland, Australia

Bhandari, S.H.[Smriti H.] * 2015: bag-of-features approach for malignancy detection in breast histopathology images, A

Bhandarkar, S. * 1995: Surface Feature Attributed Hypergraph Representation for 3-D Object Recognition, A
* 2016: Class-Specific Object Pose Estimation and Reconstruction Using 3D Part Geometry
* 2016: Eye Tracking for Everyone
* 2019: Matching Disparate Image Pairs Using Shape-Aware ConvNets
Includes: Bhandarkar, S. Bhandarkar, S.[Suchendra]

Bhandarkar, S.M. * 1991: Pose Verification as an Optimal Assignment Problem
* 1991: Recognition and Localization of Objects with Curved Surfaces
* 1991: Sensitivity Analysis for Matching and Pose Computation Using Dihedral Junctions
* 1992: INTEGRA: An Integrated System For Range Image Understanding
* 1992: INTEGRA: An Integrated System For Range Image Understanding
* 1992: Integrating Edge and Surface Information for Range Image Segmentation
* 1992: Parallelizing Object Recognition on the Hypercube
* 1992: Qualitative Features and the Generalized Hough Transform
* 1994: Edge-Detection Technique Using Genetic Algorithm-Based Optimization, An
* 1994: Fuzzy Probabilistic Model for the Generalized Hough Transform, A
* 1994: Parallelization of Computer Vision Algorithms on a Reconfigurable Multiprocessor
* 1995: Multilayer Self-Organizing Feature Map for Range Image Segmentation, A
* 1995: Reconfigurable Architecture for Image Processing and Computer Vision, A
* 1996: Edge-Detection Technique Using Local Smoothing and Statistical Hypothesis-Testing, An
* 1996: System for Detection of Internal Log Defects by Computer Analysis of Axial CT Images, A
* 1998: Computer Vision System for Lumber Production Planning, A
* 1999: CATALOG: a system for detection and rendering of internal log defects using computer tomography
* 2000: Automated Analysis of DNA Hybridization Images
* 2001: Image Analysis for High Throughput Genomics
* 2002: Design and prototype development of a computer vision-based lumber production planning system
* 2003: Sirface vs. Fisherface: recognition using class specific linear projection
* 2004: Automated analysis of DNA hybridization images for high-throughput genomics
* 2005: Detection of cracks in computer tomography images of logs
* 2005: Fast and Robust Background Updating for Real-time Traffic Surveillance and Monitoring
* 2005: Multiple object tracking using elastic matching
* 2005: Novel Multifaceted Virtual Craniofacial Surgery Scheme Using Computer Vision, A
* 2005: Novel Tracking Framework Using Kalman Filtering and Elastic Matching, A
* 2005: Real-Time and Robust Background Updating for Video Surveillance and Monitoring
* 2005: Surface Reconstruction for Computer Vision-Based Craniofacial Surgery
* 2006: Boosted Adaptive Particle Filter for Face Detection and Tracking, A
* 2006: MMR: Mask Based Multi-Resolution Images and Videos
* 2006: Nonparametric Background Modeling Using the CONDENSATION Algorithm
* 2006: Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
* 2006: Virtual Craniofacial Reconstruction from Computed Tomography Image Sequences Exhibiting Multiple Fractures
* 2007: Hairline Fracture Detection using MRF and Gibbs Sampling
* 2007: Multiscale Parametric Background Model for Stationary Foreground Object Detection, A
* 2007: Semantics-Based Video Indexing using a Stochastic Modeling Approach
* 2007: Video-based Metrology of Water Droplet Spreading on Nanostructured Surfaces
* 2008: Hybrid layered video encoding and caching for resource constrained environments
* 2009: Face detection and tracking using a Boosted Adaptive Particle Filter
* 2009: Integrated detection and tracking of multiple faces using particle filtering and optical flow-based elastic matching
* 2009: Virtual craniofacial reconstruction using graph theory and geometric constraints
* 2011: Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective
* 2011: Shape Analysis of the Left Ventricular Endocardial Surface and Its Application in Detecting Coronary Artery Disease
* 2014: Biharmonic density estimate: A scale space signature for deformable surfaces
* 2016: Detection and characterization of Intrinsic symmetry of 3D shapes
* 2016: intensity- and region-guided narrow-band level set model for contour tracking, An
* 2016: Joint geometric graph embedding for partial shape matching in images
* 2017: Action Recognition in Still Images Using Word Embeddings from Natural Language Descriptions
* 2017: Deep Learning Paradigm for Detection of Harmful Algal Blooms, A
* 2017: Local Geometry Inclusive Global Shape Representation
* 2018: Comparison of Deep Learning Methods for Semantic Segmentation of Coral Reef Survey Images, A
* 2018: DepthNet: A Recurrent Neural Network Architecture for Monocular Depth Prediction
* 2018: Learning Hierarchical Models for Class-Specific Reconstruction from Natural Data
* 2018: Monocular Depth Prediction Using Generative Adversarial Networks
* 2018: Principal Curvature Guided Surface Geometry Aware Global Shape Representation
* 2020: Exploiting Word Embeddings for Recognition of Previously Unseen Objects
* 2021: Computer Vision-based Assistance System for the Visually Impaired Using Mobile Edge Artificial Intelligence
* 2021: Estimation of Abundance and Distribution of Salt Marsh Plants from Images Using Deep Learning
* 2021: Exploring the Limits of Zero-Shot Learning: How Low Can You Go?
* 2022: High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM
* 2022: Object Detection in 3D Coral Ecosystem Maps from Multiple Image Sequences
Includes: Bhandarkar, S.M. Bhandarkar, S.M.[Suchendra M.]
62 for Bhandarkar, S.M.

Bhandaru, M.K.[Malini K.] * 1991: Incremental learning from examples using HC-expressions
* 1991: new data structure HC-expression for learning from examples, A
* 1993: Learning Image to Symbol Conversion

Bhandary, A.[Abhir] * 2020: Deep-learning framework to detect lung abnormality: A study with chest X-Ray and lung CT scan images

Bhang, K.J. * 2007: Verification of the Vertical Error in C-Band SRTM DEM Using ICESat and Landsat-7, Otter Tail County, MN
* 2012: Analysis of Concrete Reflectance Characteristics Using Spectrometer and VNIR Hyperspectral Camera
* 2017: 3d Textured Modelling of Both Exterior And Interior of Korean Styled Architectures

Bhangale, T. * 2000: Unsupervised Scheme for Detection of Microcalcifications on Mammograms, An

Bhango, Z.[Zibusiso] * 2022: Comparison of Deep Learning Methods for Inebriation Recognition in Humans, A

Bhanja, S.N.[Soumendra N.] * 2022: Short-Term and Long-Term Replenishment of Water Storage Influenced by Lockdown and Policy Measures in Drought-Prone Regions of Central India

Bhanot, A. * 2021: Spatially Constrained Online Dictionary Learning for Source Separation

Bhanot, S. * 2013: Evolutionary design of Multiquadric radial basis functions neural network for face recognition

Bhansali, S. * 1996: Principled Approach Towards Symbolic Geometric Constraint Satisfaction, A

Bhanu, B.[Bir] * 1981: Recognition of Occluded Two Dimensional Objects
* 1982: Segmentation of Images Having Unimodal Distributions
* 1982: Segmentation of Images Having Unimodal Distributions
* 1982: Surface Representation and Shape Matching of 3-D Objects
* 1982: Three-Point Seed Method for the Extraction of Planar Faces from Range Data
* 1983: Recognition of Occluded Objects
* 1983: Segmentation of Images Using a Relaxation Technique
* 1984: Representation and Shape Matching of 3-D Objects
* 1984: Shape Matching of Two-Dimensional Objects
* 1985: 3-D Model Building using CAGD Techniques
* 1985: CAGD Based 3-D Vision
* 1985: Intrinsic Characteristics as the Interface Between CAD and Machine Vision Systems
* 1985: Overview of the computer vision and robotics programme at the University of Utah
* 1986: Automatic Target Recognition: State of the Art Survey
* 1986: CAGD-Based 3-D Visual Recognition
* 1986: Clustering Based Recognition of Occluded Objects
* 1986: Computer-Aided Geometric Design Based 3-D Models for Machine Vision
* 1986: Range Data Processing: Representation of Surfaces by Edges
* 1987: 3-D Model Building for Computer Vision
* 1987: CAD-Based 3D Object Representation for Robot Vision
* 1987: CAD-Based Robot Vision
* 1987: CAD-Based Robotics
* 1987: DRIVE: Dynamic Reasoning from Integrated Visual Evidence
* 1987: Estimation of Image Motion Using Wavefront Region Growing
* 1987: Guiding an Autonomous Land Vehicle Using Knowledge-Based Landmark Recognition
* 1987: Qualitative Motion Understanding
* 1987: Recognition of Occluded Objects: A Cluster-Structure Algorithm
* 1987: Segmentation of Natural Scenes
* 1988: Approximation of Displacement Fields Using Wavefront Region Growing
* 1988: Dynamic Scene Understanding for Autonomous Mobile Robotics
* 1988: Qualitative Motion Detection and Tracking of Targets from a Mobile Platform
* 1989: Adaptive Image Segmentation Using a Genetic Algorithm
* 1989: On Computing a Fuzzy Focus of Expansion for Autonomous Navigation
* 1989: Qualitative Target Motion Detection and Tracking
* 1989: Recognition of 3-D Objects in Range Images Using a Butterfly Multiprocessor
* 1990: Adaptive Image Segmentation
* 1990: Estimating 3-D Egomotion from Perspective Image Sequences
* 1990: Motion and Binocular Stereo Integrated System for Passive Ranging
* 1990: Multistrategy Learning Approach for Target Model Recognition, Acquisition, and Refinement, A
* 1990: Qualitative Understanding of Scene Dynamics for Mobile Robots
* 1990: Self-Optimizing Control System for Adaptive Image Segmentation
* 1990: System for computing the self-motion of moving images devices
* 1990: VLSI Design and Implementation of a Real-Time Image Segmentation Processor
* 1991: Adaptive image segmentation system
* 1991: Closed-Loop Adaptive Image Segmentation
* 1991: Qualitative Approach to Dynamic Scene Understanding, A
* 1992: Qualitative Motion Understanding
* 1992: System for Obstacle Detection During Rotorcraft Low-Altitude Flight, A
* 1993: Adaptive Image Segmentation Using Multi-Objective Evaluation and Hybrid Search Methods
* 1993: Image Understanding Research for Automatic Target Recognition
* 1994: Characterizing Natural Backgrounds for Target Detection
* 1994: Close-Loop Object Recognition Using Reinforcement Learning
* 1994: Genetic Learning for Adaptive Image Segmentation
* 1994: Hierarchical Gabor Filters for Object Detection in Infrared Images
* 1994: Image Understanding Research at UC Riverside
* 1994: Introduction to the Special Section on Learning in Computer Vision
* 1994: Learning System for Consolidated Recognition and Motion Analysis, A
* 1994: Report of the AAAI Fall Symposium on Machine Learning and Computer Vision: What, Why and How?
* 1994: Signal-to-Symbol Conversion for Structural Object Recognition Using Hidden Markov Models
* 1994: Special Issue on Innovative Applications of Computer Vision: Introduction
* 1994: Synergism of Binocular and Motion Stereo for Passive Ranging
* 1994: System for Aircraft Recognition in Perspective Aerial Images, A
* 1994: Target Detection Using Phase-Based Gabor Element Aggregation
* 1994: Target Recognition Using Multi-Scale Gabor Filters
* 1995: Adaptive Image Segmentation Using a Genetic Algorithm
* 1995: Adaptive Image Segmentation Using Genetic And Hybrid Search Methods
* 1995: Composite Phase and Phase-Based Gabor Element Aggregation
* 1995: Error Bound for Multi-Stage Synthesis of Narrow Bandwidth Gabor Filters
* 1995: Gabor Wavelets for 3-D Object Recognition
* 1996: Adaptive Object Detection Based on Modified Hebbian Learning
* 1996: Automatic Model Construction for Object Recognition Using Inverse Synthetic Aperature Radar Images
* 1996: Automatic Model Construction for Object Recognition Using ISAR Images
* 1996: Bayesian Approach for the Segmentation of SAR Images Using Dynamically Selected Neighborhoods, A
* 1996: Close-Loop Object Recognition Using Reinforcement Learning
* 1996: Delayed Reinforcement Learning for Closed-Loop Object Recognition
* 1996: Delayed Reinforcement Learning for Closed-Loop Object Recognition
* 1996: Generic Object Recognition Using Multiple Representations
* 1996: Image Understanding Research at UC Riverside: Robust Recognition of Objects in Real-World Scenes
* 1996: Modeling Clutter and Context for Target Detection in Infrared Images
* 1996: Performance Improvement by Input Adaption Using Modified Hebbian Learning
* 1996: Recognition of Articulated Objects in SAR Images
* 1996: Reinforcement Learning for Integrating Context with Clutter Models for Target Detection
* 1996: System for Obstacle Detection During Rotorcraft Low-Altitude Flight, A
* 1996: Target Indexing in SAR Images Using Scattering Centers and the Hausdorff Distance
* 1997: Analysis of Terrain Using Multispectral Images
* 1997: Gabor Wavelet Representation for 3-D Object Recognition
* 1997: Image Understanding Research at UC Riverside: Integrated Recognition, Learning and Image Databases
* 1997: Introduction to the Special Issue on Automatic Target Detection and Recognition
* 1997: Invariants for the Recognition of Articulated and Occluded Objects in SAR Images
* 1997: Matching of Articulated Objects in SAR Images
* 1997: Multiple Stochastic Models for Recognition of Occluded Targets in SAR Images
* 1997: Reinforcement learning Integrated Image Segmentation and Object Recognition
* 1997: Stochastic Models for Recognition of Articulated Objects
* 1998: Adaptive Target Recognition Using Reinforcement Learning
* 1998: Bounding Fundamental Performance of Feature-Based Object Recognition
* 1998: Close-Loop Object Recognition Using Reinforcement Learning
* 1998: Geometrical and Magnitude Invariants for Recognition of Articulated and Non-Standard Objects in MSTAR Images
* 1998: Integrated Recognition, Learning and Image Databases: Image Understanding Research at UC Riverside
* 1998: Interactive Target Recognition Using a Database-Retrieval Oriented Approach
* 1998: Learning feature relevance and similarity metrics in image databases
* 1998: Learning integrated online indexing for image databases
* 1998: Local Reinforcement Learning for Object Recognition
* 1998: Predicting object recognition performance under data uncertainty, occlusion and clutter
* 1998: Probabilistic Feature Relevance Learning for Online Indexing
* 1998: System for Model-Based Object Recognition in Perspective Aerial Images, A
* 1998: System for Model-Based Recognition of Articulated Objects, A
* 1999: Adaptive target recognition
* 1999: Performance Prediction and Validation for Object Recognition
* 1999: Probabilistic Feature Relevance Learning for Content-Based Image Retrieval
* 1999: Quasi-Invariants for Recognition of Articulated and Non-Standard Objects in SAR Images
* 1999: Recognition of Articulated and Occluded Objects
* 2000: Adaptive target recognition
* 2000: Guest Editorial: Special issue on computer vision beyond the visible spectrum
* 2000: Learning Based Interactive Image Segmentation
* 2000: Logical Templates for Feature Extraction in Fingerprint Images
* 2000: Object Recognition Results Using MSTAR Synthetic Aperture Radar Data
* 2000: Predicting Performance of Object Recognition
* 2000: Recognition of Occluded Targets Using Stochastic Models
* 2001: Exploitation of Meta Knowledge for Learning Visual Concepts
* 2001: Feature Selection for Target Detection in SAR Images
* 2001: Independent feature analysis for image retrieval
* 2001: Learned Templates for Feature Extraction in Fingerprint Images
* 2001: Local discriminative learning for pattern recognition
* 2001: Recognizing articulated objects in SAR images
* 2001: Triplet Based Approach for Indexing of Fingerprint Database for Identification, A
* 2002: Bayesian-based performance prediction for gait recognition
* 2002: Discovering operators and features for object detection
* 2002: Fingerprint verification using genetic algorithms
* 2002: Improving retrieval performance by long-term relevance information
* 2002: Individual recognition by kinematic-based gait analysis
* 2002: Introduction to the Special Issue on Innovative Applications of Computer Vision
* 2002: Kinematic-based human motion analysis in infrared sequences
* 2002: Learning semantic visual concepts from video
* 2002: Model-based recognition of articulated objects
* 2002: Moving shadow detection using a physics-based approach
* 2002: Robust fingerprint identification
* 2003: Active concept learning for image retrieval in dynamic databases
* 2003: Fingerprint identification: classification vs. indexing
* 2003: Fingerprint indexing based on novel features of minutiae triplets
* 2003: Genetic algorithm based feature selection for target detection in SAR images
* 2003: Guest Editorial: Special issue on computer vision beyond the visible spectrum 2003
* 2003: Human Recognition on Combining Kinematic and Stationary Features
* 2003: Learning Features for Fingerprint Classification
* 2003: new semi-supervised EM algorithm for image retrieval, A
* 2003: On the fundamental performance for fingerprint matching
* 2003: Reinforcement learning for combining relevance feedback techniques
* 2003: robust two step approach for fingerprint identification, A
* 2003: Stochastic models for recognition of occluded targets
* 2004: 3D free-form object recognition in range images using local surface patches
* 2004: Adaptive fusion for diurnal moving object detection
* 2004: Computational Learning for Adaptive Computer Vision
* 2004: Computer Vision Beyond the Visible Spectrum
* 2004: Discriminant features for model-based image databases
* 2004: Face recognition from face profile using dynamic time warping
* 2004: Functional template-based SAR image segmentation
* 2004: Human ear detection from side face range images
* 2004: Learning integrated perception-based speed control
* 2004: Moving Humans Detection Based on Multi-Modal Sensor Fusion
* 2004: Multiple Look Angle Sar Recognition
* 2004: On Labeling Noise and Outliers for Robust Concept Learning for Image Databases
* 2004: Physical Models for Moving Shadow and Object Detection in Video
* 2004: Physics-Based Cooperative Sensor Fusion for Moving Object Detection
* 2004: Statistical feature fusion for gait-based human recognition
* 2004: Synthesizing feature agents using evolutionary computation
* 2005: Active Concept Learning in Image Databases
* 2005: Contour Matching for 3D Ear Recognition
* 2005: Evolutionary Feature Synthesis for Image Databases
* 2005: Evolutionary feature synthesis for object recognition
* 2005: Fingerprint classification based on learned features
* 2005: Gait Recognition by Combining Classifiers Based on Environmental Contexts
* 2005: Human Activity Recognition in Thermal Infrared Imagery
* 2005: Human Recognition at a Distance in Video by Integrating Face Profile and Gait
* 2005: Human Recognition Based on Face Profiles in Video
* 2005: Integrated Prediction Model for Biometrics, An
* 2005: Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning
* 2005: Introduction to the Special Issue on Learning in Computer Vision and Pattern Recognition
* 2005: Learning Models for Predicting Recognition Performance
* 2005: Object Detection via Feature Synthesis Using MDL-Based Genetic Programming
* 2005: Performance Evaluation and Prediction for 3D Ear Recognition
* 2005: Performance prediction for individual recognition by gait
* 2005: Shape Model-Based 3D Ear Detection from Side Face Range Images
* 2005: Study on View-Insensitive Gait Recognition, A
* 2005: Tracking Humans using Multi-modal Fusion
* 2005: Visual Learning by Coevolutionary Feature Synthesis
* 2006: Evolutionary feature synthesis for facial expression recognition
* 2006: Feature Fusion of Face and Gait for Human Recognition at a Distance in Video
* 2006: Fingerprint matching by genetic algorithms
* 2006: Global-to-Local Non-Rigid Shape Registration
* 2006: Human Activity Classification Based on Gait Energy Image and Coevolutionary Genetic Programming
* 2006: Incremental Vehicle 3-D Modeling from Video
* 2006: Individual Recognition Using Gait Energy Image
* 2006: Integrating Face and Gait for Human Recognition
* 2006: Performance Prediction for Multimodal Biometrics
* 2006: Psychological Adaptive Model For Video Analysis, A
* 2006: Super-resolution Restoration of Facial Images in Video
* 2007: 3D free-form object recognition in range images using local surface patches
* 2007: Determining Topology in a Distributed Camera Network
* 2007: Fusion of color and infrared video for moving human detection
* 2007: Human Ear Recognition in 3D
* 2007: Integrating Face and Gait for Human Recognition at a Distance in Video
* 2007: Multiclass Object Recognition Based on Texture Linear Genetic Programming
* 2007: On the Performance Prediction and Validation for Multisensor Fusion
* 2007: Predicting fingerprint biometrics performance from a small gallery
* 2007: Super-Resolved Facial Texture Under Changing Pose and Illumination
* 2008: Anomalous activity classification in the distributed camera network
* 2008: Bayesian based 3D shape reconstruction from video
* 2008: Evaluating the quality of super-resolved images for face recognition
* 2008: Feature fusion of side face and gait for video-based human identification
* 2008: How current BNs fail to represent evolvable pattern recognition problems and a proposed solution
* 2008: Human Ear Recognition by Computer
* 2008: Super-resolution of deformed facial images in video
* 2008: Super-Resolution of Facial Images in Video with Expression Changes
* 2008: Utility-based dynamic camera assignment and hand-off in a video network
* 2009: Automatic symmetry-integrated brain injury detection in MRI sequences
* 2009: Continuous Learning of a Multilayered Network Topology in a Video Camera Network
* 2009: Efficient Recognition of Highly Similar 3D Objects in Range Images
* 2009: Multi-object tracking in non-stationary video using bacterial foraging swarms
* 2009: Recognition of walking humans in 3D: Initial results
* 2009: Symmetry integrated region-based image segmentation
* 2009: Symmetry-integrated injury detection for brain MRI
* 2009: Task-oriented camera assignment in a video network
* 2010: 3D Filtering for Injury Detection in Brain MRI
* 2010: 3D Human Body Modeling Using Range Data
* 2010: Age Classification Base on Gait Using HMM
* 2010: Auction protocol for camera active control
* 2010: Design and Optimization of the VideoWeb Wireless Camera Network
* 2010: Error model for scene reconstruction from motion and stereo
* 2010: Ethnicity classification based on gait using multi-view fusion
* 2010: Human Recognition at a Distance in Video
* 2010: Image retrieval with feature selection and relevance feedback
* 2010: Incremental Unsupervised Three-Dimensional Vehicle Model Learning From Video
* 2010: On the Performance of Handoff and Tracking in a Camera Network
* 2011: Distributed Video Sensor Networks
* 2011: Face recognition in video with closed-loop super-resolution
* 2011: Facial expression recognition using emotion avatar image
* 2012: biologically inspired approach for fusing facial expression and appearance for emotion recognition, A
* 2012: Boosting Face Recognition in Real-World Surveillance Videos
* 2012: Camera pan/tilt control with multiple trackers
* 2012: Cluster-Classification Bayesian Networks for head pose estimation
* 2012: Codebook optimization using word activation forces for scene categorization
* 2012: Contextual and visual modeling for detection of mild traumatic brain injury in MRI
* 2012: Detection of non-dynamic blebbing single unattached Human Embryonic Stem Cells
* 2012: Face recognition in multi-camera surveillance videos
* 2012: Facial emotion recognition in continuous video
* 2012: Image super-resolution by extreme learning machine
* 2012: Integrated personalized video summarization and retrieval
* 2012: Multiple local kernel integrated feature selection for image classification
* 2012: Real-Time Pedestrian Tracking with Bacterial Foraging Optimization
* 2012: Reflection Symmetry-Integrated Image Segmentation
* 2012: Semantic-visual concept relatedness and co-occurrences for image retrieval
* 2012: Single camera multi-person tracking based on crowd simulation
* 2012: Structural Signatures for Passenger Vehicle Classification in Video
* 2012: Understanding Discrete Facial Expressions in Video Using an Emotion Avatar Image
* 2012: Utilizing co-occurrence patterns for semantic concept detection in images
* 2012: Vehicle logo super-resolution by canonical correlation analysis
* 2012: Zombie Survival Optimization: A swarm intelligence algorithm inspired by zombie foraging
* 2013: Automated identification and retrieval of moth images with semantically related visual attributes on the wings
* 2013: Detecting mild traumatic brain injury using dynamic low level context
* 2013: Facial emotion recognition with anisotropic inhibited Gabor energy histograms
* 2013: Facial emotion recognition with anisotropic inhibited Gabor energy histograms
* 2013: Improving action units recognition using dense flow-based face registration in video
* 2013: Improving large-scale face image retrieval using multi-level features
* 2013: Learning small gallery size for prediction of recognition performance on large populations
* 2013: Optimizing crowd simulation based on real video data
* 2013: Reference-based person re-identification
* 2013: Reference-Based Scheme Combined With K-SVD for Scene Image Categorization
* 2013: Representative reference-set and betweenness centrality for scene image categorization
* 2013: Structural Signatures for Passenger Vehicle Classification in Video
* 2014: Comparison of texture features for human embryonic stem cells with bio-inspired multi-class support vector machine
* 2014: Discrete Cosine Transform Locality-Sensitive Hashes for Face Retrieval
* 2014: Efficient alignment for vehicle make and model recognition
* 2014: Evolving Bayesian Graph for Three-Dimensional Vehicle Model Building From Video
* 2014: Integrated Model for Understanding Pollen Tube Growth in Video
* 2014: One shot emotion scores for facial emotion recognition
* 2014: Online Learned Elementary Grouping Model for Multi-target Tracking, An
* 2014: Predictive models for multibiometric systems
* 2014: Soft Biometrics Integrated Multi-target Tracking
* 2014: Vision and Attention Theory Based Sampling for Continuous Facial Emotion Recognition
* 2014: Visual and Contextual Modeling for the Detection of Repeated Mild Traumatic Brain Injury
* 2014: Zapping Index: Using Smile to Measure Advertisement Zapping Likelihood
* 2015: Analysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network
* 2015: Background suppressing Gabor energy filtering
* 2015: Dynamic bi-modal fusion of images for the segmentation of pollen tubes in video
* 2015: Editorial introduction to the special issue on 'Image Understanding for Real-World Distributed Video Networks': Computer Vision and Image Understanding Journal
* 2015: People Tracking in Camera Networks: Three Open Questions
* 2015: Person Re-Identification by Robust Canonical Correlation Analysis
* 2015: To skip or not to skip? A dataset of spontaneous affective response of online advertising (SARA) for audience behavior analysis
* 2015: Tracking People by Evolving Social Groups: An Approach with Social Network Perspective
* 2016: Latent Fingerprint Image Segmentation Using Fractal Dimension Features and Weighted Extreme Learning Machine Ensemble
* 2016: Modeling and Classifying Tip Dynamics of Growing Cells in Video
* 2016: Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context
* 2016: Person Reidentification With Reference Descriptor
* 2016: Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval
* 2016: software system for automated identification and retrieval of moth images based on wing attributes, A
* 2016: Spatio-temporal pattern recognition of dendritic spines and protein dynamics using live multichannel fluorescence microscopy
* 2016: Temporal dynamics of tip fluorescence predict cell growth behavior in pollen tubes
* 2016: Understanding pollen tube growth dynamics using the Unscented Kalman Filter
* 2017: Attributes co-occurrence pattern mining for video-based person re-identification
* 2017: dense flow-based framework for real-time object registration under compound motion, A
* 2017: EDeN: Ensemble of Deep Networks for Vehicle Classification
* 2017: Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network
* 2017: Integrating Social Grouping for Multitarget Tracking Across Cameras in a CRF Model
* 2017: Iris Liveness Detection by Relative Distance Comparisons
* 2017: Novel representation for driver emotion recognition in motor vehicle videos
* 2017: On the accuracy and robustness of deep triplet embedding for fingerprint liveness detection
* 2018: 3D Reconstruction of Phase Contrast Images Using Focus Measures
* 2018: Deepagent: An Algorithm Integration Approach for Person Re-Identification
* 2018: DeepDriver: Automated System For measuring Valence and Arousal in Car Driver Videos
* 2018: DeephESC: An Automated System for Generating and Classification of Human Embryonic Stem Cells
* 2018: Dyfusion: Dynamic IR/RGB Fusion for Maritime Vessel Recognition
* 2018: HESCNET: A Synthetically Pre-Trained Convolutional Neural Network for Human Embryonic Stem Cell Colony Classification
* 2018: Latent Fingerprint Image Quality Assessment Using Deep Learning
* 2018: Multi-label Classification of Stem Cell Microscopy Images Using Deep Learning
* 2018: Patch Based Latent Fingerprint Matching Using Deep Learning
* 2018: Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics
* 2018: Unbiased Temporal Representation for Video-Based Person Re-Identification, An
* 2019: ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness
* 2020: Defending Black Box Facial Recognition Classifiers Against Adversarial Attacks
* 2020: Physical Features and Deep Learning-based Appearance Features for Vehicle Classification from Rear View Videos
* 2020: Towards Visually Explaining Variational Autoencoders
* 2021: Automated System for Generating Tactical Performance Statistics for Individual Soccer Players From Videos, An
* 2021: Depth Videos for the Classification of Micro-Expressions
* 2021: Early Wildfire Smoke Detection in Videos
* 2021: Fast Region-Adaptive Defogging and Enhancement for Outdoor Images Containing Sky
* 2021: Fully Convolutional Scene Graph Generation
* 2021: Learning Local Recurrent Models for Human Mesh Recovery
* 2021: Micro-Expression Classification based on Landmark Relations with Graph Attention Convolutional Network
* 2021: MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
* 2021: Role of Cycle Consistency for Generating Better Human Action Videos from a Single Frame, The
* 2021: SAGE: Sequential Attribute Generator for Analyzing Glioblastomas Using Limited Dataset
* 2021: SPACESeg: Automated Detection of Bed Junction Morphologies Indicating Signs of Life in Ediacaran Period
* 2022: Data Assimilation Network for Generalizable Person Re-Identification
* 2022: JEDE: Universal Jersey Number Detector for Sports
* 2022: MTKDSR: Multi-Teacher Knowledge Distillation for Super Resolution Image Reconstruction
* 2022: Privacy Preserving Defense For Black Box Classifiers Against On-Line Adversarial Attacks
* 2022: Three Stream Graph Attention Network using Dynamic Patch Selection for the classification of micro-expressions
* 2023: MonoIndoor++: Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
* 2023: Relational Edge-Node Graph Attention Network for Classification of Micro-Expressions
* 2024: Energy-Motion Features Aggregation Network for Players' Fine-Grained Action Analysis in Soccer Videos
Includes: Bhanu, B.[Bir] Bhanu, B.
339 for Bhanu, B.

Bhanu, M.[Manish] * 2021: Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction

Bhanu, S.[Shiv] * 2009: Automatic symmetry-integrated brain injury detection in MRI sequences
* 2009: Symmetry-integrated injury detection for brain MRI
* 2021: SAGE: Sequential Attribute Generator for Analyzing Glioblastomas Using Limited Dataset

Bhanushali, A. * 2020: Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization

Index for "b"