Aggar, A.A.[Ammar Abdullah]
* 2022: DEVTrV2: Enhanced Data-Efficient Video Transformer For Violence Detection
Aggarval, J.
* 2017: Guest Editorial Introduction to the Special Issue on Large-Scale Video Analytics for Enhanced Security: Algorithms and Systems
Aggarwal, A.
* 1985: Minimum Area Circumscribing Polygons
* 1997: Object Tracking Using Affine Structure for Point Correspondences
* 2006: Object Tracking Using Background Subtraction and Motion Estimation in MPEG Videos
* 2015: Framework for Determination of Heart Valves' Mechanical Properties Using Inverse-Modeling Approach, A
* 2020: Detecting distraction of drivers using Convolutional Neural Network
* 2020: improved block based joint reversible data hiding in encrypted images by symmetric cryptosystem, An
* 2020: Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image
* 2021: Quo Vadis, Skeleton Action Recognition?
* 2022: Layered-garment Net: Generating Multiple Implicit Garment Layers from a Single Image
* 2023: Face image quality for actor profile image curation
* 2024: Authenticating and securing healthcare records: A deep learning-based zero watermarking approach
Includes: Aggarwal, A. Aggarwal, A.[Ashwani] Aggarwal, A.[Ankush] Aggarwal, A.[Aakash] Aggarwal, A.[Ashutosh] Aggarwal, A.[Aditya] Aggarwal, A.[Alakh] Aggarwal, A.[Abhinav]
11 for Aggarwal, A.
Aggarwal, A.K.[Ashwani Kumar]
* 2022: Neural Style Transfer for image within images and conditional GANs for destylization
Aggarwal, B.[Bharat]
* 2018: Estimating Satellite-Derived Bathymetry (SDB) with the Google Earth Engine and Sentinel-2
* 2018: Towards Global-Scale Seagrass Mapping and Monitoring Using Sentinel-2 on Google Earth Engine: The Case Study of the Aegean and Ionian Seas
Aggarwal, C.[Charu]
* 2011: Towards cross-category knowledge propagation for learning visual concepts
* 2012: Exploring Context and Content Links in Social Media: A Latent Space Method
* 2016: Online Behavioral Analysis and Modeling, Guest Editorial
* 2017: Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes
* 2023: Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Includes: Aggarwal, C.[Charu] Aggarwal, C.
Aggarwal, D.[Divyansh]
* 2018: Learning Style Compatibility for Furniture
* 2021: Identifying Missing Children: Face Age-Progression via Deep Feature Aging
* 2021: Lifting 2D StyleGAN for 3D-Aware Face Generation
Aggarwal, E.[Ekta]
* 2024: Investigating the Influence of River Geomorphology on Human Presence Using Night Light Data: A Case Study in the Indus Basin
Aggarwal, G.[Gaurav]
* 2000: Efficient Query Modification for Image Retrieval
* 2000: iPURE: Perceptual and User-friendly REtrieval of Images
* 2004: system identification approach for video-based face recognition, A
* 2005: Face Recognition in the Presence of Multiple Illumination Sources
* 2005: UMD Experiments with FRGC Data
* 2006: Biometric Verification: Looking Beyond Raw Similarity Scores
* 2006: Invariant Geometric Representation of 3D Point Clouds for Registration and Matching
* 2007: Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition
* 2007: Efficient Indexing For Articulation Invariant Shape Matching And Retrieval
* 2007: Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery
* 2007: Symmetric Objects are Hardly Ambiguous
* 2007: Video Biometrics
* 2008: Efficient Data Driven Algorithm for Multi-Sensor Alignment, An
* 2008: Exploring Ridge Curvature for Fingerprint Indexing
* 2008: Gradient based Textural Characterization of Fingerprints
* 2008: Non-generative Approach for Face Recognition Across Aging, A
* 2009: Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery
* 2010: Efficient and Robust Algorithm for Shape Indexing and Retrieval, An
* 2011: Facial marks as biometric signatures to distinguish between identical twins
* 2011: Pose-Robust Recognition of Low-Resolution Face Images
* 2011: Predicting performance of face recognition systems: An image characterization approach
* 2012: Predicting good, bad and ugly match Pairs
* 2012: sparse representation approach to face matching across plastic surgery, A
* 2013: Pose-Robust Recognition of Low-Resolution Face Images
* 2015: beauty of capturing faces: Rating the quality of digital portraits, The
* 2022: Novel Class Discovery Without Forgetting
* 2022: Spacing Loss for Discovering Novel Categories
Includes: Aggarwal, G.[Gaurav] Aggarwal, G.
27 for Aggarwal, G.
Aggarwal, H.
* 2017: Computing Egomotion with Local Loop Closures for Egocentric Videos
* 2020: Hyper-parameter optimization of deep learning model for prediction of Parkinson's disease
Includes: Aggarwal, H. Aggarwal, H.[Himanshu]
Aggarwal, H.K.
* 2013: Multi-spectral demosaicing technique for single-sensor imaging
* 2014: Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors
* 2015: Multi-spectral demosaicing: A joint-sparse elastic-net formulation
* 2017: Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification
* 2019: MoDL: Model-Based Deep Learning Architecture for Inverse Problems
* 2020: Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)
* 2020: MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI
* 2023: ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms
Includes: Aggarwal, H.K. Aggarwal, H.K.[Hemant Kumar] Aggarwal, H.K.[Hemant K.]
8 for Aggarwal, H.K.
Aggarwal, J.
* 1998: Feature Extraction of Edge by Directional Computation of Gray-Scale Variation
* 1998: Hybrid Architecture for Performance Reasoning in Classification Systems, A
Aggarwal, J.K.
* 1900: Region/Edge-Based Target Segmentation of FLIR Images Modeled by Weibull/Gaussian Distributions
* 1975: Computer Recognition of Partial Views of Three Dimensional Curved Objects
* 1975: Finding the Edges of the Surfaces of Three-Dimensional Curved Objects by Computer
* 1976: Computer Recognition of Partial Views of Three Dimensional Curved Objects
* 1977: Computer Analysis of Moving Polygonal Images
* 1977: Computer Analysis of Planar Curvilinear Moving Images
* 1977: Computer Methods in Images Analysis
* 1977: Computer Recognition of Partial Views of Curved Objects
* 1977: Interactive Computer Analysis of Aerial Color Infrared Photographs
* 1978: Computer Tracking of Three Dimensional Objects
* 1978: Dynamic Scene Analysis: A Survey
* 1978: Texture Analysis Using Generalized Co-Occurrence Matrices
* 1978: Texture Analysis Using Generalized Co-Occurrence Matrices
* 1979: Color-Based Computer Analysis of Aerial Photographs
* 1979: Comparative Texture Classification Study Based on Generalized Co-occurrence Matrices, A
* 1979: Computer Analysis of Dynamic Scenes Containing Curvilinear Figures
* 1979: Computer Analysis of Scenes with Curved Objects
* 1979: Computer Tracking of Objects Moving in Space
* 1979: Extraction of Moving Object Images Through Change Detection
* 1979: Segmentation Through the Detection of Change Due to Motion
* 1979: Texture Analysis Using Generalized Co-Occurrence Matrices
* 1980: Computer Detection and Classification of Three Citrus Infestations
* 1980: Determining the Movement of Objects from a Sequence of Images
* 1980: Differencing Operations for the Segmentation of Moving Objects in Dynamic Scenes
* 1980: Observing Jointed Objects
* 1980: Static Analysis Of Moving Jointed Objects
* 1981: Analyzing Dynamic Scenes Containing Moving Objects
* 1981: Correspondence Processes in Dynamic Scene Analysis
* 1981: Empirical Evaluation of Generalized Cooccurrence Matrices, An
* 1981: Motion and Image Differencing
* 1981: Occluding Contours in Dynamic Scenes
* 1981: Segmentation of Chromatic Images
* 1981: Structure from Motion of Rigid and Jointed Objects
* 1981: Visual Interpretation of the Motion of Objects in Space
* 1981: Visually Interpreting the Motion of Objects in Space
* 1982: Extraction of Moving Object Descriptions via Differencing
* 1982: On Combining Range and Intensity Data
* 1982: Structure from Motion of Rigid and Jointed Objects
* 1982: Survey: Representation Methods in Three-Dimensional Objects
* 1982: Volumetric Descriptions from Dynamic Scenes
* 1983: Contour Registration by Shape-Specific Points for Shape Matching
* 1983: Detection of Edges Using Range Information
* 1983: Dynamic Scene Analysis
* 1983: Experiments in Combining Intensity and Range Edge Maps
* 1983: Image analysis of solid-liquid interface morphology in freezing solutions
* 1983: Intensity Guided Range Sensing Recognition of Three-Dimensional Objects
* 1983: Motion and Time-Varying Imagery
* 1983: Normalized Quadtree Representation, A
* 1983: Rectangular Coding for Binary Images
* 1983: Shape and Correspondence
* 1983: Special Issue on Time Varying Imagery: I
* 1983: Special Issue on Time Varying Imagery: II
* 1983: Volumetric Descriptions of Objects from Multiple Views
* 1984: 3-D Reconstruction of Objects from Range Data
* 1984: Determining Motion Parameters Using Intensity Guided Range Sensing
* 1984: Determining Vanishing Points from Perspective Images
* 1984: Formulation of Parallel Image Processing Tasks
* 1984: Matching Three-Dimensional Objects Using Silhouettes
* 1984: Model for Characterizing the Motion of the Solid-Liquid Interface in Freezing Solutions, A
* 1984: Normalized Quadtree Representation, A
* 1984: Parallel Image Processing with the Shuffle Exchange Network
* 1984: Recognition with Range and Intensity Data
* 1984: Robot Guidance Using Computer Vision
* 1984: Volume/Surface Octree Representation, A
* 1985: Analysis of a Model for Parallel Image Processing
* 1985: Analyzing Orthographic Projection of Multiple 3-D Velocity Vector Fields in Optical Flow
* 1985: Artificial Intelligence Approach to Pattern Recognition: A Perspective and an Overview, The
* 1985: Construction of Surface Representation from 3-D Volumetric Scene Description
* 1985: Estimation of Position and Displacement in Space from Two Images
* 1985: Experiments in Intensity Guided Range Sensing Recognition of Three-Dimensional Objects
* 1985: Finding Range From Stereo Images
* 1985: Image Segmentation by Conventional and Information-Integrating Techniques: A Synopsis
* 1985: Inferring Local Surface Orientation with the Aid of Grid Coding
* 1985: Reconstruction and Matching of 3-D Objects using Quadtrees/Octrees
* 1985: Structure and Motion from Images
* 1985: Structure and Motion from Images Fact and Fiction
* 1985: System Organization for Parallel Image Processing, A
* 1985: Using Multisensory Images to Derive the Structure of Three-Dimensional Objects: A Review
* 1986: 3-D Model Construction from Multiple Views Using Range and Intensity Data
* 1986: Computation of Volume/Surface Octrees from Contours and Silhouettes of Multiple Views
* 1986: Computational Analysis of Time-Varying Images, A
* 1986: Computer vision and image processing research at the University of Texas at Austin
* 1986: Curvature-Based Representation of Objects From Range Data
* 1986: Determining Motion Parameters Using Intensity Guided Range Sensing
* 1986: Identification of 3D Objects from Multiple Silhouettes Using Quadtrees/Octrees
* 1986: Integrating Information from Thermal and Visual Images for Scene Analysis
* 1986: Interpretation of Structure and Motion Using Straight Line Correspondences
* 1986: Line-Based Computation of Structure and Motion Using Angular Invariance
* 1986: Motion and Time-Varying Imagery: An Overview
* 1986: Multiple Sensor Integration/Fusion through Image Processing: A Review
* 1986: Recognition of Polyhedra from Range Data
* 1986: Rectangular Parallelepiped Coding for Solid Modeling
* 1986: Rectangular Parallelepiped Coding: A Volumetric Representation of Three-Dimensional Objects
* 1986: Surface Reconstruction and Representation of 3-D Scenes
* 1986: Volume/Surface Octrees for the Representation of Three-Dimensional Objects
* 1987: 3-D Object Representation from Range Data Using Intrinsic Surface Properties
* 1987: Computation of Surface Orientation and Structure of Objects Using Grid Coding
* 1987: Determining Object Motion in a Sequence of Stereo Images
* 1987: Experiments in Computing Optical Flow with the Gradient-Based, Multiconstraint Method
* 1987: Geometry Guided Incremental Segmentation
* 1987: Integration of Active and Passive Sensing Techniques for Representing Three-Dimensional Objects
* 1987: Multiple Resolution Imagery and Texture Analysis
* 1987: Multisensor Integration: Experiments in Integrating Thermal and Visual Sensors
* 1987: Parallel 2-D Convolution On A Mesh Connected Array Processor
* 1987: Parallel image normalization on a mesh connected array processor
* 1987: Positioning Three-Dimensional Objects Using Stereo Images
* 1987: Representation and Recognition of Objects from Dense Range Maps
* 1987: Representation and Recognition of Objects from Depth Maps
* 1987: Resolving the Orientation and Identity of an Object from Range Data
* 1987: Shape Recognition from Single Silhouettes
* 1987: Triangulation Errors in Stereo Algorithms
* 1988: Analyzing Orthographic Projection of Multiple 3-D Velocity Vector Fields in Optical Flow
* 1988: Counting Straight Lines
* 1988: Determining the 3-D structure of serial-sectioned microscopic objects: analysis and limitations
* 1988: Digital Reconstruction of Three-Dimensional Serially Sectioned Optical Images
* 1988: Generation of Volume/Surface Octree from Range Data
* 1988: Integrated Analysis of Thermal and Visual Images for Scene Interpretation
* 1988: Localization of Objects from Range Data
* 1988: Motion Understanding: Robot and Human Vision
* 1988: On Smoothness of a Vector Field: Application to Optical Flow
* 1988: On the Computation of Motion from Sequences of Images: A Review
* 1988: On the Computation of Motion from Sequences of Images: A Review
* 1988: Quantization Error in Stereo Imaging
* 1988: Recent Progress in the Recognition of Objects from Range Data
* 1988: Recent Progress in the Recognition of Objects from Range Data
* 1988: Thermal and Visual Information Fusion for Outdoor Scene Perception
* 1988: Using Constancy of Distance to Estimate Position and Displacement in Space
* 1989: Counting Straight Lines
* 1989: Detection and Segmentation of Man-Made Objects in Outdoor Scenes: Concrete Bridges
* 1989: Integrated Modelling of Thermal and Visual Image Generation
* 1989: Integration of Active and Passive Sensing Techniques for Representing Three-Dimensional Objects
* 1989: Model Construction and Shape Recognition from Occluding Contours
* 1989: Navigation Using Image Sequence Analysis and 3-D Terrain Matching
* 1989: Obtaining a Solid Model from Optical Serial Sections
* 1989: Recent Progress in the Recognition of Objects from Range Data
* 1989: Reconstruction and Recognition of 3-D Objects from Occluding Contours and Silhouettes
* 1989: Structure from Stereo: A Review
* 1990: Image Segmentation Using Laser Radar Data
* 1990: Integration of Region and Edge-Based Segmentation, The
* 1990: Matching Aerial Images to 3-D Terrain Maps
* 1990: Multisensor Fusion for Automatic Scene Interpretation
* 1990: Position Estimation for a Mobile Robot in an Unstructured Environment
* 1990: Pyramid-Based Image Segmentation Using Multisensory Data
* 1990: Reconstructing 3D Lines from a Sequence of 2D Projections: Representation and Estimation
* 1990: Segmentation of 3-D Range Images Using Pyramidal Data Structures
* 1990: sliding memory array processor for low level vision, A
* 1990: Stochastic Analysis of Stereo Quantization Error
* 1990: System Design / Scheduling Strategy for Parallel Image Processing, A
* 1990: Terrain Matching by Analysis of Aerial Images
* 1990: Two-Stage Hybrid Approach to the Correspondence Problem Via Forward-Searching and Backward-Correcting, A
* 1990: Vista for a general purpose computer vision system
* 1991: 3D Structure Reconstruction from an Ego Motion Sequence Using Statistical Estimation and Detection Theory
* 1991: Analysis of Video Image Sequences Using Point and Line Correspondences
* 1991: Cost-Benefit Analysis of a Third Camera for Stereo Correspondence, A
* 1991: Estimation of Motion from a Pair of Range Images: A Review
* 1991: Interpretation of Laser Radar Images by a Knowledge-Based System
* 1991: Multi-Sensor Image Interpretation Using Laser Radar and Thermal Images
* 1991: Positional Estimation of a Mobile Robot Using Edge Visibility Regions
* 1991: Positional Estimation of a Mobile Robot Using Edge Visibility Regions
* 1992: Analysis of the Stereo Correspondence Process in Scenes with Narrow Occluding Objects
* 1992: Applying Perceptual Organization to the Detection of Man-Made Objects in Non-Urban Scenes
* 1992: Computing stereo correspondences in the presence of narrow occluding objects
* 1992: Detecting 3D Parallel Lines for Perceptual Organization
* 1992: Flexibly Coupled Hypercube Multiprocessor for High Level Vision, A
* 1992: Image Interpretation Using Multiple Sensing Modalities
* 1992: Position Estimation for an Autonomous Mobile Robot in an Outdoor Environment
* 1992: Positional Estimation Techniques for an Autonomous Mobile Robot: A Review
* 1992: Special Issue Introduction Range image understanding
* 1993: CAD-Based Vision: Object Recognition in Cluttered Range Images Using Recognition Strategies
* 1993: Calibrating a Mobile Camera's Parameters
* 1993: Image/Map Correspondence for Mobile Robot Self-Location Using Computer Graphics
* 1993: Integration of Image Segmentation Maps Using Region and Edge Information, The
* 1993: Model-Based Object Recognition in Dense Range Images
* 1993: Segmentation of 3-D Range Images Using Pyramidal Data Structures
* 1993: Significant Line Segments for an Indoor Mobile Robot
* 1994: Convergence of Fuzzy-Pyramid Algorithms
* 1994: Depth estimation using stereo fish-eye lenses
* 1994: Detecting unexpected moving obstacles that appear in the path of a navigating robot
* 1994: Reconstruction of dynamic 3-D structures of biological objects using stereo microscopy
* 1994: Role of R-and-R in Vision: Is It a Matter of definition? Reply, The
* 1994: Unified Modeling of Nonhomogeneous 3D Objects for Thermal and Visual Image Synthesis
* 1995: On comparing the performance of object recognition systems
* 1995: Representing and Estimating 3-D Lines
* 1995: Robot Self-Location Using Visual Reasoning Relative to a Single Target Object
* 1995: Stereo Matching in the Presence of Narrow Occluding Objects Using Dynamic Disparity Search
* 1995: Tracking Human Motion in an Indoor Environment
* 1996: Bayesian Range Segmentation Using Focus Cues
* 1996: Comparative Study of Three Paradigms for Object Recognition: Bayesian Statistics, Neural Networks, and Expert Systems, A
* 1996: Curve and Surface Interpolation Using Rational Radial Basis Functions
* 1996: Focused Target Segmentation Paradigm, A
* 1996: Hierarchical, Modular Architectures for Object Recognition by Parts
* 1996: Intrinsic Parameter Calibration Procedure for a (High-Distortion) Fish-Eye Lens Camera with Distortion Model and Accuracy Estimation
* 1996: Mobile Robot Self-Location Using Model-Image Feature Correspondence
* 1996: Robust Automatic Target Recognition in Second Generation FLIR Images
* 1996: Surface Correspondence and Motion Computation from a Pair of Range Images
* 1996: Tracking Human Motion Using Multiple Cameras
* 1997: Automatic Tracking of Human Motion in Indoor Scenes Across Multiple Synchronized Video Streams
* 1997: Bayesian Segmentation Framework for Textured Visual Images, A
* 1997: Line Correspondences from Cooperating Spatial and Temporal Grouping Processes for a Sequence of Images
* 1997: Mobile Robot Navigation and Scene Modeling Using Stereo Fish-Eye Lens System
* 1997: Multisensor Integration for Scene Classification: an Experiment in Human Form Detection
* 1997: Object recognition and performance bounds
* 1997: Physics-Based Integration of Multiple Sensing Modalities for Scene Interpretation
* 1997: Reconstruction of Dynamic 3D Structure of Biological Objects Using Stereo Microscope Images, The
* 1998: Automatic Tracking of Human Motion in Indoor Scenes Across Multiple Synchronized Video Streams
* 1998: Cooperative Matching Paradigm for the Analysis of Stereo Image Sequences
* 1998: Moving Obstacle Detection from a Navigating Robot
* 1998: Multiple Feature Integration for Robust Object Localization
* 1998: Nonrigid Motion Analysis: Articulated and Elastic Motion
* 1998: Parallel Image Component Labeling for Target Acquisition
* 1998: Partial Face Recognition Using Radial Basis Function Networks
* 1998: Robust Automatic Target Detection/recognition System in Second Generation FLIR Imagery
* 1999: Applying Perceptual Grouping to Content-based Image Retrieval: Building Images
* 1999: Bayesian Approach to Human Activity Recognition, A
* 1999: Detecting Moving Objects in Airborne Forward Looking Infra-Red Sequences
* 1999: Human Motion Analysis: A Review
* 1999: Tracking Human Motion in Structured Environments Using a Distributed-Camera System
* 1999: Using Structure in Content-based Image Retrieval
* 2000: Bayesian recognition of targets by parts in second generation forward looking infrared images
* 2000: Lower Level and Higher Level Approaches to Content-Based Image Retrieval
* 2000: MODEEP: A motion-based object detection and pose estimation method for airborne FLIR sequences
* 2000: Recognition of Human Interaction Using Multiple Features in Grayscale Images
* 2000: Using Head Movement to Recognize Activity
* 2001: Image Retrieval via Isotropic and Anisotropic Mappings
* 2001: Perceptual Grouping for Image Retrieval and Classification
* 2001: Segmentation and Recognition of Continuous Human Activity
* 2001: Tracking and Classifying Moving Objects from Video
* 2001: Tracking Persons and Vehicles in Outdoor Image Sequences using Temporal Spatio-Velocity Transform
* 2002: Combining structure, color and texture for image retrieval: A performance evaluation
* 2002: Image Retrieval via Isotropic and Anisotropic Mappings
* 2002: Retrieval by classification of images containing large manmade objects using perceptual grouping
* 2002: Segmentation and tracking of interacting human body parts under occlusion and shadowing
* 2003: Problems, ongoing research and future directions in motion research
* 2004: Event semantics in two-person interactions
* 2004: Human motion: modeling and recognition of actions and interactions
* 2004: Semantic-level Understanding of Human Actions and Interactions using Event Hierarchy
* 2004: Temporal spatio-velocity transform and its application to tracking and interaction
* 2005: Supervised parametric and non-parametric classification of chromosome images
* 2005: Tracking objects in occluding environments using temporal spatio-velocity transform
* 2005: Tracking soccer players using broadcast TV images
* 2005: Understanding of human motion, actions and interactions
* 2006: Detection of Fence Climbing from Monocular Video
* 2006: Detection of stable contacts for human motion analysis
* 2006: Object tracking in an outdoor environment using fusion of features and cameras
* 2006: Recognition of Composite Human Activities through Context-Free Grammar Based Representation
* 2006: Semantic Understanding of Continued and Recursive Human Activities
* 2006: Simultaneous tracking of multiple body parts of interacting persons
* 2007: 3D Face Recognition Founded on the Structural Diversity of Human Faces
* 2007: Detection of abandoned objects in crowded environments
* 2007: Hierarchical Recognition of Human Activities Interacting with Objects
* 2007: Real-time detection of illegally parked vehicles using 1-D transformation
* 2008: 3D face recognition with the average-half-face
* 2008: adaptive background model initialization algorithm with objects moving at different depths, An
* 2008: Human activities: Handling uncertainties using fuzzy time intervals
* 2008: Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects
* 2008: Recognition of box-like objects by fusing cues of shape and edges
* 2008: Recognition of High-level Group Activities Based on Activities of Individual Members
* 2008: Tracking and Segmentation of Highway Vehicles in Cluttered and Crowded Scenes
* 2009: case for the average-half-face in 2D and 3D for face recognition, A
* 2009: Detection of object abandonment using temporal logic
* 2009: Fusing face recognition from multiple cameras
* 2009: Human action recognition with extremities as semantic posture representation
* 2009: Patch-based face recognition from video
* 2009: Real-Time Illegal Parking Detection in Outdoor Environments Using 1-D Transformation
* 2009: Recognizing human action from a far field of view
* 2009: Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning
* 2009: Semantic labeling of track events using time series segmentation and shape analysis
* 2009: Semantic Representation and Recognition of Continued and Recursive Human Activities
* 2009: Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities
* 2009: Stochastic representation and recognition of high-level group activities: Describing structural uncertainties in human activities
* 2009: View independent recognition of human-vehicle interactions using 3-D models
* 2010: Counting Vehicles in Highway Surveillance Videos
* 2010: Exploiting Geometric Restrictions in a PTZ Camera for Finding Point-Correspondences Between Configurations
* 2010: Human Shadow Removal with Unknown Light Source
* 2010: Overview of Contest on Semantic Description of Human Activities (SDHA) 2010, An
* 2010: task-driven intelligent workspace system to provide guidance feedback, A
* 2010: Video scene analysis of interactions between humans and vehicles using event context
* 2011: Eigenshape kernel based mean shift for human tracking
* 2011: Facial expression recognition with temporal modeling of shapes
* 2011: Full-motion recovery from multiple video cameras applied to face tracking and recognition
* 2011: Human Activity Analysis: A Review
* 2011: Human detection using depth information by Kinect
* 2011: Is there a connection between face symmetry and face recognition?
* 2011: large-scale benchmark dataset for event recognition in surveillance video, A
* 2011: large-scale benchmark dataset for event recognition in surveillance video, A
* 2011: Modeling human activities as speech
* 2011: Occlusion robust multi-camera face tracking
* 2011: Recognition of Human Activities
* 2011: Recognizing human-vehicle interactions from aerial video without training
* 2011: Stochastic Representation and Recognition of High-Level Group Activities
* 2012: Toward a unified framework of motion understanding
* 2012: View invariant human action recognition using histograms of 3D joints
* 2013: Nonparametric Facial Feature Localization
* 2013: scalable metric learning-based voting method for expression recognition, A
* 2013: Spatio-temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera
* 2014: Human activity recognition from 3D data: A review
* 2014: Indoor Scene Recognition from RGB-D Images by Learning Scene Bases
* 2014: Scene recognition by jointly modeling latent topics
* 2014: Spontaneous facial expression recognition: A robust metric learning approach
* 2015: 3D dynamic facial expression recognition using low-resolution videos
* 2015: end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement, An
* 2015: Mining discriminative states of hands and objects to recognize egocentric actions with a wearable RGBD camera
* 2015: Robot-centric Activity Recognition from First-Person RGB-D Videos
* 2015: Robust object recognition in RGB-D egocentric videos based on Sparse Affine Hull Kernel
Includes: Aggarwal, J.K. Aggarwal, J.K.[Jake K.]
304 for Aggarwal, J.K.
Aggarwal, K.[Kamal]
* 2017: Millimeter-Wave Digital Link for Wireless MRI, A
* 2023: Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks
* 2023: Masked Image Modeling Advances 3D Medical Image Analysis
Includes: Aggarwal, K.[Kamal] Aggarwal, K.[Kriti] Aggarwal, K.[Kshitij]
Aggarwal, L.[Lavisha]
* 2022: Identity Preserving Loss for Learned Image Compression
Aggarwal, M.
* 1995: Modelling and restoration of multilook correlated speckled images
* 1996: Optimal parameter choice for a class of cubic interpolation kernels and the associated error analysis
* 2000: Camera Center Estimation
* 2000: Efficient Huffman decoding
* 2000: Estimating Sensor Orientation in Cameras
* 2000: On Generating Seamless Mosaics with Large Depth of Field
* 2001: High Dynamic Range Panoramic Imaging
* 2001: New Imaging Model, A
* 2001: On Cosine-Fourth and Vignetting Effects in Real Lenses
* 2001: Split Aperture Imaging for High Dynamic Range
* 2002: Pupil-Centric Model of Image Formation, A
* 2004: Split Aperture Imaging for High Dynamic Range
* 2005: Real-Time Wide Area Multi-Camera Stereo Tracking
* 2006: Robust Pan, Tilt and Zoom Estimation for PTZ Camera by Using Meta Data and/or Frame-to-Frame Correspondences
* 2008: Toward a sentient environment: Real-time wide area multiple human tracking with identities
* 2020: Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation
* 2020: Multi-Modal Association based Grouping for Form Structure Extraction
* 2021: Region and Relations Based Multi Attention Network for Graph Classification
* 2022: Identity Preserving Loss for Learned Image Compression
* 2022: SHERLock: Self-Supervised Hierarchical Event Representation Learning
* 2022: Transformer Based Motion In-betweening
* 2023: One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text
* 2023: Robust Partial Fingerprint Recognition
* 2024: FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data
* 2024: Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification
Includes: Aggarwal, M. Aggarwal, M.[Manoj] Aggarwal, M.[Milan] Aggarwal, M.[Manasvi] Aggarwal, M.[Madhav] Aggarwal, M.[Meenakshi]
25 for Aggarwal, M.
Aggarwal, N.
* 2000: Line Detection in Images Through Regularized Hough Transform
* 2003: Optimal sampling in parallel magnetic resonance imaging
* 2006: Line Detection in Images Through Regularized Hough Transform
* 2012: Computer Aided Diagnosis of Alzheimer's Disease from MRI Brain Images
* 2015: 3d discrete wavelet transform for computer aided diagnosis of Alzheimer's disease using t1-weighted brain MRI
* 2019: distortion-agnostic video quality metric based on multi-scale spatio-temporal structural information, A
* 2020: ResDNN: deep residual learning for natural image denoising
Includes: Aggarwal, N. Aggarwal, N.[Namita] Aggarwal, N.[Naveen]
7 for Aggarwal, N.
Aggarwal, P.[Preeti]
* 2013: Correlation between Biopsy Confirmed Cases and Radiologist's Annotations in the Detection of Lung Nodules by Expanding the Diagnostic Database Using Content Based Image Retrieval
* 2020: Fully vs. Weakly Supervised Caries Localization in Smartphone Images with CNNS
* 2022: StyleBabel: Artistic Style Tagging and Captioning
Includes: Aggarwal, P.[Preeti] Aggarwal, P.[Piush] Aggarwal, P.[Pranav]
Aggarwal, R.[Rahul]
* 2001: Efficient Selective Frame Discard Algorithms for Stored Video Delivery Across Resource Constrained Networks
* 2015: Online handwriting recognition using depth sensors
* 2016: Panoramic Stereo Videos with a Single Camera
* 2018: Spatio-Temporally Constrained Reconstruction for Hyperpolarized Carbon-13 MRI Using Kinetic Models
* 2020: Natural Disaster Building Damage Assessment Using a Two-encoder U-net
Includes: Aggarwal, R.[Rahul] Aggarwal, R.[Rajat] Aggarwal, R. Aggarwal, R.[Rajesh]
Aggarwal, R.K.
* 1978: Adaptive Image Segmentation Using Prototype Similarity
* 1979: Context Dependent Automatic Image Recognition System
Aggarwal, S.[Seema]
* 2010: MIB: Using mutual information for biclustering gene expression data
* 2014: Estimating Floor Regions in Cluttered Indoor Scenes from First Person Camera View
* 2018: Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska, An
* 2020: Text-based Person Search via Attribute-aided Matching
* 2022: PETS: P2P Energy Trading Scheduling Scheme for Electric Vehicles in Smart Grid Systems
* 2023: Path Planning for Energy Management of Smart Maritime Electric Vehicles: A Blockchain-Based Solution
* 2024: Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
Includes: Aggarwal, S.[Seema] Aggarwal, S.[Sanchit] Aggarwal, S.[Srijan] Aggarwal, S.[Surbhi] Aggarwal, S.[Shubhani] Aggarwal, S.[Saksham]
7 for Aggarwal, S.
Aggarwal, S.J.
* 1988: Computing shape changes in SOLANUM tuberosa slices viewed through a stereo microscope
* 1988: Determining the 3-D structure of serial-sectioned microscopic objects: analysis and limitations
* 1988: Digital Reconstruction of Three-Dimensional Serially Sectioned Optical Images
* 1989: Obtaining a Solid Model from Optical Serial Sections
* 1994: Reconstruction of dynamic 3-D structures of biological objects using stereo microscopy
* 1994: Semi-automatic morphological measurements of 2-D and 3-D microvascular images
* 1997: Reconstruction of Dynamic 3D Structure of Biological Objects Using Stereo Microscope Images, The
7 for Aggarwal, S.J.
Aggarwal, S.P.
* 2012: Climate and Lulc Change Scenarios To Study Its Impact On Hydrological Regime
* 2016: Hydrological Modelling and data assimilation of Satellite Snow Cover Area using a Land Surface Model, Vic
* 2020: Assessment of Early Season Agricultural Drought Using Remote Sensing
* 2020: Estimation of Hydro-meteorological Extremes In Beas Basin Over Historic, Present and Future Scenario
* 2020: Role of Earth Observation Data and Hydrological Modeling In Supporting UN SDGS In North West Himalaya
* 2020: Significance of Remote Sensing Based Precipitation and Terrain Information for Improved Hydrological and Hydrodynamic Simulation In Parts of Himalayan River Basins
* 2020: Synergistic Use of Remote Sensing, GIS and Hydrological Models For Study of August 2018 Kerala Floods
7 for Aggarwal, S.P.
Aggarwal, U.
* 2020: Active Learning for Imbalanced Datasets
* 2021: Minority Class Oriented Active Learning for Imbalanced Datasets
Includes: Aggarwal, U. Aggarwal, U.[Umang]
Aggarwal, V.
* 2013: Optimizing Cloud Resources for Delivering IPTV Services Through Virtualization
* 2016: Antenna Placement for MIMO Localization Systems With Varying Quality of Receiver Hardware Elements
* 2017: Efficient Low Rank Tensor Ring Completion
* 2017: Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model
* 2018: On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion
* 2018: Wide Compression: Tensor Ring Nets
* 2019: Deadline and Buffer Constrained Knapsack Problem
* 2019: DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning
* 2019: GiantClient: Video HotSpot for Multi-User Streaming
* 2019: Minimalistic Image Signal Processing for Deep Learning Applications
* 2019: Principal component analysis with tensor train subspace
* 2020: FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming Over HTTP
* 2020: Fundamental sampling patterns for low-rank multi-view data completion
* 2021: Blind decision making: Reinforcement learning with delayed observations
* 2021: Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery
* 2021: Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement Learning, A
* 2021: FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation
* 2022: AdaPool: A Diurnal-Adaptive Fleet Management Framework Using Model-Free Deep Reinforcement Learning and Change Point Detection
* 2022: Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk, A
* 2022: Distributed Model-Free Algorithm for Multi-Hop Ride-Sharing Using Deep Reinforcement Learning, A
* 2022: GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery
* 2022: PassGoodPool: Joint Passengers and Goods Fleet Management With Reinforcement Learning Aided Pricing, Matching, and Route Planning
* 2023: Domain Adaptive Few-Shot Open-Set Learning
* 2023: effectiveness of MAE pre-pretraining for billion-scale pretraining, The
Includes: Aggarwal, V. Aggarwal, V.[Vaneet] Aggarwal, V.[Varun] Aggarwal, V.[Vaibhav]
24 for Aggarwal, V.