Index for sawh

Sawhney, H.[Harpreet] Co Author Listing * Automatic 3D change detection for glaucoma diagnosis
* De-correlating CNN Features for Generative Classification
* Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries
* HO2: A new feature for multi-agent event detection and recognition
* Landmark-Based Navigation and the Acquisition of Environmental Models
* Method and apparatus for mosaic image construction
* Pedestrian Detection in Low-Resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)
* Recognition and volume estimation of food intake using a mobile device
* Recognizing Activities via Bag of Words for Attribute Dynamics
* Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
* STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos
* Super-fusion: a super-resolution method based on fusion
* Toward a sentient environment: Real-time wide area multiple human tracking with identities
* Ultra-wide Baseline Facade Matching for Geo-localization
Includes: Sawhney, H.[Harpreet] Sawhney, H.
14 for Sawhney, H.

Sawhney, H.S.[Harpreet S.] Co Author Listing * email: Sawhney, H.S.[Harpreet S.]: sawhney AT sarnoff com
* 3D Geometry from Planar Parallax
* 3d Manipulation of Motion Imagery
* 3D Model Acquisition from Monocular Image Sequences
* 3D model based vehicle classification in aerial imagery
* Action exemplar based real-time action detection
* Aerial video surveillance and exploitation
* Affine Trackability Aids Obstacle Detection
* Apparatus for enhancing images using flow estimation
* Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection
* Building segmentation for densely built urban regions using aerial LIDAR data
* Compact Representations of Videos Through Dominant and Multiple Motion Estimation
* Comparative Results of Some Motion Algorithms on Real Image Sequences
* Content-Based Matching of Videos Using Local Spatio-temporal Fingerprints
* Correlation-based Estimation of Ego-Motion and Structure from Motion and Stereo
* Depth map compression for real-time view-based rendering
* depth map representation for real-time transmission and view-based rendering of a dynamic 3D scene, A
* Description and Interpretation of Rotational Motion from Image Trajectories
* Description and Reconstruction from Image Trajectories of Rotational Motion
* Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
* Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition
* Dominant and multiple motion estimation for video representation
* Dynamic Depth Recovery from Multiple Synchronized Video Streams
* Dynamic Layer Representation with Applications to Tracking
* Efficient color histogram indexing
* Efficient Color Histogram Indexing for Quadratic Form Distance Functions
* Evaluation of low-level features and their combinations for complex event detection in open source videos
* Exploiting Model Similarity for Indexing and Matching to a Large Model Database
* Geo-spatial aerial video processing for scene understanding and object tracking
* Geospatial Registration
* Global Matching Criterion and Color Segmentation Based Stereo
* Global Matching Framework for Stereo Computation, A
* GPU Accelerated Realtime Stereo for Augmented Reality
* Heterogeneous Feature-based Image Alignment Method, A
* Identification and 3D Description of Shallow Environmental Structure in a Sequence of Images
* Identification of Highly Similar 3D Objects Using Model Saliency
* Image Description and 3-D Reconstruction from Image Trajectories of Rotational Motion
* Image to LIDAR matching for geotagging in urban environments
* Independent Motion Detection in 3D Scenes
* Influence of Global Constraints and Lens Distortion on Pose and Appearance Recovery from a Purely Rotating Camera
* Is Super-Resolution with Optical Flow Feasible?
* Landmark-Based Navigation-Model Extension and Refinement
* Layered Representation of Motion Video Using Robust Maximum-Likelihood Estimation of Mixture Models and MDL Encoding
* Learning Actions Using Robust String Kernels
* Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects
* Learning-Based Building Outline Detection from Multiple Aerial Images
* Linear model hashing and batch RANSAC for rapid and accurate object recognition
* Matching vehicles under large pose transformations using approximate 3D models and piecewise MRF model
* Mesh-based depth map compression and transmission for real-time view-based rendering
* Method and apparatus for detecting independent motion in three-dimensional scenes
* Method and apparatus for enhancing and indexing video and audio signals
* Method and apparatus for enhancing regions of aligned images using flow estimation
* Method and apparatus for estimating scene structure and ego-motion from multiple images of a scene using correlation
* Method and apparatus for processing images to compute image flow information
* Method and apparatus for tracking moving objects in a sequence of two-dimensional images using a dynamic layered representation
* Model Extension and Refinement Using Landmarks
* Model-Based 2D and 3D Dominant Motion Estimation for Mosaicing and Video Representation
* Multi-Image Alignment
* Multi-view 3D analysis with applications for augmented reality and enhanced video visualization
* Multi-View 3D Estimation and Applications to Match Move
* Multi-view image registration with application to mosaicing and lens distortion correction
* Multimedia Applications of Computer Vision
* Multimodal fusion using dynamic hybrid models
* Multiple Cue Integrated Action Detection
* Object Tracking with Bayesian Estimation of Dynamic Layer Representations
* Partial Object Matching with Shapeme Histograms
* Pedestrian detection with depth-guided structure labeling
* PEET: Prototype Embedding and Embedding Transition for Matching Vehicles over Disparate Viewpoints
* Pose Estimation, Model Refinement, and Enhanced Visualization using Video
* Query by Image and Video Content: The QBIC System
* Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation
* Real-time global localization with a pre-built visual landmark database
* Real-Time Wide Area Multi-Camera Stereo Tracking
* Registration of Video to Geo-Referenced Imagery
* Robust Object Matching for Persistent Tracking with Heterogeneous Features
* Robust Video Georegistration
* Robust Video Mosaicing Through Topology Inference and Local to Global Alignment
* Shapeme Histogram Projection and Matching for Partial Object Recognition
* Simplifying Motion and Structure Analysis Using Planar Parallax and Image Warping
* Special issue on video surveillance research in industry and academia
* Techniques and systems for developing high-resolution imagery
* Ten-fold Improvement in Visual Odometry Using Landmark Matching
* Trackability as a Cue for Potential Obstacle Identification and 3-D Description
* Tracking, Detection and 3D Representation of Potential Obstacles Using Affine Constraints
* True Multi-Image Alignment and Its Application to Mosaicing and Lens Distortion Correction
* Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras
* Vehicle detection and tracking in wide field-of-view aerial video
* Vehicle Fingerprinting for Reacquisition and Tracking in Videos
* Vehicle Identification between Non-Overlapping Cameras without Direct Feature Matching
* Vehicle tracking across nonoverlapping cameras using joint kinematic and appearance features
* Video event recognition using concept attributes
* Video Registration Panel: Key Challenges and the Potential Impact of Their Solution to the End of Computer Vision
* VideoBrush: Experiences with Consumer Video Mosaicing
Includes: Sawhney, H.S.[Harpreet S.] Sawhney, H.S. Sawhney, H.S.[Harpreet Singh]
93 for Sawhney, H.S.

Sawhney, R.[Rahul] Co Author Listing * Anisotropic Agglomerative Adaptive Mean-Shift
* GASP: Geometric Association with Surface Patches

Sawhney, V.[Vivek] Co Author Listing * deep learning approach for classification of COVID and pneumonia using DenseNet-201, A

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