Hampali, S.[Shreyas]
* 2020: General 3d Room Layout from a Single View by Render-and-compare
* 2020: HOnnotate: A Method for 3D Annotation of Hand and Object Poses
* 2020: Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3d Hand Pose Estimation Under Hand-object Interaction
* 2021: Monte Carlo Scene Search for 3D Scene Understanding
* 2022: Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation
* 2023: In-Hand 3D Object Scanning from an RGB Sequence
Includes: Hampali, S.[Shreyas] Hampali, S.
Hampapur, A.[Arun]
* 1995: Indexing in Video Databases
* 1997: Virage Video Engine
* 2000: Feature based indexing for Media Tracking
* 2001: Appearance Models for Occlusion Handling
* 2003: Absolute head pose estimation from overhead wide-angle cameras
* 2003: Face cataloger: multi-scale imaging for relating identity to location
* 2003: Geometric image masking for segmenting dynamic projected imagery
* 2004: Method for detecting scene changes in a digital video stream
* 2005: Acquiring Multi-Scale Images by Pan-Tilt-Zoom Control and Automatic Multi-Camera Calibration
* 2005: IBM Smart Surveillance System (S3): A Open and Extensible Framework for Event Based Surveillance
* 2005: Improving Performance via Post Track Analysis
* 2005: Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
* 2005: Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
* 2006: Appearance Models for Occlusion Handling
* 2006: Specifying, Interpreting and Detecting High-level, Spatio-Temporal Composite Events in Single and Multi-Camera Systems
* 2006: Video cataloger system with synchronized encoders
* 2007: Capturing People in Surveillance Video
* 2007: Searching surveillance video
* 2007: Video analytics for retail
* 2008: Composite Spatio-Temporal Event Detection in Multi-Camera Surveillance Networks
* 2008: Facial image analysis using local feature adaptation prior to learning
* 2008: IBM smart surveillance system (S3): event based video surveillance system with an open and extensible framework
* 2008: Integrated System for Moving Object Classification in Surveillance Videos, An
* 2008: Real-Time Detection of Abandoned and Removed Objects in Complex Environments
* 2009: Attribute-based people search in surveillance environments
* 2009: Recognition of repetitive sequential human activity
* 2009: Video Analytics in Urban Environments
* 2009: Virtual Boundary Crossing Detection without Explicit Object Tracking
* 2010: Video Analytics for Surveillance: Theory and Practice
* 2011: Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos
Includes: Hampapur, A.[Arun] Hampapur, A.
30 for Hampapur, A.
Hampe, M.[Mark]
* 2006: Extension of the OGC Web Feature Service Standard for Multiple Representation
Hampe, N.[Nils]
* 2024: Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction Using Mesh Priors
Hampejs, M.
* 2004: Approximation of Matrices by Gabor Multipliers
Hampel, H.[Horst]
* 1992: Technical features of the JBIG standard for progressive bi-level image compression
* 2012: Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset
Includes: Hampel, H.[Horst] Hampel, H.[Harald]
Hampel, U.
* 2009: Cascaded image analysis for dynamic crack detection in material testing
* 2010: Crack Detection In Load Tests For Civil Engineering Material Testing By Digital Closed Range Photogrammetry: Algorithms And Applications
Hampiholi, B.[Basavaraj]
* 2018: 3D Shape Processing by Convolutional Denoising Autoencoders on Local Patches
* 2018: Learning 3D Shapes as Multi-layered Height-Maps Using 2D Convolutional Networks
* 2020: Depthwise Separable Temporal Convolutional Network for Action Segmentation
* 2024: Temporal Context Enhanced Referring Video Object Segmentation
Includes: Hampiholi, B.[Basavaraj] Hampiholi, B.
Hampl, A.[Ales]
* 2016: Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy
Includes: Hampl, A.[Ales] Hampl, A.[Aleš]
Hampl, N.[Nina]
* 2021: Spatially Highly Resolved Ground Mounted and Rooftop Potential Analysis for Photovoltaics in Austria, A
Hamprecht, F.[Fred]
* 2016: Variational Weakly Supervised Gaussian Processes
Hamprecht, F.A.
* 2002: New Approach for Defect Detection in X-ray CT Images, A
* 2007: Selection of Local Optical Flow Models by Means of Residual Analysis
* 2007: Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
* 2008: On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
* 2008: Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification
* 2008: Weakly Supervised Learning of a Classifier for Unusual Event Detection
* 2009: Estimating Kinetic Parameter Maps From Dynamic Contrast-Enhanced MRI Using Spatial Prior Knowledge
* 2009: Multivariate Watershed Segmentation of Compositional Data
* 2009: Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times
* 2009: Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras
* 2010: Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations
* 2010: Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM, An
* 2011: Probabilistic image segmentation with closedness constraints
* 2012: Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness, A
* 2012: Efficient automatic 3D-reconstruction of branching neurons from EM data
* 2012: Globally Optimal Closed-Surface Segmentation for Connectomics
* 2012: Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models, The
* 2012: Learning to count with regression forest and structured labels
* 2012: Learning to segment dense cell nuclei with shape prior
* 2012: Learning-based mitotic cell detection in histopathological images
* 2012: Quality Classification of Microscopic Imagery with Weakly Supervised Learning
* 2012: Seeded watershed cut uncertainty estimators for guided interactive segmentation
* 2013: Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems, A
* 2013: Conservation Tracking
* 2013: K-Smallest Spanning Tree Segmentations
* 2013: Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria
* 2014: Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability
* 2014: Asymmetric Cuts: Joint Image Labeling and Partitioning
* 2014: Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning
* 2014: Multiple Instance Learning with Response-Optimized Random Forests
* 2014: Semi-Global Matching: A Principled Derivation in Terms of Message Passing
* 2014: Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning
* 2015: Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, A
* 2015: Fusion moves for correlation clustering
* 2016: Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem, An
* 2016: Gaussian Process Density Counting from Weak Supervision
* 2016: Generalized Successive Shortest Paths Solver for Tracking Dividing Targets, A
* 2016: Learning Diverse Models: The Coulomb Structured Support Vector Machine
* 2016: Structured Regression Gradient Boosting
* 2017: Diverse M-Best Solutions by Dynamic Programming
* 2017: Learned Watershed: End-to-End Learning of Seeded Segmentation
* 2017: Variational Bayesian Multiple Instance Learning with Gaussian Processes
* 2018: End-to-End Learning of Deterministic Decision Trees
* 2018: Learning Steerable Filters for Rotation Equivariant CNNs
* 2018: Mutex Watershed: Efficient, Parameter-Free Image Partitioning, The
* 2018: Neuron Segmentation With High-Level Biological Priors
* 2019: End-To-End Learned Random Walker for Seeded Image Segmentation
* 2020: End-to-End Learning of Decision Trees and Forests
* 2020: Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks
* 2020: Semantic Mutex Watershed for Efficient Bottom-up Semantic Instance Segmentation, The
* 2021: Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice
* 2021: Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning, The
* 2022: CellTypeGraph: A New Geometric Computer Vision Benchmark
* 2022: GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation
Includes: Hamprecht, F.A. Hamprecht, F.A.[Fred A.] Hamprecht, F.A.[Fred A]
54 for Hamprecht, F.A.
Hampshire, C.[Cordel]
* 2022: RDQS: A Geospatial Data Analysis System for Improving Roads Directionality Quality
Hampshire, J.B.
* 1992: Meta-Pi Network: Building Distributed Knowledge Representations for Robust Multisource Pattern Recognition, The
* 1993: Performance Evaluation of Multispectral Analysis for Surface Material Classification
* 1997: Real-Time Interactive SAR Tactical Mapper, A
* 1997: sarMapper: A Real-Time Interactive SAR Tactical Mapper
* 2000: Agent-based Moving Object Correspondence using Differential Discriminative Diagnosis
Includes: Hampshire, J.B. Hampshire, II, J.B. Hampshire, II, J.B.[John B.]
Hampson, F.J.[Frances Jane]
* 1995: grey scale morphological approach for displaced frame difference coding, A
* 1996: Pel-Recursive Motion Estimation in the Presence of Illumination Variations
* 1998: M-band Nonlinear Subband Decompositions with Perfect Reconstruction
* 2000: Motion estimation in the presence of illumination variations
Includes: Hampson, F.J.[Frances Jane] Hampson, F.J.[Frances J.] Hampson, F.J.
Hampson, K.[Keith]
* 2017: Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective
Hampson, R.
* 2020: Breast Cancer: Model Reconstruction and Image Registration From Segmented Deformed Image Using Visual and Force Based Analysis
Hampton, R.
* 2018: Polarimetric Active Transponder With Extremely Large RCS for Absolute Radiometric Calibration of SMAP Radar, A