Hare, C.
* 2002: comparison of techniques to optimize measurement of voltage changes in electrical impedance tomography by minimizing phase shift errors, A
Hare, J.
* 2000: Iterative Deconvolution of Linearly Blurred Images Using Non-parametric Stabilizing Functions, The
* 2014: Information extraction from multimedia web documents: An open-source platform and testbed
* 2018: hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification, A
* 2018: VPRS-Based Regional Decision Fusion of CNN and MRF Classifications for Very Fine Resolution Remotely Sensed Images
* 2020: Opportunities for Machine Learning and Artificial Intelligence In National Mapping Agencies: Enhancing Ordnance Survey Workflow
* 2021: Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
* 2022: TinyOps: ImageNet Scale Deep Learning on Microcontrollers
Includes: Hare, J. Hare, J.[Jonathon]
7 for Hare, J.
Hare, J.A.[Jonathan A.]
* 2006: Automated Thematic Registration of NOAA, CoastWatch, and AVHRR Images
Hare, J.S.[Jonathon S.]
* 2004: Salient Regions for Query by Image Content
* 2005: On Image Retrieval Using Salient Regions with Vector-Spaces and Latent Semantics
* 2006: Linear-Algebraic Technique with an Application in Semantic Image Retrieval, A
* 2007: Semantic Facets: An In-Depth Analysis of a Semantic Image Retrieval System
* 2008: Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces
* 2011: Efficient clustering and quantisation of SIFT features: exploiting characteristics of the SIFT descriptor and interest region detectors under image inversion
* 2012: ImageTerrier: an extensible platform for scalable high-performance image retrieval
* 2015: Detection of social events in streams of social multimedia
* 2017: Automatic Semantic Face Recognition
* 2018: Detecting heel strikes for gait analysis through acceleration flow
* 2021: On parameterizing higher-order motion for behaviour recognition
Includes: Hare, J.S.[Jonathon S.] Hare, J.S.
11 for Hare, J.S.
Hare, J.Z.[J. Zach]
* 2021: Mixed Reality Visualization of Friendly vs Hostile Decision Dynamics
* 2023: StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments
Includes: Hare, J.Z.[J. Zach] Hare, J.Z.[James Z.]
Hare, M.P.[Matthew P.]
* 2019: Crossing the chasm: a tube-map for agent-based social simulation of policy scenarios in spatially-distributed systems
Hare, S.[Sam]
* 2011: Struck: Structured Output Tracking with Kernels
* 2012: Efficient online structured output learning for keypoint-based object tracking
* 2014: Visual Object Tracking VOT2014 Challenge Results, The
* 2016: Struck: Structured Output Tracking with Kernels
Hare, T.[Trent]
* 2005: Utility of Viking Orbiter Images and Products for Mars Mapping
* 2014: High-Density LiDAR Mapping of the Ancient City of Mayapán
Includes: Hare, T.[Trent] Hare, T.[Timothy]
Hare, T.A.[Todd A.]
* 2021: On the reproducibility of in vivo temporal signal-to-noise ratio and its utility as a predictor of subject-level t-values in a functional magnetic resonance imaging study
Hare, T.M.[Trent M.]
* 2017: Towards a Planetary Spatial Data Infrastructure
* 2020: Evaluating Stereo DTM Quality At Jezero Crater, Mars with Hrsc, Ctx, And Hirise Images
* 2021: Evaluating Stereo Digital Terrain Model Quality at Mars Rover Landing Sites with HRSC, CTX, and HiRISE Images
* 2021: Further Adventures in Mars DTM Quality: Smoothing Errors, Sharpening Details
* 2024: Current Status of the Community Sensor Model Standard for the Generation of Planetary Digital Terrain Models
Includes: Hare, T.M.[Trent M.] Hare, T.M.
Haredasht, F.N.[Fateme Nateghi]
* 2020: Supervised fuzzy partitioning
Hareesh, A.S.[A. Sai]
* 2010: fast and simple gradient function guided filling order prioritization for exemplar-based color image inpainting, A
Hareesh, G.
* 2020: Nyquist Pulses for Sub-Nyquist Sampling: Application to Underwater Imaging
Harel, J.[Jonathan]
* 2012: Image Signature: Highlighting Sparse Salient Regions
Harel, M.
* 2015: Perturbed Variation, The
Harel, N.[Noam]
* 2015: Clinical deep brain stimulation region prediction using regression forests from high-field MRI
* 2021: Bayesian Post-Model-Selection Estimation
Includes: Harel, N.[Noam] Harel, N.[Nadav]
Harel, O.
* 2013: Extension of the MFLRT to Detect an Unknown Deterministic Signal Using Multiple Sensors, Applied for Precipitation Detection
Harel, P.[Peleg]
* 2021: Crossing cuts polygonal puzzles: Models and Solvers
Harel, S.[Shai]
* 2015: Effective face frontalization in unconstrained images
* 2016: Face recognition using deep multi-pose representations
* 2016: Pooling Faces: Template Based Face Recognition with Pooled Face Images
* 2019: Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild
Includes: Harel, S.[Shai] Harel, S.
Harell, A.[Alon]
* 2023: Base Layer Efficiency in Scalable Human-Machine Coding
Harenda, K.M.[Kamila M.]
* 2018: Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol
* 2021: Impact of Atmospheric Optical Properties on Net Ecosystem Productivity of Peatland in Poland
Harenstam Nielsen, L.
* 2020: Optimal least-squares solution to the hand-eye calibration problem
* 2022: Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions
* 2023: Semidefinite Relaxations for Robust Multiview Triangulation
* 2023: To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
Includes: Harenstam Nielsen, L. Härenstam-Nielsen, L. (Maybe also Haerenstam-Nielsen, L.)Härenstam-Nielsen, L.[Linus] (Maybe also Haerenstam-Nielsen, L.)
Haresh, S.[Sanjay]
* 2021: Learning by Aligning Videos in Time
* 2022: Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
Haresign, T.
* 1995: Composition of Biosonar Images for Target Recognition by Echolocating Bats
Harezlak, K.[Katarzyna]
* 2020: Judging Qualification, Gender, and Age of the Observer Based on Gaze Patterns When Looking at Faces