Hays, B.
* 2016: Modeling The Distribution Of African Savanna Elephants In Kruger National Park: An Application Of Multi-scale Globeland30 Data
Hays, D.[Dirk]
* 2019: Quantification of Soil Organic Carbon in Biochar-Amended Soil Using Ground Penetrating Radar (GPR)
Hays, D.B.[Dirk B.]
* 2021: Prediction of Aboveground Biomass of Three Cassava (Manihot esculenta) Genotypes Using a Terrestrial Laser Scanner
* 2021: Prediction of Root Biomass in Cassava Based on Ground Penetrating Radar Phenomics
* 2021: Thresholding Analysis and Feature Extraction from 3D Ground Penetrating Radar Data for Noninvasive Assessment of Peanut Yield
* 2023: Wavelet Analysis of GPR Data for Belowground Mass Assessment of Sorghum Hybrid for Soil Carbon Sequestration
* 2023: Yield Adjustment Using GPR-Derived Spatial Covariance Structure in Cassava Field: A Preliminary Investigation
Hays, J.[James]
* 2010: SUN database: Large-scale scene recognition from abbey to zoo
* 2010: SUN database: Large-scale scene recognition from abbey to zoo
* 2011: Quality Assessment for Crowdsourced Object Annotations
* 2012: Dating Historical Color Images
* 2012: SUN attribute database: Discovering, annotating, and recognizing scene attributes
* 2012: Super-resolution from internet-scale scene matching
* 2013: Cross-View Image Geolocalization
* 2013: FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps
* 2014: Good Image Priors for Non-blind Deconvolution
* 2014: Microsoft COCO: Common Objects in Context
* 2014: Solving Square Jigsaw Puzzles with Loop Constraints
* 2014: SUN Attribute Database: Beyond Categories for Deeper Scene Understanding, The
* 2015: Guest Editorial: Scene Understanding
* 2015: Learning deep representations for ground-to-aerial geolocalization
* 2016: COCO Attributes: Attributes for People, Animals, and Objects
* 2016: Learning to Match Aerial Images with Deep Attentive Architectures
* 2016: Solving Small-Piece Jigsaw Puzzles by Growing Consensus
* 2016: SUN Database: Exploring a Large Collection of Scene Categories
* 2017: Complex Event Recognition from Images with Few Training Examples
* 2017: DeepNav: Learning to Navigate Large Cities
* 2017: Scribbler: Controlling Deep Image Synthesis with Sketch and Color
* 2018: Geometry-Aware Learning of Maps for Camera Localization
* 2018: SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
* 2018: SwapNet: Image Based Garment Transfer
* 2018: TextureGAN: Controlling Deep Image Synthesis with Texture Patches
* 2019: Argoverse: 3D Tracking and Forecasting With Rich Maps
* 2019: Composing Text and Image for Image Retrieval - an Empirical Odyssey
* 2019: ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
* 2019: Generalization in Metric Learning: Should the Embedding Layer Be Embedding Layer?
* 2019: Solving Square Jigsaw Puzzle by Hierarchical Loop Constraints
* 2020: Contactpose: A Dataset of Grasps with Object Contact and Hand Pose
* 2020: MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
* 2020: Scene Flow from Point Clouds with or without Learning
* 2020: TIDE: A General Toolbox for Identifying Object Detection Errors
* 2021: ANR: Articulated Neural Rendering for Virtual Avatars
* 2021: Pixel-aligned Volumetric Avatars
* 2022: CoGS: Controllable Generation and Search from Sketch and Style
* 2022: PressureVision: Estimating Hand Pressure from a Single RGB Image
* 2022: SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
* 2022: Sketch is Worth a Thousand Words: Image Retrieval with Text and Sketch, A
* 2023: Empirical Analysis of Range for 3D Object Detection, An
* 2023: Far3Det: Towards Far-Field 3D Detection
* 2023: MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
* 2023: Soft Augmentation for Image Classification
* 2024: PressureVision++: Estimating Fingertip Pressure from Diverse RGB Images
* 2024: Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing
Includes: Hays, J.[James] Hays, J.
46 for Hays, J.
Hays, J.H.[James H.]
* 2004: Comparison Study of Four Texture Synthesis Algorithms on Regular and Near-regular Textures, A
* 2005: Motion Texture
* 2006: Discovering Texture Regularity as a Higher-Order Correspondence Problem
* 2006: Quantitative Evaluation of Near Regular Texture Synthesis Algorithms
* 2007: Quantitative Evaluation of Symmetry Detection Algorithms, A
* 2007: Scene Completion using Millions of Photographs
* 2008: IM2GPS: estimating geographic information from a single image
* 2008: Image de-fencing
* 2008: Scene Completion using Millions of Photographs
* 2009: empirical study of context in object detection, An
* 2009: Image sequence geolocation with human travel priors
* 2009: Large Scale Scene Matching for Graphics and Vision
* 2016: Localizing and Orienting Street Views Using Overhead Imagery
* 2017: Revisiting IM2GPS in the Deep Learning Era
* 2017: StuffNet: Using Stuff to Improve Object Detection
Includes: Hays, J.H.[James H.] Hays, J.H.
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