A chronological list of co-authors based on their most recent research
collaboration.
Last Collaboration: 2026
Aleksis Pirinen
2026 May DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments
2024 Dec GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
Anindya Sarkar
2026 May DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments
2025 Feb Active Geospatial Search for Efficient Tenant Eviction Outreach
2024 Dec GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
2024 May Geospatial Active Search for Preventing Evictions
2024 Jan A Visual Active Search Framework for Geospatial Exploration
2023 Dec A Partially-Supervised Reinforcement Learning Framework for Visual Active Search
Srikumar Sastry
2026 May DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments
2026 Mar VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
2026 Feb Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion
2025 Nov ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
2025 Oct Global and Local Entailment Learning for Natural World Imagery
2025 Oct LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
2025 Jun RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
2025 May Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping
2025 Mar Applications of artificial intelligence in public health: analyzing the built environment and addressing spatial inequities
2025 Feb TaxaBind: A Unified Embedding Space for Ecological Applications
2024 Dec Improved Canopy Vertical Structural Diversity Mapping Across Varied Topographies Using Deep Learning Techniques
2024 Dec ClimSatDiff: Synthesizing the Earth's Surface Conditioned on Climatic Variables using Diffusion Models
2024 Dec GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
2024 Oct PSM: Learning Probabilistic Embeddings for Multi-scale Zero-shot Soundscape Mapping
2024 Jul GeoBind: Binding text, image, and audio through satellite images
2024 Jun Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
2024 Jun Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
2024 Jun GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis
2024 Jan BirdSat: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
2023 Nov Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
2023 Jul Explorations in Self-supervised Learning for Change Detection
2023 Jul Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning
2023 Jul A Cost-sensitive Approach to Dimensionality Reduction for Multispectral Imagery
Yevgeniy Vorobeychik
2026 May DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments
2025 Feb Active Geospatial Search for Efficient Tenant Eviction Outreach
2024 Dec GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
2024 Dec Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
2024 May Geospatial Active Search for Preventing Evictions
2024 Jan A Visual Active Search Framework for Geospatial Exploration
2023 Dec A Partially-Supervised Reinforcement Learning Framework for Visual Active Search
2023 Sep Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems
Alexander Wollam
2026 Mar Towards Unconstrained Cross-View Pose Estimation
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
Brian Wei
2026 Mar VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
Dan Cher
2026 Mar VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
2025 Nov ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
Hadis Dashtestani
2026 Mar Towards Unconstrained Cross-View Pose Estimation
Ilya Yevgeniyevich Semenov
2026 Mar Towards Unconstrained Cross-View Pose Estimation
Kyle Ashley
2026 Mar Towards Unconstrained Cross-View Pose Estimation
2024 Jan ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching
Maxim Shugaev
2026 Mar Towards Unconstrained Cross-View Pose Estimation
2024 Jan ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching
Oliver Arend
2026 Mar Towards Unconstrained Cross-View Pose Estimation
Sumved Ravi
2026 Mar Towards Unconstrained Cross-View Pose Estimation
Aayush Dhakal
2026 Feb Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion
2025 Nov ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
2025 Oct LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
2025 Oct Global and Local Entailment Learning for Natural World Imagery
2025 Jun RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
2025 May Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping
2025 Feb TaxaBind: A Unified Embedding Space for Ecological Applications
2024 Dec ClimSatDiff: Synthesizing the Earth's Surface Conditioned on Climatic Variables using Diffusion Models
2024 Dec Improved Canopy Vertical Structural Diversity Mapping Across Varied Topographies Using Deep Learning Techniques
2024 Oct PSM: Learning Probabilistic Embeddings for Multi-scale Zero-shot Soundscape Mapping
2024 Oct FroSSL: Frobenius Norm Minimization for Self-Supervised Learning
2024 Jul Aligning Geo-Tagged CLIP Representations and Satellite Imagery for Few-Shot Land Use Classification
2024 Jul GeoBind: Binding text, image, and audio through satellite images
2024 Jun Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
2024 Jun GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis
2024 Jan BirdSat: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
2023 Nov Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
2023 Sep Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems
2023 Jul Explorations in Self-supervised Learning for Change Detection
Adeel Ahmad
2026 Feb Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion
2025 Oct LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
2025 Jun RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
2025 May Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping
2025 Mar Applications of artificial intelligence in public health: analyzing the built environment and addressing spatial inequities
2025 Feb Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
2025 Feb TaxaBind: A Unified Embedding Space for Ecological Applications
2024 Dec ClimSatDiff: Synthesizing the Earth's Surface Conditioned on Climatic Variables using Diffusion Models
2024 Dec Improved Canopy Vertical Structural Diversity Mapping Across Varied Topographies Using Deep Learning Techniques
2024 Dec Fields of The World (FTW!): A New Machine Learning Dataset for Agricultural Field Boundary Segmentation on Four Continents
2024 Oct PSM: Learning Probabilistic Embeddings for Multi-scale Zero-shot Soundscape Mapping
2024 Jul GeoBind: Binding text, image, and audio through satellite images
2024 Jun Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
Alex Levering
2026 Feb Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion
2024 Prompt-guided and multimodal landscape scenicness assessments with vision-language models
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
Hammad Gilani
2026 Feb Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion
Subash Khanal
2026 Feb Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion
2025 Dec Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
2025 Nov ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
2025 Oct LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
2025 Oct Global and Local Entailment Learning for Natural World Imagery
2025 Jun RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
2025 May Mixed-View Panorama Synthesis using Geospatially Guided Diffusion
2025 May Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping
2025 Feb TaxaBind: A Unified Embedding Space for Ecological Applications
2024 Dec ClimSatDiff: Synthesizing the Earth's Surface Conditioned on Climatic Variables using Diffusion Models
2024 Dec Improved Canopy Vertical Structural Diversity Mapping Across Varied Topographies Using Deep Learning Techniques
2024 Oct PSM: Learning Probabilistic Embeddings for Multi-scale Zero-shot Soundscape Mapping
2024 Jul GeoBind: Binding text, image, and audio through satellite images
2024 Jun Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
2024 Jun GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis
2024 Jan BirdSat: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
2023 Nov Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
2023 Jul Explorations in Self-supervised Learning for Change Detection
2022 Jun Causality for Inherently Explainable Transformers: CAT-XPLAIN
2022 Mar ADViT: VISION TRANSFORMER ON MULTI-MODALITY PET IMAGES FOR ALZHEIMER DISEASE DIAGNOSIS
2021 Dec Alzheimer’s Disease Classification Using Genetic Data
2021 Jul Hierarchical Probabilistic Embeddings for Multi-View Image Classification
Ahmad Elallaf
2026 Jan Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
Burhan Yaman
2026 Jan UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving
Gongbo Liang
2026 Jan Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
2023 Nov Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation through Multi-Scale Satellite Imagery and Self-Supervised Cross-Matching
2023 Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder
2023 Efficient Training on Alzheimer's Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification
2022 Aug Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity
2022 Mar Estimating Cluster Masses from SDSS Multi-band Images with Transfer Learning
2022 Mar Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set
2022 Mar ADViT: VISION TRANSFORMER ON MULTI-MODALITY PET IMAGES FOR ALZHEIMER DISEASE DIAGNOSIS
2021 Nov Dynamic Feature Alignment for Semi-supervised Domain Adaptation
2021 Oct Alzheimer's Disease Classification Using 2D Convolutional Neural Networks
2021 Oct Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features
2021 Sep Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
2021 Jan Multi-Branch Attention Networks for Classifying Galaxy Clusters
2020 Dec Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
2020 Sep A deep learning view of the census of galaxy clusters in IllustrisTNG
2020 Sep Improved Trainable Calibration Method for Neural Networks
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
2020 Jun Inconsistent Performance of Deep Learning Models on Mammogram Classification
2020 Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
2020 Neural Network Calibration for Medical Imaging Classification Using DCA Regularization
2020 Weakly-Supervised Self-Training for Breast Cancer Localization
2019 Apr Automatic Hand Skeletal Shape Estimation from Radiographs
2019 2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
2019 Joint 2D-3D Breast Cancer Classification
2019 Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
2019 Training Deep Learning Models as Radiologists: Breast Cancer Classification Using Combined whole 2D Mammography and full volume Digital Breast Tomosynthesis
2019 GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement
2019 Translational relevance of performance of deep learning models on mammograms
2019 Defense-PointNet: Protecting PointNet Against Adversarial Attacks
2018 Evaluating the Publicly Available Mammography Datasets for Deep Learning Model Training
Jingru Luo
2026 Jan UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving
Liu Ren
2026 Jan UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving
Mei Chen
2026 Jan Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
2021 Jan Applications of Deep Machine Learning to Highway Safety and Usage Assessment
2020 RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
2024 Aug MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas
2024 Jun Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
2023 Nov StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
2023 Sep Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems
Last Collaboration: 2025
Aaron Donkelaar
2025 Dec Enhancing Estimation of Daily 1-km Resolution Fine Particulate Matter Concentrations for North America with Deep Learning from Geophysical A Priori Information
2024 Dec Enhancing Estimation of Fine Particulate Matter Species Concentrations over North America by Including Geophysical a priori Information in Deep Learning
2024 Mar Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning
2022 Dec Improving representation of the AOD to $PM_2.5$ relationship with a convolutional neural network
Abby Stylianou
2025 Dec QuARI: Query Adaptive Retrieval Improvement
2025 Jun good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
2025 Jun ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
2024 Jun Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
Adrian V Rocha
2025 Dec Mapping Post-Fire Polygonal Ice Wedge Degradation in Arctic Tundra Using High Resolution Satellite Imagery and Computer Learning
Alistair Francis
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Ana M Tárano
2025 Dec Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
Caleb Robinson
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
2025 Jun Fields of The World and fiboa: Towards interoperable worldwide agricultural field boundaries through standardization and machine-learning
2025 Feb Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
2024 Dec Fields of The World (FTW!): A New Machine Learning Dataset for Agricultural Field Boundary Segmentation on Four Continents
Chi Li
2025 Dec Enhancing Estimation of Daily 1-km Resolution Fine Particulate Matter Concentrations for North America with Deep Learning from Geophysical A Priori Information
2024 Dec Enhancing Estimation of Fine Particulate Matter Species Concentrations over North America by Including Geophysical a priori Information in Deep Learning
2024 Mar Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning
Christopher Holmes
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
2024 Dec Fields of The World (FTW!): A New Machine Learning Dataset for Agricultural Field Boundary Segmentation on Four Continents
David Rolnick
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Devis Tuia
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
2024 Prompt-guided and multimodal landscape scenicness assessments with vision-language models
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
2021 Jun Towards a Collective Agenda on AI for Earth Science Data Analysis
Edward B Rastetter
2025 Dec Mapping Post-Fire Polygonal Ice Wedge Degradation in Arctic Tundra Using High Resolution Satellite Imagery and Computer Learning
Eric Xing
2025 Dec QuARI: Query Adaptive Retrieval Improvement
2025 Oct Global and Local Entailment Learning for Natural World Imagery
2025 Oct Towards Open-World Generation of Stereo Images and Unsupervised Matching
2025 Jun ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
2025 Jun good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
2025 Jun RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
2025 Mar Applications of artificial intelligence in public health: analyzing the built environment and addressing spatial inequities
2024 Dec ClimSatDiff: Synthesizing the Earth's Surface Conditioned on Climatic Variables using Diffusion Models
2024 Dec Improved Canopy Vertical Structural Diversity Mapping Across Varied Topographies Using Deep Learning Techniques
2024 Oct PSM: Learning Probabilistic Embeddings for Multi-scale Zero-shot Soundscape Mapping
2022 Aug Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity
Esther Rolf
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Evan Shelhamer
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Gedeon Muhawenayo
2025 Dec Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
Gengchen Mai
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Gustau Camps-Valls
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
2021 Jun Towards a Collective Agenda on AI for Earth Science Data Analysis
Hannah Rae Kerner
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
2025 Dec Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
2025 Jun Fields of The World and fiboa: Towards interoperable worldwide agricultural field boundaries through standardization and machine-learning
2025 Feb Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
2024 Dec Fields of The World (FTW!): A New Machine Learning Dataset for Agricultural Field Boundary Segmentation on Four Continents
2024 Jun Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
Isaac Corley
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
Jennifer Marcus
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
2025 Feb Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
2024 Dec Fields of The World (FTW!): A New Machine Learning Dataset for Agricultural Field Boundary Segmentation on Four Continents
Konstantin Klemmer
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Lester Mackey
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Lyndon D Estes
2025 Dec Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
Marc Russwurm
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Markus Reichstein
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Matthias Mohr
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
2025 Jun Fields of The World and fiboa: Towards interoperable worldwide agricultural field boundaries through standardization and machine-learning
2025 Feb Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
2024 Dec Fields of The World (FTW!): A New Machine Learning Dataset for Agricultural Field Boundary Segmentation on Four Continents
Mikolaj Czerkawski
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Oisin Mac Aodha
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Rachel Badzioch
2025 Dec Mapping Post-Fire Polygonal Ice Wedge Degradation in Arctic Tundra Using High Resolution Satellite Imagery and Computer Learning
Rahebe Abedi
2025 Dec Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
Randall V. Martin
2025 Dec Enhancing Estimation of Daily 1-km Resolution Fine Particulate Matter Concentrations for North America with Deep Learning from Geophysical A Priori Information
2024 Dec Enhancing Estimation of Fine Particulate Matter Species Concentrations over North America by Including Geophysical a priori Information in Deep Learning
2024 Mar Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning
2022 Dec Improving representation of the AOD to $PM_2.5$ relationship with a convolutional neural network
Robert Pless
2025 Dec QuARI: Query Adaptive Retrieval Improvement
2025 Jun good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
2025 Jun ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
2023 Jul A Cost-sensitive Approach to Dimensionality Reduction for Multispectral Imagery
2018 Learning Geo-Temporal Image Features
2015 Building Dynamic Cloud Maps from the Ground Up
2013 Aug Two Cloud-Based Cues for Estimating Scene Structure and Camera Calibration
2013 Webcam2Satellite: Estimating Cloud Maps from Webcam Imagery
2013 Shadow Estimation Method for "The Episolar Constraint: Monocular Shape from Shadow Correspondence"
2012 LOST: Longterm Observation of Scenes (with Tracks)
2011 The PhenoCam Website: Adventures in ``Crowd-Sourcing'' Data Collection, Distribution and Analysis
2011 On Analyzing Video with Very Small Motions
2011 Webcam Geo-localization using Aggregate Light Levels
2010 Jun Using Cloud Shadows to Infer Scene Structure and Camera Calibration
2010 Mar Compressive Sensing and Differential Image Motion Estimation
2010 Participatory Integration of Live Webcams into GIS
2009 Nov The Global Network of Outdoor Webcams: Properties and Applications
2009 Oct Efficient Tracking of Many Objects in Structured Environments
2009 Sep An Efficient System for Vehicle Tracking in Multi-Camera Networks
2009 Sep Calibrating and Using the Global Network of Outdoor Webcams
2009 Jun On Unusual Pixel Shapes and Image Motion
2009 Jun Adventures in Archiving and Using Three Years of Webcam Images
2009 Passive Vision: The Global Webcam Imaging Network
2009 Persistence and Tracking: Putting Vehicles and Trajectories in Context
2008 Aug Time Scales in Video Surveillance
2008 Jan Location-specific Transition Distributions for Tracking
2008 Jan Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras
2007 Oct Geolocating Static Cameras
2007 Jun Consistent Temporal Variations in Many Outdoor Scenes
2007 Feb Shape Background Modeling: The Shape of Things That Came
2006 Oct Real-time Constant Memory Visual Summaries for Surveillance
2006 Jun Finding Minimal Parameterizations of Cylindrical Image Manifolds
0 AMOS: The Archive of Many Outdoor Scenes
Rufai Omowunmi Balogun
2025 Dec Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
Siyuan Shen
2025 Dec Enhancing Estimation of Daily 1-km Resolution Fine Particulate Matter Concentrations for North America with Deep Learning from Geophysical A Priori Information
2024 Dec Enhancing Estimation of Fine Particulate Matter Species Concentrations over North America by Including Geophysical a priori Information in Deep Learning
2024 Mar Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning
2022 Dec Improving representation of the AOD to $PM_2.5$ relationship with a convolutional neural network
Stefano Ermon
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Tanmoy Chakraborty
2025 Dec Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
Vincent Sitzmann
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Xiaoxiang Zhu
2025 Dec Earth Embeddings: Towards AI-centric Representations of our Planet
Zhanpei Fang
2025 Dec Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation
2025 Dec Global Field Boundary Delineation Model Zoo and Tooling
Jiayu Lin
2025 Nov ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
Phoenix Jarosz
2025 Nov ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
Feng Qiao
2025 Oct Towards Open-World Generation of Stereo Images and Unsupervised Matching
2024 Aug MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas
2023 Nov StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
Xin Xing
2025 Oct LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
2025 May Mixed-View Panorama Synthesis using Geospatially Guided Diffusion
2024 Jun Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
2023 Nov Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation through Multi-Scale Satellite Imagery and Self-Supervised Cross-Matching
2023 Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder
2023 Efficient Training on Alzheimer's Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification
2022 Nov AssocFormer: Association Transformer for Multi-label Classification
2022 Aug Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity
2022 Jun Causality for Inherently Explainable Transformers: CAT-XPLAIN
2022 Mar ADViT: VISION TRANSFORMER ON MULTI-MODALITY PET IMAGES FOR ALZHEIMER DISEASE DIAGNOSIS
2021 Oct Alzheimer's Disease Classification Using 2D Convolutional Neural Networks
2021 Oct Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features
2021 Sep Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
2020 Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
2019 Phase-dependent importance of amyloid-beta, phosphorylated-tau, and hypometabolism in determining mild cognitive impairment and Alzheimer's disease: A machine learning study
2019 2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
2019 Joint 2D-3D Breast Cancer Classification
Ivor Bosloper
2025 Jun Fields of The World and fiboa: Towards interoperable worldwide agricultural field boundaries through standardization and machine-learning
Michelle Roby
2025 Jun Fields of The World and fiboa: Towards interoperable worldwide agricultural field boundaries through standardization and machine-learning
Pranavi Kolouju
2025 Jun good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
2025 Jun ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
Wanzhou Liu
2025 Jun DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal
Xinyu Li
2025 Jun DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal
Yi Xu
2025 Jun PanoDreamer: Consistent Text to 360 Scene Generation
Zhang Chen
2025 Jun PanoDreamer: Consistent Text to 360 Scene Generation
Zhong Li
2025 Jun PanoDreamer: Consistent Text to 360 Scene Generation
Scott Workman
2025 May Mixed-View Panorama Synthesis using Geospatially Guided Diffusion
2024 Jan WATCH: Wide-Area Terrestrial Change Hypercube
2022 Jun Revisiting Near/Remote Sensing with Geospatial Attention
2022 Mar Content-Based Detection of Temporal Metadata Manipulation
2022 Jan A Structure-Aware Method for Direct Pose Estimation
2020 Jan Network Architecture for Generating a Labeled Overhead Image
2020 Dynamic Traffic Modeling from Overhead Imagery
2020 Learning a Dynamic Map of Visual Appearance
2020 RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
2020 Extending Absolute Pose Regression to Multiple Scenes
2020 Single Image Cloud Detection via Multi-Image Fusion
2019 Implicit Land Use Mapping Using Social Media Imagery
2018 Learning Geo-Temporal Image Features
2018 What Goes Where: Predicting Object Distributions from Above
2024 Jan WATCH: Wide-Area Terrestrial Change Hypercube
2021 Sep Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
2021 Jul Hierarchical Probabilistic Embeddings for Multi-View Image Classification
2020 Single Image Cloud Detection via Multi-Image Fusion
2020 Extending Absolute Pose Regression to Multiple Scenes
2019 Implicit Land Use Mapping Using Social Media Imagery
2019 Learning to Map Nearly Anything
2018 Learning Geo-Temporal Image Features
2018 What Goes Where: Predicting Object Distributions from Above
2016 A Fast Method for Estimating Transient Scene Properties
2015 Jun Large-Scale Geo-Facial Image Analysis
2015 DeepFocal: A Method for Direct Focal Length Estimation
2014 GeoFaceExplorer: Exploring the Geo-Dependence of Facial Attributes
0 GeoFaces: A large database of geolocated face patches
Di Huang
2024 Jan BirdSat: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
Ilya Semenov
2024 Jan ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching
Jiarui Feng
2024 Jan A Visual Active Search Framework for Geospatial Exploration
Jonathan Crall
2024 Jan WATCH: Wide-Area Terrestrial Change Hypercube
Kristin Dana
2024 Jan WATCH: Wide-Area Terrestrial Change Hypercube
Matt Leotta
2024 Jan WATCH: Wide-Area Terrestrial Change Hypercube
Matthew Purri
2024 Jan WATCH: Wide-Area Terrestrial Change Hypercube
Michael Klaczynski
2024 Jan ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching
Mun Wai Lee
2024 Jan ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching
Naresh Cuntoor
2024 Jan ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching
Roman Garnett
2024 Jan A Visual Active Search Framework for Geospatial Exploration
Scott Alfeld
2024 Jan A Visual Active Search Framework for Geospatial Exploration
Last Collaboration: 2023
Janet Zulu
2023 Nov Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation through Multi-Scale Satellite Imagery and Self-Supervised Cross-Matching
Yu Zhang
2023 Nov StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
2023 Jul CrossAdapt: Cross-scene Adaptation for Multi-domain Depth Estimation
2023 Jul CrossSeg: Cross-scene Few-shot Aerial Segmentation Using Probabilistic Prototypes
2023 Efficient Training on Alzheimer's Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification
2022 Nov AssocFormer: Association Transformer for Multi-label Classification
2022 Mar Estimating Cluster Masses from SDSS Multi-band Images with Transfer Learning
2022 Mar ADViT: VISION TRANSFORMER ON MULTI-MODALITY PET IMAGES FOR ALZHEIMER DISEASE DIAGNOSIS
2021 Nov Dynamic Feature Alignment for Semi-supervised Domain Adaptation
2021 Oct Alzheimer's Disease Classification Using 2D Convolutional Neural Networks
2021 Sep Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
2021 Jun Unifying Guided and Unguided Outdoor Image Synthesis
2021 Jan Multi-Branch Attention Networks for Classifying Galaxy Clusters
2020 Dec Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
2020 Sep A deep learning view of the census of galaxy clusters in IllustrisTNG
2020 Sep Improved Trainable Calibration Method for Neural Networks
2020 Jun Inconsistent Performance of Deep Learning Models on Mammogram Classification
2020 Neural Network Calibration for Medical Imaging Classification Using DCA Regularization
2020 Weakly-Supervised Self-Training for Breast Cancer Localization
2019 Defense-PointNet: Protecting PointNet Against Adversarial Attacks
2019 2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
2019 Joint 2D-3D Breast Cancer Classification
2019 Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
Arthur Li
2023 Sep Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems
Aram Ansary Ogholbake
2023 Jul Fine-grained Property Value Assessment Using Probabilistic Disaggregation
Benjamin Brodie
2023 Jul A Cost-sensitive Approach to Dimensionality Reduction for Multispectral Imagery
2023 Jul Explorations in Self-supervised Learning for Change Detection
2023 Jul Fine-grained Property Value Assessment Using Probabilistic Disaggregation
2022 Jun Causality for Inherently Explainable Transformers: CAT-XPLAIN
2021 Jul Hierarchical Probabilistic Embeddings for Multi-View Image Classification
2021 Jun Unifying Guided and Unguided Outdoor Image Synthesis
Cohen Archbold
2023 Jul Fine-grained Property Value Assessment Using Probabilistic Disaggregation
Gordon Christie
2023 Jul CrossAdapt: Cross-scene Adaptation for Multi-domain Depth Estimation
2020 Sep Estimating Displaced Populations from Overhead
Jacob Birge
2023 Jul A Cost-sensitive Approach to Dimensionality Reduction for Multispectral Imagery
M. Usman Rafique
2023 Jul CrossAdapt: Cross-scene Adaptation for Multi-domain Depth Estimation
2023 Jul CrossSeg: Cross-scene Few-shot Aerial Segmentation Using Probabilistic Prototypes
2022 Jun Revisiting Near/Remote Sensing with Geospatial Attention
2021 Dec Automatic Segmentation of Sinkholes Using a Convolutional Neural Network
2020 Sep Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis
2020 Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
2020 Single Image Cloud Detection via Multi-Image Fusion
2019 Weakly Supervised Building Segmentation from Aerial Images
2019 Weakly Supervised Fusion of Multiple Overhead Images
2018 A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery
0 Brooklyn Panorama Synthesis: A large dataset of panoramic images suitable for view synthesis evaluation.
Mariana Belgiu
2023 Jul Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning
Raian Vargas Maretto
2023 Jul Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning
Ai-Ling Lin
2023 Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder
2023 Efficient Training on Alzheimer's Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification
2022 Nov AssocFormer: Association Transformer for Multi-label Classification
2022 Jun Causality for Inherently Explainable Transformers: CAT-XPLAIN
2022 Mar ADViT: VISION TRANSFORMER ON MULTI-MODALITY PET IMAGES FOR ALZHEIMER DISEASE DIAGNOSIS
2021 Dec Alzheimer’s Disease Classification Using Genetic Data
2021 Oct Alzheimer's Disease Classification Using 2D Convolutional Neural Networks
2021 Oct Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
2020 Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
2019 Phase-dependent importance of amyloid-beta, phosphorylated-tau, and hypometabolism in determining mild cognitive impairment and Alzheimer's disease: A machine learning study
Chris Wang
2023 Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder
2023 Efficient Training on Alzheimer's Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
2020 Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
Hunter Blanton
2023 Efficient Training on Alzheimer's Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification
2022 Jun Revisiting Near/Remote Sensing with Geospatial Attention
2022 Jan A Structure-Aware Method for Direct Pose Estimation
2020 Sep Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis
2020 Jun Inconsistent Performance of Deep Learning Models on Mammogram Classification
2020 Extending Absolute Pose Regression to Multiple Scenes
2020 Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
2020 Surface Modeling for Airborne LiDAR
2020 Single Image Cloud Detection via Multi-Image Fusion
2020 RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
2019 2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
2019 Joint 2D-3D Breast Cancer Classification
2019 Learning to Map Nearly Anything
2019 Remote Estimation of Free-Flow Speeds
2019 Weakly Supervised Fusion of Multiple Overhead Images
0 Brooklyn Panorama Synthesis: A large dataset of panoramic images suitable for view synthesis evaluation.
Muhammad Usman Rafique
2023 Efficient Training on Alzheimer's Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification
2021 Jul Hierarchical Probabilistic Embeddings for Multi-View Image Classification
2021 Jun Unifying Guided and Unguided Outdoor Image Synthesis
Last Collaboration: 2022
Anna Kruspe
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
Eike Jens Hoffmann
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
Hannes Taubenbock
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
Karam Abdulahhad
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
Martin Werner
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
Matthias Haberle
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
Mrinalini Kochupillai
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
Xiao Xiang Zhu
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
2021 Jun Towards a Collective Agenda on AI for Earth Science Data Analysis
Yuanyuan Wang
2022 Dec Geoinformation Harvesting From Social Media Data: A community remote sensing approach
Chong Peng
2022 Nov AssocFormer: Association Transformer for Multi-label Classification
Liangliang Liu
2022 Aug Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity
2022 Mar Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set
2021 Oct Alzheimer's Disease Classification Using 2D Convolutional Neural Networks
2021 Oct Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features
Yunni Qu
2022 Aug Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity
Dylan Steffe
2022 Mar Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set
Fernanda A. Andaló
2022 Mar Content-Based Detection of Temporal Metadata Manipulation
Halemane Ganesh
2022 Mar Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set
Jie Zhang
2022 Mar Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set
2019 GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement
Rafael Padilha
2022 Mar Content-Based Detection of Temporal Metadata Manipulation
Tawfiq Salem
2022 Mar Content-Based Detection of Temporal Metadata Manipulation
2020 Learning a Dynamic Map of Visual Appearance
2019 Learning to Map Nearly Anything
2019 Defense-PointNet: Protecting PointNet Against Adversarial Attacks
2019 Joint 2D-3D Breast Cancer Classification
2019 Remote Estimation of Free-Flow Speeds
2018 Learning Geo-Temporal Image Features
2018 A Multimodal Approach to Mapping Soundscapes
2017 Detecting the Presence of Bird Vocalizations in Audio Segments Using a Convolutional Neural Network Architecture
2016 Analyzing Human Appearance as a Cue for Dating Images
0 Face2Year: A large number of images extracted from highschool yearbooks
0 Cross-View Time (CVT)
Yuanyuan Zhang
2022 Mar Estimating Cluster Masses from SDSS Multi-band Images with Transfer Learning
2020 Dec Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
Last Collaboration: 2021
Jin Chen
2021 Dec Alzheimer’s Disease Classification Using Genetic Data
2019 GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement
Junfeng Zhu
2021 Dec Automatic Segmentation of Sinkholes Using a Convolutional Neural Network
2020 Sep Machine Learning in Identifying Karst Sinkholes from LiDAR-Derived Topographic Depressions in the Bluegrass Region of Kentucky
2019 Incorporating Machine Learning with LiDAR for Delineating Sinkholes
Qi Ying
2021 Oct Alzheimer's Disease Classification Using 2D Convolutional Neural Networks
2021 Oct Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features
Ramakanth Kavuluru
2021 Sep Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
Xiaoqin Wang
2021 Sep Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
2020 Jun Inconsistent Performance of Deep Learning Models on Mammogram Classification
2020 Weakly-Supervised Self-Training for Breast Cancer Localization
2019 Training Deep Learning Models as Radiologists: Breast Cancer Classification Using Combined whole 2D Mammography and full volume Digital Breast Tomosynthesis
2019 Translational relevance of performance of deep learning models on mammograms
2019 Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
2019 2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
2019 Joint 2D-3D Breast Cancer Classification
2018 Jul Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks
2018 Evaluating the Publicly Available Mammography Datasets for Deep Learning Model Training
2017 Whole Mammogram Image Classification With Convolutional Neural Networks
David Jones
2021 Jul Intensity Harmonization for Airborne LiDAR
Jan Dirk Wegner
2021 Jun Towards a Collective Agenda on AI for Earth Science Data Analysis
Ribana Roscher
2021 Jun Towards a Collective Agenda on AI for Earth Science Data Analysis
Weilian Song
2021 Jan Applications of Deep Machine Learning to Highway Safety and Usage Assessment
2020 RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
2017 Detecting the Presence of Bird Vocalizations in Audio Segments Using a Convolutional Neural Network Architecture
Last Collaboration: 2020
Adam Nolte
2020 Sep Machine Learning in Identifying Karst Sinkholes from LiDAR-Derived Topographic Depressions in the Bluegrass Region of Kentucky
Amber Dismer
2020 Sep Estimating Displaced Populations from Overhead
Ashley Greiner
2020 Sep Estimating Displaced Populations from Overhead
Christine Jones
2020 Sep A deep learning view of the census of galaxy clusters in IllustrisTNG
David Barnes
2020 Sep A deep learning view of the census of galaxy clusters in IllustrisTNG
Jeffrey Freeman
2020 Sep Estimating Displaced Populations from Overhead
John ZuHone
2020 Sep A deep learning view of the census of galaxy clusters in IllustrisTNG
Michelle Ntampaka
2020 Sep A deep learning view of the census of galaxy clusters in IllustrisTNG
Ming Ye
2020 Sep Machine Learning in Identifying Karst Sinkholes from LiDAR-Derived Topographic Depressions in the Bluegrass Region of Kentucky
2019 Incorporating Machine Learning with LiDAR for Delineating Sinkholes
Noah Snavely
2020 Sep Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis
Paul Nulsen
2020 Sep A deep learning view of the census of galaxy clusters in IllustrisTNG
Ralph Kraft
2020 Sep A deep learning view of the census of galaxy clusters in IllustrisTNG
Ryan Mukherjee
2020 Sep Estimating Displaced Populations from Overhead
Stevan Bullard
2020 Sep Estimating Displaced Populations from Overhead
William Forman
2020 Sep A deep learning view of the census of galaxy clusters in IllustrisTNG
Xiaoqing Wang
2020 Sep Improved Trainable Calibration Method for Neural Networks
David A. Ziegler
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
David Ma
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
Fanny Elahi
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
Kwangsik Nho
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
Lucille M. Yanckello
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
Paul K. Crane
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
Qiang Cheng
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
Tyler C. Hammond
2020 Jul Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
Zachary Bessinger
2020 Jun Inconsistent Performance of Deep Learning Models on Mammogram Classification
2019 A Generative Model of Worldwide Facial Appearance
2016 Who Goes There? Approaches to Mapping Facial Appearance Diversity
2016 Quantifying Curb Appeal
Hugo N. Bendini
2020 Apr Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest
Leandro L. Parente
2020 Apr Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest
Leila M. G. Fonseca
2020 Apr Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest
Raian V. Maretto
2020 Apr Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest
Thales S. K\"orting
2020 Apr Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest
Sean Grate
2020 Surface Modeling for Airborne LiDAR
Last Collaboration: 2019
Chase H. Clark
2019 Dec Deep Learning for Conifer/Deciduous Classification of Airborne LiDAR 3D Point Clouds Representing Individual Trees
Hamid Hamraz
2019 Dec Deep Learning for Conifer/Deciduous Classification of Airborne LiDAR 3D Point Clouds Representing Individual Trees
Marco A. Contreras
2019 Dec Deep Learning for Conifer/Deciduous Classification of Airborne LiDAR 3D Point Clouds Representing Individual Trees
Radu Paul Mihail
2019 Apr Automatic Hand Skeletal Shape Estimation from Radiographs
2016 Sky Segmentation in the Wild: An Empirical Study
2015 Using Visual Analytics to Inform Rheumatoid Arthritis Patient Choices
2014 A Pot of Gold: Rainbows as a Calibration Cue
2014 A CRF Approach to Fitting a Generalized Hand Skeleton Model
2013 Teaching Graphics for Games using Microsoft XNA
2012 Real Time Gesture Recognition With 2 Kinect Sensors
Adam M Nolte
2019 Incorporating Machine Learning with LiDAR for Delineating Sinkholes
Hasan Sajid
2019 Motion and Appearance based Background Subtraction for Freely Moving Cameras
2016 Jul Appearance based Background Subtraction for PTZ Cameras
Jinze Liu
2019 Translational relevance of performance of deep learning models on mammograms
2018 Jul Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks
2017 Whole Mammogram Image Classification With Convolutional Neural Networks
Kyle Luo
2019 Translational relevance of performance of deep learning models on mammograms
Michael A Brooks
2019 GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement
Sajjad Fouladvand
2019 GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement
Sen-ching S. Cheung
2019 Motion and Appearance based Background Subtraction for Freely Moving Cameras
2016 Jul Appearance based Background Subtraction for PTZ Cameras
Tyler Hammond
2019 Phase-dependent importance of amyloid-beta, phosphorylated-tau, and hypometabolism in determining mild cognitive impairment and Alzheimer's disease: A machine learning study
Wendi Owen
2019 Translational relevance of performance of deep learning models on mammograms
Last Collaboration: 2018
Erik Han
2018 Jul Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks
2017 Whole Mammogram Image Classification With Convolutional Neural Networks
Qiong Han
2018 Jul Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks
2017 Whole Mammogram Image Classification With Convolutional Neural Networks
Xiaofei Zhang
2018 Jul Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks
2017 Whole Mammogram Image Classification With Convolutional Neural Networks
Yi Zhang
2018 Jul Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks
2017 Whole Mammogram Image Classification With Convolutional Neural Networks
Adam Kraft
2018 A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery
Derek Jones
2018 Learning Deep Feature Representations for Kinase Polypharmacology
2018 Polypharmacology Within the Full Kinome: a Machine Learning Approach