Pie Charts for Visualizing Query Term Frequency in Search Results. - Terry J. Anderson; Ali Hussam; Bill Plummer; Nathan Jacobs (ICADL, 2002)

Finding Minimal Parameterizations of Cylindrical Image Manifolds. - Michael Dixon; Nathan Jacobs; Robert Pless (CVPR Workshops, 2006)

Real-time constant memory visual summaries for surveillance. - Nathan Jacobs; Robert Pless (VSSN@MM, 2006)

Consistent Temporal Variations in Many Outdoor Scenes. - Nathan Jacobs; Nathaniel Roman; Robert Pless (CVPR, 2007)

Geolocating Static Cameras. - Nathan Jacobs; Scott Satkin; Nathaniel Roman; Robert Speyer; Robert Pless (ICCV, 2007)

Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras. - Nathan Jacobs; Nathaniel Roman; Robert Pless (WACV, 2008)

Time Scales in Video Surveillance. - Nathan Jacobs; Robert Pless (IEEE Trans. Circuits Syst. Video Technol., 2008)

Passive vision: The global webcam imaging network. - Nathan Jacobs; Richard Souvenir; Robert Pless (AIPR, 2009)

Persistence and tracking: Putting vehicles and trajectories in context. - Robert Pless; Michael Dixon; Nathan Jacobs; Patrick Baker; Nicholas L. Cassimatis; Derek P. Brock; Ralph Hartley; Dennis Perzanowski (AIPR, 2009)

Adventures in archiving and using three years of webcam images. - Nathan Jacobs; Walker Burgin; Robert Speyer; D. Ross; Robert Pless (CVPR Workshops, 2009)

The global network of outdoor webcams: properties and applications. - Nathan Jacobs; Walker Burgin; Nick Fridrich; Austin Abrams; Kylia Miskell; Bobby H. Braswell; Andrew D. Richardson; Robert Pless (GIS, 2009)

Efficient tracking of many objects in structured environments. - Nathan Jacobs; Michael Dixon; Scott Satkin; Robert Pless (ICCV Workshops, 2009)

An efficient system for vehicle tracking in multi-camera networks. - Michael Dixon; Nathan Jacobs; Robert Pless (ICDSC, 2009)

PhD forum: Calibrating and using the global network of outdoor webcams. - Nathan Jacobs; Robert Pless (ICDSC, 2009)

Participatory integration of live webcams into GIS. - Austin Abrams; Nick Fridrich; Nathan Jacobs; Robert Pless (COM.Geo, 2010)

Using cloud shadows to infer scene structure and camera calibration. - Nathan Jacobs; Brian Bies; Robert Pless (CVPR, 2010)

Compressive sensing and differential image-motion estimation. - Nathan Jacobs; S. Schuh; Robert Pless (ICASSP, 2010)

On analyzing video with very small motions. - Michael Dixon; Austin Abrams; Nathan Jacobs; Robert Pless (CVPR, 2011)

Webcam geo-localization using aggregate light levels. - Nathan Jacobs; Kylia Miskell; Robert Pless (WACV, 2011)

LOST: Longterm Observation of Scenes (with Tracks). - Austin Abrams; Jim Tucek; Joshua Little; Nathan Jacobs; Robert Pless (WACV, 2012)

Teaching graphics for games using Microsoft XNA. - Radu Paul Mihail; Judy Goldsmith; Nathan Jacobs; Jerzy W. Jaromczyk (CGAMES, 2013)

Cloud Motion as a Calibration Cue. - Nathan Jacobs; Mohammad T. Islam 001; Scott Workman (CVPR, 2013)

Scene geometry from several partly cloudy days. - Nathan Jacobs; Scott Workman; Richard Souvenir (ICDSC, 2013)

Webcam2Satellite: Estimating cloud maps from webcam imagery. - Calvin Murdock; Nathan Jacobs; Robert Pless (WACV, 2013)

Shadow Estimation Method for "The Episolar Constraint: Monocular Shape from Shadow Correspondence" - Austin Abrams; Christopher Hawley; Kylia Miskell; Adina Stoica; Nathan Jacobs; Robert Pless (CoRR, 2013)

Two Cloud-Based Cues for Estimating Scene Structure and Camera Calibration. - Nathan Jacobs; Austin Abrams; Robert Pless (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Received signal strength indication signature for passive UHF tags. - Ann Whitney; John Fessler; Johné M. Parker; Nathan Jacobs (AIM, 2014)

A Pot of Gold: Rainbows as a Calibration Cue. - Scott Workman; Radu Paul Mihail; Nathan Jacobs (ECCV (5), 2014)

GeoFaceExplorer: exploring the geo-dependence of facial attributes. - Connor Greenwell; Scott Spurlock; Richard Souvenir; Nathan Jacobs (GEOGROWD, 2014)

MPCA: EM-based PCA for mixed-size image datasets. - Feiyu Shi; Menghua Zhai; Drew Duncan; Nathan Jacobs (ICIP, 2014)

Covariance-Based PCA for Multi-size Data. - Menghua Zhai; Feiyu Shi; Drew Duncan; Nathan Jacobs (ICPR, 2014)

Exploring the geo-dependence of human face appearance. - Mohammad T. Islam 001; Scott Workman; Hui Wu 006; Nathan Jacobs; Richard Souvenir (WACV, 2014)

Estimating cloudmaps from outdoor image sequences. - Nathan Jacobs; Joshua King; Daniel Bowers; Richard Souvenir (WACV, 2014)

A CRF approach to fitting a generalized hand skeleton model. - Radu Paul Mihail; Gustav Blomquist; Nathan Jacobs (WACV, 2014)

On the location dependence of convolutional neural network features. - Scott Workman; Nathan Jacobs (CVPR Workshops, 2015)

Building Dynamic Cloud Maps from the Ground Up. - Calvin Murdock; Nathan Jacobs; Robert Pless (ICCV, 2015)

Wide-Area Image Geolocalization with Aerial Reference Imagery. - Scott Workman; Richard Souvenir; Nathan Jacobs (ICCV, 2015)

FACE2GPS: Estimating geographic location from facial features. - Mohammad T. Islam 001; Scott Workman; Nathan Jacobs (ICIP, 2015)

DEEPFOCAL: A method for direct focal length estimation. - Scott Workman; Connor Greenwell; Menghua Zhai; Ryan Baltenberger; Nathan Jacobs (ICIP, 2015)

Scene shape estimation from multiple partly cloudy days. - Scott Workman; Richard Souvenir; Nathan Jacobs (Comput. Vis. Image Underst., 2015)

Large-scale geo-facial image analysis. - Mohammad T. Islam 001; Connor Greenwell; Richard Souvenir; Nathan Jacobs (EURASIP J. Image Video Process., 2015)

Cross-view convolutional networks. - Nathan Jacobs; Scott Workman; Menghua Zhai (AIPR, 2016)

Horizon Lines in the Wild. - Scott Workman; Menghua Zhai; Nathan Jacobs (BMVC, 2016)

Detecting Vanishing Points Using Global Image Context in a Non-ManhattanWorld. - Menghua Zhai; Scott Workman; Nathan Jacobs (CVPR, 2016)

Who goes there?: approaches to mapping facial appearance diversity. - Zachary Bessinger; Chris Stauffer; Nathan Jacobs (SIGSPATIAL/GIS, 2016)

Quantifying curb appeal. - Zachary Bessinger; Nathan Jacobs (ICIP, 2016)

Camera geo-calibration using an MCMC approach. - Menghua Zhai; Scott Workman; Nathan Jacobs (ICIP, 2016)

A fast method for estimating transient scene attributes. - Ryan Baltenberger; Menghua Zhai; Connor Greenwell; Scott Workman; Nathan Jacobs (WACV, 2016)

Sky segmentation in the wild: An empirical study. - Radu Paul Mihail; Scott Workman; Zach Bessinger; Nathan Jacobs (WACV, 2016)

Analyzing human appearance as a cue for dating images. - Tawfiq Salem; Scott Workman; Menghua Zhai; Nathan Jacobs (WACV, 2016)

Quantifying and Predicting Image Scenicness. - Scott Workman; Richard Souvenir; Nathan Jacobs (CoRR, 2016)

Detecting Vanishing Points using Global Image Context in a Non-Manhattan World. - Menghua Zhai; Scott Workman; Nathan Jacobs (CoRR, 2016)

Cloudmaps from static ground-view video. - Nathan Jacobs; Scott Workman; Richard Souvenir (Image Vis. Comput., 2016)

Appearance based background subtraction for PTZ cameras. - Hasan Sajid; Sen-Ching S. Cheung; Nathan Jacobs (Signal Process. Image Commun., 2016)

SkyFinder Dataset. - Nathan Jacobs; Radu Paul Mihail (Zenodo, 2016)

Whole mammogram image classification with convolutional neural networks. - Xiaofei Zhang; Yi Zhang 078; Erik Y. Han; Nathan Jacobs; Qiong Han; Xiaoqin Wang; Jinze Liu (BIBM, 2017)

Predicting Ground-Level Scene Layout from Aerial Imagery. - Menghua Zhai; Zachary Bessinger; Scott Workman; Nathan Jacobs (CVPR, 2017)

Revisiting IM2GPS in the Deep Learning Era. - Nam N. Vo; Nathan Jacobs; James Hays (ICCV, 2017)

Understanding and Mapping Natural Beauty. - Scott Workman; Richard Souvenir; Nathan Jacobs (ICCV, 2017)

A Unified Model for Near and Remote Sensing. - Scott Workman; Menghua Zhai; David J. Crandall; Nathan Jacobs (ICCV, 2017)

Automatic Hand Skeletal Shape Estimation from Radiographs. - Radu Paul Mihail; Nathan Jacobs (BIBM, 2018)

Learning Geo-Temporal Image Features. - Menghua Zhai; Tawfiq Salem; Connor Greenwell; Scott Workman; Robert Pless; Nathan Jacobs (BMVC, 2018)

Learning to Look around Objects for Top-View Representations of Outdoor Scenes. - Samuel Schulter; Menghua Zhai; Nathan Jacobs; Manmohan Chandraker (ECCV (15), 2018)

A weakly supervised approach for estimating spatial density functions from high-resolution satellite imagery. - Nathan Jacobs; Adam Kraft; Muhammad Usman Rafique; Ranti Dev Sharma (SIGSPATIAL/GIS, 2018)

What Goes Where: Predicting Object Distributions from Above. - Connor Greenwell; Scott Workman; Nathan Jacobs (IGARSS, 2018)

A Multimodal Approach to Mapping Soundscapes. - Tawfiq Salem; Menghua Zhai; Scott Workman; Nathan Jacobs (IGARSS, 2018)

FARSA: Fully Automated Roadway Safety Assessment. - Weilian Song; Scott Workman; Armin Hadzic; Xu Zhang; Eric Green; Mei Chen; Reginald R. Souleyrette; Nathan Jacobs (WACV, 2018)

Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees. - Hamid Hamraz; Nathan B. Jacobs; Marco A. Contreras; Chase H. Clark (CoRR, 2018)

Implicit Land Use Mapping Using Social Media Imagery. - Connor Greenwell; Scott Workman; Nathan Jacobs (AIPR, 2019)

Joint 2D-3D Breast Cancer Classification. - Gongbo Liang; Xiaoqin Wang; Yu Zhang 094; Xin Xing 002; Hunter Blanton; Tawfiq Salem; Nathan Jacobs (BIBM, 2019)

2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. - Yu Zhang 094; Xiaoqin Wang; Hunter Blanton; Gongbo Liang; Xin Xing 002; Nathan Jacobs (BIBM, 2019)

Defense-PointNet: Protecting PointNet Against Adversarial Attacks. - Yu Zhang 094; Gongbo Liang; Tawfiq Salem; Nathan Jacobs (IEEE BigData, 2019)

Weakly Supervised Fusion of Multiple Overhead Images. - Muhammad Usman Rafique; Hunter Blanton; Nathan Jacobs (CVPR Workshops, 2019)

GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement. - Gongbo Liang; Sajjad Fouladvand; Jie Zhang 092; Michael A. Brooks; Nathan Jacobs; Jin Chen 004 (ICHI, 2019)

Weakly Supervised Building Segmentation from Aerial Images. - Muhammad Usman Rafique; Nathan Jacobs (IGARSS, 2019)

Learning to Map Nearly Anything. - Tawfiq Salem; Connor Greenwell; Hunter Blanton; Nathan Jacobs (IGARSS, 2019)

Remote Estimation of Free-Flow Speeds. - Weilian Song; Tawfiq Salem; Hunter Blanton; Nathan Jacobs (IGARSS, 2019)

A Generative Model of Worldwide Facial Appearance. - Zachary Bessinger; Nathan Jacobs (WACV, 2019)

Motion and appearance based background subtraction for freely moving cameras. - Hasan Sajid; Sen-Ching S. Cheung; Nathan Jacobs (Signal Process. Image Commun., 2019)

Improved Trainable Calibration Method for Neural Networks. - Gongbo Liang; Yu Zhang 094; Xiaoqin Wang; Nathan Jacobs (BMVC, 2020)

Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis. - Muhammad Usman Rafique; Hunter Blanton; Noah Snavely; Nathan Jacobs (BMVC, 2020)

Extending Absolute Pose Regression to Multiple Scenes. - Hunter Blanton; Connor Greenwell; Scott Workman; Nathan Jacobs (CVPR Workshops, 2020)

RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. - Armin Hadzic; Hunter Blanton; Weilian Song; Mei Chen; Scott Workman; Nathan Jacobs (CVPR Workshops, 2020)

Learning a Dynamic Map of Visual Appearance. - Tawfiq Salem; Scott Workman; Nathan Jacobs (CVPR, 2020)

Dynamic Traffic Modeling From Overhead Imagery. - Scott Workman; Nathan Jacobs (CVPR, 2020)

Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. - Xin Xing 002; Gongbo Liang; Hunter Blanton; Muhammad Usman Rafique; Chris Wang; Ai-Ling Lin; Nathan Jacobs (ECCV Workshops (1), 2020)

Weakly-Supervised Self-Training for Breast Cancer Localization*. - Gongbo Liang; Xiaoqin Wang; Yu Zhang 094; Nathan Jacobs (EMBC, 2020)

Multi-Branch Attention Networks for Classifying Galaxy Clusters. - Yu Zhang 094; Gongbo Liang; Yuanyuan Su; Nathan Jacobs (ICPR, 2020)

Surface Modeling for Airborne Lidar. - Hunter Blanton; Sean Grate; Nathan Jacobs (IGARSS, 2020)

Estimating Displaced Populations from Overhead. - Armin Hadzic; Gordon A. Christie; Jeffrey Freeman; Amber Dismer; Stevan Bullard; Ashley Greiner; Nathan Jacobs; Ryan Mukherjee (IGARSS, 2020)

Single Image Cloud Detection via Multi-Image Fusion. - Scott Workman; Muhammad Usman Rafique; Hunter Blanton; Connor Greenwell; Nathan Jacobs (IGARSS, 2020)

Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. - Yu Zhang 094; Gongbo Liang; Nathan Jacobs; Xiaoqin Wang (CoRR, 2020)

Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. - Gongbo Liang; Yu Zhang 094; Xiaoqin Wang; Nathan Jacobs (CoRR, 2020)

Weakly-Supervised Feature Learning via Text and Image Matching. - Gongbo Liang; Connor Greenwell; Yu Zhang 094; Xiaoqin Wang; Ramakanth Kavuluru; Nathan Jacobs (CoRR, 2020)

Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. - Gongbo Liang; Yuanyuan Su; Sheng-Chieh Lin; Yu Zhang 094; Yuanyuan Zhang; Nathan Jacobs (CoRR, 2020)

Alzheimer's Disease Classification Using Genetic Data. - Subash Khanal; Jin Chen 004; Nathan Jacobs; Ai-Ling Lin (BIBM, 2021)

Dynamic Feature Alignment for Semi-supervised Domain Adaptation. - Yu Zhang 094; Gongbo Liang; Nathan Jacobs (BMVC, 2021)

Unifying Guided and Unguided Outdoor Image Synthesis. - Muhammad Usman Rafique; Yu Zhang 094; Benjamin Brodie; Nathan Jacobs (CVPR Workshops, 2021)

Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. - Gongbo Liang; Xin Xing 002; Liangliang Liu 001; Yu Zhang 094; Qi Ying; Ai-Ling Lin; Nathan Jacobs (EMBC, 2021)

Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. - Qi Ying; Xin Xing 002; Liangliang Liu 001; Ai-Ling Lin; Nathan Jacobs; Gongbo Liang (EMBC, 2021)

Hierarchical Probabilistic Embeddings for Multi-View Image Classification. - Benjamin Brodie; Subash Khanal; Muhammad Usman Rafique; Connor Greenwell; Nathan Jacobs (IGARSS, 2021)

Intensity Harmonization for Airborne LiDAR. - David Jones; Nathan Jacobs (IGARSS, 2021)

Content-Based Detection of Temporal Metadata Manipulation. - Rafael Padilha; Tawfiq Salem; Scott Workman; Fernanda A. Andaló; Anderson Rocha 001; Nathan Jacobs (CoRR, 2021)

Towards a Collective Agenda on AI for Earth Science Data Analysis. - Devis Tuia; Ribana Roscher; Jan Dirk Wegner; Nathan Jacobs; Xiao Xiang Zhu 001; Gustau Camps-Valls (CoRR, 2021)

Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. - Raian Vargas Maretto; Leila M. G. Fonseca; Nathan Jacobs; Thales Sehn Körting; Hugo N. Bendini; Leandro Parente (IEEE Geosci. Remote. Sens. Lett., 2021)

An Image Dataset for Training Deep Learning Segmentation Models to Identify Karst Sinkholes. - Junfeng Zhu; Muhammad Usman Rafique; Nathan Jacobs (Zenodo, 2021)

AssocFormer: Association Transformer for Multi-label Classification. - Xin Xing 002; Chong Peng; Yu Zhang 094; Ai-Ling Lin; Nathan Jacobs (BMVC, 2022)

Revisiting Near/Remote Sensing with Geospatial Attention. - Scott Workman; Muhammad Usman Rafique; Hunter Blanton; Nathan Jacobs (CVPR, 2022)

Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. - Eric Xing; Liangliang Liu 001; Xin Xing 002; Yunni Qu; Nathan Jacobs; Gongbo Liang (ICPR, 2022)

Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. - Xin Xing 002; Gongbo Liang; Yu Zhang 094; Subash Khanal; Ai-Ling Lin; Nathan Jacobs (ISBI, 2022)

A Structure-Aware Method for Direct Pose Estimation. - Hunter Blanton; Scott Workman; Nathan Jacobs (WACV, 2022)

Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set. - Gongbo Liang; Halemane Ganesh; Dylan Steffe; Liangliang Liu 001; Nathan Jacobs; Jie Zhang 092 (BMC Medical Imaging, 2022)

Causality for Inherently Explainable Transformers: CAT-XPLAIN. - Subash Khanal; Benjamin Brodie; Xin Xing 002; Ai-Ling Lin; Nathan Jacobs (CoRR, 2022)

Geo-Information Harvesting from Social Media Data. - Xiao Xiang Zhu 001; Yuanyuan Wang 002; Mrinalini Kochupillai; Martin Werner 005; Matthias Häberle; Eike Jens Hoffmann; Hannes Taubenböck; Devis Tuia; Alex Levering; Nathan Jacobs; Anna M. Kruspe; Karam Abdulahhad (CoRR, 2022)

A Visual Active Search Framework for Geospatial Exploration. - Anindya Sarkar; Michael Lanier; Scott Alfeld; Roman Garnett; Nathan Jacobs; Yevgeniy Vorobeychik (CoRR, 2022)

Content-Aware Detection of Temporal Metadata Manipulation. - Rafael Padilha; Tawfiq Salem; Scott Workman; Fernanda A. Andaló; Anderson Rocha 001; Nathan Jacobs (IEEE Trans. Inf. Forensics Secur., 2022)

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. - Gongbo Liang; Connor Greenwell; Yu Zhang 094; Xin Xing 002; Xiaoqin Wang; Ramakanth Kavuluru; Nathan Jacobs (IEEE J. Biomed. Health Informatics, 2022)

Eroding Trust in Aerial Imagery: Comprehensive Analysis and Evaluation of Adversarial Attacks in Geospatial Systems. - Michael Lanier; Aayush Dhakal; Zhexiao Xiong; Arthur Li; Nathan Jacobs; Yevgeniy Vorobeychik (AIPR, 2023)

Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. - Subash Khanal; Srikumar Sastry; Aayush Dhakal; Nathan Jacobs (BMVC, 2023)

StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. - Zhexiao Xiong; Feng Qiao; Yu Zhang 094; Nathan Jacobs (BMVC, 2023)

Fine-Grained Property Value Assessment Using Probabilistic Disaggregation. - Cohen Archbold; Benjamin Brodie; Aram Ansary Ogholbake; Nathan Jacobs (IGARSS, 2023)

Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning. - Srikumar Sastry; Nathan Jacobs; Mariana Belgiu; Raian Vargas Maretto (IGARSS, 2023)

CrossAdapt: Cross-Scene Adaptation for Multi-Domain Depth Estimation. - Yu Zhang 094; Muhammad Usman Rafique; Gordon A. Christie; Nathan Jacobs (IGARSS, 2023)

Crossseg: Cross-Scene Few-Shot Aerial Segmentation Using Probabilistic Prototypes. - Yu Zhang 094; Muhammad Usman Rafique; Nathan Jacobs (IGARSS, 2023)

A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. - Anindya Sarkar; Nathan Jacobs; Yevgeniy Vorobeychik (NeurIPS, 2023)

Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. - Aayush Dhakal; Adeel Ahmad; Subash Khanal; Srikumar Sastry; Nathan Jacobs (CoRR, 2023)

FroSSL: Frobenius Norm Minimization for Self-Supervised Learning. - Oscar Skean; Aayush Dhakal; Nathan Jacobs; Luis Gonzalo Sánchez Giraldo (CoRR, 2023)

LD-SDM: Language-Driven Hierarchical Species Distribution Modeling. - Srikumar Sastry; Xin Xing 002; Aayush Dhakal; Subash Khanal; Adeel Ahmad; Nathan Jacobs (CoRR, 2023)

Geospatial Active Search for Preventing Evictions. - Anindya Sarkar; Alex DiChristofano; Sanmay Das; Patrick J. Fowler; Nathan Jacobs; Yevgeniy Vorobeychik (AAMAS, 2024)

Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning. - Xin Xing 002; Zhexiao Xiong; Abby Stylianou; Srikumar Sastry; Liyu Gong; Nathan Jacobs (CVPR Workshops, 2024)

Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. - Aayush Dhakal; Adeel Ahmad; Subash Khanal; Srikumar Sastry; Hannah Kerner; Nathan Jacobs (CVPR Workshops, 2024)

GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. - Srikumar Sastry; Subash Khanal; Aayush Dhakal; Nathan Jacobs (CVPR Workshops, 2024)

FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning. - Oscar Skean; Aayush Dhakal; Nathan Jacobs; Luis Gonzalo Sánchez Giraldo (ECCV (89), 2024)

Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning. - Michael Lanier; Ying Xu; Nathan Jacobs; Chongjie Zhang; Yevgeniy Vorobeychik (ICMLA, 2024)

GeoBind: Binding Text, Image, and Audio through Satellite Images. - Aayush Dhakal; Subash Khanal; Srikumar Sastry; Adeel Ahmad; Nathan Jacobs (IGARSS, 2024)

Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. - Pallavi Jain 004; Diego Marcos; Dino Ienco; Roberto Interdonato; Aayush Dhakal; Nathan Jacobs; Tristan Berchoux (IGARSS, 2024)

PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping. - Subash Khanal; Eric Xing; Srikumar Sastry; Aayush Dhakal; Zhexiao Xiong; Adeel Ahmad; Nathan Jacobs (ACM Multimedia, 2024)

GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. - Anindya Sarkar; Srikumar Sastry; Aleksis Pirinen; Chongjie Zhang; Nathan Jacobs; Yevgeniy Vorobeychik (NeurIPS, 2024)

WATCH: Wide-Area Terrestrial Change Hypercube. - Connor Greenwell; Jon Crall; Matthew Purri; Kristin J. Dana; Nathan Jacobs; Armin Hadzic; Scott Workman; Matthew J. Leotta (WACV, 2024)

A Visual Active Search Framework for Geospatial Exploration. - Anindya Sarkar; Michael Lanier; Scott Alfeld; Jiarui Feng; Roman Garnett; Nathan Jacobs; Yevgeniy Vorobeychik (WACV, 2024)

BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. - Srikumar Sastry; Subash Khanal; Aayush Dhakal; Di Huang; Nathan Jacobs (WACV, 2024)

ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching. - Maxim Shugaev; Ilya Semenov; Kyle Ashley; Michael Klaczynski; Naresh P. Cuntoor; Mun Wai Lee; Nathan Jacobs (WACV, 2024)

Interactive Event Sifting using Bayesian Graph Neural Networks. - José Nascimento; Nathan Jacobs; Anderson Rocha 001 (WIFS, 2024)

MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas. - Feng Qiao; Zhexiao Xiong; Xinge Zhu; Yuexin Ma; Qiumeng He; Nathan Jacobs (CoRR, 2024)

GroundingBooth: Grounding Text-to-Image Customization. - Zhexiao Xiong; Wei Xiong 008; Jing Shi; He Zhang 004; Yizhi Song; Nathan Jacobs (CoRR, 2024)

Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation Through Multiscale Satellite Imagery and Self-Supervised Cross-Matching. - Gongbo Liang; Janet Zulu; Xin Xing 002; Nathan Jacobs (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Landscape scenicness prompts. - Alex Levering; Diego Marcos; Nathan Jacobs; Devis Tuia (Zenodo, 2024)

Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. - Hannah Kerner; Snehal Chaudhari; Aninda Ghosh; Caleb Robinson; Adeel Ahmad; Eddie Choi; Nathan Jacobs; Chris Holmes; Matthias Mohr; Rahul Dodhia; Juan M. Lavista Ferres; Jennifer Marcus (AAAI, 2025)

Active Geospatial Search for Efficient Tenant Eviction Outreach. - Anindya Sarkar; Alex DiChristofano; Sanmay Das; Patrick J. Fowler; Nathan Jacobs; Yevgeniy Vorobeychik (AAAI, 2025)

RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. - Aayush Dhakal; Srikumar Sastry; Subash Khanal; Adeel Ahmad; Eric Xing; Nathan Jacobs (CVPR, 2025)

good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval. - Pranavi Kolouju; Eric Xing; Robert Pless; Nathan Jacobs; Abby Stylianou (CVPR Workshops, 2025)

DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal. - Wanzhou Liu; Zhexiao Xiong; Xinyu Li; Nathan Jacobs (CVPR Workshops, 2025)

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval. - Eric Xing; Pranavi Kolouju; Robert Pless; Abby Stylianou; Nathan Jacobs (CVPR, 2025)

PanoDreamer: Consistent Text to 360-Degree Scene Generation. - Zhexiao Xiong; Zhang Chen; Zhong Li; Yi Xu; Nathan Jacobs (CVPR Workshops, 2025)

TaxaBind: A Unified Embedding Space for Ecological Applications. - Srikumar Sastry; Subash Khanal; Aayush Dhakal; Adeel Ahmad; Nathan Jacobs (WACV, 2025)

Mixed-View Panorama Synthesis using Geospatially Guided Diffusion. - Zhexiao Xiong; Xin Xing 002; Scott Workman; Subash Khanal; Nathan Jacobs (Trans. Mach. Learn. Res., 2025)

GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised Matching. - Feng Qiao; Zhexiao Xiong; Eric Xing; Nathan Jacobs (CoRR, 2025)

Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping. - Subash Khanal; Srikumar Sastry; Aayush Dhakal; Adeel Ahmad; Nathan Jacobs (CoRR, 2025)

QuARI: Query Adaptive Retrieval Improvement. - Eric Xing; Abby Stylianou; Robert Pless; Nathan Jacobs (CoRR, 2025)

Global and Local Entailment Learning for Natural World Imagery. - Srikumar Sastry; Aayush Dhakal; Eric Xing; Subash Khanal; Nathan Jacobs (CoRR, 2025)