Nathan Jacobs

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 127

Top Venues

Publications

Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. WACV (2024)
Aayush Dhakal, Subash Khanal, Srikumar Sastry, Adeel Ahmad, Nathan Jacobs
GEOBIND: Binding Text, Image, and Audio through Satellite Images. CoRR (2024)
Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning. CoRR (2024)
Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. CoRR (2024)
Zhexiao Xiong, Xin Xing, Scott Workman, Subash Khanal, Nathan Jacobs
Mixed-View Panorama Synthesis using Geospatially Guided Diffusion. CoRR (2024)
Gongbo Liang, Janet Zulu, Xin Xing, Nathan Jacobs
Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation Through Multiscale Satellite Imagery and Self-Supervised Cross-Matching. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Connor Greenwell, Jon Crall, Matthew Purri, Kristin J. Dana, Nathan Jacobs, Armin Hadzic, Scott Workman, Matthew J. Leotta
WATCH: Wide-Area Terrestrial Change Hypercube. WACV (2024)
Srikumar Sastry, Subash Khanal, Aayush Dhakal, Nathan Jacobs
GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. CoRR (2024)
Maxim Shugaev, Ilya Semenov, Kyle Ashley, Michael Klaczynski, Naresh Cuntoor, Mun Wai Lee, Nathan Jacobs
ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching. WACV (2024)
Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
Geospatial Active Search for Preventing Evictions. AAMAS (2024)
Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
A Visual Active Search Framework for Geospatial Exploration. WACV (2024)
Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. CoRR (2023)
Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning. CoRR (2023)
Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik
Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems. CoRR (2023)
Srikumar Sastry, Nathan Jacobs, Mariana Belgiu, Raian Vargas Maretto
Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning. IGARSS (2023)
Cohen Archbold, Benjamin Brodie, Aram Ansary Ogholbake, Nathan Jacobs
Fine-Grained Property Value Assessment using Probabilistic Disaggregation. CoRR (2023)
Yu Zhang, Muhammad Usman Rafique, Gordon A. Christie, Nathan Jacobs
CrossAdapt: Cross-Scene Adaptation for Multi-Domain Depth Estimation. IGARSS (2023)
Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Nathan Jacobs
Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. CoRR (2023)
Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs
Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. CoRR (2023)
Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. NeurIPS (2023)
Zhexiao Xiong, Feng Qiao, Yu Zhang, Nathan Jacobs
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. BMVC (2023)
Yu Zhang, Muhammad Usman Rafique, Nathan Jacobs
Crossseg: Cross-Scene Few-Shot Aerial Segmentation Using Probabilistic Prototypes. IGARSS (2023)
Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
A Partially Supervised Reinforcement Learning Framework for Visual Active Search. CoRR (2023)
Cohen Archbold, Benjamin Brodie, Aram Ansary Ogholbake, Nathan Jacobs
Fine-Grained Property Value Assessment Using Probabilistic Disaggregation. IGARSS (2023)
Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sánchez Giraldo
FroSSL: Frobenius Norm Minimization for Self-Supervised Learning. CoRR (2023)
Srikumar Sastry, Xin Xing, Aayush Dhakal, Subash Khanal, Adeel Ahmad, Nathan Jacobs
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling. CoRR (2023)
Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs
Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. BMVC (2023)
Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik
Eroding Trust in Aerial Imagery: Comprehensive Analysis and Evaluation of Adversarial Attacks in Geospatial Systems. AIPR (2023)
Zhexiao Xiong, Feng Qiao, Yu Zhang, Nathan Jacobs
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. CoRR (2023)
Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs
Revisiting Near/Remote Sensing with Geospatial Attention. CVPR (2022)
Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs
Revisiting Near/Remote Sensing with Geospatial Attention. CoRR (2022)
Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs
Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. ISBI (2022)
Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang
Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. ICPR (2022)
Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
A Visual Active Search Framework for Geospatial Exploration. CoRR (2022)
Hunter Blanton, Scott Workman, Nathan Jacobs
A Structure-Aware Method for Direct Pose Estimation. WACV (2022)
Subash Khanal, Benjamin Brodie, Xin Xing, Ai-Ling Lin, Nathan Jacobs
Causality for Inherently Explainable Transformers: CAT-XPLAIN. CoRR (2022)
Gongbo Liang, Halemane Ganesh, Dylan Steffe, Liangliang Liu, Nathan Jacobs, Jie Zhang
Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set. BMC Medical Imaging 22 (1) (2022)
Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai, Martin Werner, Matthias Häberle, Eike Jens Hoffmann, Hannes Taubenböck, Devis Tuia, Alex Levering, Nathan Jacobs, Anna M. Kruspe, Karam Abdulahhad
Geo-Information Harvesting from Social Media Data. CoRR (2022)
Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Rafael Padilha, Tawfiq Salem, Scott Workman, Fernanda A. Andaló, Anderson Rocha, Nathan Jacobs
Content-Aware Detection of Temporal Metadata Manipulation. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Xin Xing, Chong Peng, Yu Zhang, Ai-Ling Lin, Nathan Jacobs
AssocFormer: Association Transformer for Multi-label Classification. BMVC (2022)
Rafael Padilha, Tawfiq Salem, Scott Workman, Fernanda A. Andaló, Anderson Rocha, Nathan Jacobs
Content-Based Detection of Temporal Metadata Manipulation. CoRR (2021)
Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls
Towards a Collective Agenda on AI for Earth Science Data Analysis. CoRR (2021)
David Jones, Nathan Jacobs
Intensity Harmonization for Airborne LiDAR. IGARSS (2021)
Yu Zhang, Gongbo Liang, Nathan Jacobs
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. BMVC (2021)
Benjamin Brodie, Subash Khanal, Muhammad Usman Rafique, Connor Greenwell, Nathan Jacobs
Hierarchical Probabilistic Embeddings for Multi-View Image Classification. IGARSS (2021)
Muhammad Usman Rafique, Yu Zhang, Benjamin Brodie, Nathan Jacobs
Unifying Guided and Unguided Outdoor Image Synthesis. CVPR Workshops (2021)
Raian Vargas Maretto, Leila M. G. Fonseca, Nathan Jacobs, Thales Sehn Körting, Hugo N. Bendini, Leandro Parente
Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. IEEE Geosci. Remote. Sens. Lett. 18 (5) (2021)
Qi Ying, Xin Xing, Liangliang Liu, Ai-Ling Lin, Nathan Jacobs, Gongbo Liang
Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. EMBC (2021)
Gongbo Liang, Xin Xing, Liangliang Liu, Yu Zhang, Qi Ying, Ai-Ling Lin, Nathan Jacobs
Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. EMBC (2021)
David Jones, Nathan Jacobs
Intensity Harmonization for Airborne LiDAR. CoRR (2021)
Yu Zhang, Gongbo Liang, Nathan Jacobs
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. CoRR (2021)
Subash Khanal, Jin Chen, Nathan Jacobs, Ai-Ling Lin
Alzheimer's Disease Classification Using Genetic Data. BIBM (2021)
Scott Workman, Nathan Jacobs
Dynamic Traffic Modeling From Overhead Imagery. CVPR (2020)
Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. CoRR (2020)
Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs
Single Image Cloud Detection via Multi-Image Fusion. CoRR (2020)
Hunter Blanton, Connor Greenwell, Scott Workman, Nathan Jacobs
Extending Absolute Pose Regression to Multiple Scenes. CVPR Workshops (2020)
Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. CVPR Workshops (2020)
Tawfiq Salem, Scott Workman, Nathan Jacobs
Learning a Dynamic Map of Visual Appearance. CVPR (2020)
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. CoRR (2020)
Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs
Single Image Cloud Detection via Multi-Image Fusion. IGARSS (2020)
Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. ECCV Workshops (1) (2020)
Hunter Blanton, Scott Workman, Nathan Jacobs
A Structure-Aware Method for Direct Pose Estimation. CoRR (2020)
Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. CoRR (2020)
Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. CoRR (2020)
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs
Improved Trainable Calibration Method for Neural Networks. BMVC (2020)
Armin Hadzic, Gordon A. Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee
Estimating Displaced Populations from Overhead. CoRR (2020)
Muhammad Usman Rafique, Hunter Blanton, Noah Snavely, Nathan Jacobs
Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis. BMVC (2020)
Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
Weakly-Supervised Feature Learning via Text and Image Matching. CoRR (2020)
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. CoRR (2020)
Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. CoRR (2020)
Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin, Yu Zhang, Yuanyuan Zhang, Nathan Jacobs
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. CoRR (2020)
Hunter Blanton, Sean Grate, Nathan Jacobs
Surface Modeling for Airborne Lidar. IGARSS (2020)
Yu Zhang, Gongbo Liang, Yuanyuan Su, Nathan Jacobs
Multi-Branch Attention Networks for Classifying Galaxy Clusters. ICPR (2020)
Armin Hadzic, Gordon A. Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee
Estimating Displaced Populations from Overhead. IGARSS (2020)
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs
Joint 2D-3D Breast Cancer Classification. CoRR (2020)
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Nathan Jacobs
. EMBC (2020)
Tawfiq Salem, Scott Workman, Nathan Jacobs
Learning a Dynamic Map of Visual Appearance. CoRR (2020)
Scott Workman, Nathan Jacobs
Dynamic Traffic Modeling From Overhead Imagery. CoRR (2020)
Zachary Bessinger, Nathan Jacobs
A Generative Model of Worldwide Facial Appearance. WACV (2019)
Connor Greenwell, Scott Workman, Nathan Jacobs
Implicit Land Use Mapping Using Social Media Imagery. AIPR (2019)
Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. IEEE BigData (2019)
Hasan Sajid, Sen-Ching S. Cheung, Nathan Jacobs
Motion and appearance based background subtraction for freely moving cameras. Signal Process. Image Commun. 75 (2019)
Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs
Learning to Map Nearly Anything. CoRR (2019)
Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs
Remote Estimation of Free-Flow Speeds. CoRR (2019)
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs
Joint 2D-3D Breast Cancer Classification. BIBM (2019)
Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs
Learning to Map Nearly Anything. IGARSS (2019)
Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs
Weakly Supervised Fusion of Multiple Overhead Images. CVPR Workshops (2019)
Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs
Remote Estimation of Free-Flow Speeds. IGARSS (2019)
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. BIBM (2019)
Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs
FARSA: Fully Automated Roadway Safety Assessment. CoRR (2019)
Muhammad Usman Rafique, Nathan Jacobs
Weakly Supervised Building Segmentation from Aerial Images. IGARSS (2019)
Gongbo Liang, Sajjad Fouladvand, Jie Zhang, Michael A. Brooks, Nathan Jacobs, Jin Chen
GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement. ICHI (2019)
Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs
Learning Geo-Temporal Image Features. CoRR (2019)
Nathan Jacobs, Adam Kraft, Muhammad Usman Rafique, Ranti Dev Sharma
A weakly supervised approach for estimating spatial density functions from high-resolution satellite imagery. SIGSPATIAL/GIS (2018)
Nathan Jacobs, Adam Kraft, Muhammad Usman Rafique, Ranti Dev Sharma
A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery. CoRR (2018)
Connor Greenwell, Scott Workman, Nathan Jacobs
What Goes Where: Predicting Object Distributions from Above. CoRR (2018)
Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. CoRR (2018)
Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs
Learning Geo-Temporal Image Features. BMVC (2018)
Tawfiq Salem, Menghua Zhai, Scott Workman, Nathan Jacobs
A Multimodal Approach to Mapping Soundscapes. IGARSS (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nathan Jacobs