Nathan Jacobs

Washington University in St. Louis — United States

Computer Science · Physical Sciences

28h-index3.5kcitations253works2.82yr avg
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Research Topics

Advanced Image and Video Retrieval Techniques(36), Advanced Vision and Imaging(35), Video Surveillance and Tracking Methods(29), Remote Sensing and LiDAR Applications(25), Automated Road and Building Extraction(19)

Publications253 total

Sub-pixel mapping of disturbance and tree mortality dynamics from Sentinel-2 time series around the globe
2026Open Access
SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images
ArXiv.org·2026Open Access
SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images
arXiv (Cornell University)·2026Open Access
UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving
arXiv (Cornell University)·2026Open Access
UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving
ArXiv.org·2026Open Access
Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion
International Journal of Applied Earth Observation and Geoinformation·2026Open Access
WHiCH (Western Himalaya Canopy Height) Map 2020, Pakistan
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
WHiCH (Western Himalaya Canopy Height) Map 2020, Pakistan
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Earth Embeddings: Towards AI-centric Representations of our Planet
2025Open Access
VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
arXiv (Cornell University)·2025Open Access
GENERATIVE AI FOR SAR-TO-OPTICAL IMAGE TRANSLATION: A SYSTEMATIC LITERATURE REVIEW (2021-2025)
2025Open Access
Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
arXiv (Cornell University)·2025Open Access
Editorial to the special issue in vision language models for remote sensing analysis and interpretation
ISPRS Journal of Photogrammetry and Remote Sensing·2025
ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
arXiv (Cornell University)·2025Open Access
Global and Local Entailment Learning for Natural World Imagery
arXiv (Cornell University)·2025Open Access
Good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
2025
DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal
2025
PanoDreamer: Consistent Text to 360-Degree Scene Generation
2025
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
2025· 1 cited
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
2025
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Frequent Co-authors

Scott Workman(16), Gongbo Liang(13), Robert Pless(9), Xiaoqin Wang(7), Menghua Zhai(6), Xin Xing(6), Hunter Blanton(5), Yu Zhang(4), Ai‐Ling Lin(4), Tawfiq Salem(4), Nathaniel Roman(3), Radu Paul Mihail(3), Richard Souvenir(2), Zachary Bessinger(2), Yi Zhang(2), Erik Y. Han(2), Qiong Han(2), Jinze Liu(2), Richard Speyer(2), Chris Wang(2)