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Nathan Jacobs

Nathan B. Jacobs

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affiliation: Washington University in St. Louis, MO, USA
affiliation (former): University of Kentucky, Lexington, KY, USA

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Journal Articles

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2025
[j13]
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Zhexiao Xiong, Xin Xing, Scott Workman, Subash Khanal, Nathan Jacobs:
Mixed-View Panorama Synthesis using Geospatially Guided Diffusion. Trans. Mach. Learn. Res. 2025 (2025)
2024
[j12]
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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: 535-546 (2024)
2022
[j11]
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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): 52 (2022)
[j10]
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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: 1316-1327 (2022)
[j9]
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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): 1640-1649 (2022)
2021
[j8]
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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): 771-775 (2021)
2019
[j7]
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Hasan Sajid, Sen-Ching S. Cheung, Nathan Jacobs:
Motion and appearance based background subtraction for freely moving cameras. Signal Process. Image Commun. 75: 11-21 (2019)
2016
[j6]
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Nathan Jacobs, Scott Workman, Richard Souvenir:
Cloudmaps from static ground-view video. Image Vis. Comput. 52: 154-166 (2016)
[j5]
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Hasan Sajid, Sen-Ching S. Cheung, Nathan Jacobs:
Appearance based background subtraction for PTZ cameras. Signal Process. Image Commun. 47: 417-425 (2016)
2015
[j4]
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Scott Workman, Richard Souvenir, Nathan Jacobs:
Scene shape estimation from multiple partly cloudy days. Comput. Vis. Image Underst. 134: 116-129 (2015)
[j3]
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Mohammad T. Islam, Connor Greenwell, Richard Souvenir, Nathan Jacobs:
Large-scale geo-facial image analysis. EURASIP J. Image Video Process. 2015: 17 (2015)
2013
[j2]
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Nathan Jacobs, Austin Abrams, Robert Pless:
Two Cloud-Based Cues for Estimating Scene Structure and Camera Calibration. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2526-2538 (2013)
2008
[j1]
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Nathan Jacobs, Robert Pless:
Time Scales in Video Surveillance. IEEE Trans. Circuits Syst. Video Technol. 18(8): 1106-1113 (2008)

Conference and Workshop Papers

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2025
[c123]
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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:
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. AAAI 2025: 28151-28159
[c122]
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Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik:
Active Geospatial Search for Efficient Tenant Eviction Outreach. AAAI 2025: 28340-28348
[c121]
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Zhexiao Xiong, Zhang Chen, Zhong Li, Yi Xu, Nathan Jacobs:
PanoDreamer: Consistent Text to 360-Degree Scene Generation. CVPR Workshops 2025: 295-304
[c120]
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Wanzhou Liu, Zhexiao Xiong, Xinyu Li, Nathan Jacobs:
DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal. CVPR Workshops 2025: 380-390
[c119]
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Pranavi Kolouju, Eric Xing, Robert Pless, Nathan Jacobs, Abby Stylianou:
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval. CVPR Workshops 2025: 3148-3157
[c118]
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Eric Xing, Pranavi Kolouju, Robert Pless, Abby Stylianou, Nathan Jacobs:
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval. CVPR 2025: 19638-19648
[c117]
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Aayush Dhakal, Srikumar Sastry, Subash Khanal, Adeel Ahmad, Eric Xing, Nathan Jacobs:
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. CVPR 2025: 24680-24689
[c116]
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Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs:
TaxaBind: A Unified Embedding Space for Ecological Applications. WACV 2025: 1765-1774
2024
[c115]
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Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik:
Geospatial Active Search for Preventing Evictions. AAMAS 2024: 2456-2458
[c114]
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Srikumar Sastry, Subash Khanal, Aayush Dhakal, Nathan Jacobs:
GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. CVPR Workshops 2024: 460-470
[c113]
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Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Hannah Kerner, Nathan Jacobs:
Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. CVPR Workshops 2024: 533-542
[c112]
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Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs:
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning. CVPR Workshops 2024: 7799-7808
[c111]
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Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sánchez Giraldo:
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning. ECCV (89) 2024: 69-85
[c110]
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Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik:
Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning. ICMLA 2024: 312-319
[c109]
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Pallavi Jain, Diego Marcos, Dino Ienco, Roberto Interdonato, Aayush Dhakal, Nathan Jacobs, Tristan Berchoux:
Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. IGARSS 2024: 319-323
[c108]
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Aayush Dhakal, Subash Khanal, Srikumar Sastry, Adeel Ahmad, Nathan Jacobs:
GeoBind: Binding Text, Image, and Audio through Satellite Images. IGARSS 2024: 2729-2733
[c107]
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Subash Khanal, Eric Xing, Srikumar Sastry, Aayush Dhakal, Zhexiao Xiong, Adeel Ahmad, Nathan Jacobs:
PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping. ACM Multimedia 2024: 1361-1369
[c106]
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Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik:
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. NeurIPS 2024
[c105]
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Maxim Shugaev, Ilya Semenov, Kyle Ashley, Michael Klaczynski, Naresh P. Cuntoor, Mun Wai Lee, Nathan Jacobs:
ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching. WACV 2024: 208-217
[c104]
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Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs:
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. WACV 2024: 7121-7130
[c103]
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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: 8262-8271
[c102]
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Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik:
A Visual Active Search Framework for Geospatial Exploration. WACV 2024: 8301-8310
[c101]
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José Nascimento, Nathan Jacobs, Anderson Rocha:
Interactive Event Sifting using Bayesian Graph Neural Networks. WIFS 2024: 1-5
2023
[c100]
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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: 1-13
[c99]
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Zhexiao Xiong, Feng Qiao, Yu Zhang, Nathan Jacobs:
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. BMVC 2023: 240-242
[c98]
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Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs:
Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. BMVC 2023: 813-814
[c97]
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Srikumar Sastry, Nathan Jacobs, Mariana Belgiu, Raian Vargas Maretto:
Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning. IGARSS 2023: 4990-4993
[c96]
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Yu Zhang, Muhammad Usman Rafique, Nathan Jacobs:
Crossseg: Cross-Scene Few-Shot Aerial Segmentation Using Probabilistic Prototypes. IGARSS 2023: 5006-5009
[c95]
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  - conf/igarss/ArchboldBOJ23
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Cohen Archbold, Benjamin Brodie, Aram Ansary Ogholbake, Nathan Jacobs:
Fine-Grained Property Value Assessment Using Probabilistic Disaggregation. IGARSS 2023: 5312-5315
[c94]
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Yu Zhang, Muhammad Usman Rafique, Gordon A. Christie, Nathan Jacobs:
CrossAdapt: Cross-Scene Adaptation for Multi-Domain Depth Estimation. IGARSS 2023: 5328-5331
[c93]
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Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik:
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. NeurIPS 2023
2022
[c92]
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Xin Xing, Chong Peng, Yu Zhang, Ai-Ling Lin, Nathan Jacobs:
AssocFormer: Association Transformer for Multi-label Classification. BMVC 2022: 619
[c91]
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  - conf/cvpr/WorkmanRBJ22
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Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs:
Revisiting Near/Remote Sensing with Geospatial Attention. CVPR 2022: 1768-1777
[c90]
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Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang:
Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. ICPR 2022: 2328-2334
[c89]
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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: 1-4
[c88]
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Hunter Blanton, Scott Workman, Nathan Jacobs:
A Structure-Aware Method for Direct Pose Estimation. WACV 2022: 205-214
2021
[c87]
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Subash Khanal, Jin Chen, Nathan Jacobs, Ai-Ling Lin:
Alzheimer's Disease Classification Using Genetic Data. BIBM 2021: 2245-2252
[c86]
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Yu Zhang, Gongbo Liang, Nathan Jacobs:
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. BMVC 2021: 211
[c85]
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Muhammad Usman Rafique, Yu Zhang, Benjamin Brodie, Nathan Jacobs:
Unifying Guided and Unguided Outdoor Image Synthesis. CVPR Workshops 2021: 776-785
[c84]
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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: 3008-3012
[c83]
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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: 3586-3591
[c82]
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Benjamin Brodie, Subash Khanal, Muhammad Usman Rafique, Connor Greenwell, Nathan Jacobs:
Hierarchical Probabilistic Embeddings for Multi-View Image Classification. IGARSS 2021: 1011-1014
[c81]
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David Jones, Nathan Jacobs:
Intensity Harmonization for Airborne LiDAR. IGARSS 2021: 4324-4327
2020
[c80]
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Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs:
Improved Trainable Calibration Method for Neural Networks. BMVC 2020
[c79]
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Muhammad Usman Rafique, Hunter Blanton, Noah Snavely, Nathan Jacobs:
Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis. BMVC 2020
[c78]
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Hunter Blanton, Connor Greenwell, Scott Workman, Nathan Jacobs:
Extending Absolute Pose Regression to Multiple Scenes. CVPR Workshops 2020: 170-178
[c77]
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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: 826-834
[c76]
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Scott Workman, Nathan Jacobs:
Dynamic Traffic Modeling From Overhead Imagery. CVPR 2020: 12312-12321
[c75]
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Tawfiq Salem, Scott Workman, Nathan Jacobs:
Learning a Dynamic Map of Visual Appearance. CVPR 2020: 12432-12441
[c74]
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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: 355-364
[c73]
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Gongbo Liang, Xiaoqin Wang, Yu Zhang, Nathan Jacobs:
Weakly-Supervised Self-Training for Breast Cancer Localization^*. EMBC 2020: 1124-1127
[c72]
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Yu Zhang, Gongbo Liang, Yuanyuan Su, Nathan Jacobs:
Multi-Branch Attention Networks for Classifying Galaxy Clusters. ICPR 2020: 9643-9649
[c71]
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Hunter Blanton, Sean Grate, Nathan Jacobs:
Surface Modeling for Airborne Lidar. IGARSS 2020: 1110-1113
[c70]
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Armin Hadzic, Gordon A. Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee:
Estimating Displaced Populations from Overhead. IGARSS 2020: 1121-1124
[c69]
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Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs:
Single Image Cloud Detection via Multi-Image Fusion. IGARSS 2020: 1468-1471
2019
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Connor Greenwell, Scott Workman, Nathan Jacobs:
Implicit Land Use Mapping Using Social Media Imagery. AIPR 2019: 1-4
[c67]
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Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs:
Joint 2D-3D Breast Cancer Classification. BIBM 2019: 692-696
[c66]
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Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs:
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. BIBM 2019: 1013-1017
[c65]
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Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs:
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. IEEE BigData 2019: 5654-5660
[c64]
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Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs:
Weakly Supervised Fusion of Multiple Overhead Images. CVPR Workshops 2019: 1479-1486
[c63]
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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: 1-11
[c62]
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Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs:
Remote Estimation of Free-Flow Speeds. IGARSS 2019: 791-794
[c61]
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Muhammad Usman Rafique, Nathan Jacobs:
Weakly Supervised Building Segmentation from Aerial Images. IGARSS 2019: 3955-3958
[c60]
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Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs:
Learning to Map Nearly Anything. IGARSS 2019: 4803-4806
[c59]
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Zachary Bessinger, Nathan Jacobs:
A Generative Model of Worldwide Facial Appearance. WACV 2019: 1569-1578
2018
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Radu Paul Mihail, Nathan Jacobs:
Automatic Hand Skeletal Shape Estimation from Radiographs. BIBM 2018: 919-926
[c57]
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Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs:
Learning Geo-Temporal Image Features. BMVC 2018: 144
[c56]
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Tawfiq Salem, Menghua Zhai, Scott Workman, Nathan Jacobs:
A Multimodal Approach to Mapping Soundscapes. CVPR Workshops 2018: 2524-2527
[c55]
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Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker:
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. ECCV (15) 2018: 815-831
[c54]
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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: 33-42
[c53]
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Tawfiq Salem, Menghua Zhai, Scott Workman, Nathan Jacobs:
A Multimodal Approach to Mapping Soundscapes. IGARSS 2018: 3477-3480
[c52]
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Connor Greenwell, Scott Workman, Nathan Jacobs:
What Goes Where: Predicting Object Distributions from Above. IGARSS 2018: 4375-4378
[c51]
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Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs:
FARSA: Fully Automated Roadway Safety Assessment. WACV 2018: 521-529
2017
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Xiaofei Zhang, Yi Zhang, Erik Y. Han, Nathan Jacobs, Qiong Han, Xiaoqin Wang, Jinze Liu:
Whole mammogram image classification with convolutional neural networks. BIBM 2017: 700-704
[c49]
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Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs:
Predicting Ground-Level Scene Layout from Aerial Imagery. CVPR 2017: 4132-4140
[c48]
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Nam N. Vo, Nathan Jacobs, James Hays:
Revisiting IM2GPS in the Deep Learning Era. ICCV 2017: 2640-2649
[c47]
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Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs:
A Unified Model for Near and Remote Sensing. ICCV 2017: 2707-2716
[c46]
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Scott Workman, Richard Souvenir, Nathan Jacobs:
Understanding and Mapping Natural Beauty. ICCV 2017: 5590-5599
2016
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Nathan Jacobs, Scott Workman, Menghua Zhai:
Cross-view convolutional networks. AIPR 2016: 1-5
[c44]
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Scott Workman, Menghua Zhai, Nathan Jacobs:
Horizon Lines in the Wild. BMVC 2016
[c43]
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Menghua Zhai, Scott Workman, Nathan Jacobs:
Detecting Vanishing Points Using Global Image Context in a Non-ManhattanWorld. CVPR 2016: 5657-5665
[c42]
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Zachary Bessinger, Chris Stauffer, Nathan Jacobs:
Who goes there?: approaches to mapping facial appearance diversity. SIGSPATIAL/GIS 2016: 49:1-49:4
[c41]
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Menghua Zhai, Scott Workman, Nathan Jacobs:
Camera geo-calibration using an MCMC approach. ICIP 2016: 2976-2980
[c40]
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Zachary Bessinger, Nathan Jacobs:
Quantifying curb appeal. ICIP 2016: 4388-4392
[c39]
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  - conf/wacv/BaltenbergerZGW16
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Ryan Baltenberger, Menghua Zhai, Connor Greenwell, Scott Workman, Nathan Jacobs:
A fast method for estimating transient scene attributes. WACV 2016: 1-8
[c38]
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Radu Paul Mihail, Scott Workman, Zach Bessinger, Nathan Jacobs:
Sky segmentation in the wild: An empirical study. WACV 2016: 1-6
[c37]
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Tawfiq Salem, Scott Workman, Menghua Zhai, Nathan Jacobs:
Analyzing human appearance as a cue for dating images. WACV 2016: 1-8
2015
[c36]
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Scott Workman, Nathan Jacobs:
On the location dependence of convolutional neural network features. CVPR Workshops 2015: 70-78
[c35]
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  - conf/iccv/MurdockJP15
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Calvin Murdock, Nathan Jacobs, Robert Pless:
Building Dynamic Cloud Maps from the Ground Up. ICCV 2015: 684-692
[c34]
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Scott Workman, Richard Souvenir, Nathan Jacobs:
Wide-Area Image Geolocalization with Aerial Reference Imagery. ICCV 2015: 3961-3969
[c33]
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Scott Workman, Connor Greenwell, Menghua Zhai, Ryan Baltenberger, Nathan Jacobs:
DEEPFOCAL: A method for direct focal length estimation. ICIP 2015: 1369-1373
[c32]
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Mohammad T. Islam, Scott Workman, Nathan Jacobs:
FACE2GPS: Estimating geographic location from facial features. ICIP 2015: 1608-1612
2014
[c31]
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Ann Whitney, John Fessler, Johné M. Parker, Nathan Jacobs:
Received signal strength indication signature for passive UHF tags. AIM 2014: 1183-1187
[c30]
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Scott Workman, Radu Paul Mihail, Nathan Jacobs:
A Pot of Gold: Rainbows as a Calibration Cue. ECCV (5) 2014: 820-835
[c29]
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Connor Greenwell, Scott Spurlock, Richard Souvenir, Nathan Jacobs:
GeoFaceExplorer: exploring the geo-dependence of facial attributes. GEOGROWD 2014: 32-37
[c28]
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Feiyu Shi, Menghua Zhai, Drew Duncan, Nathan Jacobs:
MPCA: EM-based PCA for mixed-size image datasets. ICIP 2014: 1807-1811
[c27]
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Menghua Zhai, Feiyu Shi, Drew Duncan, Nathan Jacobs:
Covariance-Based PCA for Multi-size Data. ICPR 2014: 1603-1608
[c26]
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Radu Paul Mihail, Gustav Blomquist, Nathan Jacobs:
A CRF approach to fitting a generalized hand skeleton model. WACV 2014: 409-416
[c25]
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Nathan Jacobs, Joshua King, Daniel Bowers, Richard Souvenir:
Estimating cloudmaps from outdoor image sequences. WACV 2014: 961-968
[c24]
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Mohammad T. Islam, Scott Workman, Hui Wu, Nathan Jacobs, Richard Souvenir:
Exploring the geo-dependence of human face appearance. WACV 2014: 1042-1049
2013
[c23]
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Radu Paul Mihail, Judy Goldsmith, Nathan Jacobs, Jerzy W. Jaromczyk:
Teaching graphics for games using Microsoft XNA. CGAMES 2013: 36-40
[c22]
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Nathan Jacobs, Mohammad T. Islam, Scott Workman:
Cloud Motion as a Calibration Cue. CVPR 2013: 1344-1351
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Nathan Jacobs, Scott Workman, Richard Souvenir:
Scene geometry from several partly cloudy days. ICDSC 2013: 1-6
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Calvin Murdock, Nathan Jacobs, Robert Pless:
Webcam2Satellite: Estimating cloud maps from webcam imagery. WACV 2013: 214-221
2012
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Austin Abrams, Jim Tucek, Joshua Little, Nathan Jacobs, Robert Pless:
LOST: Longterm Observation of Scenes (with Tracks). WACV 2012: 297-304
2011
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Michael Dixon, Austin Abrams, Nathan Jacobs, Robert Pless:
On analyzing video with very small motions. CVPR 2011: 425-432
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Nathan Jacobs, Kylia Miskell, Robert Pless:
Webcam geo-localization using aggregate light levels. WACV 2011: 132-138
2010
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Austin Abrams, Nick Fridrich, Nathan Jacobs, Robert Pless:
Participatory integration of live webcams into GIS. COM.Geo 2010
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Nathan Jacobs, Brian Bies, Robert Pless:
Using cloud shadows to infer scene structure and camera calibration. CVPR 2010: 1102-1109
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Nathan Jacobs, S. Schuh, Robert Pless:
Compressive sensing and differential image-motion estimation. ICASSP 2010: 718-721
2009
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Nathan Jacobs, Richard Souvenir, Robert Pless:
Passive vision: The global webcam imaging network. AIPR 2009: 1-8
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Robert Pless, Michael Dixon, Nathan Jacobs, Patrick Baker, Nicholas L. Cassimatis, Derek P. Brock, Ralph Hartley, Dennis Perzanowski:
Persistence and tracking: Putting vehicles and trajectories in context. AIPR 2009: 1-8
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Nathan Jacobs, Walker Burgin, Robert Speyer, D. Ross, Robert Pless:
Adventures in archiving and using three years of webcam images. CVPR Workshops 2009: 39-46
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Nathan Jacobs, Walker Burgin, Nick Fridrich, Austin Abrams, Kylia Miskell, Bobby H. Braswell, Andrew D. Richardson, Robert Pless:
The global network of outdoor webcams: properties and applications. GIS 2009: 111-120
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Nathan Jacobs, Michael Dixon, Scott Satkin, Robert Pless:
Efficient tracking of many objects in structured environments. ICCV Workshops 2009: 1161-1168
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Michael Dixon, Nathan Jacobs, Robert Pless:
An efficient system for vehicle tracking in multi-camera networks. ICDSC 2009: 1-8
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Nathan Jacobs, Robert Pless:
PhD forum: Calibrating and using the global network of outdoor webcams. ICDSC 2009: 1-2
2008
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Nathan Jacobs, Nathaniel Roman, Robert Pless:
Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras. WACV 2008: 1-6
2007
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Nathan Jacobs, Nathaniel Roman, Robert Pless:
Consistent Temporal Variations in Many Outdoor Scenes. CVPR 2007
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Nathan Jacobs, Scott Satkin, Nathaniel Roman, Robert Speyer, Robert Pless:
Geolocating Static Cameras. ICCV 2007: 1-6
2006
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Michael Dixon, Nathan Jacobs, Robert Pless:
Finding Minimal Parameterizations of Cylindrical Image Manifolds. CVPR Workshops 2006: 192
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Nathan Jacobs, Robert Pless:
Real-time constant memory visual summaries for surveillance. VSSN@MM 2006: 155-160
2002
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Terry J. Anderson, Ali Hussam, Bill Plummer, Nathan Jacobs:
Pie Charts for Visualizing Query Term Frequency in Search Results. ICADL 2002: 440-451

Data and Artifacts

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What is the meaning of the colors in the publication lists?

2024
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Alex Levering, Diego Marcos, Nathan Jacobs, Devis Tuia:
Landscape scenicness prompts. Zenodo, 2024
2021
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Junfeng Zhu, Muhammad Usman Rafique, Nathan Jacobs:
An Image Dataset for Training Deep Learning Segmentation Models to Identify Karst Sinkholes. Zenodo, 2021
2016
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Nathan Jacobs, Radu Paul Mihail:
SkyFinder Dataset. Zenodo, 2016

Informal and Other Publications

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What is the meaning of the colors in the publication lists?

2025
[i69]
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Aayush Dhakal, Srikumar Sastry, Subash Khanal, Adeel Ahmad, Eric Xing, Nathan Jacobs:
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. CoRR abs/2502.19781 (2025)
[i68]
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Feng Qiao, Zhexiao Xiong, Eric Xing, Nathan Jacobs:
GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised Matching. CoRR abs/2503.12720 (2025)
[i67]
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Pranavi Kolouju, Eric Xing, Robert Pless, Nathan Jacobs, Abby Stylianou:
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval. CoRR abs/2503.17871 (2025)
[i66]
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Wanzhou Liu, Zhexiao Xiong, Xinyu Li, Nathan Jacobs:
DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal. CoRR abs/2504.04679 (2025)
[i65]
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Zhexiao Xiong, Zhang Chen, Zhong Li, Yi Xu, Nathan Jacobs:
PanoDreamer: Consistent Text to 360-Degree Scene Generation. CoRR abs/2504.05152 (2025)
[i64]
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Subash Khanal, Srikumar Sastry, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs:
Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping. CoRR abs/2505.13777 (2025)
[i63]
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Eric Xing, Pranavi Kolouju, Robert Pless, Abby Stylianou, Nathan Jacobs:
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval. CoRR abs/2505.20764 (2025)
[i62]
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Eric Xing, Abby Stylianou, Robert Pless, Nathan Jacobs:
QuARI: Query Adaptive Retrieval Improvement. CoRR abs/2505.21647 (2025)
[i61]
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Srikumar Sastry, Aayush Dhakal, Eric Xing, Subash Khanal, Nathan Jacobs:
Global and Local Entailment Learning for Natural World Imagery. CoRR abs/2506.21476 (2025)
2024
[i60]
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Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik:
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning. CoRR abs/2402.09290 (2024)
[i59]
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Srikumar Sastry, Subash Khanal, Aayush Dhakal, Nathan Jacobs:
GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. CoRR abs/2404.06637 (2024)
[i58]
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Aayush Dhakal, Subash Khanal, Srikumar Sastry, Adeel Ahmad, Nathan Jacobs:
GEOBIND: Binding Text, Image, and Audio through Satellite Images. CoRR abs/2404.11720 (2024)
[i57]
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Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik:
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. CoRR abs/2406.01917 (2024)
[i56]
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Zhexiao Xiong, Xin Xing, Scott Workman, Subash Khanal, Nathan Jacobs:
Mixed-View Panorama Synthesis using Geospatially Guided Diffusion. CoRR abs/2407.09672 (2024)
[i55]
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Feng Qiao, Zhexiao Xiong, Xinge Zhu, Yuexin Ma, Qiumeng He, Nathan Jacobs:
MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas. CoRR abs/2408.01653 (2024)
[i54]
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Subash Khanal, Eric Xing, Srikumar Sastry, Aayush Dhakal, Zhexiao Xiong, Adeel Ahmad, Nathan Jacobs:
PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping. CoRR abs/2408.07050 (2024)
[i53]
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Zhexiao Xiong, Wei Xiong, Jing Shi, He Zhang, Yizhi Song, Nathan Jacobs:
GroundingBooth: Grounding Text-to-Image Customization. CoRR abs/2409.08520 (2024)
[i52]
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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:
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation. CoRR abs/2409.16252 (2024)
[i51]
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José Nascimento, Nathan Jacobs, Anderson Rocha:
Interactive Event Sifting using Bayesian Graph Neural Networks. CoRR abs/2410.05359 (2024)
[i50]
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Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs:
TaxaBind: A Unified Embedding Space for Ecological Applications. CoRR abs/2411.00683 (2024)
[i49]
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Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik:
Active Geospatial Search for Efficient Tenant Eviction Outreach. CoRR abs/2412.17854 (2024)
2023
[i48]
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Cohen Archbold, Benjamin Brodie, Aram Ansary Ogholbake, Nathan Jacobs:
Fine-Grained Property Value Assessment using Probabilistic Disaggregation. CoRR abs/2306.00246 (2023)
[i47]
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Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Nathan Jacobs:
Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. CoRR abs/2307.15904 (2023)
[i46]
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Zhexiao Xiong, Feng Qiao, Yu Zhang, Nathan Jacobs:
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. CoRR abs/2309.01842 (2023)
[i45]
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Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs:
Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. CoRR abs/2309.10667 (2023)
[i44]
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Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sánchez Giraldo:
FroSSL: Frobenius Norm Minimization for Self-Supervised Learning. CoRR abs/2310.02903 (2023)
[i43]
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Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik:
A Partially Supervised Reinforcement Learning Framework for Visual Active Search. CoRR abs/2310.09689 (2023)
[i42]
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Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs:
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning. CoRR abs/2310.15985 (2023)
[i41]
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  - journals/corr/abs-2310-19168
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Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs:
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. CoRR abs/2310.19168 (2023)
[i40]
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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 abs/2312.07389 (2023)
[i39]
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Srikumar Sastry, Xin Xing, Aayush Dhakal, Subash Khanal, Adeel Ahmad, Nathan Jacobs:
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling. CoRR abs/2312.08334 (2023)
2022
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Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs:
Revisiting Near/Remote Sensing with Geospatial Attention. CoRR abs/2204.01807 (2022)
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  - journals/corr/abs-2206-14841
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Subash Khanal, Benjamin Brodie, Xin Xing, Ai-Ling Lin, Nathan Jacobs:
Causality for Inherently Explainable Transformers: CAT-XPLAIN. CoRR abs/2206.14841 (2022)
[i36]
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  - journals/corr/abs-2211-00543
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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 abs/2211.00543 (2022)
[i35]
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  - journals/corr/abs-2211-15788
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Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik:
A Visual Active Search Framework for Geospatial Exploration. CoRR abs/2211.15788 (2022)
2021
[i34]
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  - journals/corr/abs-2103-04736
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Rafael Padilha, Tawfiq Salem, Scott Workman, Fernanda A. Andaló, Anderson Rocha, Nathan Jacobs:
Content-Based Detection of Temporal Metadata Manipulation. CoRR abs/2103.04736 (2021)
[i33]
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  - journals/corr/abs-2104-05107
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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 abs/2104.05107 (2021)
[i32]
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  - journals/corr/abs-2105-01793
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David Jones, Nathan Jacobs:
Intensity Harmonization for Airborne LiDAR. CoRR abs/2105.01793 (2021)
[i31]
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  - journals/corr/abs-2110-09641
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Yu Zhang, Gongbo Liang, Nathan Jacobs:
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. CoRR abs/2110.09641 (2021)
2020
[i30]
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  - journals/corr/abs-2002-11881
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Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs:
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. CoRR abs/2002.11881 (2020)
[i29]
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  - journals/corr/abs-2002-12314
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Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs:
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. CoRR abs/2002.12314 (2020)
[i28]
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  - journals/corr/abs-2002-12392
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Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs:
Joint 2D-3D Breast Cancer Classification. CoRR abs/2002.12392 (2020)
[i27]
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  - journals/corr/abs-2003-01111
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Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang:
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. CoRR abs/2003.01111 (2020)
[i26]
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  - journals/corr/abs-2006-08021
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Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs:
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. CoRR abs/2006.08021 (2020)
[i25]
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  - journals/corr/abs-2006-14547
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Armin Hadzic, Gordon A. Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee:
Estimating Displaced Populations from Overhead. CoRR abs/2006.14547 (2020)
[i24]
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Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs:
Single Image Cloud Detection via Multi-Image Fusion. CoRR abs/2007.15144 (2020)
[i23]
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  - journals/corr/abs-2009-04057
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Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs:
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. CoRR abs/2009.04057 (2020)
[i22]
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  - journals/corr/abs-2010-03060
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Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs:
Weakly-Supervised Feature Learning via Text and Image Matching. CoRR abs/2010.03060 (2020)
[i21]
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  - journals/corr/abs-2012-00119
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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 abs/2012.00119 (2020)
[i20]
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  - journals/corr/abs-2012-02368
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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 abs/2012.02368 (2020)
[i19]
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  - journals/corr/abs-2012-10530
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Scott Workman, Nathan Jacobs:
Dynamic Traffic Modeling From Overhead Imagery. CoRR abs/2012.10530 (2020)
[i18]
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Hunter Blanton, Scott Workman, Nathan Jacobs:
A Structure-Aware Method for Direct Pose Estimation. CoRR abs/2012.12360 (2020)
[i17]
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  - journals/corr/abs-2012-14885
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Tawfiq Salem, Scott Workman, Nathan Jacobs:
Learning a Dynamic Map of Visual Appearance. CoRR abs/2012.14885 (2020)
2019
[i16]
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  - journals/corr/abs-1901-06013
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Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs:
FARSA: Fully Automated Roadway Safety Assessment. CoRR abs/1901.06013 (2019)
[i15]
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  - journals/corr/abs-1906-10104
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Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs:
Remote Estimation of Free-Flow Speeds. CoRR abs/1906.10104 (2019)
[i14]
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Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs:
Learning to Map Nearly Anything. CoRR abs/1909.06928 (2019)
[i13]
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  - journals/corr/abs-1909-07499
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Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs:
Learning Geo-Temporal Image Features. CoRR abs/1909.07499 (2019)
2018
[i12]
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  - journals/corr/abs-1802-08872
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Hamid Hamraz, Nathan B. Jacobs, Marco A. Contreras, Chase H. Clark:
Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees. CoRR abs/1802.08872 (2018)
[i11]
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  - journals/corr/abs-1803-10870
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Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker:
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. CoRR abs/1803.10870 (2018)
[i10]
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  - journals/corr/abs-1808-00995
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Connor Greenwell, Scott Workman, Nathan Jacobs:
What Goes Where: Predicting Object Distributions from Above. CoRR abs/1808.00995 (2018)
[i9]
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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 abs/1810.09528 (2018)
2017
[i8]
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Nam N. Vo, Nathan Jacobs, James Hays:
Revisiting IM2GPS in the Deep Learning Era. CoRR abs/1705.04838 (2017)
[i7]
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  - journals/corr/abs-1708-03035
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Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs:
A Unified Model for Near and Remote Sensing. CoRR abs/1708.03035 (2017)
2016
[i6]
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Scott Workman, Menghua Zhai, Nathan Jacobs:
Horizon Lines in the Wild. CoRR abs/1604.02129 (2016)
[i5]
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Menghua Zhai, Scott Workman, Nathan Jacobs:
Detecting Vanishing Points using Global Image Context in a Non-Manhattan World. CoRR abs/1608.05684 (2016)
[i4]
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Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs:
Predicting Ground-Level Scene Layout from Aerial Imagery. CoRR abs/1612.02709 (2016)
[i3]
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Scott Workman, Richard Souvenir, Nathan Jacobs:
Quantifying and Predicting Image Scenicness. CoRR abs/1612.03142 (2016)
2015
[i2]
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  - journals/corr/WorkmanSJ15
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Scott Workman, Richard Souvenir, Nathan Jacobs:
Wide-Area Image Geolocalization with Aerial Reference Imagery. CoRR abs/1510.03743 (2015)
2013
[i1]
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  - journals/corr/abs-1304-4112
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Austin Abrams, Christopher Hawley, Kylia Miskell, Adina Stoica, Nathan Jacobs, Robert Pless:
Shadow Estimation Method for "The Episolar Constraint: Monocular Shape from Shadow Correspondence". CoRR abs/1304.4112 (2013)

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