Nathan Jacobs

@inproceedings{sarkar2026diffvas,
  spotlight = {true},
  title = {{DiffVAS}: Diffusion-Guided Visual Active Search in Partially Observable Environments},
  author = {Sarkar, Anindya and Sastry, Srikumar and Pirinen, Aleksis and Jacobs, Nathan and Vorobeychik, Yevgeniy},
  year = {2026},
  month = may,
  booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
  author+an = {4=highlight},
  annotation = {rl,remote_sensing,geoai,generative}
}

@inproceedings{cher2026vector,
  spotlight = {true},
  annotation = {remote_sensing,geoai,generative},
  author = {Cher, Dan and Wei, Brian and Sastry, Srikumar and Jacobs, Nathan},
  title = {{VectorSynth}: Fine-Grained Satellite Image Synthesis with Structured Semantics},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  author+an = {4=highlight},
  primaryclass = {cs.CV},
  thumbnail = {/thumbnails/vector_synth.jpg},
  month = mar,
  eprint = {2511.07744},
  pdf = {https://arxiv.org/pdf/2511.07744.pdf},
  archiveprefix = {arXiv},
  year = {2026}
}

@inproceedings{qiao2025genstereo,
  spotlight = {true},
  annotation = {generative,geometric},
  author = {Qiao, Feng and Xiong, Zhexiao and Xing, Eric and Jacobs, Nathan},
  pdf = {https://arxiv.org/pdf/2503.12720},
  title = {Towards Open-World Generation of Stereo Images and Unsupervised Matching},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  project = {https://qjizhi.github.io/genstereo/},
  thumbnail = {/thumbnails/genstereo.jpg},
  code = {https://github.com/Qjizhi/GenStereo},
  linkedin = {https://www.linkedin.com/posts/jacobsn_new-paper-alert-genstereo-towards-activity-7311027987846438913-5DTA?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
  year = {2025},
  day = {20},
  month = oct,
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  eprint = {2503.12720}
}

@inproceedings{sastry2025entailment,
  spotlight = {true},
  annotation = {remote_sensing,ecology,geoai},
  code = {https://github.com/mvrl/RCME},
  author = {Sastry, Srikumar and Dhakal, Aayush and Xing, Eric and Khanal, Subash and Jacobs, Nathan},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  project = {https://vishu26.github.io/RCME/index.html},
  title = {Global and Local Entailment Learning for Natural World Imagery},
  thumbnail = {/thumbnails/rcme.jpg},
  pdf = {https://arxiv.org/pdf/2506.21476},
  linkedin = {https://www.linkedin.com/posts/jacobsn_iccv-activity-7346288054933889026-dtmK?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
  volume = {2506.21476},
  year = {2025},
  day = {20},
  month = oct,
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  eprint = {2506.21476}
}

@inproceedings{xing2025cir,
  spotlight = {true},
  annotation = {vlm},
  author = {Xing, Eric and Kolouju, Pranavi and Pless, Robert and Stylianou, Abby and Jacobs, Nathan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  title = {{ConText-CIR}: Learning from Concepts in Text for Composed Image Retrieval},
  thumbnail = {/thumbnails/context-cir.jpg},
  pdf = {https://arxiv.org/pdf/2505.20764},
  linkedin = {https://www.linkedin.com/posts/jacobsn_if-you-are-at-cvpr-please-stop-by-our-poster-activity-7339745971360145411-eHCk?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
  code = {https://github.com/mvrl/ConText-CIR},
  month = jun,
  day = {12},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  eprint = {2505.20764},
  year = {2025}
}

@inproceedings{dhakal2025range,
  spotlight = {true},
  annotation = {remote_sensing,geoai},
  author = {Dhakal, Aayush and Sastry, Srikumar and Khanal, Subash and Ahmad, Adeel and Xing, Eric and Jacobs, Nathan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  thumbnail = {/thumbnails/range.jpg},
  pdf = {https://arxiv.org/pdf/2502.19781},
  linkedin = {https://www.linkedin.com/posts/jacobsn_range-retrieval-augmented-neural-fields-activity-7301277448279638016-q_vx?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
  title = {{RANGE}: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings},
  month = jun,
  day = {12},
  year = {2025},
  code = {https://github.com/mvrl/RANGE},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  eprint = {2502.19781}
}

@article{xiong2025mvps,
  spotlight = {true},
  annotation = {remote_sensing,geoai},
  title = {Mixed-View Panorama Synthesis using Geospatially Guided Diffusion},
  author = {Xiong, Zhexiao and Xing, Xin and Workman, Scott and Khanal, Subash and Jacobs, Nathan},
  journal = {Transactions on Machine Learning Research (TMLR)},
  year = {2025},
  eprint = {2407.09672},
  thumbnail = {/thumbnails/mixedview.jpg},
  linkedin = {https://www.linkedin.com/posts/jacobsn_new-paper-alert-mixed-view-panorama-synthesis-activity-7340423839358570496-Wr8_?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
  month = may,
  archiveprefix = {arXiv},
  author+an = {5=highlight},
  project = {https://mixed-view.github.io/},
  pdf = {https://arxiv.org/pdf/2407.09672},
  primaryclass = {cs.CV}
}

@inproceedings{sastry2025taxa,
  spotlight = {true},
  annotation = {remote_sensing,ecology,geoai},
  title = {{TaxaBind}: A Unified Embedding Space for Ecological Applications},
  author = {Sastry, Srikumar and Khanal, Subash and Dhakal, Aayush and Ahmad, Adeel and Jacobs, Nathan},
  year = {2025},
  month = feb,
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  author+an = {5=highlight},
  archiveprefix = {arXiv},
  thumbnail = {/thumbnails/taxabind.jpg},
  primaryclass = {cs.CV},
  eprint = {2411.00683},
  code = {https://github.com/mvrl/TaxaBind},
  project = {https://vishu26.github.io/taxabind},
  linkedin = {https://www.linkedin.com/posts/jacobsn_im-excited-to-share-that-taxabind-a-unified-activity-7259230411728277504-HgXc?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
  pdf = {https://openaccess.thecvf.com/content/WACV2025/papers/Sastry_TaxaBind_A_Unified_Embedding_Space_for_Ecological_Applications_WACV_2025_paper.pdf}
}

@inproceedings{kerner2025ftw,
  spotlight = {true},
  annotation = {remote_sensing,agriculture,geoai},
  linkedin = {https://www.linkedin.com/posts/adeel-ahmad-gis_fields-of-the-world-a-comprehensive-benchmark-activity-7246891284445958144-9Qe5?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
  title = {{Fields of The World}: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation},
  author = {Kerner, Hannah and Chaudhari, Snehal and Ghosh, Aninda and Robinson, Caleb and Ahmad, Adeel and Choi, Eddie and Jacobs, Nathan and Holmes, Chris and Mohr, Matthias and Dodhia, Rahul and Ferres, Juan M. Lavista and Marcus, Jennifer},
  author+an = {7=highlight},
  thumbnail = {/thumbnails/ftw.jpg},
  booktitle = {Association for the Advancement of Artificial Intelligence (AAAI)},
  code = {https://github.com/fieldsoftheworld/ftw-baselines},
  volume = {2409.16252},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  eprint = {2409.16252},
  pdf = {https://arxiv.org/pdf/2409.16252},
  day = {27},
  month = feb,
  year = {2025},
  project = {https://fieldsofthe.world/}
}

@inproceedings{sarkar2024gomaageo,
  spotlight = {true},
  annotation = {rl,remote_sensing,vlm,localization,geoai},
  title = {{GOMAA-Geo}: GOal Modality Agnostic Active Geo-localization},
  author = {Sarkar, Anindya and Sastry, Srikumar and Pirinen, Aleksis and Zhang, Chongjie and Jacobs, Nathan and Vorobeychik, Yevgeniy},
  year = {2024},
  month = dec,
  day = {9},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  eprint = {2406.01917},
  archiveprefix = {arXiv},
  thumbnail = {/thumbnails/gomaa.jpg},
  author+an = {5=highlight},
  pdf = {https://papers.nips.cc/paper_files/paper/2024/file/bd8b52c2fefdb37e3b3953a37408e9dc-Paper-Conference.pdf},
  arxiv = {https://arxiv.org/pdf/2406.01917},
  code = {https://github.com/mvrl/GOMAA-Geo},
  linkedin = {https://www.linkedin.com/posts/jacobsn_im-excited-to-announce-that-gomaa-geo-activity-7244782724610211840-43Vs?utm_source=share&utm_medium=member_desktop},
  primaryclass = {cs.CV}
}