Publications
More details on Google Scholar.
“Nighthawk: acoustic monitoring of nocturnal bird migration in the Americas”
Benjamin Van Doren, Andrew Farnsworth, Kate Stone, Dylan Osterhaus, Jacob Drucker, Grant Van Horn
Methods in Ecology and Evolution 2023
[pdf][data]
@article{van2023nighthawk,
title = {Nighthawk: Acoustic monitoring of nocturnal bird migration in the Americas},
author = {Van Doren, Benjamin M. and Farnsworth, Andrew and Stone, Kate and Osterhaus, Dylan M. and Drucker, Jacob and Van Horn, Grant},
journal = {Methods in Ecology and Evolution},
year={2023},
doi = {https://doi.org/10.1111/2041-210X.14272},
url = {https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.14272},
eprint = {https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.14272}
}
“Active Learning-Based Species Range Estimation”
Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha
NeurIPS 2023
[pdf][data]
@inproceedings{active_SDM_2023,
title={Active Learning-Based Species Range Estimation},
author={Lange, Christian and Cole, Elijah and Van Horn, Grant and Mac Aodha, Oisin},
booktitle={NeurIPS},
year={2023}
}
“Spatial Implicit Neural Representations for Global-Scale Species Mapping”
Elijah Cole, Grant Van Horn, Christian Lange, Alex Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
ICML 2023
[pdf][video][data]
@inproceedings{SINR_icml23,
title={Spatial Implicit Neural Representations for Global-Scale Species Mapping},
author={Cole, Elijah and Van Horn, Grant and Lange, Christian and Shepard, Alexander and Leary, Patrick and Perona, Pietro and Loarie, Scott and Mac Aodha, Oisin},
booktitle={ICML},
year={2023}
}
“Citizen science photographs indicate different timing and location use of migrating adult and juvenile Whimbrels”
Chance Hines, Laura Duval, Bryan D Watts, Grant Van Horn, Eliot Miller
Ornithological Applications 2023
[link]
@article{hines2023citizen,
title={Citizen science photographs indicate different timing and location use of migrating adult and juvenile Whimbrels},
author={Hines, Chance and Duval, Laura and Watts, Bryan D and Van Horn, Grant and Miller, Eliot},
journal={Ornithological Applications},
volume={125},
number={2},
pages={duad011},
year={2023},
publisher={Oxford University Press US}
}
“Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset”
Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge Belongie
ECCV 2022
[pdf][video][data]
@inproceedings{ssw602022eccv,
author={Van Horn, Grant and Qian, Rui and Wilber, Kimberly and Adam, Hartwig and Mac Aodha, Oisin and Belongie, Serge},
title={Exploring Fine-grained Audiovisual Categorization with the SSW60 Dataset},
booktitle={European Conference on Computer Vision (ECCV)},
year={2022}
}
“The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting”
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
ECCV 2022
[pdf][video][data]
@inproceedings{cfc2022eccv,
author={Kay, Justin and Kulits, Peter and Stathatos, Suzanne and Deng, Siqi and Young, Erik and Beery, Sara and Van Horn, Grant and Perona, Pietro},
title={The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting},
booktitle={European Conference on Computer Vision (ECCV)},
year={2022}
}
“On Label Granularity and Object Localization”
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha
ECCV 2022
[pdf][video][data]
@inproceedings{cole2022label,
title={On Label Granularity and Object Localization},
author={Cole, Elijah and Wilber, Kimberly and Van Horn, Grant and Yang, Xuan and Fornoni, Marco and Perona, Pietro and Belongie, Serge and Howard, Andrew and Mac Aodha, Oisin},
booktitle={European Conference on Computer Vision},
year={2022},
organization={Springer}
}
“Perspectives in machine learning for wildlife conservation”
Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant Van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Berger-Wolf
Nature Communications, 2022
[html]
@article{tuia2022perspectives,
title={Perspectives in machine learning for wildlife conservation},
author={Tuia, Devis and Kellenberger, Benjamin and Beery, Sara and Costelloe, Blair R and Zuffi, Silvia and Risse, Benjamin and Mathis, Alexander and Mathis, Mackenzie W and van Langevelde, Frank and Burghardt, Tilo and others},
journal={Nature communications},
volume={13},
number={1},
pages={1--15},
year={2022},
publisher={Nature Publishing Group}
}
“Benchmarking Representation Learning for Natural World Image Collections”
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge Belongie, Oisin Mac Aodha
CVPR 2021
[pdf][video][data]
@inproceedings{van2021benchmarking,
title={Benchmarking Representation Learning for Natural World Image Collections},
author={Van Horn, Grant and Cole, Elijah and Beery, Sara and Wilber, Kimberly and Belongie, Serge and Mac Aodha, Oisin},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={12884--12893},
year={2021}
}
“Few-Shot Fine-Grained Visual Classification using Coarse-Grained Supervision”
Madison Van Horn, Declan Barry, Sammit Ranade, Grant Van Horn
FGVC8 at CVPR 2021
[pdf]
@inproceedings{van2021fewshot,
title={Few-Shot Fine-Grained Visual Classification using Coarse-Grained Supervision},
author={Van Horn, Madison and Barry, Declan and Ranade, Sammit and Van Horn, Grant},
booktitle={8th Workshop on Fine-Grained Visual Categorization, at CVPR2021},
year={2021}
}
“Automated Salmonid Counting in Sonar Data”
Peter Kulits, Angelina Pan, Sara M Beery, Erik Young, Pietro Perona, Grant Van Horn
Tackling Climate Change with Machine Learning, NeurIPS 2020
[pdf]
@inproceedings{kulits2020automated,
title={Automated Salmonid Counting in Sonar Data},
author={Kulits, Peter and Pan, Angelina and Beery, Sara and Young, Erik and Perona, Pietro and Van Horn, Grant},
booktitle={NeurIPS Workshop on Tackling Climate Change with Machine Learning},
year={2020}
}
“Towards a Visipedia: Combining Computer Vision and Communities of Experts.”
Grant Van Horn
Thesis (Ph.D.), 2019
[pdf]
@phdthesis{gvanhorn2019thesis,
author={Grant Van Horn},
title={Towards a Visipedia: Combining Computer Vision and Communities of Experts.},
school={Caltech},
address={Pasadena, CA},
year={2019}
}
“Recognition in Terra Incognita”
Sara Beery, Grant Van Horn, Pietro Perona
ECCV 2018, Munich, Germany
[pdf][data]
@inproceedings{beery2018rec,
title={Recognition in Terra Incognita},
author={Beery, Sara and Van Horn, Grant and Perona, Pietro},
booktitle={Proceedings of the European Conference on Computer Vision},
year={2018},
address={Munich, Germany}
}
“Lean Multiclass Crowdsourcing”
Grant Van Horn, Steve Branson, Scott Loarie, Serge Belongie, Pietro Perona
CVPR 2018, Salt Lake City, Utah
[pdf]
@inproceedings{gvanhorn2018lean,
title={Lean Multiclass Crowdsourcing},
author={Van Horn, Grant and Branson, Steve and Loarie, Scott and Belongie, Serge and Perona, Pietro},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2018},
address={Salt Lake City, UT}
}
“The iNaturalist Species Classification and Detection Dataset”
Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, Serge Belongie
CVPR 2018, Salt Lake City, Utah
[pdf][data]
@inproceedings{gvanhorn2018inat,
title={The iNaturalist Species Classification and Detection Dataset},
author={Van Horn, Grant and Mac Aodha, Oisin and Song, Yang and Cui, Yin and Sun, Chen and Shepard, Alex and Adam, Hartwig and Perona, Pietro and Belongie, Serge},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2018},
address={Salt Lake City, UT}
}
“Lean Crowdsourcing: Combining Humans and Machines in an Online System”
Steve Branson, Grant Van Horn, Pietro Perona
CVPR 2017, Honolulu, Hawaii
[pdf]
@inproceedings{branson2017lean,
title={Lean Crowdsourcing: Combining Humans and Machines in an Online System},
author={Branson, Steve and Van Horn, Grant and Perona, Pietro},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2017},
address={Honolulu, HI}
}
“The Devil is in the Tails: Fine-grained Classification in the Wild”
Grant Van Horn, Pietro Perona
[pdf] [arxiv]
@article{van2017devil,
title={The Devil is in the Tails: Fine-grained Classification in the Wild},
author={Van Horn, Grant and Perona, Pietro},
journal={arXiv preprint arXiv:1709.01450},
year={2017}
}
“Tropel: Crowdsourcing Detectors with Minimal Training.”
Genevieve Patterson, Grant Van Horn, Serge Belongie, Pietro Perona, James Hays
HCOMP 2015, San Diego, California
[pdf]
@inproceedings{patterson2015tropel,
title={Tropel: Crowdsourcing Detectors with Minimal Training.},
author={Patterson, Genevieve and Van Horn, Grant and Belongie, Serge J and Perona, Pietro and Hays, James},
booktitle={HCOMP},
pages={150--159},
year={2015},
address={San Diego, CA}
}
“Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection”
Grant Van Horn, Steve Branson, Ryan Farrell, Scott Haber, Jessie Barry, Panos Ipeirotis, Pietro Perona, Serge Belongie
CVPR 2015, Boston, Massachusetts
[pdf][data]
@inproceedings{van2015building,
title={Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection},
author={Van Horn, Grant and Branson, Steve and Farrell, Ryan and Haber, Scott and Barry, Jessie and Ipeirotis, Panos and Perona, Pietro and Belongie, Serge},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={595--604},
year={2015},
address={Boston, MA}
}
“Bird species categorization using pose normalized deep convolutional nets”
Steve Branson, Grant Van Horn, Serge Belongie, Pietro Perona
BMVC 2014, Nottingham, UK
[pdf]
@inproceedings{branson2014bird,
title={Bird species categorization using pose normalized deep convolutional nets},
author={Branson, Steve and Van Horn, Grant and Belongie, Serge and Perona, Pietro},
booktitle={British Machine Vision Conference},
year={2014},
address={Nottingham, UK}
}
“The ignorant led by the blind: A hybrid human–machine vision system for fine-grained categorization”
Steve Branson, Grant Van Horn, Catherine Wah, Pietro Perona, Serge Belongie
IJCV 2014
[pdf]
@article{branson2014ignorant,
title={The ignorant led by the blind: A hybrid human--machine vision system for fine-grained categorization},
author={Branson, Steve and Van Horn, Grant and Wah, Catherine and Perona, Pietro and Belongie, Serge},
journal={International Journal of Computer Vision},
volume={108},
number={1-2},
pages={3--29},
year={2014},
publisher={Springer}
}
“Similarity comparisons for interactive fine-grained categorization”
Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge Belongie
CVPR 2014, Columbus, Ohio
[pdf]
@inproceedings{wah2014similarity,
title={Similarity comparisons for interactive fine-grained categorization},
author={Wah, Catherine and Van Horn, Grant and Branson, Steve and Maji, Subhransu and Perona, Pietro and Belongie, Serge},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={859--866},
year={2014}
}
“Bootstrapping Fine-Grained Classifiers: Active Learning with a Crowd in the Loop”
Genevieve Patterson, Grant Van Horn, Serge Belongie, Pietro Perona, James Hayes
NIPS Workshop on Crowdsourcing: Theory, Algorithms and Applications 2013, Lake Tahoe, CA
[pdf]
@inproceedings{patterson2013boot,
title={Bootstrapping Fine-Grained Classifiers: Active Learning with a Crowd in the Loop},
author={Genevieve Patterson and Grant Van Horn and Serge Belongie and Pietro Perona and James Hays},
booktitle={NIPS Workshop on Crowdsourcing: Theory, Algorithms and Applications},
year={2013},
address={Lake Tahoe, CA}
}