G. Van Horn

Most-cited papers

The iNaturalist Species Classification and Detection Dataset
G. Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui +5 more
20172018 IEEE/CVF Conference on Computer Vision and Pattern Recognition2,222 citations
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Recognition in Terra Incognita
Sara Beery, G. Van Horn, P. Perona
2018European Conference on Computer Vision1,163 citations
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Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
G. Van Horn, Steve Branson, Ryan Farrell, S. Haber +4 more
2015Computer Vision and Pattern Recognition752 citations
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Perspectives in machine learning for wildlife conservation
D. Tuia, B. Kellenberger, Sara Beery, B. Costelloe +14 more
2021Nature Communications736 citations Open access
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Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Steve Branson, G. Van Horn, Serge J. Belongie, P. Perona
2014arXiv.org557 citations
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Benchmarking Representation Learning for Natural World Image Collections
G. Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber +2 more
2021Computer Vision and Pattern Recognition260 citations Open access
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The Devil is in the Tails: Fine-grained Classification in the Wild
G. Van Horn, P. Perona
2017arXiv.org226 citations
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Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets
Steve Branson, G. Van Horn, P. Perona, Serge J. Belongie
2014British Machine Vision Conference125 citations Open access
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Similarity Comparisons for Interactive Fine-Grained Categorization
Catherine Wah, G. Van Horn, Steve Branson, Subhransu Maji +2 more
20142014 IEEE Conference on Computer Vision and Pattern Recognition102 citations
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Spatial Implicit Neural Representations for Global-Scale Species Mapping
Elijah Cole, G. Van Horn, Christian Lange, Alexander Shepard +4 more
2023International Conference on Machine Learning92 citations Open access
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Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
Oindrila Saha, G. Van Horn, S. Maji
2024Computer Vision and Pattern Recognition86 citations Open access
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The iNaturalist Challenge 2017 Dataset
G. Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard +3 more
2017arXiv.org84 citations
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The Ignorant Led by the Blind: A Hybrid Human–Machine Vision System for Fine-Grained Categorization
Steve Branson, G. Van Horn, Catherine Wah, P. Perona +1 more
2014International Journal of Computer Vision83 citations
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The iNaturalist Species Classification and Detection Dataset-Supplementary Material
G. Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui +3 more
201866 citations
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INQUIRE: A Natural World Text-to-Image Retrieval Benchmark
Edward Vendrow, Omiros Pantazis, Alexander Shepard, G. Brostow +4 more
2024Neural Information Processing Systems52 citations
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The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng +4 more
2022European Conference on Computer Vision52 citations Open access
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Lean Crowdsourcing: Combining Humans and Machines in an Online System
Steve Branson, G. Van Horn, P. Perona
2017Computer Vision and Pattern Recognition44 citations
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The iNaturalist Sounds Dataset
Mustafa Chasmai, S. Maji, Alexander Shepard, G. Van Horn
2025Neural Information Processing Systems35 citations
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Tropel: Crowdsourcing Detectors with Minimal Training
G. Patterson, G. Van Horn, Serge J. Belongie, P. Perona +1 more
2015AAAI Conference on Human Computation & Crowdsourcing34 citations Open access
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The iWildCam 2018 Challenge Dataset
Sara Beery, G. Van Horn, Oisin Mac Aodha, P. Perona
2019arXiv.org30 citations
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Nighthawk: acoustic monitoring of nocturnal bird migration in the Americas
B. V. Van Doren, Andrew Farnsworth, Kate Stone, Dylan M. Osterhaus +2 more
2023bioRxiv27 citations Open access
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Align and Distill: Unifying and Improving Domain Adaptive Object Detection
Justin Kay, T. Haucke, Suzanne Stathatos, Siqi Deng +4 more
2024Trans. Mach. Learn. Res.25 citations
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Lean Multiclass Crowdsourcing
G. Van Horn, Steve Branson, S. Loarie, Serge J. Belongie +1 more
20182018 IEEE/CVF Conference on Computer Vision and Pattern Recognition25 citations
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Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
G. Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam +2 more
2022European Conference on Computer Vision24 citations Open access
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Combining Observational Data and Language for Species Range Estimation
Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard +4 more
2024Neural Information Processing Systems19 citations
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Active Learning-Based Species Range Estimation
Christian Lange, Elijah Cole, G. Van Horn, Oisin Mac Aodha
2023Neural Information Processing Systems18 citations
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WildSAT: Learning Satellite Image Representations from Wildlife Observations
R. Daroya, Elijah Cole, O. M. Aodha, G. Van Horn +1 more
2024IEEE International Conference on Computer Vision17 citations Open access
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On Label Granularity and Object Localization
Elijah Cole, Kimberly Wilber, G. Van Horn, Xuan Yang +5 more
2022European Conference on Computer Vision17 citations Open access
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Training Machines to Identify Species using GBIF-mediated Datasets
T. Robertson, Serge J. Belongie, Hartwig Adam, Christine Kaeser-Chen +12 more
2019Biodiversity Information Science and Standards12 citations Open access
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Human-in-the-Loop Visual Re-ID for Population Size Estimation
Gustavo Pérez, Daniel Sheldon, G. Van Horn, S. Maji
2023European Conference on Computer Vision9 citations Open access
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Bootstrapping Fine-Grained Classifiers : Active Learning with a Crowd in the Loop
G. Patterson, G. Van Horn, Serge J. Belongie, P. Perona +1 more
20139 citations
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Consensus-Driven Active Model Selection
Justin Kay, G. Van Horn, S. Maji, Daniel Sheldon +1 more
2025IEEE International Conference on Computer Vision7 citations Open access
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Feedforward Few-shot Species Range Estimation
Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard +5 more
2025International Conference on Machine Learning6 citations
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Bioacoustic Geolocation: Species Sounds as Geographic Signals
Mustafa Chasmai, Wuao Liu, S. Maji, G. Van Horn
20255 citations
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Counting Fish with Temporal Representations of Sonar Video
Kai Van Brunt, Justin Kay, T. Haucke, Pietro Perona +2 more
2025arXiv.org5 citations
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Moment Sampling in Video LLMs for Long-Form Video QA
Mustafa Chasmai, Gauri Jagatap, K. Gouthaman, G. Van Horn +2 more
2025arXiv.org5 citations
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Glass transition behavior of poly(methyl methacrylate) in compressed carbon dioxide revisited – New perspectives
J. A. Sarver, G. Van Horn, E. Kiran
2022Thermochimica Acta5 citations
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Generate, Transduct, Adapt: Iterative Transduction with VLMs
Oindrila Saha, Logan Lawrence, G. Van Horn, S. Maji
2025IEEE International Conference on Computer Vision3 citations Open access
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Citizen science photographs indicate different timing and location use of migrating adult and juvenile Whimbrels
C. Hines, L. Duval, B. Watts, G. Van Horn +1 more
2023Ornithological Applications3 citations
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Thermal transitions and foaming of a rubbery polymer, poly(ethylene-co-vinyl acetate-co-carbon monoxide), in carbon dioxide. Temperature scaling as a new approach for rational selection of foaming conditions
J. A. Sarver, Dawn D. Rhee, G. Van Horn, J. F. Adams +1 more
2023Journal of Supercritical Fluids2 citations
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Towards a Visipedia: Combining Computer Vision and Communities of Experts
G. Van Horn
20192 citations
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Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study
Wuao Liu, Mustafa Chasmai, S. Maji, G. Van Horn
2026arXiv.org1 citations
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You May Speak Freely: Improving the Fine-Grained Visual Recognition Capabilities of Multimodal Large Language Models with Answer Extraction
Logan Lawrence, Oindrila Saha, Megan Wei, Chen Sun +2 more
2025IEEE Workshop/Winter Conference on Applications of Computer Vision1 citations
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Merlin L48 Spectrogram Dataset
Aaron Sun, S. Maji, G. Van Horn
2025Neural Information Processing Systems1 citations
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Training machines to improve species identification using GBIF-mediated datasets
Kyle Copas, T. Robertson, Serge J. Belongie, Christine Kaeser-Chen +12 more
20191 citations
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RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs
Logan Lawrence, Mustafa Chasmai, R. Daroya, Wuao Liu +7 more
2026arXiv.org0 citations
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The BirdsPlus Index, a novel method for assessing site-level conservation values
Eliot T. Miller, Jeffery L. Larkin, A. M. Matthews, Michael J. Parr +3 more
2025bioRxiv0 citations Open access
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CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
Leonie Bossemeyer, Samuel Heinrich, G. Van Horn, O. M. Aodha
2025Neural Information Processing Systems0 citations
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The Caltech Fish Counting Dataset: Supplementary Material
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng +4 more
20220 citations
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Edinburgh Research Explorer Active Learning-Based Species Range Estimation
Christian Lange, Elijah Cole, G. Van Horn, Oisin Mac Aodha
0 citations
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