Van Horn, Grant

23 publications

TMLR 2025 Align and Distill: Unifying and Improving Domain Adaptive Object Detection Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn

NeurIPS 2025 CleverBirds: A Multiple-Choice Benchmark for Fine-Grained Human Knowledge Tracing Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn, Oisin Mac Aodha

ICCV 2025 Consensus-Driven Active Model Selection Justin Kay, Grant Van Horn, Subhransu Maji, Daniel Sheldon, Sara Beery

ICML 2025 Feedforward Few-Shot Species Range Estimation Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha

ICCV 2025 Generate, Transduct, Adapt: Iterative Transduction with VLMs Oindrila Saha, Logan Lawrence, Grant Van Horn, Subhransu Maji

NeurIPS 2025 Merlin L48 Spectrogram Dataset Aaron Sun, Subhransu Maji, Grant Van Horn

ICCV 2025 WildSAT: Learning Satellite Image Representations from Wildlife Observations Rangel Daroya, Elijah Cole, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji

NeurIPS 2024 Combining Observational Data and Language for Species Range Estimation Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji

ECCV 2024 Human-in-the-Loop Visual Re-ID for Population Size Estimation Gustavo Perez, Daniel Sheldon, Grant Van Horn, Subhransu Maji

NeurIPS 2024 INQUIRE: A Natural World Text-to-Image Retrieval Benchmark Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn

CVPR 2024 Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions Oindrila Saha, Grant Van Horn, Subhransu Maji

NeurIPS 2024 The iNaturalist Sounds Dataset Mustafa Chasmai, Alexander Shepard, Subhransu Maji, Grant Van Horn

NeurIPS 2023 Active Learning-Based Species Range Estimation Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha

ICML 2023 Spatial Implicit Neural Representations for Global-Scale Species Mapping Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha

NeurIPSW 2023 Unsupervised Domain Adaptation in the Real World: A Case Study in Sonar Video Justin Kay, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn

ECCV 2022 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 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 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

CVPR 2021 Benchmarking Representation Learning for Natural World Image Collections Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge Belongie, Oisin Mac Aodha

ECCV 2018 Recognition in Terra Incognita Sara Beery, Grant Van Horn, Pietro Perona

CVPR 2017 Lean Crowdsourcing: Combining Humans and Machines in an Online System Steve Branson, Grant Van Horn, Pietro Perona

CVPR 2015 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 2014 Similarity Comparisons for Interactive Fine-Grained Categorization Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge Belongie