Grant Van Horn

52 papers A* 13A 1B 1Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs. CoRR Logan Lawrence, Mustafa Chasmai, Rangel Daroya, Wuao Liu, Seoyun Jeong, Aaron Sun, Max Hamilton, Fabien Delattre, Oindrila Saha, Subhransu Maji, Grant Van Horn
2025	J	`jnl`	Align and Distill: Unifying and Improving Domain Adaptive Object Detection. Trans. Mach. Learn. Res. Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn
2025	J	`jnl`	Audio Geolocation: A Natural Sounds Benchmark. CoRR Mustafa Chasmai, Wuao Liu, Subhransu Maji, Grant Van Horn
2025	J	`jnl`	CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing. CoRR Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn, Oisin Mac Aodha
2025	J	`jnl`	Consensus-Driven Active Model Selection. CoRR Justin Kay, Grant Van Horn, Subhransu Maji, Daniel Sheldon, Sara Beery
2025	J	`jnl`	Counting Fish with Temporal Representations of Sonar Video. CoRR Kai Van Brunt, Justin Kay, Timm Haucke, Pietro Perona, Grant Van Horn, Sara Beery
2025	A*	`conf`	Feedforward Few-shot Species Range Estimation. ICML Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha
2025	J	`jnl`	Few-shot Species Range Estimation. CoRR Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha
2025	J	`jnl`	Generate, Transduct, Adapt: Iterative Transduction with VLMs. CoRR Oindrila Saha, Logan Lawrence, Grant Van Horn, Subhransu Maji
2025	J	`jnl`	Merlin L48 Spectrogram Dataset. CoRR Aaron Sun, Subhransu Maji, Grant Van Horn
2025	J	`jnl`	Moment Sampling in Video LLMs for Long-Form Video QA. CoRR Mustafa Chasmai, Gauri Jagatap, Gouthaman KV, Grant Van Horn, Subhransu Maji, Andrea Fanelli
2025	J	`jnl`	The iNaturalist Sounds Dataset. CoRR Mustafa Chasmai, Alexander Shepard, Subhransu Maji, Grant Van Horn
2025	J	`jnl`	You May Speak Freely: Improving the Fine-Grained Visual Recognition Capabilities of Multimodal Large Language Models with Answer Extraction. CoRR Logan Lawrence, Oindrila Saha, Megan Wei, Chen Sun, Subhransu Maji, Grant Van Horn
2024	J	`jnl`	Align and Distill: Unifying and Improving Domain Adaptive Object Detection. CoRR Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn
2024	A*	`conf`	Combining Observational Data and Language for Species Range Estimation. NeurIPS Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji
2024	J	`jnl`	Combining Observational Data and Language for Species Range Estimation. CoRR Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji
2024	—	`conf`	Human-in-the-Loop Visual Re-ID for Population Size Estimation. ECCV (38) Gustavo Pérez, Daniel Sheldon, Grant Van Horn, Subhransu Maji
2024	A*	`conf`	INQUIRE: A Natural World Text-to-Image Retrieval Benchmark. NeurIPS Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn
2024	J	`jnl`	INQUIRE: A Natural World Text-to-Image Retrieval Benchmark. CoRR Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn
2024	A*	`conf`	Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CVPR Oindrila Saha, Grant Van Horn, Subhransu Maji
2024	J	`jnl`	Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CoRR Oindrila Saha, Grant Van Horn, Subhransu Maji
2024	A*	`conf`	The iNaturalist Sounds Dataset. NeurIPS Mustafa Chasmai, Alexander Shepard, Subhransu Maji, Grant Van Horn
2024	J	`jnl`	WildSAT: Learning Satellite Image Representations from Wildlife Observations. CoRR Rangel Daroya, Elijah Cole, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji
2023	A*	`conf`	Active Learning-Based Species Range Estimation. NeurIPS Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha
2023	J	`jnl`	Active Learning-Based Species Range Estimation. CoRR Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha
2023	J	`jnl`	Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling. CoRR Gustavo Pérez, Daniel Sheldon, Grant Van Horn, Subhransu Maji
2023	A*	`conf`	Spatial Implicit Neural Representations for Global-Scale Species Mapping. ICML Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
2023	J	`jnl`	Spatial Implicit Neural Representations for Global-Scale Species Mapping. CoRR Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
2022	—	`conf`	Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. ECCV (8) Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
2022	J	`jnl`	Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. CoRR Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
2022	—	`conf`	On Label Granularity and Object Localization. ECCV (10) Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
2022	J	`jnl`	On Label Granularity and Object Localization. CoRR Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
2022	—	`conf`	The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. ECCV (8) Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
2022	J	`jnl`	The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. CoRR Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
2021	A*	`conf`	Benchmarking Representation Learning for Natural World Image Collections. CVPR Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
2021	J	`jnl`	Benchmarking Representation Learning for Natural World Image Collections. CoRR Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
2021	J	`jnl`	Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR 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 Y. Berger-Wolf
2019	J	`jnl`	The iWildCam 2018 Challenge Dataset. CoRR Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona
2019	—	`—`	Towards a Visipedia: Combining Computer Vision and Communities of Experts. Grant Van Horn
2018	A*	`conf`	Lean Multiclass Crowdsourcing. CVPR Grant Van Horn, Steve Branson, Scott Loarie, Serge J. Belongie, Pietro Perona
2018	—	`conf`	Recognition in Terra Incognita. ECCV (16) Sara Beery, Grant Van Horn, Pietro Perona
2018	J	`jnl`	Recognition in Terra Incognita. CoRR Sara Beery, Grant Van Horn, Pietro Perona
2018	A*	`conf`	The INaturalist Species Classification and Detection Dataset. CVPR Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
2017	A*	`conf`	Lean Crowdsourcing: Combining Humans and Machines in an Online System. CVPR Steve Branson, Grant Van Horn, Pietro Perona
2017	J	`jnl`	The Devil is in the Tails: Fine-grained Classification in the Wild. CoRR Grant Van Horn, Pietro Perona
2017	J	`jnl`	The iNaturalist Challenge 2017 Dataset. CoRR Grant Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
2015	A*	`conf`	Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection. CVPR Grant Van Horn, Steve Branson, Ryan Farrell, Scott Haber, Jessie Barry, Panos Ipeirotis, Pietro Perona, Serge J. Belongie
2015	B	`conf`	Tropel: Crowdsourcing Detectors with Minimal Training. HCOMP Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays
2014	J	`jnl`	Bird Species Categorization Using Pose Normalized Deep Convolutional Nets. CoRR Steve Branson, Grant Van Horn, Serge J. Belongie, Pietro Perona
2014	A	`conf`	Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets. BMVC Steve Branson, Grant Van Horn, Pietro Perona, Serge J. Belongie
2014	A*	`conf`	Similarity Comparisons for Interactive Fine-Grained Categorization. CVPR Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge J. Belongie
2014	J	`jnl`	The Ignorant Led by the Blind: A Hybrid Human-Machine Vision System for Fine-Grained Categorization. Int. J. Comput. Vis. Steve Branson, Grant Van Horn, Catherine Wah, Pietro Perona, Serge J. Belongie