Grant Van Horn

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Object Localization

Fine Grained Categorization

Image Collections

Top Venues

Publications

Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn
Align and Distill: Unifying and Improving Domain Adaptive Object Detection. CoRR (2024)
Oindrila Saha, Grant Van Horn, Subhransu Maji
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CoRR (2024)
Gustavo Pérez, Daniel Sheldon, Grant Van Horn, Subhransu Maji
Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling. CoRR (2023)
Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha
Active Learning-Based Species Range Estimation. NeurIPS (2023)
Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
Spatial Implicit Neural Representations for Global-Scale Species Mapping. CoRR (2023)
Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha
Active Learning-Based Species Range Estimation. CoRR (2023)
Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
Spatial Implicit Neural Representations for Global-Scale Species Mapping. ICML (2023)
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. ECCV (8) (2022)
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. CoRR (2022)
Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. CoRR (2022)
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
On Label Granularity and Object Localization. CoRR (2022)
Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. ECCV (8) (2022)
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
On Label Granularity and Object Localization. ECCV (10) (2022)
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
Benchmarking Representation Learning for Natural World Image Collections. CVPR (2021)
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
Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR (2021)
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
Benchmarking Representation Learning for Natural World Image Collections. CoRR (2021)
Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona
The iWildCam 2018 Challenge Dataset. CoRR (2019)
Sara Beery, Grant Van Horn, Pietro Perona
Recognition in Terra Incognita. ECCV (16) (2018)
Sara Beery, Grant Van Horn, Pietro Perona
Recognition in Terra Incognita. CoRR (2018)
Grant Van Horn, Steve Branson, Scott Loarie, Serge J. Belongie, Pietro Perona
Lean Multiclass Crowdsourcing. CVPR (2018)
Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
The INaturalist Species Classification and Detection Dataset. CVPR (2018)
Grant Van Horn, Pietro Perona
The Devil is in the Tails: Fine-grained Classification in the Wild. CoRR (2017)
Steve Branson, Grant Van Horn, Pietro Perona
Lean Crowdsourcing: Combining Humans and Machines in an Online System. CVPR (2017)
Grant Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
The iNaturalist Challenge 2017 Dataset. CoRR (2017)
Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays
Tropel: Crowdsourcing Detectors with Minimal Training. HCOMP (2015)
Grant Van Horn, Steve Branson, Ryan Farrell, Scott Haber, Jessie Barry, Panos Ipeirotis, Pietro Perona, Serge J. Belongie
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection. CVPR (2015)
Steve Branson, Grant Van Horn, Pietro Perona, Serge J. Belongie
Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets. BMVC (2014)
Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge J. Belongie
Similarity Comparisons for Interactive Fine-Grained Categorization. CVPR (2014)
Steve Branson, Grant Van Horn, Catherine Wah, Pietro Perona, Serge J. Belongie
The Ignorant Led by the Blind: A Hybrid Human-Machine Vision System for Fine-Grained Categorization. Int. J. Comput. Vis. 108 (1-2) (2014)
Steve Branson, Grant Van Horn, Serge J. Belongie, Pietro Perona
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets. CoRR (2014)