Grant Van Horn

According to our database, Grant Van Horn authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 2024

Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions.

Oindrila Saha, Grant Van Horn, Subhransu Maji

CoRR, 2024

2023

Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling.

Gustavo Pérez, Daniel Sheldon, Grant Van Horn, Subhransu Maji

CoRR, 2023

Active Learning-Based Species Range Estimation.

Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset.

Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie

Proceedings of the Computer Vision - ECCV 2022, 2022

On Label Granularity and Object Localization.

Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Seeing biodiversity: 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 Y. Berger-Wolf

CoRR, 2021

Benchmarking Representation Learning for Natural World Image Collections.

Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

The iWildCam 2018 Challenge Dataset.

Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona

CoRR, 2019

2018

Recognition in Terra Incognita.

Sara Beery, Grant Van Horn, Pietro Perona

Proceedings of the Computer Vision - ECCV 2018, 2018

Lean Multiclass Crowdsourcing.

Grant Van Horn, Steve Branson, Scott Loarie, Serge J. Belongie, Pietro Perona

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The INaturalist Species Classification and Detection Dataset.

Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

The Devil is in the Tails: Fine-grained Classification in the Wild.

Grant Van Horn, Pietro Perona

CoRR, 2017

The iNaturalist Challenge 2017 Dataset.

Grant Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie

CoRR, 2017

Lean Crowdsourcing: Combining Humans and Machines in an Online System.

Steve Branson, Grant Van Horn, Pietro Perona

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Tropel: Crowdsourcing Detectors with Minimal Training.

Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays

Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 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 J. Belongie

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

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 J. Belongie

Int. J. Comput. Vis., 2014

Bird Species Categorization Using Pose Normalized Deep Convolutional Nets.

Steve Branson, Grant Van Horn, Serge J. Belongie, Pietro Perona

CoRR, 2014

Similarity Comparisons for Interactive Fine-Grained Categorization.

Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge J. Belongie

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets.

Steve Branson, Grant Van Horn, Pietro Perona, Serge J. Belongie

Proceedings of the British Machine Vision Conference, 2014