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Grant Van Horn
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2020 – today
- 2024
- [c16]Oindrila Saha, Grant Van Horn, Subhransu Maji:
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CVPR 2024: 17542-17552 - [c15]Gustavo Pérez
, Daniel Sheldon, Grant Van Horn, Subhransu Maji
Human-in-the-Loop Visual Re-ID for Population Size Estimation. ECCV (38) 2024: 185-202 - [i15]Oindrila Saha, Grant Van Horn, Subhransu Maji:
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CoRR abs/2401.02460 (2024) - [i14]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 abs/2403.12029 (2024) - 2023
- [c14]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: 6320-6342 - [c13]Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha:
Active Learning-Based Species Range Estimation. NeurIPS 2023 - [i13]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 abs/2306.02564 (2023) - [i12]Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha:
Active Learning-Based Species Range Estimation. CoRR abs/2311.02061 (2023) - [i11]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 abs/2312.05287 (2023) - 2022
- [c12]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: 271-289 - [c11]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: 290-311 - [c10]Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni
On Label Granularity and Object Localization. ECCV (10) 2022: 604-620 - [i10]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 abs/2207.09295 (2022) - [i9]Elijah Cole, Kimberly Wilber
On Label Granularity and Object Localization. CoRR abs/2207.10225 (2022) - [i8]Grant Van Horn, Rui Qian, Kimberly Wilber
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. CoRR abs/2207.10664 (2022) - 2021
- [c9]Grant Van Horn, Elijah Cole, Sara Beery
Benchmarking Representation Learning for Natural World Image Collections. CVPR 2021: 12884-12893 - [i7]Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha:
Benchmarking Representation Learning for Natural World Image Collections. CoRR abs/2103.16483 (2021) - [i6]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 abs/2110.12951 (2021)
2010 – 2019
- 2019
- [b1]Grant Van Horn:
Towards a Visipedia: Combining Computer Vision and Communities of Experts. California Institute of Technology, USA, 2019 - [i5]Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona:
The iWildCam 2018 Challenge Dataset. CoRR abs/1904.05986 (2019) - 2018
- [c8]Grant Van Horn, Steve Branson, Scott Loarie, Serge J. Belongie
Lean Multiclass Crowdsourcing. CVPR 2018: 2714-2723 - [c7]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: 8769-8778 - [c6]Sara Beery
Recognition in Terra Incognita. ECCV (16) 2018: 472-489 - [i4]Sara Beery, Grant Van Horn, Pietro Perona:
Recognition in Terra Incognita. CoRR abs/1807.04975 (2018) - 2017
- [c5]Steve Branson, Grant Van Horn, Pietro Perona:
Lean Crowdsourcing: Combining Humans and Machines in an Online System. CVPR 2017: 6109-6118 - [i3]Grant Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie:
The iNaturalist Challenge 2017 Dataset. CoRR abs/1707.06642 (2017) - [i2]Grant Van Horn, Pietro Perona:
The Devil is in the Tails: Fine-grained Classification in the Wild. CoRR abs/1709.01450 (2017) - 2015
- [c4]Grant Van Horn, Steve Branson, Ryan Farrell, Scott Haber, Jessie Barry, Panos Ipeirotis
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection. CVPR 2015: 595-604 - [c3]Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays:
Tropel: Crowdsourcing Detectors with Minimal Training. HCOMP 2015: 150-159 - 2014
- [j1]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): 3-29 (2014) - [c2]Steve Branson, Grant Van Horn, Pietro Perona, Serge J. Belongie:
Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets. BMVC 2014 - [c1]Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge J. Belongie
Similarity Comparisons for Interactive Fine-Grained Categorization. CVPR 2014: 859-866 - [i1]Steve Branson, Grant Van Horn, Serge J. Belongie, Pietro Perona:
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets. CoRR abs/1406.2952 (2014)
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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