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Grant Van Horn
Grant Van Horn
Verified email at cornell.edu - Homepage
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Year
The iNaturalist Species Classification and Detection Dataset
G Van Horn, O Mac Aodha, Y Song, Y Cui, C Sun, A Shepard, H Adam, ...
Computer Vision and Pattern Recognition (CVPR), 8769-8778, 2018
6432018
Bird species categorization using pose normalized deep convolutional nets
S Branson, G Van Horn, S Belongie, P Perona
BMVC 2014, 2014
5942014
Recognition in Terra Incognita
S Beery, G Van Horn, P Perona
European Conference on Computer Vision (ECCV), 2018
5172018
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
G Van Horn, S Branson, R Farrell, S Haber, J Barry, P Ipeirotis, P Perona, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
4172015
Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, and Serge Belongie. The inaturalist species classification and detection dataset
G Van Horn
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3922018
The devil is in the tails: Fine-grained classification in the wild
G Van Horn, P Perona
arXiv preprint arXiv:1709.01450, 2017
1362017
Similarity comparisons for interactive fine-grained categorization
C Wah, G Van Horn, S Branson, S Maji, P Perona, S Belongie
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
1182014
Perspectives in machine learning for wildlife conservation
D Tuia, B Kellenberger, S Beery, BR Costelloe, S Zuffi, B Risse, A Mathis, ...
Nature communications 13 (1), 792, 2022
1062022
The ignorant led by the blind: A hybrid human–machine vision system for fine-grained categorization
S Branson, G Van Horn, C Wah, P Perona, S Belongie
International Journal of Computer Vision 108, 3-29, 2014
1022014
Benchmarking representation learning for natural world image collections
G Van Horn, E Cole, S Beery, K Wilber, S Belongie, O Mac Aodha
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
702021
Lean crowdsourcing: Combining humans and machines in an online system
S Branson, G Van Horn, P Perona
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
442017
The inaturalist challenge 2017 dataset
G Van Horn, O Mac Aodha, Y Song, A Shepard, H Adam, P Perona, ...
arXiv preprint arXiv:1707.06642 1 (2), 4, 2017
402017
The iwildcam 2018 challenge dataset
S Beery, G Van Horn, O Mac Aodha, P Perona
arXiv preprint arXiv:1904.05986, 2019
302019
Tropel: Crowdsourcing detectors with minimal training
G Patterson, G Van Horn, S Belongie, P Perona, J Hays
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 …, 2015
292015
Lean multiclass crowdsourcing
G Van Horn, S Branson, S Loarie, S Belongie, P Perona
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
222018
Training machines to identify species using GBIF-mediated datasets
T Robertson, S Belongie, A Hartwig, C Kaeser-Chen, C Zhang, KC Tan, ...
Biodiversity Information Science and Standards, 2019
62019
The iNaturalist Species Classification and Detection Dataset-Supplementary Material
G Van Horn, O Mac Aodha, Y Song, Y Cui, C Sun, A Shepard, H Adam, ...
Reptilia 32 (400), 1-3, 2017
52017
Systems and methods for online annotation of source data using skill estimation
P Perona, G Van Horn, SJ Branson
US Patent 11,449,788, 2022
32022
Automated salmonid counting in sonar data
P Kulits, A Pan, SM Beery, E Young, P Perona, G Van Horn, TU Caltech
NeurIPS 2020 Workshop on tackling climate change with machine learning, 2020
32020
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
J Kay, P Kulits, S Stathatos, S Deng, E Young, S Beery, G Van Horn, ...
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
22022
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