Follow
Grant Van Horn
Grant Van Horn
Verified email at caltech.edu - Homepage
Title
Cited by
Cited by
Year
Bird species categorization using pose normalized deep convolutional nets
S Branson, G Van Horn, S Belongie, P Perona
BMVC 2014, 2014
5482014
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
4592018
Recognition in Terra Incognita
S Beery, G Van Horn, P Perona
European Conference on Computer Vision (ECCV), 2018
3482018
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
3382015
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
2822018
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
1172014
The devil is in the tails: Fine-grained classification in the wild
G Van Horn, P Perona
arXiv preprint arXiv:1709.01450, 2017
1092017
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 (1), 3-29, 2014
1012014
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
452021
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
402017
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
372017
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), 1-15, 2022
312022
The iwildcam 2018 challenge dataset
S Beery, G Van Horn, O Mac Aodha, P Perona
arXiv preprint arXiv:1904.05986, 2019
282019
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
272015
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
202018
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
72019
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 App. 15/925,417, 2019
22019
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
12020
Training machines to improve species identification using GBIF-mediated datasets
K Copas, T Robertson, S Belongie, C Kaeser-Chen, A Hartwig, C Zhang, ...
AGU Fall Meeting Abstracts 2019, IN53C-0758, 2019
12019
The system can't perform the operation now. Try again later.
Articles 1–20