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
4532014
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
2272015
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
1842018
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
1092014
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
1052018
Recognition in Terra Incognita
S Beery, G Van Horn, P Perona
European Conference on Computer Vision (ECCV), 2018
1032018
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
952014
The devil is in the tails: Fine-grained classification in the wild
G Van Horn, P Perona
arXiv preprint arXiv:1709.01450, 2017
492017
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
322017
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
282017
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 (1), 2015
202015
The iwildcam 2018 challenge dataset
S Beery, G Van Horn, O Mac Aodha, P Perona
arXiv preprint arXiv:1904.05986, 2019
152019
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
142018
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
52019
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), 5426, 2017
32017
Benchmarking Representation Learning for Natural World Image Collections
G Van Horn, E Cole, S Beery, K Wilber, S Belongie, O Mac Aodha
arXiv preprint arXiv:2103.16483, 2021
2021
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
2019
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
2019
Towards a Visipedia: Combining Computer Vision and Communities of Experts
GR Van Horn
California Institute of Technology, 2019
2019
Towards Scalable and Accurate Fine-Grained Categorization
GR Van Horn
UC San Diego, 2014
2014
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Articles 1–20