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
3572014
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
1842015
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
1202018
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
912014
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 (1-2), 3-29, 2014
882014
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
692018
Recognition in Terra Incognita
S Beery, G Van Horn, P Perona
European Conference on Computer Vision (ECCV), 2018
632018
The devil is in the tails: Fine-grained classification in the wild
G Van Horn, P Perona
arXiv preprint arXiv:1709.01450, 2017
552017
Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets.
S Branson, G Van Horn, P Perona, SJ Belongie
BMVC 1 (6), 7, 2014
462014
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
232017
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
202017
Tropel: Crowdsourcing detectors with minimal training
G Patterson, G Van Horn, S Belongie, P Perona, J Hays
Third AAAI Conference on Human Computation and Crowdsourcing, 2015
202015
The iwildcam 2018 challenge dataset
S Beery, G Van Horn, O Mac Aodha, P Perona
arXiv preprint arXiv:1904.05986, 2019
132019
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
132018
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
42019
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, 0
3
Training machines to improve species identification using GBIF-mediated datasets
K Copas, T Robertson, S Belongie, C Kaeser-Chen, A Hartwig, C Zhang, ...
AGUFM 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