Grant Van Horn
Grant Van Horn
Bestätigte E-Mail-Adresse bei caltech.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Bird species categorization using pose normalized deep convolutional nets
S Branson, G Van Horn, S Belongie, P Perona
BMVC 2014, 2014
4282014
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
2562015
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
2342018
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
1712018
Recognition in Terra Incognita
S Beery, G Van Horn, P Perona
European Conference on Computer Vision (ECCV), 2018
1682018
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
1142014
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
982014
The devil is in the tails: Fine-grained classification in the wild
G Van Horn, P Perona
arXiv preprint arXiv:1709.01450, 2017
612017
Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets.
S Branson, G Van Horn, P Perona, SJ Belongie
BMVC 1 (6), 7, 2014
522014
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
322017
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
272017
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
232015
The iwildcam 2018 challenge dataset
S Beery, G Van Horn, O Mac Aodha, P Perona
arXiv preprint arXiv:1904.05986, 2019
202019
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
162018
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
92021
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
32017
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
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