| Bird species categorization using pose normalized deep convolutional nets S Branson, G Van Horn, S Belongie, P Perona BMVC 2014, 2014 | 453 | 2014 |
| 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 | 227 | 2015 |
| 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 | 184 | 2018 |
| 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 | 109 | 2014 |
| 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 | 105 | 2018 |
| Recognition in Terra Incognita S Beery, G Van Horn, P Perona European Conference on Computer Vision (ECCV), 2018 | 103 | 2018 |
| 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 | 95 | 2014 |
| The devil is in the tails: Fine-grained classification in the wild G Van Horn, P Perona arXiv preprint arXiv:1709.01450, 2017 | 49 | 2017 |
| 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 | 32 | 2017 |
| 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 | 28 | 2017 |
| 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 | 20 | 2015 |
| The iwildcam 2018 challenge dataset S Beery, G Van Horn, O Mac Aodha, P Perona arXiv preprint arXiv:1904.05986, 2019 | 15 | 2019 |
| 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 | 14 | 2018 |
| 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 | 5 | 2019 |
| 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 | 3 | 2017 |
| 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 |
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
