| Wilds: A benchmark of in-the-wild distribution shifts PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ... International Conference on Machine Learning, 5637-5664, 2021 | 523 | 2021 |
| Recognition in terra incognita S Beery, G Van Horn, P Perona Proceedings of the European conference on computer vision (ECCV), 456-473, 2018 | 460 | 2018 |
| Context r-cnn: Long term temporal context for per-camera object detection S Beery, G Wu, V Rathod, R Votel, J Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 103 | 2020 |
| 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), 792, 2022 | 85 | 2022 |
| A deep active learning system for species identification and counting in camera trap images MS Norouzzadeh, D Morris, S Beery, N Joshi, N Jojic, J Clune Methods in ecology and evolution 12 (1), 150-161, 2021 | 84 | 2021 |
| Efficient pipeline for camera trap image review S Beery, D Morris, S Yang arXiv preprint arXiv:1907.06772, 2019 | 72* | 2019 |
| 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 | 63 | 2021 |
| Synthetic examples improve generalization for rare classes S Beery, Y Liu, D Morris, J Piavis, A Kapoor, N Joshi, M Meister, P Perona Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 63 | 2020 |
| The iwildcam 2021 competition dataset S Beery, A Agarwal, E Cole, V Birodkar arXiv preprint arXiv:2105.03494, 2021 | 60 | 2021 |
| The iWildcam 2019 Challenge Dataset S Beery, D Morris, P Perona arXiv preprint arXiv:1907.07617, 4, 2019 | 29 | 2019 |
| Extending the wilds benchmark for unsupervised adaptation S Sagawa, PW Koh, T Lee, I Gao, SM Xie, K Shen, A Kumar, W Hu, ... arXiv preprint arXiv:2112.05090, 2021 | 27 | 2021 |
| Finding areas of motion in camera trap images A Miguel, S Beery, E Flores, L Klemesrud, R Bayrakcismith 2016 IEEE international conference on image processing (ICIP), 1334-1338, 2016 | 22 | 2016 |
| Species distribution modeling for machine learning practitioners: A review S Beery, E Cole, J Parker, P Perona, K Winner ACM SIGCAS conference on computing and sustainable societies, 329-348, 2021 | 10 | 2021 |
| ElephantBook: A semi-automated human-in-the-loop system for elephant re-identification P Kulits, J Wall, A Bedetti, M Henley, S Beery ACM SIGCAS Conference on Computing and Sustainable Societies, 88-98, 2021 | 9 | 2021 |
| The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift S Beery, G Wu, T Edwards, F Pavetic, B Majewski, S Mukherjee, S Chan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| 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 | 6 | 2019 |
| Scaling biodiversity monitoring for the data age S Beery XRDS: Crossroads, The ACM Magazine for Students 27 (4), 14-18, 2021 | 3 | 2021 |
| The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting J Kay, P Kulits, S Stathatos, S Deng, E Young, S Beery, G Van Horn, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 2 | 2022 |
| 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 | 2 | 2020 |
| Orientation Invariant Autonomous Recognition of Individual Snow Leopards. 9 S Beery, E Flores, L Klemesrud, N Wichers | 2 | 2016 |
Grant Van HornCornell UniversityVerified email at cornell.edu
