Sara Beery
Sara Beery
PhD Candidate at Caltech, collaborations with Google Research, Microsoft AI for Earth
Verified email at - Homepage
Cited by
Cited by
Recognition in terra incognita
S Beery, G Van Horn, P Perona
Proceedings of the European conference on computer vision (ECCV), 456-473, 2018
Wilds: A benchmark of in-the-wild distribution shifts
PW Koh, S Sagawa, SM Xie, M Zhang, A Balsubramani, W Hu, ...
International Conference on Machine Learning, 5637-5664, 2021
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
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
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
Efficient pipeline for camera trap image review
S Beery, D Morris, S Yang
arXiv preprint arXiv:1907.06772, 2019
The iWildcam 2019 Challenge Dataset
S Beery, D Morris, P Perona
arXiv preprint arXiv:1907.07617, 4, 2019
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
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
The iWildCam 2021 Competition Dataset
S Beery, A Agarwal, E Cole, V Birodkar
arXiv preprint arXiv:2105.03494, 2021
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
Wildlife Insights: How Camera Trap Data Can Foster Global Biodiversity Conservation
F Iannarilli, R Oliver, T Birch, S Beery, E Fegraus, N Flores, R Kays, ...
AGU Fall Meeting 2021, 2021
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 (COMPASS), 329-348, 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 (COMPASS), 88-98, 2021
Scaling biodiversity monitoring for the data age
S Beery
XRDS: Crossroads, The ACM Magazine for Students 27 (4), 14-18, 2021
Image-to-Image Translation of Synthetic Samples for Rare Classes
E Lanzini, S Beery
arXiv preprint arXiv:2106.12212, 2021
Can poachers find animals from public camera trap images?
S Beery, E Bondi
arXiv preprint arXiv:2106.11236, 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
An investigation into bio-inspired sonar search performance
JR Edwards, S Beery, KE Railey
The Journal of the Acoustical Society of America 140 (4), 2967-2967, 2016
Automated Salmonid Counting in Sonar Data
P Kulits, A Pan, G Van Horn, S Beery, E Young, P Perona
The system can't perform the operation now. Try again later.
Articles 1–20