Sara Beery

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Coautors

Grant Van HornUMass, AmherstCorreu electrònic verificat a umass.edu
Pietro PeronaCalifornia Institute of TechnologyCorreu electrònic verificat a caltech.edu
Chelsea FinnStanford University, Physical IntelligenceCorreu electrònic verificat a cs.stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityCorreu electrònic verificat a cs.stanford.edu
Sergey LevineUC Berkeley, Physical IntelligenceCorreu electrònic verificat a eecs.berkeley.edu
Michihiro YasunagaStanford University; MetaCorreu electrònic verificat a stanford.edu
Sang Michael XieMeta GenAICorreu electrònic verificat a cs.stanford.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityCorreu electrònic verificat a cs.stanford.edu
Dan MorrisResearch Scientist, Google AI for Nature and SocietyCorreu electrònic verificat a cs.stanford.edu
Weihua HuStanfordCorreu electrònic verificat a stanford.edu
Ian StavnessProfessor, Computer Science, University of SaskatchewanCorreu electrònic verificat a cs.usask.ca
Etienne DavidResearch Engineer, Institut National de Recherche Agronomique; ArvalisCorreu electrònic verificat a inra.fr
Wei GuoUniversity of Massachusetts LowellCorreu electrònic verificat a uml.edu
Tony LeeStanford UniversityCorreu electrònic verificat a stanford.edu
Jonathan HuangScaled FoundationsCorreu electrònic verificat a scaledfoundations.ai
Pang Wei KohUniversity of WashingtonCorreu electrònic verificat a cs.washington.edu
Shiori SagawaPhD Student, Stanford UniversityCorreu electrònic verificat a stanford.edu
Irena GaoStanford UniversityCorreu electrònic verificat a cs.stanford.edu
Emma PiersonUniversity of California, BerkeleyCorreu electrònic verificat a berkeley.edu
Richard Lanas PhillipsPhD Student, Cornell UniversityCorreu electrònic verificat a cornell.edu

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Sara Beery

Assistant Professor at MIT CSAIL

Correu electrònic verificat a mit.edu - Pàgina d'inici

Computer Vision Conservation Technology Computational Sustainability Camera Trapping


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	1540	2021
Recognition in terra incognita S Beery, G Van Horn, P Perona Proceedings of the European conference on computer vision (ECCV), 456-473, 2018	1024	2018
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), 1-15, 2022	501	2022
Efficient pipeline for camera trap image review S Beery, D Morris, S Yang arXiv preprint arXiv:1907.06772, 2019	229*	2019
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	211	2021
The iwildcam 2021 competition dataset S Beery, A Agarwal, E Cole, V Birodkar arXiv preprint arXiv:2105.03494, 2021	202	2021
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	176	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	152	2020
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	133	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	121	2020
Species distribution modeling for machine learning practitioners: A review S Beery, E Cole, J Parker, P Perona, K Winner Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable …, 2021	96	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	43	2022
The iWildcam 2019 Challenge Dataset S Beery, D Morris, P Perona arXiv preprint arXiv:1907.07617, 4, 2019	42	2019
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, ... European Conference on Computer Vision, 290-311, 2022	32	2022
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	28	2016
ElephantBook: A semi-automated human-in-the-loop system for elephant re-identification P Kulits, J Wall, A Bedetti, M Henley, S Beery Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable …, 2021	25	2021
Mammalnet: A large-scale video benchmark for mammal recognition and behavior understanding J Chen, M Hu, DJ Coker, ML Berumen, B Costelloe, S Beery, A Rohrbach, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023	19	2023
Scaling biodiversity monitoring for the data age S Beery XRDS: Crossroads, The ACM Magazine for Students 27 (4), 14-18, 2021	12	2021
Domain adaptation for rare classes augmented with synthetic samples T Das, RJ Bruintjes, A Lengyel, J van Gemert, S Beery arXiv preprint arXiv:2110.12216, 2021	9	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	8	2019

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