“Scaling Biodiversity Monitoring for the Data Age.”
Sara Beery
ACM XRDS Special Issue on Sustainability.
“Species Distribution Modeling for Machine Learning Practitioners: A Review”
Sara Beery, Elijah Cole, Kevin Winner, Joseph Parker, Pietro Perona
ACM COMPASS 2021, Virtual
“ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification.”
Peter Kulits, Jake Wall, Anka Bedetti, Michelle Henley, Sara Beery
ACM COMPASS 2021, Virtual
“Wilds: A benchmark of in-the-wild distribution shifts”
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton A. Earnshaw, Imran S. Haque, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
ICML 2021, Virtual
[arxiv]
@article{koh2020wilds,
title={Wilds: A benchmark of in-the-wild distribution shifts},
author={Koh, Pang Wei and Sagawa, Shiori and Marklund, Henrik and Xie, Sang Michael and Zhang, Marvin and Balsubramani, Akshay and Hu, Weihua and Yasunaga, Michihiro and Phillips, Richard Lanas and Gao, Irena and others},
journal={arXiv preprint arXiv:2012.07421},
year={2020}
}
“Benchmarking Representation Learning for Natural World Image Collections”
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge Belongie, Oisin Mac Aodha
CVPR 2021, Virtual
[arxiv]
@article{van2021benchmarking,
title={Benchmarking Representation Learning for Natural World Image Collections},
author={Van Horn, Grant and Cole, Elijah and Beery, Sara and Wilber, Kimberly and Belongie, Serge and Mac Aodha, Oisin},
journal={arXiv preprint arXiv:2103.16483},
year={2021}
}
“A Deep Active Learning System for Species Identification and Counting in Camera Trap Images”
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution (2021)
[arxiv]
@article{norouzzadeh2021deep,
title={A deep active learning system for species identification and counting in camera trap images},
author={Norouzzadeh, Mohammad Sadegh and Morris, Dan and Beery, Sara and Joshi, Neel and Jojic, Nebojsa and Clune, Jeff},
journal={Methods in Ecology and Evolution},
volume={12},
number={1},
pages={150--161},
year={2021},
publisher={Wiley Online Library}
}
“Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection”
Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang
CVPR 2020, Virtual
[pdf]
[arxiv]
@InProceedings{Beery_2020_CVPR,
author = {Beery, Sara and Wu, Guanhang and Rathod, Vivek and Votel, Ronny and Huang, Jonathan},
title = {Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
“Synthetic Examples Improve Generalization for Rare Classes”
Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona
WACV 2020, Aspen, Colorado
[pdf]
[arxiv]
@inproceedings{beery2020synthetic,
title={Synthetic examples improve generalization for rare classes},
author={Beery, Sara and Liu, Yang and Morris, Dan and Piavis, Jim and Kapoor, Ashish and Joshi, Neel and Meister, Markus and Perona, Pietro},
booktitle={The IEEE Winter Conference on Applications of Computer Vision},
pages={863--873},
year={2020}
}
“Recognition in Terra Incognita”
Sara Beery, Grant Van Horn, Pietro Perona
ECCV 2018, Munich, Germany
[pdf]
@inproceedings{beery2018rec,
title={Recognition in Terra Incognita},
author={Beery, Sara and Van Horn, Grant and Perona, Pietro},
booktitle={Proceedings of the European Conference on Computer Vision},
year={2018},
address={Munich, Germany}
}
“An investigation into bio-inspired sonar search performance”
Joseph R Edwards, Sara Beery, Kristen E Railey
The Journal of the Acoustical Society of America, 2016
[link]
@article{edwards2016investigation,
title={An investigation into bio-inspired sonar search performance},
author={Edwards, Joseph R and Beery, Sara and Railey, Kristen E},
journal={The Journal of the Acoustical Society of America},
volume={140},
number={4},
pages={2967--2967},
year={2016},
publisher={ASA}
}
“Finding areas of motion in camera trap images”
Agnieszka Miguel, Sara Beery, Erica Flores, Loren Klemesrud
ICIP 2016, Phoenix, Arizona
[pdf]
@inproceedings{miguel2016finding,
title={Finding areas of motion in camera trap images},
author={Miguel, Agnieszka and Beery, Sara and Flores, Erica and Klemesrud, Loren and Bayrakcismith, Rana},
booktitle={2016 IEEE International Conference on Image Processing (ICIP)},
pages={1334--1338},
year={2016},
organization={IEEE}
}
Workshop Papers and Talks
“The iWildCam 2021 Competition Dataset”
Sara Beery, Elizabeth Bondi, Arushi Agarwal, Elijah Cole, Vighnesh Birodkar
The Eighth Fine-Grained Visual Categorization Workshop at CVPR2021, Virtual
“Can poachers find animals from public camera trap images?”
Sara Beery, Elizabeth Bondi
CV4Animals at CVPR2021, Virtual
Poster
“Image-to-Image Translation for Synthetic Samples of Rare Classes”
Edoardo Lanzini, Sara Beery
CV4Animals at CVPR2021, Virtual
Poster
“Automated Salmonid Counting in Sonar Data”
Peter Kulits, Angelina Pan, Grant Van Horn, Sara Beery, Erik Young, Pietro Perona
ClimateChangeAI at NeurIPS2020, Virtual
Poster
“WILDS: A Survey and Benchmark of in-the-Wild Distribution Shifts”
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton A. Earnshaw, Imran S. Haque, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
Workshop on ML Retrospectives, Surveys \& Meta-Analyses at NeurIPS2020, Virtual
Poster
“The iWildCam 2020 Competition Dataset”
Sara Beery, Elijah Cole, Arvi Gjoka
The Seventh Fine-Grained Visual Categorization Workshop at CVPR2020, Virtual
“Animal Re-ID from Camera Traps: Can We Deal with Low-Quality Data?”
Sara Beery
Deep Learning Methods and Applications for Animal Re-Identification at WACV2020, Aspen, Colorado
Invited Talk
“AI for Camera Traps - Challenges, Best Practices, Benchmarks, and De-Siloing Data”
Sara Beery
ICRAF Invited Seminar Nairobi, Kenya
Invited Talk
“AI for Camera Traps - Challenges, Best Practices, Benchmarks, and De-Siloing Data”
Sara Beery
WildLabs Virtual Meetup on Camera Trapping
Invited Talk
[recording]
“Long-term context for species detection”
Sara Beery
Camera Trap Technology Symposium Mountain View, California
Invited Talk
[recording]
“Camera traps: generalization, sample efficiency, best practices, benchmarks, and de-siloing data”
Sara Beery
Computer Vision for Wildlife Conservation (CVWC) at ICCV 2019, Seoul, Korea
Invited Talk
[slides]
“Training Machines to Identify Species using GBIF-mediated Datasets”
Tim Robertson, Serge Belongie, Adam Hartwig, Christine Kaeser-Chen, Chenyang Zhang, Kiat Chuan Tan, Yulong Liu, Denis Brulé, Cédric Deltheil, Scott Loarie, Grant Van Horn, Oisin Mac Aodha, Sara Beery, Pietro Perona, Kyle Copas, John Waller
Symposium on advancing biodiversity research through artificial intelligence (SS47) at BiodiversityNext 2019, Amsterdam, The Netherlands
[link]
@article{robertson2019training,
title={Training Machines to Identify Species using GBIF-mediated Datasets},
author={Robertson, Tim and Belongie, Serge and Hartwig, Adam and Kaeser-Chen, Christine and Zhang, Chenyang and Tan, Kiat Chuan and Liu, Yulong and Brul{\'e}, Denis and Deltheil, C{\'e}dric and Loarie, Scott and others},
journal={Biodiversity Information Science and Standards},
year={2019},
publisher={Pensoft Publishers}
}
“Efficient Pipeline for Automating Species ID in New Camera Trap Projects”
Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
Symposium on advancing biodiversity research through artificial intelligence (SS47) at BiodiversityNext 2019, Amsterdam, The Netherlands
Oral
[link]
@article{beery2019efficient,
title={Efficient Pipeline for Automating Species ID in new Camera Trap Projects},
author={Beery, Sara and Morris, Dan and Yang, Siyu and Simon, Marcel and Norouzzadeh, Arash and Joshi, Neel},
journal={Biodiversity Information Science and Standards},
volume={3},
pages={e37222},
year={2019},
publisher={Pensoft Publishers}
}
“Efficient Pipeline for Camera Trap Image Review”
Sara Beery, Dan Morris, Siyu Yang
Data Mining and AI for Conservation at Knowledge Discovery and Data (KDD) 2019, Anchorage, Alaska
Oral
Selected to be a featured poster at the main KDD conference Earth Day celebration
[pdf]
@article{beery2019efficient,
title={Efficient Pipeline for Camera Trap Image Review},
author={Beery, Sara and Morris, Dan and Yang, Siyu},
journal={arXiv preprint arXiv:1907.06772},
year={2019}
}
“The iWildCam 2019 Challenge Dataset”
Sara Beery, Dan Morris, Pietro Perona
The Sixth Fine-Grained Visual Categorization Workshop at CVPR 2019, Long Beach, California
Oral
[pdf]
@article{beery2019iwildcam,
title={The iWildCam 2019 Challenge Dataset},
author={Beery, Sara and Morris, Dan and Perona, Pietro},
journal={arXiv preprint arXiv:1907.07617},
year={2019}
}
“Recognition for Camera Traps in Unknown Territory”
Sara Beery, Grant van Horn, Pietro Perona
AI for Wildlife Conservation Workshop at the Federated Artificial Intelligence Meeting (FAIM) 2018, Stockholm, Sweden
Oral
“The iWildcam 2018 Challenge Dataset”
Sara Beery, Oisin MacAodha, Grant van Horn, Pietro Perona
The Fifth Fine-Grained Visual Categorization Workshop at CVPR 2018, Salt Lake City, Utah
Poster
[pdf]
@article{beery2018iwildcam,
title={The iWildCam 2018 Challenge Dataset},
author={Beery, Sara and van Horn, Grant and MacAodha, Oisin and Perona, Pietro},
journal={arXiv preprint arXiv:1904.05986},
year={2018}
}