Sara Beery

According to our database, Sara Beery authored at least 31 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Application-Driven Innovation in Machine Learning.

David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White

CoRR, 2024

Align and Distill: Unifying and Improving Domain Adaptive Object Detection.

Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn

CoRR, 2024

2023

Reflections from the Workshop on AI-Assisted Decision Making for Conservation.

Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe

CoRR, 2023

Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression.

Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh, Elias Frantar, Sara Beery, Eldar Kurtic, Dan Alistarh

CoRR, 2023

Teaching Computer Vision for Ecology.

Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason Parham, Benjamin Kellenberger, Sara Beery

CoRR, 2023

MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding.

Jun Chen, Ming Hu, Darren J. Coker, Michael L. Berumen, Blair R. Costelloe, Sara Beery, Anna Rohrbach, Mohamed Elhoseiny

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Extending the WILDS Benchmark for Unsupervised Adaptation.

Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

Proceedings of the Tenth International Conference on Learning Representations, 2022

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting.

Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona

Proceedings of the Computer Vision - ECCV 2022, 2022

The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift.

Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Scaling biodiversity monitoring for the data age.

Sara Beery

XRDS, 2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation.

Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant Van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Y. Berger-Wolf

CoRR, 2021

Domain Adaptation for Rare Classes Augmented with Synthetic Samples.

Tuhin Das, Robert-Jan Bruintjes, Attila Lengyel, Jan van Gemert, Sara Beery

CoRR, 2021

Image-to-Image Translation of Synthetic Samples for Rare Classes.

Edoardo Lanzini, Sara Beery

CoRR, 2021

Can poachers find animals from public camera trap images?

Sara Beery, Elizabeth Bondi

CoRR, 2021

The iWildCam 2021 Competition Dataset.

Sara Beery, Arushi Agarwal, Elijah Cole, Vighnesh Birodkar

CoRR, 2021

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 Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang

Proceedings of the 38th International Conference on Machine Learning, 2021

ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification.

Peter Kulits, Jake Wall, Anka Bedetti, Michelle Henley, Sara Beery

Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Species Distribution Modeling for Machine Learning Practitioners: A Review.

Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner

Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Benchmarking Representation Learning for Natural World Image Collections.

Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

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, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang

CoRR, 2020

The iWildCam 2020 Competition Dataset.

Sara Beery, Elijah Cole, Arvi Gjoka

CoRR, 2020

Synthetic Examples Improve Generalization for Rare Classes.

Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection.

Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Long Term Temporal Context for Per-Camera Object Detection.

Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang

CoRR, 2019

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

CoRR, 2019

The iWildCam 2019 Challenge Dataset.

Sara Beery, Dan Morris, Pietro Perona

CoRR, 2019

Efficient Pipeline for Camera Trap Image Review.

Sara Beery, Dan Morris, Siyu Yang

CoRR, 2019

The iWildCam 2018 Challenge Dataset.

Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona

CoRR, 2019

Synthetic Examples Improve Generalization for Rare Classes.

Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona

CoRR, 2019

2018

Recognition in Terra Incognita.

Sara Beery, Grant Van Horn, Pietro Perona

Proceedings of the Computer Vision - ECCV 2018, 2018

2016

Finding areas of motion in camera trap images.

Agnieszka C. Miguel, Sara Beery, Erica Flores, Loren Klemesrud, Rana Bayrakcismith

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016