Sara Beery

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 39

Top Topics

Object Detection

Temporal Context

Top Venues

Publications

Vaibhav Balloli, Sara Beery, Elizabeth Bondi-Kelly
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval. CoRR (2024)
Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn
Align and Distill: Unifying and Improving Domain Adaptive Object Detection. CoRR (2024)
Jae Joong Lee, Bosheng Li, Sara Beery, Jonathan Huang, Songlin Fei, Raymond A. Yeh, Bedrich Benes
Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors. CoRR (2024)
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
Application-Driven Innovation in Machine Learning. CoRR (2024)
Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang
Learning Hierarchical Semantic Classification by Grounding on Consistent Image Segmentations. CoRR (2024)
Jun Chen, Ming Hu, Darren J. Coker, Michael L. Berumen, Blair R. Costelloe, Sara Beery, Anna Rohrbach, Mohamed Elhoseiny
MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding. CVPR (2023)
Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh, Elias Frantar, Sara Beery, Eldar Kurtic, Dan Alistarh
Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression. CoRR (2023)
Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason Parham, Benjamin Kellenberger, Sara Beery
Teaching Computer Vision for Ecology. CoRR (2023)
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
Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR (2023)
Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang
The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift. CVPR (2022)
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. ECCV (8) (2022)
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. CoRR (2022)
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
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR (2022)
Sara Beery
Scaling biodiversity monitoring for the data age. XRDS 27 (4) (2021)
Edoardo Lanzini, Sara Beery
Image-to-Image Translation of Synthetic Samples for Rare Classes. CoRR (2021)
Tuhin Das, Robert-Jan Bruintjes, Attila Lengyel, Jan van Gemert, Sara Beery
Domain Adaptation for Rare Classes Augmented with Synthetic Samples. CoRR (2021)
Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner
Species Distribution Modeling for Machine Learning Practitioners: A Review. COMPASS (2021)
Sara Beery, Elizabeth Bondi
Can poachers find animals from public camera trap images? CoRR (2021)
Sara Beery, Arushi Agarwal, Elijah Cole, Vighnesh Birodkar
The iWildCam 2021 Competition Dataset. CoRR (2021)
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
Benchmarking Representation Learning for Natural World Image Collections. CVPR (2021)
Peter Kulits, Jake Wall, Anka Bedetti, Michelle Henley, Sara Beery
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification. COMPASS (2021)
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
Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR (2021)
Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner
Species Distribution Modeling for Machine Learning Practitioners: A Review. CoRR (2021)
Peter Kulits, Jake Wall, Anka Bedetti, Michelle Henley, Sara Beery
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification. CoRR (2021)
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
Benchmarking Representation Learning for Natural World Image Collections. CoRR (2021)
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
Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR (2021)
Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona
Synthetic Examples Improve Generalization for Rare Classes. WACV (2020)
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
WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR (2020)
Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection. CVPR (2020)
Sara Beery, Elijah Cole, Arvi Gjoka
The iWildCam 2020 Competition Dataset. CoRR (2020)
Sara Beery, Dan Morris, Siyu Yang
Efficient Pipeline for Camera Trap Image Review. CoRR (2019)
Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang
Long Term Temporal Context for Per-Camera Object Detection. CoRR (2019)
Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona
The iWildCam 2018 Challenge Dataset. CoRR (2019)
Sara Beery, Dan Morris, Pietro Perona
The iWildCam 2019 Challenge Dataset. CoRR (2019)
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
A deep active learning system for species identification and counting in camera trap images. CoRR (2019)
Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona
Synthetic Examples Improve Generalization for Rare Classes. CoRR (2019)
Sara Beery, Grant Van Horn, Pietro Perona
Recognition in Terra Incognita. ECCV (16) (2018)
Sara Beery, Grant Van Horn, Pietro Perona
Recognition in Terra Incognita. CoRR (2018)
Agnieszka C. Miguel, Sara Beery, Erica Flores, Loren Klemesrud, Rana Bayrakcismith
Finding areas of motion in camera trap images. ICIP (2016)