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ORCIDSara Beery
2020 – today
- 2025
[c19]Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang:
Visually Consistent Hierarchical Image Classification. ICLR 2025- [c18]Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola:
Personalized Representation from Personalized Generation. ICLR 2025 - [i36]Joshua Vendrow, Edward Vendrow, Sara Beery, Aleksander Madry:
Do Large Language Model Benchmarks Test Reliability? CoRR abs/2502.03461 (2025) - [i35]Kai Van Brunt, Justin Kay, Timm Haucke, Pietro Perona, Grant Van Horn, Sara Beery:
Counting Fish with Temporal Representations of Sonar Video. CoRR abs/2502.05129 (2025) - [i34]Yuyan Chen, Nico Lang, B. Christian Schmidt, Aditya Jain, Yves Basset, Sara Beery, Maxim Larrivée, David Rolnick:
Open-Set Recognition of Novel Species in Biodiversity Monitoring. CoRR abs/2503.01691 (2025) - [i33]Lauren Shrack, Timm Haucke, Antoine Salaün, Arjun Subramonian, Sara Beery:
Pairwise Matching of Intermediate Representations for Fine-grained Explainability. CoRR abs/2503.22881 (2025) - [i32]Neha Hulkund, Alaa Maalouf, Levi Cai, Daniel Yang, Tsun-Hsuan Wang, Abigail O'Neil, Timm Haucke, Sandeep Mukherjee, Vikram Ramaswamy, Judy Hansen Shen, Gabriel Tseng, Mike Walmsley, Daniela Rus, Ken Goldberg, Hannah Kerner, Irene Chen, Yogesh A. Girdhar, Sara Beery:
DataS^3: Dataset Subset Selection for Specialization. CoRR abs/2504.16277 (2025) - 2024
- [c17]Tarun Sharma, Julian Morgan Wagner, Sara Beery, William B. Dickson, Michael H. Dickinson, Joseph Parker:
Monitoring Social Insect Activity with Minimal Human Supervision. CVPR Workshops 2024: 1244-1253 - [c16]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. ECCV (41) 2024: 439-460 - [c15]David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White:
Position: Application-Driven Innovation in Machine Learning. ICML 2024 - [c14]Vaibhav Balloli, Sara Beery, Elizabeth Bondi-Kelly:
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval. IJCAI 2024: 7824-7832 - [c13]Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn:
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark. NeurIPS 2024 - [i31]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 abs/2403.12029 (2024) - [i30]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 abs/2403.17381 (2024) - [i29]Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang:
Learning Hierarchical Semantic Classification by Grounding on Consistent Image Segmentations. CoRR abs/2406.11608 (2024) - [i28]Vaibhav Balloli, Sara Beery, Elizabeth Bondi-Kelly:
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval. CoRR abs/2407.08908 (2024) - [i27]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 abs/2407.10330 (2024) - [i26]Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn:
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark. CoRR abs/2411.02537 (2024) - [i25]Avirath Sundaresan, Jason R. Parham, Jonathan P. Crall, Rosemary Warungu, Timothy Muthami, Margaret Mwangi, Jackson Miliko, Jason Holmberg, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Sara Beery:
Adapting the re-ID challenge for static sensors. CoRR abs/2412.00290 (2024) - [i24]Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola:
Personalized Representation from Personalized Generation. CoRR abs/2412.16156 (2024) - 2023
- [c12]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: 13052-13061 - [i23]Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason Parham, Benjamin Kellenberger, Sara Beery:
Teaching Computer Vision for Ecology. CoRR abs/2301.02211 (2023) - [i22]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 abs/2303.14409 (2023) - [i21]Jun Chen, Ming Hu, Darren J. Coker, Michael L. Berumen, Blair R. Costelloe, Sara M. Beery, Anna Rohrbach, Mohamed Elhoseiny:
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding. CoRR abs/2306.00576 (2023) - [i20]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 abs/2307.08774 (2023) - 2022
- [c11]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: 21262-21275 - [c10]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: 290-311 - [c9]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 - [i19]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 abs/2207.09295 (2022) - 2021
- [j1]Sara Beery:
Scaling biodiversity monitoring for the data age. XRDS 27(4): 14-18 (2021) - [c8]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: 12884-12893 - [c7]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: 88-98 - [c6]Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner:
Species Distribution Modeling for Machine Learning Practitioners: A Review. COMPASS 2021: 329-348 - [c5]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:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML 2021: 5637-5664 - [i18]Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha:
Benchmarking Representation Learning for Natural World Image Collections. CoRR abs/2103.16483 (2021) - [i17]Sara Beery, Arushi Agarwal, Elijah Cole, Vighnesh Birodkar:
The iWildCam 2021 Competition Dataset. CoRR abs/2105.03494 (2021) - [i16]Sara Beery, Elizabeth Bondi:
Can poachers find animals from public camera trap images? CoRR abs/2106.11236 (2021) - [i15]Edoardo Lanzini, Sara Beery:
Image-to-Image Translation of Synthetic Samples for Rare Classes. CoRR abs/2106.12212 (2021) - [i14]Peter Kulits, Jake Wall, Anka Bedetti, Michelle Henley, Sara Beery:
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification. CoRR abs/2106.15083 (2021) - [i13]Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner:
Species Distribution Modeling for Machine Learning Practitioners: A Review. CoRR abs/2107.10400 (2021) - [i12]Tuhin Das, Robert-Jan Bruintjes, Attila Lengyel, Jan van Gemert, Sara Beery:
Domain Adaptation for Rare Classes Augmented with Synthetic Samples. CoRR abs/2110.12216 (2021) - [i11]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 abs/2110.12951 (2021) - [i10]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 abs/2112.05090 (2021) - 2020
- [c4]Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang:
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection. CVPR 2020: 13072-13082 - [c3]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: 852-862 - [i9]Sara Beery, Elijah Cole, Arvi Gjoka:
The iWildCam 2020 Competition Dataset. CoRR abs/2004.10340 (2020) - [i8]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 abs/2012.07421 (2020)
2010 – 2019
- 2019
- [i7]Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona:
Synthetic Examples Improve Generalization for Rare Classes. CoRR abs/1904.05916 (2019) - [i6]Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona:
The iWildCam 2018 Challenge Dataset. CoRR abs/1904.05986 (2019) - [i5]Sara Beery, Dan Morris, Siyu Yang:
Efficient Pipeline for Camera Trap Image Review. CoRR abs/1907.06772 (2019) - [i4]Sara Beery, Dan Morris, Pietro Perona:
The iWildCam 2019 Challenge Dataset. CoRR abs/1907.07617 (2019) - [i3]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 abs/1910.09716 (2019) - [i2]Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang:
Long Term Temporal Context for Per-Camera Object Detection. CoRR abs/1912.03538 (2019) - 2018
- [c2]Sara Beery, Grant Van Horn, Pietro Perona:
Recognition in Terra Incognita. ECCV (16) 2018: 472-489 - [i1]Sara Beery, Grant Van Horn, Pietro Perona:
Recognition in Terra Incognita. CoRR abs/1807.04975 (2018) - 2016
- [c1]Agnieszka C. Miguel, Sara Beery, Erica Flores, Loren Klemesrud, Rana Bayrakcismith:
Finding areas of motion in camera trap images. ICIP 2016: 1334-1338
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last updated on 2025-06-08 15:49 CEST by the dblp team
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