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ORCIDSara Beery
Sara M. Beery
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- affiliation: Massachusetts Institute of Technology, USA
- affiliation (former): California Institute of Technology, USA
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2020 – today
- 2026
[j7]Edward Vendrow, Julia Chae, Rupa Kurinchi-Vendhan, Isaac Eckert, Jazlynn Hall, Marta Jarzyna, Reymond Miyajima, Ruth Oliver, Laura Pollock, Lauren Shrack, Scott Yanco, Oisin Mac Aodha, Sara Beery:
INQUIRE-Search: Interactive discovery in large-scale biodiversity databases. Ecol. Informatics 97: 103879 (2026)- [j6]Yu-Hsuan Hsu, Sara Beery, Christopher P. Kempes, Mingzhen Lu, Serguei Saavedra:
The impact of strong activity disruption on building energetics. EPJ Data Sci. 15(1): 64 (2026) - [i48]Tom Raynes, Otto Brookes, Timm Haucke, Lukas Boesch, Anne-Sophie Crunchant, Hjalmar S. Kühl, Sara Beery, Majid Mirmehdi, Tilo Burghardt:
Deep in the Jungle: Towards Automating Chimpanzee Population Estimation. CoRR abs/2601.22917 (2026) - [i47]Nihal V. Nayak, Paula Rodriguez Diaz, Neha Hulkund, Sara Beery, David Alvarez-Melis:
A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't). CoRR abs/2602.14696 (2026) - [i46]Rupa Kurinchi-Vendhan, Pratyusha Sharma, Antonio Torralba, Sara Beery:
Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images. CoRR abs/2603.14151 (2026) - [i45]Mridul Khurana, Amin Karimi Monsefi, Justin Lee, Medha Sawhney, David Carlyn, Julia Chae, Jianyang Gu, Rajiv Ramnath, Sara Beery, Wei-Lun Chao, Anuj Karpatne, Cheng Zhang:
TaxaAdapter: Vision Taxonomy Models are Key to Fine-grained Image Generation over the Tree of Life. CoRR abs/2603.26128 (2026) - [i44]Julia Chae, Nicholas I. Kolkin, Jui-Hsien Wang, Richard Zhang, Sara Beery, Cusuh Ham:
ID-Sim: An Identity-Focused Similarity Metric. CoRR abs/2604.05039 (2026) - [i43]Lukás Picek, Timm Haucke, Lukás Adam, Ekaterina Nepovinnykh, Lasha Otarashvili, Kostas Papafitsoros, Tanya Y. Berger-Wolf, Michael B. Brown, Tilo Burghardt, Vojtech Cermák, Daniela Hedwig, Justin Kitzes, Sam Lapp, Subhransu Maji, Daniel I. Rubenstein, Arjun Subramonian, Charles V. Stewart, Silvia Zuffi, Sara Beery:
Centering Ecological Goals in Automated Identification of Individual Animals. CoRR abs/2604.20626 (2026) - [i42]Rupa Kurinchi-Vendhan, Sara Beery:
Finding Needles in the Haystack: Transductive Active Labeling in Ecology. CoRR abs/2606.03821 (2026) - 2025
- [j5]Avirath Sundaresan
, Jason Parham, Jonathan P. Crall, Rosemary Warungu, Timothy Muthami, Jackson Miliko, Margaret Mwangi, Jason Holmberg, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Sara Beery:
Adapting the Re-ID Challenge for Static Sensors. IET Comput. Vis. 19(1) (2025) - [j4]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. Trans. Mach. Learn. Res. 2025 (2025) - [j3]Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh, Elias Frantar, Sara Beery, Eldar Kurtic, Dan Alistarh:
TACO Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression. Trans. Mach. Learn. Res. 2025 (2025) - [c23]Justin Kay, Grant Van Horn, Subhransu Maji, Daniel Sheldon, Sara Beery:
Consensus-Driven Active Model Selection. ICCV 2025: 4594-4604 - [c22]Asmi Kumar, Edward Vendrow, Sara Beery:
Divide and Conquer: Structured Reranking for Expert-Level Ecological Image Retrieval. ICCVW 2025: 5175-5184 - [c21]Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang:
Visually Consistent Hierarchical Image Classification. ICLR 2025 - [c20]Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola:
Personalized Representation from Personalized Generation. ICLR 2025 - [c19]Yuyan Chen, Nico Lang, B. Christian Schmidt, Aditya Jain, Yves Basset, Sara Beery, Maxim Larrivée, David Rolnick:
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring. NeurIPS 2025 - [c18]Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud, Sara Beery, Marzyeh Ghassemi:
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations. NeurIPS 2025 - [i41]Joshua Vendrow, Edward Vendrow, Sara Beery, Aleksander Madry:
Do Large Language Model Benchmarks Test Reliability? CoRR abs/2502.03461 (2025) - [i40]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) - [i39]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) - [i38]Lauren Shrack, Timm Haucke, Antoine Salaün, Arjun Subramonian, Sara Beery:
Pairwise Matching of Intermediate Representations for Fine-grained Explainability. CoRR abs/2503.22881 (2025) - [i37]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) - [i36]Justin Kay, Grant Van Horn, Subhransu Maji, Daniel Sheldon, Sara Beery:
Consensus-Driven Active Model Selection. CoRR abs/2507.23771 (2025) - [i35]Yahia Battach, Abdulwahab Felemban, Faizan Farooq Khan, Yousef A. Radwan, Xiang Li, Fabio M. Marchese, Sara Beery, Burton H. Jones, Francesca Benzoni, Mohamed Elhoseiny:
ReefNet: A Large scale, Taxonomically Enriched Dataset and Benchmark for Hard Coral Classification. CoRR abs/2510.16822 (2025) - [i34]Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud, Sara Beery, Marzyeh Ghassemi:
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations. CoRR abs/2510.24884 (2025) - [i33]Edward Vendrow, Julia Chae, Rupa Kurinchi-Vendhan, Isaac Eckert, Jazlynn Hall, Marta Jarzyna, Reymond Miyajima, Ruth Oliver, Laura Pollock, Lauren Shrack, Scott Yanco, Oisin Mac Aodha, Sara Beery:
INQUIRE-Search: A Framework for Interactive Discovery in Large-Scale Biodiversity Databases. CoRR abs/2511.15656 (2025) - [i32]Connor Kilrain, David Carlyn, Julia Chae, Sara Beery, Wei-Lun Chao, Jianyang Gu:
Finer-Personalization Rank: Fine-Grained Retrieval Examines Identity Preservation for Personalized Generation. CoRR abs/2512.19026 (2025) - 2024
- [j2]Tomer Gadot, Stefan Istrate, Hyungwon Kim, Dan Morris, Sara Beery, Tanya Birch, Jorge Ahumada:
To crop or not to crop: Comparing whole-image and cropped classification on a large dataset of camera trap images. IET Comput. Vis. 18(8): 1193-1208 (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: 42707-42718 - [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 R. 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
Coauthor Index
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last updated on 2026-07-30 02:49 CEST by the dblp team
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