Sara Beery

Orcid: 0000-0002-2544-1844

Affiliations:

Massachusetts Institute of Technology, USA
California Institute of Technology, USA (former)

According to our database¹, Sara Beery authored at least 61 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Centering Ecological Goals in Automated Identification of Individual Animals.

[BibT_eX]

[DOI]

Lukás Picek

Timm Haucke

Lukás Adam

Ekaterina Nepovinnykh

CoRR, April, 2026

ID-Sim: An Identity-Focused Similarity Metric.

[BibT_eX]

[DOI]

CoRR, April, 2026

TaxaAdapter: Vision Taxonomy Models are Key to Fine-grained Image Generation over the Tree of Life.

[BibT_eX]

[DOI]

CoRR, March, 2026

Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images.

[BibT_eX]

[DOI]

Rupa Kurinchi-Vendhan

Pratyusha Sharma

Antonio Torralba

Sara Beery

CoRR, March, 2026

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't).

[BibT_eX]

[DOI]

CoRR, February, 2026

Deep in the Jungle: Towards Automating Chimpanzee Population Estimation.

[BibT_eX]

[DOI]

Anne-Sophie Crunchant

CoRR, January, 2026

2025

Finer-Personalization Rank: Fine-Grained Retrieval Examines Identity Preservation for Personalized Generation.

[BibT_eX]

[DOI]

CoRR, December, 2025

INQUIRE-Search: A Framework for Interactive Discovery in Large-Scale Biodiversity Databases.

[BibT_eX]

[DOI]

Edward Vendrow

Julia Chae

Rupa Kurinchi-Vendhan

CoRR, November, 2025

Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations.

[BibT_eX]

[DOI]

CoRR, October, 2025

ReefNet: A Large scale, Taxonomically Enriched Dataset and Benchmark for Hard Coral Classification.

[BibT_eX]

[DOI]

CoRR, October, 2025

DataS^3: Dataset Subset Selection for Specialization.

[BibT_eX]

[DOI]

CoRR, April, 2025

Pairwise Matching of Intermediate Representations for Fine-grained Explainability.

[BibT_eX]

[DOI]

CoRR, March, 2025

Open-Set Recognition of Novel Species in Biodiversity Monitoring.

[BibT_eX]

[DOI]

CoRR, March, 2025

Counting Fish with Temporal Representations of Sonar Video.

[BibT_eX]

[DOI]

CoRR, February, 2025

Do Large Language Model Benchmarks Test Reliability?

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

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

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Adapting the Re-ID Challenge for Static Sensors.

[BibT_eX]

[DOI]

IET Comput. Vis., 2025

Personalized Representation from Personalized Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Visually Consistent Hierarchical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Divide and Conquer: Structured Reranking for Expert-Level Ecological Image Retrieval.

[BibT_eX]

[DOI]

Asmi Kumar

Edward Vendrow

Sara Beery

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Consensus-Driven Active Model Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

To crop or not to crop: Comparing whole-image and cropped classification on a large dataset of camera trap images.

[BibT_eX]

[DOI]

IET Comput. Vis., 2024

Adapting the re-ID challenge for static sensors.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Hierarchical Semantic Classification by Grounding on Consistent Image Segmentations.

[BibT_eX]

[DOI]

CoRR, 2024

Application-Driven Innovation in Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2024

INQUIRE: A Natural World Text-to-Image Retrieval Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval.

[BibT_eX]

[DOI]

Vaibhav Balloli

Sara Beery

Elizabeth Bondi-Kelly

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Position: Application-Driven Innovation in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Monitoring Social Insect Activity with Minimal Human Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Teaching Computer Vision for Ecology.

[BibT_eX]

[DOI]

Benjamin Kellenberger

Sara Beery

CoRR, 2023

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

[BibT_eX]

[DOI]

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

2022

Extending the WILDS Benchmark for Unsupervised Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

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

[BibT_eX]

[DOI]

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

2021

Scaling biodiversity monitoring for the data age.

[BibT_eX]

[DOI]

Sara Beery

XRDS, 2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation.

[BibT_eX]

[DOI]

Devis Tuia

Benjamin Kellenberger

CoRR, 2021

Domain Adaptation for Rare Classes Augmented with Synthetic Samples.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Edoardo Lanzini

Sara Beery

CoRR, 2021

Can poachers find animals from public camera trap images?

[BibT_eX]

[DOI]

Sara Beery

Elizabeth Bondi

CoRR, 2021

The iWildCam 2021 Competition Dataset.

[BibT_eX]

[DOI]

CoRR, 2021

WILDS: A Benchmark of in-the-Wild Distribution Shifts.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

WILDS: A Benchmark of in-the-Wild Distribution Shifts.

[BibT_eX]

[DOI]

Richard Lanas Phillips

CoRR, 2020

The iWildCam 2020 Competition Dataset.

[BibT_eX]

[DOI]

Sara Beery

Elijah Cole

Arvi Gjoka

CoRR, 2020

Synthetic Examples Improve Generalization for Rare Classes.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2019

Long Term Temporal Context for Per-Camera Object Detection.

[BibT_eX]

[DOI]

CoRR, 2019

A deep active learning system for species identification and counting in camera trap images.

[BibT_eX]

[DOI]

Mohammad Sadegh Norouzzadeh

CoRR, 2019

The iWildCam 2019 Challenge Dataset.

[BibT_eX]

[DOI]

Sara Beery

Dan Morris

Pietro Perona

CoRR, 2019

Efficient Pipeline for Camera Trap Image Review.

[BibT_eX]

[DOI]

Sara Beery

Dan Morris

Siyu Yang

CoRR, 2019

The iWildCam 2018 Challenge Dataset.

[BibT_eX]

[DOI]

CoRR, 2019

Synthetic Examples Improve Generalization for Rare Classes.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Recognition in Terra Incognita.

[BibT_eX]

[DOI]

Sara Beery

Grant Van Horn

Pietro Perona

Proceedings of the Computer Vision - ECCV 2018, 2018

2016

Finding areas of motion in camera trap images.

[BibT_eX]

[DOI]

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

Sara Beery

Timeline

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Bibliography

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