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 (ECCV (8), 2022)

Conservation Tools: The Next Generation of Engineering-Biology Collaborations. - Andrew Schulz; Cassie Shriver; Suzanne Stathatos; Benjamin Seleb; Emily Weigel; Young-Hui Chang; M. Saad Bhamla; David Hu; Joseph R. Mendelson III (CoRR, 2023)

Teaching Computer Vision for Ecology. - Elijah Cole; Suzanne Stathatos; Björn Lütjens; Tarun Sharma; Justin Kay; Jason R. Parham; Benjamin Kellenberger; Sara Beery (CoRR, 2023)

Utilizing Online and Open-Source Machine Learning Toolkits to Leverage the Future of Sustainable Engineering. - Andrew Schulz; Suzanne Stathatos; Cassandra Shriver; Roxanne Moore (CoRR, 2023)

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 (Trans. Mach. Learn. Res., 2025)

SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance. - Suzanne Stathatos; Michael Hobley; Markus Marks; Pietro Perona (CoRR, 2025)