GUSTAVO PÉREZ
Postdoctoral Scholar at UC Berkeley (BAIR Lab)
COMPUTER VISION & MACHINE LEARNING—IMAGE UNDERSTANDING | AI & HUMAN-IN-THE-LOOP | AI FOR SCIENCE
PUBLICATIONS
Normalize Filters! Classical Wisdom for Deep Vision Gustavo Perez, Stella Yu Advances in Neural Information Processing Systems (NeurIPS), 2025 (to appear) preprint · paper · BibTex |
Continental Connections: Changing Temperature, Wind and Precipitation Advance the Postbreeding Roosting Phenology of Avian Aerial Insectivores Yuting Deng, Birgen Haest, Maria Belotti, Wenlong Zhao, Gustavo Perez, Elske Tielens, Dan Sheldon, Subhransu Maji, Jeffrey Kelly, Kyle Horton Global Ecology and Biogeography, 2025 paper · project page · BibTex |
Human-in-the-Loop Visual Re-ID for Population Size Estimation Gustavo Perez, Daniel Sheldon, Grant Van Horn, Subhransu Maji The European Conference on Computer Vision (ECCV), 2024 pdf · preprint · paper · BibTex |
Feedback in emerging extragalactic star clusters, FEAST: The relation between 3.3 μm PAH emission and Star Formation Rate traced by ionized gas in NGC 628 Ben Gregg, Daniela Calzetti, Angela Adamo, Varun Bajaj, Jenna Ryon, Sean Linden, Matteo Correnti, Michele Cignoni, Matteo Messa, Elena Sabbi, John Gallagher, Kathryn Grasha, Alex Pedrini, Robert Gutermuth, Jens Melinder, Ralf Kotulla, Gustavo Perez, et al. The Astrophysical Journal (ApJ), 2024 paper · preprint · BibTex |
Using Spatio-Temporal Information in Weather Radar Data to Detect and Track Communal Roosts Gustavo Perez, Wenlong Zhao, Zezhou Cheng, Maria Belotti, Yuting Deng, Victoria Simons, Elske Tielens, Jeffrey Kelly, Kyle Horton, Subhransu Maji, Daniel Sheldon Remote Sensing in Ecology and Conservation, 2024 preprint · paper · BibTex |
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling Gustavo Perez, Subhransu Maji*, Daniel Sheldon* (*equal advising) Association for the Advancement of Artificial Intelligence (AAAI), 2024—oral pdf · paper · project page · BibTex · Best Paper Award (AI for Social Impact Track) |
Data to science with AI and human-in-the-loop Gustavo Perez Doctoral Dissertations. 3082. University of Massachusetts Amherst, 2024 pdf · thesis |
A Semi-Automated System to Annotate Communal Roosts in Large-Scale Weather Radar Data Wenlong Zhao, Gustavo Perez, Zezhou Cheng, Maria Belotti, Yuting Deng, Victoria Simons, Elske Tielens, Jeffrey Kelly, Kyle Horton, Subhransu Maji, Daniel Sheldon NeurIPS 2023 Computational Sustainability: Pitfalls and Promises from Theory to Deployment paper · BibTex |
Taking the long view: Enhancing learning on multi-temporal, high-resolution, and disparate remote sensing data Santiago Correa, Gustavo Perez, Paulina Jaramillo, Jay Taneja ACM BuildSys, 2023—oral paper · BibTex · Best Paper Award (1st Runner UP) |
ZeoNet: 3D convolutional neural networks for predicting adsorption in nanoporous zeolites Yachan Liu*, Gustavo Perez*, Zezhou Cheng, Aaron Sun, Samuel Hoover, Wei Fan, Subhransu Maji and Peng Bai (*equal contribution) Journal of Materials Chemistry A, 2023 pdf · paper · project page · press release · BibTex |
Long-term analysis of persistence and size of swallow and martin roosts in the US Great Lakes Maria Belotti, Yuting Deng, Wenlong Zhao, Victoria Simons, Zezhou Cheng, Gustavo Perez, Elske Tielens, Subhransu Maji, Daniel Sheldon, Jeffrey Kelly, Kyle Horton Remote Sensing in Ecology and Conservation, 2023 pdf · paper · project page · BibTex |
An AI-Assisted Labeling Tool for Cataloging High-Resolution Images of Galaxies Gustavo Perez, Sean Linden, Timothy McQuaid, Matteo Messa, Daniela Calzetti, Subhransu Maji NeurIPS 2022 AI for Science: Progress and Promises paper · project page · pdf · BibTex |
Quantifying long-term phenological patterns of aerial insectivores roosting in the Great Lakes region using weather surveillance radar Yuting Deng, Maria Belotti, Wenlong Zhao, Zezhou Cheng, Gustavo Perez, Elske Tielens, Victoria Simons, Daniel Sheldon, Subhransu Maji, Jeffrey Kelly, Kyle Horton Global Change Biology, 2022 paper · project page · BibTex |
Star Cluster Formation and Evolution in M101: An Investigation with the Legacy Extragalactic UV Survey Sean Linden, Gustavo Perez, Daniela Calzetti, Subhransu maji, Matteo Messa, et al. The Astrophysical Journal (ApJ), 2022 paper · project page · preprint · BibTex |
Domain Adaptors for Hyperspectral Images Gustavo Perez, Subhransu Maji 26TH International Conference on Pattern Recognition (ICPR), 2022 pdf · paper · project page · BibTex |
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge Yoganand Balagurunathan, Andrew Beers, Michael McNitt-Gray, Lubomir Hadjiiski, Sandy Napel, Dmitry Goldgof, Gustavo Perez, Pablo Arbelaez, et al. IEEE Transactions on Medical Imaging, 2021 pdf · paper · BibTex |
StarcNet: Machine Learning for Star Cluster Classification Gustavo Perez, Matteo Messa, Daniela Calzetti, Subhransu maji, Dooseok Jung, Angela Adamo, Mattia Sirressi The Astrophysical Journal (ApJ), 2021 paper · project page · preprint · BibTex |
Automated lung cancer diagnosis using three-dimensional convolutional neural networks Gustavo Perez, Pablo Arbelaez Medical & Biological Engineering & Computing, 2020 pdf · project page · paper · BibTex |
Finding Four-Leaf Clovers: A Benchmark for Fine-Grained Object Localization Laura Bravo*, Alejandro Pardo*, Gustavo Perez*, Pablo Arbelaez (*equal contribution) The Sixth Workshop on Fine-Grained Visual Categorization (FGVC6), CVPR 2019 pdf · paper · poster · project page · dataset · BibTex |
Automated Detection of Lung Nodules with Three-dimensional Convolutional Neural Networks Gustavo Perez, Pablo Arbelaez 13th International Conference on Medical Information Processing and Analysis, 2017—oral pdf · project page · paper · BibTex |