Pietro Perona

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 114

Top Venues

Publications

Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation. CoRR (2024)
Ritambhara Singh, Abhishek Jain, Pietro Perona, Shivani Agarwal, Junfeng Yang
On the Effect of Image Resolution on Semantic Segmentation. CoRR (2024)
Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. FAccT (2024)
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 (2024)
Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona
Less is More: Discovering Concise Network Explanations. CoRR (2024)
Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification. CoRR (2024)
Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. CoRR (2024)
Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona
Text-image Alignment for Diffusion-based Perception. CoRR (2023)
Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E. Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior. ICML (2023)
Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
Spatial Implicit Neural Representations for Global-Scale Species Mapping. CoRR (2023)
Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CVPR (2023)
Julio Arroyo, Pietro Perona, Elijah Cole
Understanding Label Bias in Single Positive Multi-Label Learning. Tiny Papers @ ICLR (2023)
Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
Spatial Implicit Neural Representations for Global-Scale Species Mapping. ICML (2023)
Julio Arroyo, Pietro Perona, Elijah Cole
Understanding Label Bias in Single Positive Multi-Label Learning. CoRR (2023)
Riccardo Fogliato, Pratik Patil, Pietro Perona
Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations. CoRR (2023)
Hao Liang, Pietro Perona, Guha Balakrishnan
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. CoRR (2023)
Hao Liang, Pietro Perona, Guha Balakrishnan
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. ICCV (2023)
Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features. ECCV (17) (2022)
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)
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 (2022)
Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez
Near Perfect GAN Inversion. CoRR (2022)
Yair Kittenplon, Inbal Lavi, Sharon Fogel, Yarin Bar, R. Manmatha, Pietro Perona
Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer. CoRR (2022)
Jennifer J. Sun, Andrew Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Zachary Partridge, Alice Robie, Catherine E. Schretter, Chao Sun, Keith Sheppard, Param Uttarwar, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy
The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior. CoRR (2022)
Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha
Visual Knowledge Tracing. CoRR (2022)
Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. CoRR (2022)
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
On Label Granularity and Object Localization. CoRR (2022)
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
On Label Granularity and Object Localization. ECCV (10) (2022)
Yair Kittenplon, Inbal Lavi, Sharon Fogel, Yarin Bar, R. Manmatha, Pietro Perona
Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer. CVPR (2022)
De'Aira Bryant, Siqi Deng, Nashlie Sephus, Wei Xia, Pietro Perona
Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions. CVPR (2022)
Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR (2022)
Jennifer J. Sun, Serim Ryou, Roni H. Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona
Self-Supervised Keypoint Discovery in Behavioral Videos. CVPR (2022)
Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha
Visual Knowledge Tracing. ECCV (25) (2022)
Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona
Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition. ECCV (13) (2022)
Chandan Singh, Guha Balakrishnan, Pietro Perona
Matched sample selection with GANs for mitigating attribute confounding. CoRR (2021)
Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. CoRR (2021)
Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner
Species Distribution Modeling for Machine Learning Practitioners: A Review. COMPASS (2021)
Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
Multi-Label Learning from Single Positive Labels. CoRR (2021)
Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona
A linearized framework and a new benchmark for model selection for fine-tuning. CoRR (2021)
Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
Multi-Label Learning From Single Positive Labels. CVPR (2021)
Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona
Sequence-to-Sequence Contrastive Learning for Text Recognition. CVPR (2021)
Serim Ryou, Pietro Perona
Weakly Supervised Keypoint Discovery. CoRR (2021)
Jennifer J. Sun, Serim Ryou, Roni Goldshmid, Brandon Weissbourd, John Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona
Self-Supervised Keypoint Discovery in Behavioral Videos. CoRR (2021)
Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona
Task Programming: Learning Data Efficient Behavior Representations. CVPR (2021)
Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner
Species Distribution Modeling for Machine Learning Practitioners: A Review. CoRR (2021)
Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, Benjamin Wild, Quan Sun, Chen Chen, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. NeurIPS Datasets and Benchmarks (2021)
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)
Neehar Kondapaneni, Pietro Perona
A Number Sense as an Emergent Property of the Manipulating Brain. CoRR (2020)
Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona
Task Programming: Learning Data Efficient Behavior Representations. CoRR (2020)
Bhairav Chidambaram, Mason McGill, Pietro Perona
HMM-guided frame querying for bandwidth-constrained video search. CoRR (2020)
Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
Towards Causal Benchmarking of Bias in Face Analysis Algorithms. ECCV (18) (2020)
Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. CVPR (2020)
Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. CoRR (2020)
Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
Towards causal benchmarking of bias in face analysis algorithms. CoRR (2020)
Daniel Laumer, Nico Lang, Natalie van Doorn, Oisin Mac Aodha, Pietro Perona, Jan Dirk Wegner
Geocoding of trees from street addresses and street-level images. CoRR (2020)
Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona
Sequence-to-Sequence Contrastive Learning for Text Recognition. CoRR (2020)
Oisin Mac Aodha, Elijah Cole, Pietro Perona
Presence-Only Geographical Priors for Fine-Grained Image Classification. CoRR (2019)
Serim Ryou, Seong-Gyun Jeong, Pietro Perona
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty. ICCV (2019)
Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona
The iWildCam 2018 Challenge Dataset. CoRR (2019)
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
Task2Vec: Task Embedding for Meta-Learning. CoRR (2019)
Sara Beery, Dan Morris, Pietro Perona
The iWildCam 2019 Challenge Dataset. CoRR (2019)
Steve Branson, Jan Dirk Wegner, David Hall, Nico Lang, Konrad Schindler, Pietro Perona
From Google Maps to a Fine-Grained Catalog of Street trees. CoRR (2019)
Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona
Synthetic Examples Improve Generalization for Rare Classes. CoRR (2019)
Yang Liu, Pietro Perona, Markus Meister
PanDA: Panoptic Data Augmentation. CoRR (2019)
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
Teaching Multiple Concepts to a Forgetful Learner. NeurIPS (2019)
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
Task2Vec: Task Embedding for Meta-Learning. ICCV (2019)
Oisin Mac Aodha, Elijah Cole, Pietro Perona
Presence-Only Geographical Priors for Fine-Grained Image Classification. ICCV (2019)
Serim Ryou, Seong-Gyun Jeong, Pietro Perona
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty. CoRR (2019)
Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. BMVC (2018)
Sara Beery, Grant Van Horn, Pietro Perona
Recognition in Terra Incognita. ECCV (16) (2018)
Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
Fast Conditional Independence Test for Vector Variables with Large Sample Sizes. CoRR (2018)
Masaki Okamoto, Pietro Perona, Abdelaziz Khiat
DDT: Deep Driving Tree for Proactive Planning in Interactive Scenarios. ITSC (2018)
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
Teaching Multiple Concepts to Forgetful Learners. CoRR (2018)
Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. CoRR (2018)
Sara Beery, Grant Van Horn, Pietro Perona
Recognition in Terra Incognita. CoRR (2018)
Grant Van Horn, Steve Branson, Scott Loarie, Serge J. Belongie, Pietro Perona
Lean Multiclass Crowdsourcing. CVPR (2018)
Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
Teaching Categories to Human Learners with Visual Explanations. CoRR (2018)
Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. CoRR (2018)
Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
Teaching Categories to Human Learners With Visual Explanations. CVPR (2018)
Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
The INaturalist Species Classification and Detection Dataset. CVPR (2018)
Kun Ho Kim, Oisin Mac Aodha, Pietro Perona
Context Embedding Networks. CVPR (2018)
Serim Ryou, Pietro Perona
Parsing Pose of People with Interaction. BMVC (2018)
Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. NeurIPS (2018)
Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue
Near-Optimal Machine Teaching via Explanatory Teaching Sets. AISTATS (2018)
Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona
Learning Recurrent Representations for Hierarchical Behavior Modeling. ICLR (Poster) (2017)
Kun Ho Kim, Oisin Mac Aodha, Pietro Perona
Context Embedding Networks. CoRR (2017)
Grant Van Horn, Pietro Perona
The Devil is in the Tails: Fine-grained Classification in the Wild. CoRR (2017)
Steve Branson, Grant Van Horn, Pietro Perona
Lean Crowdsourcing: Combining Humans and Machines in an Online System. CVPR (2017)
Ron Appel, Pietro Perona
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency. ICML (2017)
Matteo Ruggero Ronchi, Pietro Perona
Benchmarking and Error Diagnosis in Multi-instance Pose Estimation. ICCV (2017)
Mason McGill, Pietro Perona
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks. ICML (2017)
Bo Chen, Pietro Perona
Seeing into Darkness: Scotopic Visual Recognition. CVPR (2017)
Mason McGill, Pietro Perona
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks. CoRR (2017)
Grant Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
The iNaturalist Challenge 2017 Dataset. CoRR (2017)
Matteo Ruggero Ronchi, Pietro Perona
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation. CoRR (2017)
Krzysztof Chalupka, Tobias Bischoff, Frederick Eberhardt, Pietro Perona
Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. UAI (2016)
Bo Chen, Pietro Perona
Vision without the Image. Sensors 16 (4) (2016)
Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona
Learning recurrent representations for hierarchical behavior modeling. CoRR (2016)
David Hall, Pietro Perona
Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art. CoRR (2016)
Jan Dirk Wegner, Steve Branson, David Hall, Konrad Schindler, Pietro Perona
Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees. CVPR (2016)
Krzysztof Chalupka, Tobias Bischoff, Pietro Perona, Frederick Eberhardt
Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

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Pietro Perona