Pietro Perona

Diffusion-Based Action Recognition Generalizes to Untrained Domains WACV 2026 SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance WACV 2026 A Rapid Test for Accuracy and Bias of Face Recognition Technology WACV 2025 Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision WACV 2025 Is CLIP ideal? No. Can we fix it? Yes! ICCV 2025 Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing CVPR 2025 Representational Similarity via Interpretable Visual Concepts ICLR 2025 Self-Supervised Incremental Learning of Object Representations from Arbitrary Image Sets WACV 2025 Text-Image Alignment for Diffusion-Based Perception CVPR 2024 "A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation" ECCV 2024 Spatial Implicit Neural Representations for Global-Scale Species Mapping ICML 2023 MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior ICML 2023 BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos CVPR 2023 Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation ICCV 2023 Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition ECCV 2022 Self-Supervised Keypoint Discovery in Behavioral Videos CVPR 2022 Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions CVPR 2022 Towards Weakly-Supervised Text Spotting Using a Multi-Task Transformer CVPR 2022 The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting ECCV 2022 On Label Granularity and Object Localization ECCV 2022 Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features ECCV 2022 Visual Knowledge Tracing ECCV 2022 Multi-Label Learning From Single Positive Labels CVPR 2021 Sequence-to-Sequence Contrastive Learning for Text Recognition CVPR 2021 Task Programming: Learning Data Efficient Behavior Representations CVPR 2021 Synthetic Examples Improve Generalization for Rare Classes WACV 2020 Towards causal benchmarking of bias in face analysis algorithms ECCV 2020 Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications CVPR 2020 Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty ICCV 2019 Task2Vec: Task Embedding for Meta-Learning ICCV 2019 Presence-Only Geographical Priors for Fine-Grained Image Classification ICCV 2019 Teaching Multiple Concepts to a Forgetful Learner NIPS 2019 The INaturalist Species Classification and Detection Dataset CVPR 2018 Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners NIPS 2018 Recognition in Terra Incognita ECCV 2018 Near-Optimal Machine Teaching via Explanatory Teaching Sets AISTATS 2018 Lean Multiclass Crowdsourcing CVPR 2018 Teaching Categories to Human Learners With Visual Explanations CVPR 2018 Context Embedding Networks CVPR 2018 Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation ICCV 2017 A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency ICML 2017 Deciding How to Decide: Dynamic Routing in Artificial Neural Networks ICML 2017 Seeing Into Darkness: Scotopic Visual Recognition CVPR 2017 Lean Crowdsourcing: Combining Humans and Machines in an Online System CVPR 2017 Multi-Level Cause-Effect Systems AISTATS 2016 Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees CVPR 2016 Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art CVPR 2015 Building a Bird Recognition App and Large Scale Dataset With Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection CVPR 2015 Similarity Comparisons for Interactive Fine-Grained Categorization CVPR 2014 Active Annotation Translation CVPR 2014 From Categories to Individuals in Real Time -- A Unified Boosting Approach CVPR 2014 Robust Face Landmark Estimation under Occlusion ICCV 2013 Quickly Boosting Decision Trees – Pruning Underachieving Features Early ICML 2013 A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration CVPR 2013 Predicting response time and error rates in visual search NIPS 2011 Crowdclustering NIPS 2011 Discriminative Clustering by Regularized Information Maximization NIPS 2010 The Multidimensional Wisdom of Crowds NIPS 2010 Graph-Based Visual Saliency NIPS 2006