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Pietro Perona

59 papers · 2006–2026 · 8 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (14) 🐝 Cross-Pollinator (8) πŸƒ Academic Marathon (20) 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (9) 🏠 Conference Loyalist (23) πŸ‘₯ Mega-Team (23) 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution 🌱 Topic Pioneer πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (277) πŸ”₯ Unstoppable (14) πŸ’Ž Century Club (59) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

CVPR (23) ECCV (8) ICCV (7) NIPS (7) WACV (6) ICML (5) AISTATS (2) ICLR (1)

Top co-authors

Oisin Mac Aodha (12) Grant Van Horn (9) Yisong Yue (8) Steve Branson (6) Markus Marks (5) Serge Belongie (5) Elijah Cole (4) Jennifer J. Sun (4) Ann Kennedy (4) Yuxin Chen (4)

Research topics

Computer Vision (1) Education (1)

Keywords

self-supervised learning (6) fine-grained classification (5) image classification (5) object detection (5) active learning (4) pose estimation (4) machine teaching (3) convolutional neural network (3) computer vision (3) video understanding (2) multi-task learning (2) contrastive learning (2) human pose estimation (2) face recognition (2) semi-supervised learning (2) representation learning (2) unsupervised clustering (2) probabilistic modeling (2) online learning (2) semantic segmentation (2)

Papers

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