Pietro Perona
59 papers · 2006–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(23)
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(10)
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Keyword Trendsetter Combo
(13)
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(12)
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Topic Evolution
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(2)
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Mega-Team Β· Squad
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Renaissance Researcher
(7)
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(296)
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Research topics
Machine Learning
(41)
Computer Vision
(29)
Learning Types Β· Machine Learning
(28)
Analysis
(21)
Core Methods
(20)
Artificial Intelligence
(19)
Deep Learning
(18)
Core AI Β· Artificial Intelligence
(13)
Optimization & Theory
(10)
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(9)
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(8)
Processing
(8)
Architectures
(6)
Core AI Β· Computer Vision
(6)
Bayesian & Probabilistic
(5)
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)
face recognition
(2)
multi-task learning
(2)
contrastive learning
(2)
video understanding
(2)
weakly supervised learning
(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
Is CLIP ideal? No. Can we fix it? Yes!
ICCV 2025
Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision
WACV 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
"A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation"
ECCV 2024
Text-Image Alignment for Diffusion-Based Perception
CVPR 2024
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation
ICCV 2023
BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos
CVPR 2023
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
ICML 2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping
ICML 2023
Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions
CVPR 2022
On Label Granularity and Object Localization
ECCV 2022
Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features
ECCV 2022
Self-Supervised Keypoint Discovery in Behavioral Videos
CVPR 2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
ECCV 2022
Towards Weakly-Supervised Text Spotting Using a Multi-Task Transformer
CVPR 2022
Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition
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
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications
CVPR 2020
Synthetic Examples Improve Generalization for Rare Classes
WACV 2020
Towards causal benchmarking of bias in face analysis algorithms
ECCV 2020
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty
ICCV 2019
Presence-Only Geographical Priors for Fine-Grained Image Classification
ICCV 2019
Task2Vec: Task Embedding for Meta-Learning
ICCV 2019
Teaching Multiple Concepts to a Forgetful Learner
NeurIPS 2019
Context Embedding Networks
CVPR 2018
Lean Multiclass Crowdsourcing
CVPR 2018
Near-Optimal Machine Teaching via Explanatory Teaching Sets
AISTATS 2018
Recognition in Terra Incognita
ECCV 2018
Teaching Categories to Human Learners With Visual Explanations
CVPR 2018
The INaturalist Species Classification and Detection Dataset
CVPR 2018
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
NeurIPS 2018
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency
ICML 2017
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation
ICCV 2017
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
ICML 2017
Lean Crowdsourcing: Combining Humans and Machines in an Online System
CVPR 2017
Seeing Into Darkness: Scotopic Visual Recognition
CVPR 2017
Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees
CVPR 2016
Multi-Level Cause-Effect Systems
AISTATS 2016
Building a Bird Recognition App and Large Scale Dataset With Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection
CVPR 2015
Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art
CVPR 2015
Active Annotation Translation
CVPR 2014
From Categories to Individuals in Real Time -- A Unified Boosting Approach
CVPR 2014
Similarity Comparisons for Interactive Fine-Grained Categorization
CVPR 2014
A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration
CVPR 2013
Quickly Boosting Decision Trees β Pruning Underachieving Features Early
ICML 2013
Robust Face Landmark Estimation under Occlusion
ICCV 2013
Crowdclustering
NeurIPS 2011
Predicting response time and error rates in visual search
NeurIPS 2011
Discriminative Clustering by Regularized Information Maximization
NeurIPS 2010
The Multidimensional Wisdom of Crowds
NeurIPS 2010
Graph-Based Visual Saliency
NeurIPS 2006