Pietro Perona

papers

846

total citations

papers (20)

Multi-Label Learning From Single Positive Labels

CVPR 2021arXiv

145

citations

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications

CVPR 2020arXiv

138

citations

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

ECCV 2022arXiv

citations

Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation

ICCV 2023arXiv

citations

BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos

CVPR 2023arXiv

citations

On Label Granularity and Object Localization

ECCV 2022arXiv

citations

Is CLIP ideal? No. Can we fix it? Yes!

ICCV 2025arXiv

citations

Representational Similarity via Interpretable Visual Concepts

ICLR 2025arXiv

citations

Visual Knowledge Tracing

ECCV 2022arXiv

citations

Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition

ECCV 2022

citations

Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing

CVPR 2025

citations

Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features

ECCV 2022

citations

Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions

CVPR 2022

citations

Representational Difference Explanations

NEURIPS 2025arXiv

citations

Pietro Perona

papers (20)

Multi-Label Learning From Single Positive Labels

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications

Sequence-to-Sequence Contrastive Learning for Text Recognition

Towards causal benchmarking of bias in face analysis algorithms

Task Programming: Learning Data Efficient Behavior Representations

Towards Weakly-Supervised Text Spotting Using a Multi-Task Transformer

Text-Image Alignment for Diffusion-Based Perception

Self-Supervised Keypoint Discovery in Behavioral Videos

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation

BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos

On Label Granularity and Object Localization

Is CLIP ideal? No. Can we fix it? Yes!

Representational Similarity via Interpretable Visual Concepts

Visual Knowledge Tracing

Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition

Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing

Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features

Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions

Representational Difference Explanations

papers (20)

Multi-Label Learning From Single Positive Labels

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications

Sequence-to-Sequence Contrastive Learning for Text Recognition

Towards causal benchmarking of bias in face analysis algorithms

Task Programming: Learning Data Efficient Behavior Representations

Towards Weakly-Supervised Text Spotting Using a Multi-Task Transformer

Text-Image Alignment for Diffusion-Based Perception

Self-Supervised Keypoint Discovery in Behavioral Videos

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation

BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos

On Label Granularity and Object Localization

Is CLIP ideal? No. Can we fix it? Yes!

Representational Similarity via Interpretable Visual Concepts

Visual Knowledge Tracing

Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition

Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing

Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features

Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions

Representational Difference Explanations