Pietro Perona

Pietro Perona

California Institute of Technology

H-index: 121

North America-United States

About Pietro Perona

Pietro Perona, With an exceptional h-index of 121 and a recent h-index of 73 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of Computer Vision, Machine Learning, Applied Mathematics, Neuroscience, Psychology.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the Effect of Image Resolution on Semantic Segmentation

A number sense as an emergent property of the manipulating brain

Distributed representations of innate behaviors in the hypothalamus do not predict specialized functional centers

Causal analysis of social bias in CLIP

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

Text-image alignment for diffusion-based perception

Unsupervised Domain Adaptation in the Real World: A Case Study in Sonar Video

BKinD-3D: self-supervised 3D keypoint discovery from multi-view videos

Pietro Perona Information

University

Position

___

Citations(all)

150423

Citations(since 2020)

72835

Cited By

99860

hIndex(all)

121

hIndex(since 2020)

73

i10Index(all)

324

i10Index(since 2020)

204

Email

University Profile Page

California Institute of Technology

Google Scholar

View Google Scholar Profile

Pietro Perona Skills & Research Interests

Computer Vision

Machine Learning

Applied Mathematics

Neuroscience

Psychology

Top articles of Pietro Perona

Title

Journal

Author(s)

Publication Date

On the Effect of Image Resolution on Semantic Segmentation

arXiv preprint arXiv:2402.05398

Ritambhara Singh

Abhishek Jain

Pietro Perona

Shivani Agarwal

Junfeng Yang

2024/2/8

A number sense as an emergent property of the manipulating brain

Scientific Reports

Neehar Kondapaneni

Pietro Perona

2024/3/21

Distributed representations of innate behaviors in the hypothalamus do not predict specialized functional centers

bioRxiv

Stefanos Stagkourakis

Giada Spigolon

Markus Marks

Michael Feyder

Joseph Kim

...

2023

Causal analysis of social bias in CLIP

Carina I Hausladen

Manuel Knott

Pietro Perona

Colin Camerer

2023/10/13

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

Hao Liang

Pietro Perona

Guha Balakrishnan

2023

Text-image alignment for diffusion-based perception

arXiv preprint arXiv:2310.00031

Neehar Kondapaneni

Markus Marks

Manuel Knott

Rogério Guimaraes

Pietro Perona

2023/9/29

Unsupervised Domain Adaptation in the Real World: A Case Study in Sonar Video

Justin Kay

Suzanne Stathatos

Siqi Deng

Erik Young

Pietro Perona

...

2023/12/15

BKinD-3D: self-supervised 3D keypoint discovery from multi-view videos

Jennifer J Sun

Lili Karashchuk

Amil Dravid

Serim Ryou

Sonia Fereidooni

...

2023

MABe22: a multi-species multi-task benchmark for learned representations of behavior

Jennifer J Sun

Markus Marks

Andrew Wesley Ulmer

Dipam Chakraborty

Brian Geuther

...

2023

Anatomically distributed neural representations of instincts in the hypothalamus

bioRxiv

Stefanos Stagkourakis

Giada Spigolon

Markus Marks

Michael Feyder

Joseph Kim

...

2023/12/7

Spatial implicit neural representations for global-scale species mapping

Elijah Cole

Grant Van Horn

Christian Lange

Alexander Shepard

Patrick Leary

...

2023/7/3

A Foundation Model for Cell Segmentation

bioRxiv

Uriah Israel

Markus Marks

Rohit Dilip

Qilin Li

Morgan Schwartz

...

2023/11/20

Understanding Label Bias in Single Positive Multi-Label Learning

arXiv preprint arXiv:2305.15584

Julio Arroyo

Pietro Perona

Elijah Cole

2023/5/24

Generation of synthetic image data with varied attributes

2023/10/17

Towards weakly-supervised text spotting using a multi-task transformer

Yair Kittenplon

Inbal Lavi

Sharon Fogel

Yarin Bar

R Manmatha

...

2022

Systems and methods for online annotation of source data using skill estimation

2022/9/20

On label granularity and object localization

Elijah Cole

Kimberly Wilber

Grant Van Horn

Xuan Yang

Marco Fornoni

...

2022/10/23

Self-supervised keypoint discovery in behavioral videos

Jennifer J Sun

Serim Ryou

Roni H Goldshmid

Brandon Weissbourd

John O Dabiri

...

2022

Automated model selection for network-based image recognition service

2022/8/30

The Caltech Fish Counting dataset: a benchmark for multiple-object tracking and counting

Justin Kay

Peter Kulits

Suzanne Stathatos

Siqi Deng

Erik Young

...

2022/10/23

See List of Professors in Pietro Perona University(California Institute of Technology)

Co-Authors

H-index: 194
Andrew Zisserman

Andrew Zisserman

University of Oxford

H-index: 144
Li Fei-Fei

Li Fei-Fei

Stanford University

H-index: 102
Max Welling

Max Welling

Universiteit van Amsterdam

H-index: 94
Stefano Soatto

Stefano Soatto

University of California, Los Angeles

H-index: 84
Deva Ramanan

Deva Ramanan

Carnegie Mellon University

H-index: 83
Rob Fergus

Rob Fergus

New York University

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