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Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
113
Citations
151271
World Ranking
195
National Ranking
112

Research.com Recognitions

  • 2023 - Research.com Computer Science in United States Leader Award
  • 2021 - IEEE Fellow For contributions to visual recognition algorithms and datasets

Overview

Pietro Perona is affiliated with the California Institute of Technology in the United States and works primarily in the field of Computer Science. Their research focuses on several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Ecology, and Cell Biology.

The main topics of Pietro Perona's work include:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Face Recognition and Analysis
  • Human Pose and Action Recognition
  • Face and Expression Recognition
  • Advanced Image and Video Retrieval Techniques
  • Zebrafish Biomedical Research Applications

Frequent coauthors in Pietro Perona's publications are:

  • Elijah Cole
  • Oisin Mac Aodha
  • Neehar Kondapaneni
  • Grant Van Horn
  • Markus Marks

Regarding publication venues, Pietro Perona has contributed extensively to:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal of Computer Vision

Selected recent papers include:

  • "Caltech-UCSD Birds-200-2011 Dataset" (2024) published in The Caltech Institute Archives (California Institute of Technology)
  • "RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection" (2024) published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration" (2021) published in eLife
  • "Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Computer Vision in the Operating Room: Opportunities and Caveats" (2020) published in IEEE Transactions on Medical Robotics and Bionics

Pietro Perona was named an IEEE Fellow in 2021 for contributions to visual recognition algorithms and datasets.

Best Publications

  • Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin;Michael Maire;Serge J. Belongie;James Hays

  • Scale-space and edge detection using anisotropic diffusion

    P. Perona;J. Malik

  • A Bayesian hierarchical model for learning natural scene categories

    L. Fei-Fei;P. Perona

  • Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories

    Li Fei-Fei;R. Fergus;P. Perona

  • Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories

    Li Fei-Fei;Rob Fergus;Pietro Perona

  • Graph-Based Visual Saliency

    Jonathan Harel;Christof Koch;Pietro Perona

  • Pedestrian Detection: An Evaluation of the State of the Art

    P. Dollar;C. Wojek;B. Schiele;P. Perona

  • The Caltech-UCSD Birds-200-2011 Dataset

    Catherine Wah;Steve Branson;Peter Welinder;Pietro Perona

  • One-shot learning of object categories

    Li Fei-Fei;R. Fergus;P. Perona

  • Object class recognition by unsupervised scale-invariant learning

    R. Fergus;P. Perona;A. Zisserman

  • Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin;Michael Maire;Serge Belongie;Lubomir Bourdev

  • Caltech-256 Object Category Dataset

    Gregory Griffin;Alex Holub;Pietro Perona

  • Fast Feature Pyramids for Object Detection

    Piotr Dollar;Ron Appel;Serge Belongie;Pietro Perona

  • Self-Tuning Spectral Clustering

    Lihi Zelnik-manor;Pietro Perona

  • Pedestrian detection: A benchmark

    Piotr Dollar;Christian Wojek;Bernt Schiele;Pietro Perona

  • Integral Channel Features

    Piotr Dollár;Zhuowen Tu;Pietro Perona;Serge J. Belongie

  • Preattentive texture discrimination with early vision mechanisms

    Jitendra Malik;Pietro Perona

  • The iNaturalist Species Classification and Detection Dataset

    Grant Van Horn;Oisin Mac Aodha;Yang Song;Yin Cui

  • The Multidimensional Wisdom of Crowds

    Peter Welinder;Steve Branson;Pietro Perona;Serge J. Belongie

  • Rapid natural scene categorization in the near absence of attention

    Fei Fei Li;Rufin VanRullen;Christof Koch;Pietro Perona

  • Caltech-UCSD Birds 200

    Peter Welinder;Steve Branson;Takeshi Mita;Catherine Wah

Frequent Co-Authors

Serge Belongie
Serge Belongie University of Copenhagen
Stefano Soatto
Stefano Soatto University of California, Los Angeles
David J. Anderson
David J. Anderson California Institute of Technology
Christof Koch
Christof Koch Allen Institute for Brain Science
Piotr Dollar
Piotr Dollar Facebook (United States)
Andrew Zisserman
Andrew Zisserman University of Oxford
Michael C. Burl
Michael C. Burl Jet Propulsion Lab
Rob Fergus
Rob Fergus New York University
Jitendra Malik
Jitendra Malik University of California, Berkeley
Max Welling
Max Welling University of Amsterdam

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