World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
205327
World Ranking
2813
National Ranking
1389

Overview

Piotr Dollar is a researcher affiliated with Facebook, based in the United States. Their work is primarily situated within the field of Computer Science, with a focus on several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, and Biophysics.

Their research portfolio spans various topics, which include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Machine Learning and Data Classification
  • Visual Attention and Saliency Detection
  • COVID-19 diagnosis using AI

Piotr Dollar's recent publications illustrate a broad engagement with both foundational and applied machine learning research. Notable papers include:

  • "RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection" (2024), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Segment Anything" (2023), published on arXiv (Cornell University)
  • "Early Convolutions Help Transformers See Better" (2021), published on arXiv (Cornell University)
  • "SAM 2: Segment Anything in Images and Videos" (2024), published on arXiv (Cornell University)
  • "Masked Autoencoders Are Scalable Vision Learners" (2021), published on arXiv (Cornell University)

The publication venues where Piotr Dollar frequently contributes include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Collaborations form a significant part of their research productivity. Frequent co-authors include:

  • Ross Girshick
  • Laura Gustafson
  • Kaiming He
  • Saining Xie
  • Mannat Singh

Best Publications

  • Microsoft COCO: Common Objects in Context

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

  • Mask R-CNN

    Kaiming He;Georgia Gkioxari;Piotr Dollar;Ross Girshick

  • Feature Pyramid Networks for Object Detection

    Tsung-Yi Lin;Piotr Dollar;Ross Girshick;Kaiming He

  • Focal Loss for Dense Object Detection

    Tsung-Yi Lin;Priya Goyal;Ross Girshick;Kaiming He

  • Aggregated Residual Transformations for Deep Neural Networks

    Saining Xie;Ross Girshick;Piotr Dollar;Zhuowen Tu

  • Focal Loss for Dense Object Detection

    Tsung-Yi Lin;Priya Goyal;Ross Girshick;Kaiming He

  • Mask R-CNN

    Kaiming He;Georgia Gkioxari;Piotr Dollar;Ross Girshick

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

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

  • Behavior recognition via sparse spatio-temporal features

    P. Dollar;V. Rabaud;G. Cottrell;S. Belongie

  • Edge Boxes: Locating Object Proposals from Edges

    C. Lawrence Zitnick;Piotr Dollár

  • Microsoft COCO: Common Objects in Context

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

  • Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

    Priya Goyal;Piotr Dollár;Ross B. Girshick;Pieter Noordhuis

  • Fast Feature Pyramids for Object Detection

    Piotr Dollar;Ron Appel;Serge Belongie;Pietro Perona

  • Microsoft COCO Captions: Data Collection and Evaluation Server

    Xinlei Chen;Hao Fang;Tsung-Yi Lin;Ramakrishna Vedantam

  • Segment Anything

    Unknown

  • Pedestrian detection: A benchmark

    Piotr Dollar;Christian Wojek;Bernt Schiele;Pietro Perona

  • Integral Channel Features

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

  • From captions to visual concepts and back

    Hao Fang;Saurabh Gupta;Forrest Iandola;Rupesh K. Srivastava

  • Designing Network Design Spaces

    Ilija Radosavovic;Raj Prateek Kosaraju;Ross Girshick;Kaiming He

  • Panoptic Feature Pyramid Networks

    Alexander Kirillov;Ross Girshick;Kaiming He;Piotr Dollar

  • Panoptic Segmentation

    Alexander Kirillov;Kaiming He;Ross Girshick;Carsten Rother

Frequent Co-Authors

Ross Girshick
Ross Girshick Facebook (United States)
Kaiming He
Kaiming He Facebook (United States)
Pietro Perona
Pietro Perona California Institute of Technology
Serge Belongie
Serge Belongie University of Copenhagen
Tsung-Yi Lin
Tsung-Yi Lin Nvidia (United States)
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Ronan Collobert
Ronan Collobert Facebook (United States)
Lubomir Bourdev
Lubomir Bourdev WaveOne, Inc.
David J. Anderson
David J. Anderson California Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science and related fields opens up a variety of career pathways, from software development to tech leadership roles. One key consideration is affordability—many students and professionals are seeking the affordable online masters programs to advance their skills without incurring heavy debt.

For those aiming for leadership or specialized roles, pursuing advanced online credentials is a valuable option. For example, the online doctorate leadership track can provide the management expertise needed for top positions in tech organizations. If lowering cost is a priority, consider looking into the cheapest accredited online doctoral programs, which balance quality education with affordability.

Not everyone needs a graduate degree; many start their journey with an associate’s qualification. There are several choices—even among the best associates degrees to get—that provide foundational skills for entry-level tech jobs or serve as a stepping stone to further study.

No matter your career goals, a wide range of online degrees and flexible pathways can help you reach them—while saving on costs and accommodating your schedule.

Best Scientists Citing Piotr Dollar

Trending Scientists

Recently Published Articles