Piotr Dollár

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Facebook AI Research

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focus on computer vision and machine learning.

Papers70 papers

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Designing Network Design Spaces

Ilija Radosavovic,Raj Prateek Kosaraju,Ross Girshick,Kaiming He,Piotr Dollár

CVPR, pp.10425-10433, (2020)

Cited by16EIBibtex

Are Labels Necessary for Neural Architecture Search

Liu Chenxi,Dollár Piotr,He Kaiming,Girshick Ross,Yuille Alan,Xie Saining

european conference on computer vision, pp.798-813, (2020)

Cited by3Bibtex

On Network Design Spaces for Visual Recognition

Ilija Radosavovic,Justin Johnson,Saining Xie, Wan-Yen Lo,Piotr Dollár

International Conference on Computer Vision, (2019): 1882-1890

Cited by6EIBibtex

Panoptic Feature Pyramid Networks

Alexander Kirillov,Ross B. Girshick,Kaiming He,Piotr Dollár

CVPR, (2019)

Cited by143EIBibtex

On Network Design Spaces for Visual Recognition

Ilija Radosavovic, Justin Johnson,Saining Xie, Wan-Yen Lo,Piotr Dollár

ICCV, pp.1882-1890, (2019)

Cited by6EIBibtex

Rethinking ImageNet Pre-Training

Kaiming He,Ross B. Girshick,Piotr Dollár

ICCV, pp.4917-4926, (2019)

Cited by185EIBibtex

TensorMask - A Foundation for Dense Object Segmentation

Xinlei Chen,Ross B. Girshick,Kaiming He,Piotr Dollár

ICCV, pp.2061-2069, (2019)

Cited by38EIBibtex

Panoptic Segmentation

Alexander Kirillov,Kaiming He,Ross B. Girshick,Carsten Rother,Piotr Dollár

CVPR, (2019)

Cited by204EIBibtex

TensorMask: A Foundation for Dense Object Segmentation

Xinlei Chen,Ross B. Girshick,Kaiming He,Piotr Dollár

International Conference on Computer Vision, (2019): 2061-2069

Cited by53EIBibtex

LVIS - A Dataset for Large Vocabulary Instance Segmentation

Agrim Gupta,Piotr Dollár,Ross B. Girshick

CVPR, pp.5356-5364, (2019)

Cited by51EIBibtex

Data Distillation: Towards Omni-Supervised Learning

Ilija Radosavovic,Piotr Dollár,Ross B. Girshick,Georgia Gkioxari,Kaiming He

computer vision and pattern recognition, (2018)

Cited by158EIBibtex

Detecting and Recognizing Human-Object Interactions

Georgia Gkioxari,Ross B. Girshick,Piotr Dollár,Kaiming He

computer vision and pattern recognition, (2018)

Cited by187EIBibtex

Learning to Segment Every Thing

Ronghang Hu,Piotr Dollár,Kaiming He,Trevor Darrell,Ross B. Girshick

computer vision and pattern recognition, (2018)

Cited by154EIBibtex

Rethinking ImageNet Pre-training

Kaiming He,Ross B. Girshick,Piotr Dollár

CoRR, (2018)

Cited by230EIBibtex

Learning Features by Watching Objects Move

Deepak Pathak,Ross B. Girshick,Piotr Dollár,Trevor Darrell,Bharath Hariharan

CVPR, (2017)

Cited by276EIBibtex

Aggregated Residual Transformations for Deep Neural Networks

Saining Xie,Ross B. Girshick,Piotr Dollár,Zhuowen Tu,Kaiming He

CVPR, (2017)

Cited by2788EIBibtex

Feature Pyramid Networks for Object Detection

Tsung-Yi Lin,Piotr Dollár,Ross B. Girshick,Kaiming He,Bharath Hariharan,Serge J. Belongie

CVPR, (2017)

Cited by4484EIBibtex

Semantic Amodal Segmentation

Yan Zhu,Yuandong Tian, Dimitris Mexatas,Piotr Dollar

CVPR, (2017)

Cited by48EIBibtex

Focal Loss for Dense Object Detection

Tsung-Yi Lin,Priya Goyal,Ross B. Girshick,Kaiming He,Piotr Dollár

ICCV, no. 2 (2017): 318-327

Cited by4245EIWOSBibtex

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Priya Goyal,Piotr Dollár,Ross B. Girshick,Pieter Noordhuis, Lukasz Wesolowski,Aapo Kyrola, Andrew Tulloch,Yangqing Jia,Kaiming He

arXiv: Computer Vision and Pattern Recognition, (2017)

Cited by1190EIBibtex

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