Piotr Dollár

According to our database, Piotr Dollár authored at least 66 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

The effectiveness of MAE pre-pretraining for billion-scale pretraining.

Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Segment Anything.

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloé Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross B. Girshick

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Revisiting Weakly Supervised Pre-Training of Visual Perception Models.

Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Masked Autoencoders Are Scalable Vision Learners.

Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Benchmarking Detection Transfer Learning with Vision Transformers.

Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick

CoRR, 2021

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details.

Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick

CoRR, 2021

Early Convolutions Help Transformers See Better.

Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast and Accurate Model Scaling.

Piotr Dollár, Mannat Singh, Ross B. Girshick

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation.

Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Focal Loss for Dense Object Detection.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Mask R-CNN.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Are Labels Necessary for Neural Architecture Search?

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Designing Network Design Spaces.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

On Network Design Spaces for Visual Recognition.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Rethinking ImageNet Pre-Training.

Kaiming He, Ross B. Girshick, Piotr Dollár

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

TensorMask: A Foundation for Dense Object Segmentation.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Panoptic Segmentation.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Panoptic Feature Pyramid Networks.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

LVIS: A Dataset for Large Vocabulary Instance Segmentation.

Agrim Gupta, Piotr Dollár, Ross B. Girshick

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Data Distillation: Towards Omni-Supervised Learning.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Segment Every Thing.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Detecting and Recognizing Human-Object Interactions.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

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

CoRR, 2017

Semantic Amodal Segmentation.

Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Aggregated Residual Transformations for Deep Neural Networks.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Features by Watching Objects Move.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Feature Pyramid Networks for Object Detection.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

What Makes for Effective Detection Proposals?

Jan Hendrik Hosang, Rodrigo Benenson, Piotr Dollár, Bernt Schiele

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Metric Learning with Adaptive Density Discrimination.

Oren Rippel, Manohar Paluri, Piotr Dollár, Lubomir D. Bourdev

Proceedings of the 4th International Conference on Learning Representations, 2016

Learning to Refine Object Segments.

Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár

Proceedings of the Computer Vision - ECCV 2016, 2016

Unsupervised Learning of Edges.

Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A MultiPath Network for Object Detection.

Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Fast Edge Detection Using Structured Forests.

Piotr Dollár, C. Lawrence Zitnick

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Microsoft COCO Captions: Data Collection and Evaluation Server.

Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick

CoRR, 2015

Learning to Segment Object Candidates.

Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

From captions to visual concepts and back.

Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Fast Feature Pyramids for Object Detection.

Piotr Dollár, Ron Appel, Serge J. Belongie, Pietro Perona

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations.

Zhuowen Tu, Piotr Dollár, Yingnian Wu

CoRR, 2014

Local Decorrelation For Improved Detection.

Woonhyun Nam, Piotr Dollár, Joon Hee Han

CoRR, 2014

Microsoft COCO: Common Objects in Context.

Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick

CoRR, 2014

Local Decorrelation For Improved Pedestrian Detection.

Woonhyun Nam, Piotr Dollár, Joon Hee Han

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Edge Boxes: Locating Object Proposals from Edges.

C. Lawrence Zitnick, Piotr Dollár

Proceedings of the Computer Vision - ECCV 2014, 2014

Microsoft COCO: Common Objects in Context.

Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick

Proceedings of the Computer Vision - ECCV 2014, 2014

Detecting Objects Using Deformation Dictionaries.

Bharath Hariharan, C. Lawrence Zitnick, Piotr Dollár

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Quickly Boosting Decision Trees - Pruning Underachieving Features Early.

Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona

Proceedings of the 30th International Conference on Machine Learning, 2013

Structured Forests for Fast Edge Detection.

Piotr Dollár, C. Lawrence Zitnick

Proceedings of the IEEE International Conference on Computer Vision, 2013

Robust Face Landmark Estimation under Occlusion.

Xavier P. Burgos-Artizzu, Pietro Perona, Piotr Dollár

Proceedings of the IEEE International Conference on Computer Vision, 2013

Exploring Weak Stabilization for Motion Feature Extraction.

Dennis Park, C. Lawrence Zitnick, Deva Ramanan, Piotr Dollár

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection.

Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Merging Pose Estimates Across Space and Time.

Xavier P. Burgos-Artizzu, David Hall, Pietro Perona, Piotr Dollár

Proceedings of the British Machine Vision Conference, 2013

2012

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

Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Crosstalk Cascades for Frame-Rate Pedestrian Detection.

Piotr Dollár, Ron Appel, Wolf Kienzle

Proceedings of the Computer Vision - ECCV 2012, 2012

Social behavior recognition in continuous video.

Xavier P. Burgos-Artizzu, Piotr Dollár, Dayu Lin, David J. Anderson, Pietro Perona

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Multiple Instance Learning with Manifold Bags.

Boris Babenko, Nakul Verma, Piotr Dollár, Serge J. Belongie

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Cascaded pose regression.

Piotr Dollár, Peter Welinder, Pietro Perona

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

The Fastest Pedestrian Detector in the West.

Piotr Dollár, Serge J. Belongie, Pietro Perona

Proceedings of the British Machine Vision Conference, 2010

2009

Pedestrian detection: A benchmark.

Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Integral Channel Features.

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

Proceedings of the British Machine Vision Conference, 2009

2008

Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models.

Zhuowen Tu, Katherine L. Narr, Piotr Dollár, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga

IEEE Trans. Medical Imaging, 2008

Multiple Component Learning for Object Detection.

Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu

Proceedings of the Computer Vision, 2008

2007

Learning from local image regions.

Piotr Dollár

PhD thesis, 2007

Non-isometric manifold learning: analysis and an algorithm.

Piotr Dollár, Vincent C. Rabaud, Serge J. Belongie

Proceedings of the Machine Learning, 2007

Task Specific Local Region Matching.

Boris Babenko, Piotr Dollár, Serge J. Belongie

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Feature Mining for Image Classification.

Piotr Dollár, Zhuowen Tu, Hai Tao, Serge J. Belongie

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Learning to Traverse Image Manifolds.

Piotr Dollár, Serge J. Belongie, Vincent C. Rabaud

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Supervised Learning of Edges and Object Boundaries.

Piotr Dollár, Zhuowen Tu, Serge J. Belongie

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006