Piotr Dollár

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 59

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

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
The effectiveness of MAE pre-pretraining for billion-scale pretraining. CoRR (2023)
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
Segment Anything. CoRR (2023)
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
The effectiveness of MAE pre-pretraining for billion-scale pretraining. ICCV (2023)
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
Segment Anything. ICCV (2023)
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
Revisiting Weakly Supervised Pre-Training of Visual Perception Models. CoRR (2022)
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
Masked Autoencoders Are Scalable Vision Learners. CVPR (2022)
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
Revisiting Weakly Supervised Pre-Training of Visual Perception Models. CVPR (2022)
Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. CoRR (2021)
Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick
Benchmarking Detection Transfer Learning with Vision Transformers. CoRR (2021)
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
Masked Autoencoders Are Scalable Vision Learners. CoRR (2021)
Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick
Early Convolutions Help Transformers See Better. NeurIPS (2021)
Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CoRR (2021)
Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick
Early Convolutions Help Transformers See Better. CoRR (2021)
Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CVPR (2021)
Piotr Dollár, Mannat Singh, Ross B. Girshick
Fast and Accurate Model Scaling. CoRR (2021)
Piotr Dollár, Mannat Singh, Ross B. Girshick
Fast and Accurate Model Scaling. CVPR (2021)
Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
Are Labels Necessary for Neural Architecture Search? ECCV (4) (2020)
Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár
Designing Network Design Spaces. CVPR (2020)
Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár
Designing Network Design Spaces. CoRR (2020)
Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
Are Labels Necessary for Neural Architecture Search? CoRR (2020)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
Mask R-CNN. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Agrim Gupta, Piotr Dollár, Ross B. Girshick
LVIS: A Dataset for Large Vocabulary Instance Segmentation. CoRR (2019)
Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár
TensorMask: A Foundation for Dense Object Segmentation. ICCV (2019)
Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
On Network Design Spaces for Visual Recognition. CoRR (2019)
Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
Panoptic Feature Pyramid Networks. CoRR (2019)
Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár
TensorMask: A Foundation for Dense Object Segmentation. CoRR (2019)
Kaiming He, Ross B. Girshick, Piotr Dollár
Rethinking ImageNet Pre-Training. ICCV (2019)
Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
Panoptic Feature Pyramid Networks. CVPR (2019)
Agrim Gupta, Piotr Dollár, Ross B. Girshick
LVIS: A Dataset for Large Vocabulary Instance Segmentation. CVPR (2019)
Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
Panoptic Segmentation. CVPR (2019)
Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
On Network Design Spaces for Visual Recognition. ICCV (2019)
Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He
Detecting and Recognizing Human-Object Interactions. CVPR (2018)
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick
Learning to Segment Every Thing. CVPR (2018)
Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He
Data Distillation: Towards Omni-Supervised Learning. CVPR (2018)
Kaiming He, Ross B. Girshick, Piotr Dollár
Rethinking ImageNet Pre-training. CoRR (2018)
Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
Panoptic Segmentation. CoRR (2018)
Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan
Learning Features by Watching Objects Move. CVPR (2017)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. CoRR (2017)
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick
Learning to Segment Every Thing. CoRR (2017)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. ICCV (2017)
Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. CoRR (2017)
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
Mask R-CNN. CoRR (2017)
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
Mask R-CNN. ICCV (2017)
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
Feature Pyramid Networks for Object Detection. CVPR (2017)
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
Aggregated Residual Transformations for Deep Neural Networks. CVPR (2017)
Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He
Data Distillation: Towards Omni-Supervised Learning. CoRR (2017)
Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár
Semantic Amodal Segmentation. CVPR (2017)
Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He
Detecting and Recognizing Human-Object Interactions. CoRR (2017)
Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan
Learning Features by Watching Objects Move. CoRR (2016)
Oren Rippel, Manohar Paluri, Piotr Dollár, Lubomir D. Bourdev
Metric Learning with Adaptive Density Discrimination. ICLR (Poster) (2016)
Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
Learning to Refine Object Segments. ECCV (1) (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. CoRR (2016)
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
Feature Pyramid Networks for Object Detection. CoRR (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. BMVC (2016)
Pedro H. O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
Learning to Refine Object Segments. CoRR (2016)
Jan Hendrik Hosang, Rodrigo Benenson, Piotr Dollár, Bernt Schiele
What Makes for Effective Detection Proposals? IEEE Trans. Pattern Anal. Mach. Intell. 38 (4) (2016)
Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár
Unsupervised Learning of Edges. CVPR (2016)
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
Aggregated Residual Transformations for Deep Neural Networks. CoRR (2016)
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick
Microsoft COCO Captions: Data Collection and Evaluation Server. CoRR (2015)
Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár
Learning to Segment Object Candidates. CoRR (2015)
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
From captions to visual concepts and back. CVPR (2015)
Jan Hendrik Hosang, Rodrigo Benenson, Piotr Dollár, Bernt Schiele
What makes for effective detection proposals? CoRR (2015)
Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár
Unsupervised Learning of Edges. CoRR (2015)
Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár
Learning to Segment Object Candidates. NIPS (2015)
Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár
Semantic Amodal Segmentation. CoRR (2015)
Piotr Dollár, C. Lawrence Zitnick
Fast Edge Detection Using Structured Forests. IEEE Trans. Pattern Anal. Mach. Intell. 37 (8) (2015)
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
From Captions to Visual Concepts and Back. CoRR (2014)
Piotr Dollár, C. Lawrence Zitnick
Fast Edge Detection Using Structured Forests. CoRR (2014)
Zhuowen Tu, Piotr Dollár, Yingnian Wu
Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations. CoRR (2014)
Woonhyun Nam, Piotr Dollár, Joon Hee Han
Local Decorrelation For Improved Pedestrian Detection. NIPS (2014)
C. Lawrence Zitnick, Piotr Dollár
Edge Boxes: Locating Object Proposals from Edges. ECCV (5) (2014)
Bharath Hariharan, C. Lawrence Zitnick, Piotr Dollár
Detecting Objects Using Deformation Dictionaries. CVPR (2014)
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
Microsoft COCO: Common Objects in Context. ECCV (5) (2014)
Piotr Dollár, Ron Appel, Serge J. Belongie, Pietro Perona
Fast Feature Pyramids for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 36 (8) (2014)
Woonhyun Nam, Piotr Dollár, Joon Hee Han
Local Decorrelation For Improved Detection. CoRR (2014)
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
Microsoft COCO: Common Objects in Context. CoRR (2014)
Piotr Dollár, C. Lawrence Zitnick
Structured Forests for Fast Edge Detection. ICCV (2013)
Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona
Quickly Boosting Decision Trees - Pruning Underachieving Features Early. ICML (3) (2013)
Xavier P. Burgos-Artizzu, David Hall, Pietro Perona, Piotr Dollár
Merging Pose Estimates Across Space and Time. BMVC (2013)
Dennis Park, C. Lawrence Zitnick, Deva Ramanan, Piotr Dollár
Exploring Weak Stabilization for Motion Feature Extraction. CVPR (2013)
Xavier P. Burgos-Artizzu, Pietro Perona, Piotr Dollár
Robust Face Landmark Estimation under Occlusion. ICCV (2013)
Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. CVPR (2013)
Xavier P. Burgos-Artizzu, Piotr Dollár, Dayu Lin, David J. Anderson, Pietro Perona
Social behavior recognition in continuous video. CVPR (2012)
Piotr Dollár, Ron Appel, Wolf Kienzle
Crosstalk Cascades for Frame-Rate Pedestrian Detection. ECCV (2) (2012)
Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona
Pedestrian Detection: An Evaluation of the State of the Art. IEEE Trans. Pattern Anal. Mach. Intell. 34 (4) (2012)
Boris Babenko, Nakul Verma, Piotr Dollár, Serge J. Belongie
Multiple Instance Learning with Manifold Bags. ICML (2011)
Piotr Dollár, Peter Welinder, Pietro Perona
Cascaded pose regression. CVPR (2010)
Piotr Dollár, Serge J. Belongie, Pietro Perona
The Fastest Pedestrian Detector in the West. BMVC (2010)
Piotr Dollár, Zhuowen Tu, Pietro Perona, Serge J. Belongie
Integral Channel Features. BMVC (2009)
Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona
Pedestrian detection: A benchmark. CVPR (2009)
Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu
Multiple Component Learning for Object Detection. ECCV (2) (2008)
Zhuowen Tu, Katherine Narr, Piotr Dollár, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models. IEEE Trans. Medical Imaging 27 (4) (2008)
Piotr Dollár, Vincent C. Rabaud, Serge J. Belongie
Non-isometric manifold learning: analysis and an algorithm. ICML (2007)
Piotr Dollár, Zhuowen Tu, Hai Tao, Serge J. Belongie
Feature Mining for Image Classification. CVPR (2007)
Boris Babenko, Piotr Dollár, Serge J. Belongie
Task Specific Local Region Matching. ICCV (2007)
Piotr Dollár, Zhuowen Tu, Serge J. Belongie
Supervised Learning of Edges and Object Boundaries. CVPR (2) (2006)
Piotr Dollár, Serge J. Belongie, Vincent C. Rabaud
Learning to Traverse Image Manifolds. NIPS (2006)

Piotr Dollár.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Piotr Dollár