Piotr Dollár

According to our database1, Piotr Dollár authored at least 69 papers between 2006 and 2019.

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Bibliography

2019
TensorMask: A Foundation for Dense Object Segmentation.
CoRR, 2019

Panoptic Feature Pyramid Networks.
CoRR, 2019

2018
Rethinking ImageNet Pre-training.
CoRR, 2018

Panoptic Segmentation.
CoRR, 2018

Data Distillation: Towards Omni-Supervised Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Segment Every Thing.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Detecting and Recognizing Human-Object Interactions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Data Distillation: Towards Omni-Supervised Learning.
CoRR, 2017

Learning to Segment Every Thing.
CoRR, 2017

Focal Loss for Dense Object Detection.
CoRR, 2017

Mask R-CNN.
CoRR, 2017

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.
CoRR, 2017

Detecting and Recognizing Human-Object Interactions.
CoRR, 2017

Focal Loss for Dense Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Mask R-CNN.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Semantic Amodal Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Aggregated Residual Transformations for Deep Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Features by Watching Objects Move.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Feature Pyramid Networks for Object Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
What Makes for Effective Detection Proposals?
IEEE Trans. Pattern Anal. Mach. Intell., 2016

A MultiPath Network for Object Detection.
CoRR, 2016

Aggregated Residual Transformations for Deep Neural Networks.
CoRR, 2016

Metric Learning with Adaptive Density Discrimination.
Proceedings of the 4th International Conference on Learning Representations, 2016

Learning to Refine Object Segments.
CoRR, 2016

Learning Features by Watching Objects Move.
CoRR, 2016

Feature Pyramid Networks for Object Detection.
CoRR, 2016

Learning to Refine Object Segments.
Proceedings of the Computer Vision - ECCV 2016, 2016

Unsupervised Learning of Edges.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A MultiPath Network for Object Detection.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Fast Edge Detection Using Structured Forests.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Semantic Amodal Segmentation.
CoRR, 2015

Learning to Segment Object Candidates.
CoRR, 2015

Unsupervised Learning of Edges.
CoRR, 2015

What makes for effective detection proposals?
CoRR, 2015

Microsoft COCO Captions: Data Collection and Evaluation Server.
CoRR, 2015

Learning to Segment Object Candidates.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Fast Feature Pyramids for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations.
CoRR, 2014

Local Decorrelation For Improved Detection.
CoRR, 2014

Microsoft COCO: Common Objects in Context.
CoRR, 2014

From Captions to Visual Concepts and Back.
CoRR, 2014

Fast Edge Detection Using Structured Forests.
CoRR, 2014

Local Decorrelation For Improved Pedestrian Detection.
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.
Proceedings of the Computer Vision - ECCV 2014, 2014

Microsoft COCO: Common Objects in Context.
Proceedings of the Computer Vision - ECCV 2014, 2014

Detecting Objects Using Deformation Dictionaries.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Quickly Boosting Decision Trees - Pruning Underachieving Features Early.
Proceedings of the 30th International Conference on Machine Learning, 2013

Structured Forests for Fast Edge Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Robust Face Landmark Estimation under Occlusion.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Exploring Weak Stabilization for Motion Feature Extraction.
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.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Merging Pose Estimates Across Space and Time.
Proceedings of the British Machine Vision Conference, 2013

2012
Pedestrian Detection: An Evaluation of the State of the Art.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Crosstalk Cascades for Frame-Rate Pedestrian Detection.
Proceedings of the Computer Vision - ECCV 2012, 2012

Social behavior recognition in continuous video.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Multiple Instance Learning with Manifold Bags.
Proceedings of the 28th International Conference on Machine Learning, 2011

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

The Fastest Pedestrian Detector in the West.
Proceedings of the British Machine Vision Conference, 2010

2009
Pedestrian detection: A benchmark.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Integral Channel Features.
Proceedings of the British Machine Vision Conference, 2009

2008
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models.
IEEE Trans. Med. Imaging, 2008

Multiple Component Learning for Object Detection.
Proceedings of the Computer Vision, 2008

2007
Learning from local image regions.
PhD thesis, 2007

Non-isometric manifold learning: analysis and an algorithm.
Proceedings of the Machine Learning, 2007

Task Specific Local Region Matching.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Feature Mining for Image Classification.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Learning to Traverse Image Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Supervised Learning of Edges and Object Boundaries.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006


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