Ross Girshick

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http://mscoco.org Ross Girshick Microsoft Research Tsung-Yi Lin Cornell Tech Michael Maire TTI Chicago Serge Belongie Cornell Tech Lubomir Bourdev Facebook James Hays Brown University Pietro Perona Caltech Deva Ramanan UC Irvine Piotr Dollar Microsoft Research Larry Zitnick Microsoft Research

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Tsung-Yi Lin. Cornell Tech. Deva Ramanan. James Hays. Larry Zitnick. Pietro Perona. Serge Belongie. Piotr Dollar. Michael Maire. Lubomir Bourdev. Facebook. Microsoft Research. UC Irvine. Microsoft Research. Brown University. Cornell Tech. TTI Chicago. Caltech. Ross Girshick. - PowerPoint PPT Presentation

Transcript of Ross Girshick

Page 1: Ross Girshick

http://mscoco.org

Ross GirshickMicrosoft Research

Tsung-Yi LinCornell Tech

Michael MaireTTI Chicago

Serge Belongie

Cornell Tech

Lubomir Bourdev

FacebookJames HaysBrown University

Pietro PeronaCaltech

Deva Ramanan

UC IrvinePiotr DollarMicrosoft Research

Larry ZitnickMicrosoft Research

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http://mscoco.org

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http://mscoco.org

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http://mscoco.org

Instance segmentation Non-iconic Images

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http://mscoco.org

Non-iconic images

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http://mscoco.org

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http://mscoco.org

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http://mscoco.org

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http://mscoco.org

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http://mscoco.org

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http://mscoco.org

Sentences

Beyond detection

Collecting Image Annotations Using Amazon’s Mechanical Turk, C. Rashtchian, P. Young, M. Hodosh, J. Hockenmaier, NAACL HLT Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk, 2010

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http://mscoco.org

Beyond detection

Keypoints (provided by Facebook)

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http://mscoco.org

http://mscoco.org

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http://mscoco.org

MS COCO 2014 release(half of COCO)

• 160k images• 80 object categories (things not stuff) • 1M+ instances (300k people)• Every instance segmented• 5 sentences per image• Separate train and validation set

Over 77,000 worker hours (8+ years)

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http://mscoco.org

MS COCO 2015(full release)

http://mscoco.org

Early 2015

• 80-100 object categories • 330k images• 2M+ instances (700k people)• Every instance segmented• 5 sentences per image• Keypoint annotations

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http://mscoco.org

http://mscoco.org

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http://mscoco.org

Algorithm Evaluation

Still debating…

The metric should be: • Simple• Relevant• Robust

• IoU on the segmentations• Small objects• % contour• Scores that work for bboxes

and segmentations• Types of instances?• Leaderboard• Challenge?

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http://mscoco.org

Visit mscoco.org

Ross GirshickMicrosoft Research

Tsung-Yi LinCornell Tech

Michael MaireTTI Chicago

Serge Belongie

Cornell Tech

Lubomir Bourdev

FacebookJames HaysBrown University

Pietro PeronaCaltech

Deva Ramanan

UC IrvinePiotr DollarMicrosoft Research

Larry ZitnickMicrosoft Research


Object detection, deep learning, and R-CNNs · Object detection, deep learning, and R-CNNs Partly from Ross Girshick Microsoft Research Now at Facebook. ... Slides by Pete Barnum

Object detection, deep learning, and R-CNNs · Object detection, deep learning, and R-CNNs Partly from Ross Girshick Microsoft Research Now at Facebook. ... Slides by Pete Barnum

Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.

Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.

Faster R-CNN: Towards Real-Time Object Detection … Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick, and Jian

Faster R-CNN: Towards Real-Time Object Detection … Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick, and Jian

Fast R-CNN Object detection with Caffe · Teaser: Faster R-CNN Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. Microsoft Research •The detection network also proposes objects

Fast R-CNN Object detection with Caffe · Teaser: Faster R-CNN Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. Microsoft Research •The detection network also proposes objects

Object detection, deep learning, and R- CNNs Ross Girshick Microsoft Research Guest lecture for UW CSE 455 Nov. 24, 2014.

Object detection, deep learning, and R- CNNs Ross Girshick Microsoft Research Guest lecture for UW CSE 455 Nov. 24, 2014.

R-CNN for Object Detection - courses.cs.washington.edu · 2014-10-20 · R-CNN for Object Detection Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik (UC Berkeley) presented

R-CNN for Object Detection - courses.cs.washington.edu · 2014-10-20 · R-CNN for Object Detection Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik (UC Berkeley) presented

RICH FEATURE HIERARCHIES FOR ACCURATE OBJECT DETECTION AND SEMANTIC SEGMENTATION Ross Girshick, Jeff Donahue, Trevor Darrell, Jitandra Malik (UC Berkeley)

RICH FEATURE HIERARCHIES FOR ACCURATE OBJECT DETECTION AND SEMANTIC SEGMENTATION Ross Girshick, Jeff Donahue, Trevor Darrell, Jitandra Malik (UC Berkeley)

Object Detection with Discriminatively Trained Part Based Models Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan IEEE Trans.

Object Detection with Discriminatively Trained Part Based Models Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan IEEE Trans.

CS230: Lecture 5cs230.stanford.edu/files_fall2017/CS230_Handout6.pdf · Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik: ... (2014) Kian Katanforoosh, Andrew Ng R-CNN (Regions

CS230: Lecture 5cs230.stanford.edu/files_fall2017/CS230_Handout6.pdf · Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik: ... (2014) Kian Katanforoosh, Andrew Ng R-CNN (Regions

Mask R-CNN - openaccess.thecvf.comopenaccess.thecvf.com/content_ICCV_2017/papers/He_Mask_R-CNN_… · Mask R-CNN Kaiming He Georgia Gkioxari Piotr Doll´ar Ross Girshick Facebook

Mask R-CNN - openaccess.thecvf.comopenaccess.thecvf.com/content_ICCV_2017/papers/He_Mask_R-CNN_… · Mask R-CNN Kaiming He Georgia Gkioxari Piotr Doll´ar Ross Girshick Facebook

Tech report (v5) - arXiv · Rich feature hierarchies for accurate object detection and semantic segmentation Tech report (v5) Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik

Tech report (v5) - arXiv · Rich feature hierarchies for accurate object detection and semantic segmentation Tech report (v5) Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik

Object Detection Networks on Convolutional Feature · PDF file1 Object Detection Networks on Convolutional Feature Maps Shaoqing Ren, Kaiming He, Ross Girshick, Xiangyu Zhang, and

Object Detection Networks on Convolutional Feature · PDF file1 Object Detection Networks on Convolutional Feature Maps Shaoqing Ren, Kaiming He, Ross Girshick, Xiangyu Zhang, and

Faster R-CNN: Towards Real-Time Object Detection … · 1 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick, and

Faster R-CNN: Towards Real-Time Object Detection … · 1 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick, and

Supplementary Material for DepthLab: Real-time 3D ......Software and Technology (UIST). ACM, 14. [6]Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. 2017. Mask R-CNN.

Supplementary Material for DepthLab: Real-time 3D ......Software and Technology (UIST). ACM, 14. [6]Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. 2017. Mask R-CNN.

Detection, Segmentation and Fine-grained Localization Bharath Hariharan, Pablo Arbeláez, Ross Girshick and Jitendra Malik UC Berkeley.

Detection, Segmentation and Fine-grained Localization Bharath Hariharan, Pablo Arbeláez, Ross Girshick and Jitendra Malik UC Berkeley.

2D Human Pose Estimationimi.ntu.edu.sg/NewsEvents/Events/PastSeminars/Documents/... · 2017-08-11 · Reference: Ross Girshick, Deformable part models, UC Berkeley CS231B Stanford

2D Human Pose Estimationimi.ntu.edu.sg/NewsEvents/Events/PastSeminars/Documents/... · 2017-08-11 · Reference: Ross Girshick, Deformable part models, UC Berkeley CS231B Stanford

Fast R-CNN Object detection with Caffe · 2015-07-21 · Teaser: Faster R-CNN Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. Microsoft Research •The detection network also proposes

Fast R-CNN Object detection with Caffe · 2015-07-21 · Teaser: Faster R-CNN Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. Microsoft Research •The detection network also proposes

Learning by Asking Questions - arXiv · Learning by Asking Questions Ishan Misra1 Ross Girshick 2Rob Fergus Martial Hebert 1Abhinav Gupta Laurens van der Maaten2 1Carnegie Mellon

Learning by Asking Questions - arXiv · Learning by Asking Questions Ishan Misra1 Ross Girshick 2Rob Fergus Martial Hebert 1Abhinav Gupta Laurens van der Maaten2 1Carnegie Mellon

Tech report (v5) · Tech report (v5) Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik UC Berkeley frbg,jdonahue,trevor,malikg@eecs.berkeley.edu Abstract Object detection performance,

Tech report (v5) · Tech report (v5) Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik UC Berkeley frbg,jdonahue,trevor,[email protected] Abstract Object detection performance,

Making Object Detection Work - NVIDIAon-demand.gputechconf.com/gtc-il/2017/presentation/sil... · 2017-10-31 · Deep Learning and Object Detection Tutorial by Ross Girshick and Kaiming

Making Object Detection Work - NVIDIAon-demand.gputechconf.com/gtc-il/2017/presentation/sil... · 2017-10-31 · Deep Learning and Object Detection Tutorial by Ross Girshick and Kaiming