Alert button
Picture for Ross Girshick

Ross Girshick

Alert button

Actions and Attributes from Wholes and Parts

May 05, 2015
Georgia Gkioxari, Ross Girshick, Jitendra Malik

Figure 1 for Actions and Attributes from Wholes and Parts
Figure 2 for Actions and Attributes from Wholes and Parts
Figure 3 for Actions and Attributes from Wholes and Parts
Figure 4 for Actions and Attributes from Wholes and Parts
Viaarxiv icon

Hypercolumns for Object Segmentation and Fine-grained Localization

Apr 25, 2015
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik

Figure 1 for Hypercolumns for Object Segmentation and Fine-grained Localization
Figure 2 for Hypercolumns for Object Segmentation and Fine-grained Localization
Figure 3 for Hypercolumns for Object Segmentation and Fine-grained Localization
Figure 4 for Hypercolumns for Object Segmentation and Fine-grained Localization
Viaarxiv icon

Microsoft COCO: Common Objects in Context

Feb 21, 2015
Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollár

Figure 1 for Microsoft COCO: Common Objects in Context
Figure 2 for Microsoft COCO: Common Objects in Context
Figure 3 for Microsoft COCO: Common Objects in Context
Figure 4 for Microsoft COCO: Common Objects in Context
Viaarxiv icon

Inferring 3D Object Pose in RGB-D Images

Feb 16, 2015
Saurabh Gupta, Pablo Arbeláez, Ross Girshick, Jitendra Malik

Figure 1 for Inferring 3D Object Pose in RGB-D Images
Figure 2 for Inferring 3D Object Pose in RGB-D Images
Figure 3 for Inferring 3D Object Pose in RGB-D Images
Figure 4 for Inferring 3D Object Pose in RGB-D Images
Viaarxiv icon

LSDA: Large Scale Detection Through Adaptation

Nov 01, 2014
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko

Figure 1 for LSDA: Large Scale Detection Through Adaptation
Figure 2 for LSDA: Large Scale Detection Through Adaptation
Figure 3 for LSDA: Large Scale Detection Through Adaptation
Figure 4 for LSDA: Large Scale Detection Through Adaptation
Viaarxiv icon

Rich feature hierarchies for accurate object detection and semantic segmentation

Oct 22, 2014
Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

Figure 1 for Rich feature hierarchies for accurate object detection and semantic segmentation
Figure 2 for Rich feature hierarchies for accurate object detection and semantic segmentation
Figure 3 for Rich feature hierarchies for accurate object detection and semantic segmentation
Figure 4 for Rich feature hierarchies for accurate object detection and semantic segmentation
Viaarxiv icon

Deformable Part Models are Convolutional Neural Networks

Oct 01, 2014
Ross Girshick, Forrest Iandola, Trevor Darrell, Jitendra Malik

Figure 1 for Deformable Part Models are Convolutional Neural Networks
Figure 2 for Deformable Part Models are Convolutional Neural Networks
Figure 3 for Deformable Part Models are Convolutional Neural Networks
Figure 4 for Deformable Part Models are Convolutional Neural Networks
Viaarxiv icon

Analyzing the Performance of Multilayer Neural Networks for Object Recognition

Sep 22, 2014
Pulkit Agrawal, Ross Girshick, Jitendra Malik

Figure 1 for Analyzing the Performance of Multilayer Neural Networks for Object Recognition
Figure 2 for Analyzing the Performance of Multilayer Neural Networks for Object Recognition
Figure 3 for Analyzing the Performance of Multilayer Neural Networks for Object Recognition
Figure 4 for Analyzing the Performance of Multilayer Neural Networks for Object Recognition
Viaarxiv icon

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

Jul 22, 2014
Saurabh Gupta, Ross Girshick, Pablo Arbeláez, Jitendra Malik

Figure 1 for Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Figure 2 for Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Figure 3 for Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Figure 4 for Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Viaarxiv icon

Part-based R-CNNs for Fine-grained Category Detection

Jul 15, 2014
Ning Zhang, Jeff Donahue, Ross Girshick, Trevor Darrell

Figure 1 for Part-based R-CNNs for Fine-grained Category Detection
Figure 2 for Part-based R-CNNs for Fine-grained Category Detection
Figure 3 for Part-based R-CNNs for Fine-grained Category Detection
Figure 4 for Part-based R-CNNs for Fine-grained Category Detection
Viaarxiv icon