R
Ross Girshick
Researcher at Facebook
Publications - 170
Citations - 336844
Ross Girshick is an academic researcher from Facebook. The author has contributed to research in topics: Object detection & Convolutional neural network. The author has an hindex of 97, co-authored 166 publications receiving 231744 citations. Previous affiliations of Ross Girshick include University of Washington & Carnegie Mellon University.
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Proceedings ArticleDOI
Contextual Action Recognition with R*CNN
TL;DR: This work exploits the simple observation that actions are accompanied by contextual cues to build a strong action recognition system and adapt RCNN to use more than one region for classification while still maintaining the ability to localize the action.
Posted Content
PointRend: Image Segmentation as Rendering
TL;DR: The PointRend (Point-based Rendering) neural network module is presented: a module that performs point-based segmentation predictions at adaptively selected locations based on an iterative subdivision algorithm that enables output resolutions that are otherwise impractical in terms of memory or computation compared to existing approaches.
Proceedings Article
Object Detection with Grammar Models
TL;DR: A grammar model for person detection is developed and it outperforms previous high-performance systems on the PASCAL benchmark and introduces a new discriminative framework for learning structured prediction models from weakly-labeled data.
Proceedings ArticleDOI
Aligning 3D models to RGB-D images of cluttered scenes
TL;DR: This work first detecting and segmenting object instances in the scene and then using a convolutional neural network to predict the pose of the object, which is trained using pixel surface normals in images containing renderings of synthetic objects.
Proceedings ArticleDOI
Exploring Randomly Wired Neural Networks for Image Recognition
TL;DR: The results suggest that new efforts focusing on designing better network generators may lead to new breakthroughs by exploring less constrained search spaces with more room for novel design.