Ross Girshick

Exploring Randomly Wired Neural Networks for Image Recognition

Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He

Comments Technical report

Rethinking ImageNet Pre-training

Kaiming He, Ross Girshick, Piotr Dollár

Comments Technical report

Exploring the Limits of Weakly Supervised Pretraining

Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

Comments Technical report

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He

Comments Tech report (v2: correct typos)

Non-local Neural Networks

Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He

Comments CVPR 2018, code is available at: https://github.com/facebookresearch/video-nonlocal-net

Low-Shot Learning from Imaginary Data

Yu-Xiong Wang, Ross Girshick, Martial Hebert, Bharath Hariharan

Comments CVPR 2018 camera-ready version

Learning to Segment Every Thing

Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick

Detecting and Recognizing Human-Object Interactions

Georgia Gkioxari, Ross Girshick, Piotr Dollár, Kaiming He

Focal Loss for Dense Object Detection

Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár

Mask R-CNN

Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick

Comments open source; appendix on more results

Data Distillation: Towards Omni-Supervised Learning

Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, Kaiming He

Comments tech report

Learning by Asking Questions

Ishan Misra, Ross Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten

LSDA: Large Scale Detection Through Adaptation

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

Journal ref Neural Information Processing Systems (NIPS) 2014

Low-shot Visual Recognition by Shrinking and Hallucinating Features

Bharath Hariharan, Ross Girshick

Comments ICCV 2017 spotlight

Inferring and Executing Programs for Visual Reasoning

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

Feature Pyramid Networks for Object Detection

Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie

Learning Features by Watching Objects Move

Deepak Pathak, Ross Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan

Comments CVPR 2017

Aggregated Residual Transformations for Deep Neural Networks

Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He

Comments Accepted to CVPR 2017. Code and models: https://github.com/facebookresearch/ResNeXt

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

Object Detection Networks on Convolutional Feature Maps

Shaoqing Ren, Kaiming He, Ross Girshick, Xiangyu Zhang, Jian Sun

Comments To appear in TPAMI; substantial re-writing over the original post at arXiv of April 2015. COCO competition results included

Reducing Overfitting in Deep Networks by Decorrelating Representations

Michael Cogswell, Faruk Ahmed, Ross Girshick, Larry Zitnick, Dhruv Batra

Comments 12 pages, 5 figures, 5 tables, Accepted to ICLR 2016, (v4 adds acknowledgements)

Unsupervised Deep Embedding for Clustering Analysis

Junyuan Xie, Ross Girshick, Ali Farhadi

Comments icml2016

You Only Look Once: Unified, Real-Time Object Detection

Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi

Visual Storytelling

Ting-Hao, Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell

Comments to appear in NAACL 2016

Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks

Junyuan Xie, Ross Girshick, Ali Farhadi

Training Region-based Object Detectors with Online Hard Example Mining

Abhinav Shrivastava, Abhinav Gupta, Ross Girshick

Comments To appear in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (oral)

Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels

Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross Girshick

Comments To appear in CVPR 2016

Contextual Action Recognition with R*CNN

Georgia Gkioxari, Ross Girshick, Jitendra Malik

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun

Comments Extended tech report

Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks

Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross Girshick