Ross B. Girshick

According to our database, Ross B. Girshick authored at least 97 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

The effectiveness of MAE pre-pretraining for billion-scale pretraining.

Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Segment Anything.

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloé Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross B. Girshick

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Exploring Plain Vision Transformer Backbones for Object Detection.

Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He

Proceedings of the Computer Vision - ECCV 2022, 2022

Revisiting Weakly Supervised Pre-Training of Visual Perception Models.

Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Masked Autoencoders Are Scalable Vision Learners.

Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Benchmarking Detection Transfer Learning with Vision Transformers.

Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick

CoRR, 2021

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details.

Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick

CoRR, 2021

Early Convolutions Help Transformers See Better.

Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PyTorchVideo: A Deep Learning Library for Video Understanding.

Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning.

Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fast and Accurate Model Scaling.

Piotr Dollár, Mannat Singh, Ross B. Girshick

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation.

Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Focal Loss for Dense Object Detection.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Mask R-CNN.

Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Improved Baselines with Momentum Contrastive Learning.

Xinlei Chen, Haoqi Fan, Ross B. Girshick, Kaiming He

CoRR, 2020

Large Scale Weakly and Semi-Supervised Learning for Low-Resource Video ASR.

Kritika Singh, Vimal Manohar, Alex Xiao, Sergey Edunov, Ross B. Girshick, Vitaliy Liptchinsky, Christian Fuegen, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed

Proceedings of the Interspeech 2020, 2020

Training ASR Models By Generation of Contextual Information.

Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Are Labels Necessary for Neural Architecture Search?

Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie

Proceedings of the Computer Vision - ECCV 2020, 2020

A Multigrid Method for Efficiently Training Video Models.

Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Designing Network Design Spaces.

Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PointRend: Image Segmentation As Rendering.

Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Momentum Contrast for Unsupervised Visual Representation Learning.

Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

PHYRE: A New Benchmark for Physical Reasoning.

Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exploring Randomly Wired Neural Networks for Image Recognition.

Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Rethinking ImageNet Pre-Training.

Kaiming He, Ross B. Girshick, Piotr Dollár

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

TensorMask: A Foundation for Dense Object Segmentation.

Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Long-Term Feature Banks for Detailed Video Understanding.

Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Panoptic Segmentation.

Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Panoptic Feature Pyramid Networks.

Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

LVIS: A Dataset for Large Vocabulary Instance Segmentation.

Agrim Gupta, Piotr Dollár, Ross B. Girshick

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Exploring the Limits of Weakly Supervised Pretraining.

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

Proceedings of the Computer Vision - ECCV 2018, 2018

Low-Shot Learning From Imaginary Data.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Data Distillation: Towards Omni-Supervised Learning.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning by Asking Questions.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Segment Every Thing.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Detecting and Recognizing Human-Object Interactions.

Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Non-Local Neural Networks.

Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Object Detection Networks on Convolutional Feature Maps.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2017

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

Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns.

Bharath Hariharan, Pablo Arbeláez, Ross B. Girshick, Jitendra Malik

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Editorial- Deep Learning for Computer Vision.

Ross B. Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang, Shuicheng Yan, Alan L. Yuille

Comput. Vis. Image Underst., 2017

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

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

CoRR, 2017

Inferring and Executing Programs for Visual Reasoning.

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

Proceedings of the IEEE International Conference on Computer Vision, 2017

Low-Shot Visual Recognition by Shrinking and Hallucinating Features.

Bharath Hariharan, Ross B. Girshick

Proceedings of the IEEE International Conference on Computer Vision, 2017

Aggregated Residual Transformations for Deep Neural Networks.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Features by Watching Objects Move.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Feature Pyramid Networks for Object Detection.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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 B. Girshick

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

The three R's of computer vision: Recognition, reconstruction and reorganization.

Jitendra Malik, Pablo Andrés Arbeláez, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani

Pattern Recognit. Lett., 2016

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation.

Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Low-shot visual object recognition.

Bharath Hariharan, Ross B. Girshick

CoRR, 2016

Reducing Overfitting in Deep Networks by Decorrelating Representations.

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

Proceedings of the 4th International Conference on Learning Representations, 2016

Visual Storytelling.

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

Proceedings of the NAACL HLT 2016, 2016

Unsupervised Deep Embedding for Clustering Analysis.

Junyuan Xie, Ross B. Girshick, Ali Farhadi

Proceedings of the 33nd International Conference on Machine Learning, 2016

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

Junyuan Xie, Ross B. Girshick, Ali Farhadi

Proceedings of the Computer Vision - ECCV 2016, 2016

Training Region-Based Object Detectors with Online Hard Example Mining.

Abhinav Shrivastava, Abhinav Gupta, Ross B. Girshick

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, Ali Farhadi

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Generalized Sparselet Models for Real-Time Multiclass Object Recognition.

Hyun Oh Song, Ross B. Girshick, Stefan Zickler, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation.

Saurabh Gupta, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik

Int. J. Comput. Vis., 2015

Learning Visual Classifiers using Human-centric Annotations.

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

CoRR, 2015

Inferring 3D Object Pose in RGB-D Images.

Saurabh Gupta, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik

CoRR, 2015

Exploring Nearest Neighbor Approaches for Image Captioning.

Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick

CoRR, 2015

Actions and Attributes from Wholes and Parts.

Georgia Gkioxari, Ross B. Girshick, Jitendra Malik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Contextual Action Recognition with R*CNN.

Georgia Gkioxari, Ross B. Girshick, Jitendra Malik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Fast R-CNN.

Ross B. Girshick

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Hypercolumns for object segmentation and fine-grained localization.

Bharath Hariharan, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Aligning 3D models to RGB-D images of cluttered scenes.

Saurabh Gupta, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Deformable part models are convolutional neural networks.

Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

One-Bit Object Detection: On learning to localize objects with minimal supervision.

Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell

CoRR, 2014

Microsoft COCO: Common Objects in Context.

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

CoRR, 2014

DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.

Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer

CoRR, 2014

LSDA: Large Scale Detection Through Adaptation.

Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko

CoRR, 2014

R-CNNs for Pose Estimation and Action Detection.

Georgia Gkioxari, Bharath Hariharan, Ross B. Girshick, Jitendra Malik

CoRR, 2014

LSDA: Large Scale Detection through Adaptation.

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

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Caffe: Convolutional Architecture for Fast Feature Embedding.

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

On learning to localize objects with minimal supervision.

Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell

Proceedings of the 31th International Conference on Machine Learning, 2014

Part-Based R-CNNs for Fine-Grained Category Detection.

Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2014, 2014

Simultaneous Detection and Segmentation.

Bharath Hariharan, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2014, 2014

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

Saurabh Gupta, Ross B. Girshick, Pablo Andrés Arbeláez, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2014, 2014

Analyzing the Performance of Multilayer Neural Networks for Object Recognition.

Pulkit Agrawal, Ross B. Girshick, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2014, 2014

Understanding Objects in Detail with Fine-Grained Attributes.

Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Using k-Poselets for Detecting People and Localizing Their Keypoints.

Georgia Gkioxari, Bharath Hariharan, Ross B. Girshick, Jitendra Malik

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.

Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Efficient Human Pose Estimation from Single Depth Images.

Jamie Shotton, Ross B. Girshick, Andrew W. Fitzgibbon, Toby Sharp, Mat Cook, Mark Finocchio, Richard Moore, Pushmeet Kohli, Antonio Criminisi, Alex Kipman, Andrew Blake

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Visual object detection with deformable part models.

Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan

Commun. ACM, 2013

Discriminatively Activated Sparselets.

Ross B. Girshick, Hyun Oh Song, Trevor Darrell

Proceedings of the 30th International Conference on Machine Learning, 2013

Training Deformable Part Models with Decorrelated Features.

Ross B. Girshick, Jitendra Malik

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Sparselet Models for Efficient Multiclass Object Detection.

Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Object Detection with Grammar Models.

Ross B. Girshick, Pedro F. Felzenszwalb, David A. McAllester

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Efficient regression of general-activity human poses from depth images.

Ross B. Girshick, Jamie Shotton, Pushmeet Kohli, Antonio Criminisi, Andrew W. Fitzgibbon

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Object Detection with Discriminatively Trained Part-Based Models.

Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Discriminative Latent Variable Models for Object Detection.

Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Cascade object detection with deformable part models.

Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester

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

2009

Visibility constraints on features of 3D objects.

Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshick, David W. Jacobs, Caroline J. Klivans

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2004

Simulating Chinese brush painting: the parametric hairy brush.

Ross B. Girshick

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004