Simulating Chinese brush painting: the parametric hairy brush. - Ross B. Girshick (SIGGRAPH Posters, 2004)

Simulating Chinese brush painting: a geometric model. - Ross B. Girshick (J. Comput. Sci. Coll., 2004)

Visibility constraints on features of 3D objects. - Ronen Basri; Pedro F. Felzenszwalb; Ross B. Girshick; David W. Jacobs; Caroline J. Klivans (CVPR, 2009)

Cascade object detection with deformable part models. - Pedro F. Felzenszwalb; Ross B. Girshick; David A. McAllester (CVPR, 2010)

Discriminative Latent Variable Models for Object Detection. - Pedro F. Felzenszwalb; Ross B. Girshick; David A. McAllester; Deva Ramanan (ICML, 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)

Efficient regression of general-activity human poses from depth images. - Ross B. Girshick; Jamie Shotton; Pushmeet Kohli; Antonio Criminisi; Andrew W. Fitzgibbon (ICCV, 2011)

Object Detection with Grammar Models. - Ross B. Girshick; Pedro F. Felzenszwalb; David A. McAllester (NIPS, 2011)

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 (ECCV (2), 2012)

Training Deformable Part Models with Decorrelated Features. - Ross B. Girshick; Jitendra Malik (ICCV, 2013)

Discriminatively Activated Sparselets. - Ross B. Girshick; Hyun Oh Song; Trevor Darrell (ICML (1), 2013)

Visual object detection with deformable part models. - Pedro F. Felzenszwalb; Ross B. Girshick; David A. McAllester; Deva Ramanan (Commun. ACM, 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 003; Pushmeet Kohli; Antonio Criminisi; Alex Kipman; Andrew Blake 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. - Ross B. Girshick; Jeff Donahue; Trevor Darrell; Jitendra Malik (CVPR, 2014)

Using k-Poselets for Detecting People and Localizing Their Keypoints. - Georgia Gkioxari; Bharath Hariharan; Ross B. Girshick; Jitendra Malik (CVPR, 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; et al. (CVPR, 2014)

Analyzing the Performance of Multilayer Neural Networks for Object Recognition. - Pulkit Agrawal 001; Ross B. Girshick; Jitendra Malik (ECCV (7), 2014)

Learning Rich Features from RGB-D Images for Object Detection and Segmentation. - Saurabh Gupta 001; Ross B. Girshick; Pablo Andrés Arbeláez; Jitendra Malik (ECCV (7), 2014)

Simultaneous Detection and Segmentation. - Bharath Hariharan; Pablo Andrés Arbeláez; Ross B. Girshick; Jitendra Malik (ECCV (7), 2014)

Part-Based R-CNNs for Fine-Grained Category Detection. - Ning Zhang 014; Jeff Donahue; Ross B. Girshick; Trevor Darrell (ECCV (1), 2014)

On learning to localize objects with minimal supervision. - Hyun Oh Song; Ross B. Girshick; Stefanie Jegelka; Julien Mairal; Zaïd Harchaoui; Trevor Darrell (ICML, 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 (ACM Multimedia, 2014)

LSDA: Large Scale Detection through Adaptation. - Judy Hoffman; Sergio Guadarrama; Eric Tzeng; Ronghang Hu; Jeff Donahue; Ross B. Girshick; Trevor Darrell; Kate Saenko (NIPS, 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; Jeff Donahue; Ross B. Girshick; Trevor Darrell; Kate Saenko (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)

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)

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)

Deformable part models are convolutional neural networks. - Ross B. Girshick; Forrest N. Iandola; Trevor Darrell; Jitendra Malik (CVPR, 2015)

Aligning 3D models to RGB-D images of cluttered scenes. - Saurabh Gupta 001; Pablo Andrés Arbeláez; Ross B. Girshick; Jitendra Malik (CVPR, 2015)

Hypercolumns for object segmentation and fine-grained localization. - Bharath Hariharan; Pablo Andrés Arbeláez; Ross B. Girshick; Jitendra Malik (CVPR, 2015)

Fast R-CNN. - Ross B. Girshick (ICCV, 2015)

Contextual Action Recognition with R*CNN. - Georgia Gkioxari; Ross B. Girshick; Jitendra Malik (ICCV, 2015)

Actions and Attributes from Wholes and Parts. - Georgia Gkioxari; Ross B. Girshick; Jitendra Malik (ICCV, 2015)

Exploring Nearest Neighbor Approaches for Image Captioning. - Jacob Devlin; Saurabh Gupta 001; Ross B. Girshick; Margaret Mitchell; C. Lawrence Zitnick (CoRR, 2015)

Inferring 3D Object Pose in RGB-D Images. - Saurabh Gupta 001; Pablo Andrés Arbeláez; Ross B. Girshick; Jitendra Malik (CoRR, 2015)

Learning Visual Classifiers using Human-centric Annotations. - Ishan Misra; C. Lawrence Zitnick; Margaret Mitchell; Ross B. Girshick (CoRR, 2015)

Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation. - Saurabh Gupta 001; Pablo Andrés Arbeláez; Ross B. Girshick; Jitendra Malik (Int. J. Comput. Vis., 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)

Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks. - Sean Bell; C. Lawrence Zitnick; Kavita Bala; Ross B. Girshick (CVPR, 2016)

Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. - Ishan Misra; C. Lawrence Zitnick; Margaret Mitchell; Ross B. Girshick (CVPR, 2016)

You Only Look Once: Unified, Real-Time Object Detection. - Joseph Redmon; Santosh Kumar Divvala; Ross B. Girshick; Ali Farhadi (CVPR, 2016)

Training Region-Based Object Detectors with Online Hard Example Mining. - Abhinav Shrivastava; Abhinav Gupta 001; Ross B. Girshick (CVPR, 2016)

Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks. - Junyuan Xie; Ross B. Girshick; Ali Farhadi (ECCV (4), 2016)

Unsupervised Deep Embedding for Clustering Analysis. - Junyuan Xie; Ross B. Girshick; Ali Farhadi (ICML, 2016)

Visual Storytelling. - Ting-Hao (Kenneth) Huang; Francis Ferraro; Nasrin Mostafazadeh; Ishan Misra; Aishwarya Agrawal; Jacob Devlin; Ross B. Girshick; Xiaodong He 001; Pushmeet Kohli; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh; et al. (HLT-NAACL, 2016)

Reducing Overfitting in Deep Networks by Decorrelating Representations. - Michael Cogswell; Faruk Ahmed; Ross B. Girshick; Larry Zitnick; Dhruv Batra (ICLR (Poster), 2016)

Low-shot visual object recognition. - Bharath Hariharan; Ross B. Girshick (CoRR, 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)

The three R's of computer vision: Recognition, reconstruction and reorganization. - Jitendra Malik; Pablo Andrés Arbeláez; João Carreira 001; Katerina Fragkiadaki; Ross B. Girshick; Georgia Gkioxari; Saurabh Gupta 001; Bharath Hariharan; Abhishek Kar; Shubham Tulsiani (Pattern Recognit. Lett., 2016)

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Li Fei-Fei 001; C. Lawrence Zitnick; Ross B. Girshick (CVPR, 2017)

Feature Pyramid Networks for Object Detection. - Tsung-Yi Lin; Piotr Dollár; Ross B. Girshick; Kaiming He; Bharath Hariharan; Serge J. Belongie (CVPR, 2017)

Learning Features by Watching Objects Move. - Deepak Pathak; Ross B. Girshick; Piotr Dollár; Trevor Darrell; Bharath Hariharan (CVPR, 2017)

Aggregated Residual Transformations for Deep Neural Networks. - Saining Xie; Ross B. Girshick; Piotr Dollár; Zhuowen Tu; Kaiming He (CVPR, 2017)

Low-Shot Visual Recognition by Shrinking and Hallucinating Features. - Bharath Hariharan; Ross B. Girshick (ICCV, 2017)

Inferring and Executing Programs for Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Judy Hoffman; Li Fei-Fei 001; C. Lawrence Zitnick; Ross B. Girshick (ICCV, 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)

Editorial- Deep Learning for Computer Vision. - Ross B. Girshick; Iasonas Kokkinos; Ivan Laptev; Jitendra Malik; George Papandreou; Andrea Vedaldi; Xiaogang Wang 001; Shuicheng Yan; Alan L. Yuille (Comput. Vis. Image Underst., 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)

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. - Shaoqing Ren; Kaiming He; Ross B. Girshick; Jian Sun 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Object Detection Networks on Convolutional Feature Maps. - Shaoqing Ren; Kaiming He; Ross B. Girshick; Xiangyu Zhang 005; Jian Sun 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Non-Local Neural Networks. - Xiaolong Wang 004; Ross B. Girshick; Abhinav Gupta 001; Kaiming He (CVPR, 2018)

Detecting and Recognizing Human-Object Interactions. - Georgia Gkioxari; Ross B. Girshick; Piotr Dollár; Kaiming He (CVPR, 2018)

Learning to Segment Every Thing. - Ronghang Hu; Piotr Dollár; Kaiming He; Trevor Darrell; Ross B. Girshick (CVPR, 2018)

Learning by Asking Questions. - Ishan Misra; Ross B. Girshick; Rob Fergus; Martial Hebert; Abhinav Gupta 001; Laurens van der Maaten (CVPR, 2018)

Data Distillation: Towards Omni-Supervised Learning. - Ilija Radosavovic; Piotr Dollár; Ross B. Girshick; Georgia Gkioxari; Kaiming He (CVPR, 2018)

Low-Shot Learning From Imaginary Data. - Yu-Xiong Wang; Ross B. Girshick; Martial Hebert; Bharath Hariharan (CVPR, 2018)

Exploring the Limits of Weakly Supervised Pretraining. - Dhruv Mahajan 001; Ross B. Girshick; Vignesh Ramanathan; Kaiming He; Manohar Paluri; Yixuan Li 001; Ashwin Bharambe; Laurens van der Maaten (ECCV (2), 2018)

LVIS: A Dataset for Large Vocabulary Instance Segmentation. - Agrim Gupta; Piotr Dollár; Ross B. Girshick (CVPR, 2019)

Panoptic Feature Pyramid Networks. - Alexander Kirillov; Ross B. Girshick; Kaiming He; Piotr Dollár (CVPR, 2019)

Panoptic Segmentation. - Alexander Kirillov; Kaiming He; Ross B. Girshick; Carsten Rother; Piotr Dollár (CVPR, 2019)

Long-Term Feature Banks for Detailed Video Understanding. - Chao-Yuan Wu; Christoph Feichtenhofer; Haoqi Fan 001; Kaiming He; Philipp Krähenbühl; Ross B. Girshick (CVPR, 2019)

TensorMask: A Foundation for Dense Object Segmentation. - Xinlei Chen; Ross B. Girshick; Kaiming He; Piotr Dollár (ICCV, 2019)

Rethinking ImageNet Pre-Training. - Kaiming He; Ross B. Girshick; Piotr Dollár (ICCV, 2019)

Exploring Randomly Wired Neural Networks for Image Recognition. - Saining Xie; Alexander Kirillov; Ross B. Girshick; Kaiming He (ICCV, 2019)

PHYRE: A New Benchmark for Physical Reasoning. - Anton Bakhtin; Laurens van der Maaten; Justin Johnson 001; Laura Gustafson; Ross B. Girshick (NeurIPS, 2019)

Momentum Contrast for Unsupervised Visual Representation Learning. - Kaiming He; Haoqi Fan 001; Yuxin Wu; Saining Xie; Ross B. Girshick (CVPR, 2020)

PointRend: Image Segmentation As Rendering. - Alexander Kirillov; Yuxin Wu; Kaiming He; Ross B. Girshick (CVPR, 2020)

Designing Network Design Spaces. - Ilija Radosavovic; Raj Prateek Kosaraju; Ross B. Girshick; Kaiming He; Piotr Dollár (CVPR, 2020)

A Multigrid Method for Efficiently Training Video Models. - Chao-Yuan Wu; Ross B. Girshick; Kaiming He; Christoph Feichtenhofer; Philipp Krähenbühl (CVPR, 2020)

Are Labels Necessary for Neural Architecture Search? - Chenxi Liu 001; Piotr Dollár; Kaiming He; Ross B. Girshick; Alan L. Yuille; Saining Xie (ECCV (4), 2020)

Training ASR Models By Generation of Contextual Information. - Kritika Singh; Dmytro Okhonko; Jun Liu; Yongqiang Wang 005; Frank Zhang 001; Ross B. Girshick; Sergey Edunov; Fuchun Peng; Yatharth Saraf; Geoffrey Zweig; Abdelrahman Mohamed (ICASSP, 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 (INTERSPEECH, 2020)

Improved Baselines with Momentum Contrastive Learning. - Xinlei Chen; Haoqi Fan 001; Ross B. Girshick; Kaiming He (CoRR, 2020)

Mask R-CNN. - Kaiming He; Georgia Gkioxari; Piotr Dollár; Ross B. Girshick (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. - Bowen Cheng; Ross B. Girshick; Piotr Dollár; Alexander C. Berg; Alexander Kirillov (CVPR, 2021)

Fast and Accurate Model Scaling. - Piotr Dollár; Mannat Singh; Ross B. Girshick (CVPR, 2021)

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. - Christoph Feichtenhofer; Haoqi Fan 001; Bo Xiong; Ross B. Girshick; Kaiming He (CVPR, 2021)

PyTorchVideo: A Deep Learning Library for Video Understanding. - Haoqi Fan 001; Tullie Murrell; Heng Wang; Kalyan Vasudev Alwala; Yanghao Li; Yilei Li; Bo Xiong; Nikhila Ravi; Meng Li 004; Haichuan Yang; Jitendra Malik; Ross B. Girshick; et al. (ACM Multimedia, 2021)

Early Convolutions Help Transformers See Better. - Tete Xiao; Mannat Singh; Eric Mintun; Trevor Darrell; Piotr Dollár; Ross B. Girshick (NeurIPS, 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)

Benchmarking Detection Transfer Learning with Vision Transformers. - Yanghao Li; Saining Xie; Xinlei Chen; Piotr Dollár; Kaiming He; Ross B. Girshick (CoRR, 2021)

Masked Autoencoders Are Scalable Vision Learners. - Kaiming He; Xinlei Chen; Saining Xie; Yanghao Li; Piotr Dollár; Ross B. Girshick (CVPR, 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 001; Ross B. Girshick; Piotr Dollár; Laurens van der Maaten (CVPR, 2022)

Exploring Plain Vision Transformer Backbones for Object Detection. - Yanghao Li; Hanzi Mao; Ross B. Girshick; Kaiming He (ECCV (9), 2022)

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 (ICCV, 2023)

The effectiveness of MAE pre-pretraining for billion-scale pretraining. - Mannat Singh; Quentin Duval; Kalyan Vasudev Alwala; Haoqi Fan 001; Vaibhav Aggarwal; Aaron Adcock; Armand Joulin; Piotr Dollár; Christoph Feichtenhofer; Ross B. Girshick; Rohit Girdhar; Ishan Misra (ICCV, 2023)

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators. - Kuo-Hao Zeng; Zichen Zhang 016; Kiana Ehsani; Rose Hendrix; Jordi Salvador; Alvaro Herrasti; Ross B. Girshick; Aniruddha Kembhavi; Luca Weihs (CoRL, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)

SAM 2: Segment Anything in Images and Videos. - Nikhila Ravi; Valentin Gabeur; Yuan-Ting Hu; Ronghang Hu; Chaitanya Ryali; Tengyu Ma 005; Haitham Khedr; Roman Rädle; Chloé Rolland; Laura Gustafson; Eric Mintun; Junting Pan; et al. (ICLR, 2025)

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Fei-Fei Li 001; C. Lawrence Zitnick; Ross B. Girshick (Zenodo, 2025)