default search action
Ross B. Girshick
Person information
- affiliation: University of California, Berkeley, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [i74]Kuo-Hao Zeng, Zichen Zhang, Kiana Ehsani, Rose Hendrix, Jordi Salvador, Alvaro Herrasti, Ross B. Girshick, Aniruddha Kembhavi, Luca Weihs:
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators. CoRR abs/2406.20083 (2024) - [i73]Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer:
SAM 2: Segment Anything in Images and Videos. CoRR abs/2408.00714 (2024) - [i72]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - 2023
- [c74]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:
Segment Anything. ICCV 2023: 3992-4003 - [c73]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:
The effectiveness of MAE pre-pretraining for billion-scale pretraining. ICCV 2023: 5461-5471 - [i71]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:
The effectiveness of MAE pre-pretraining for billion-scale pretraining. CoRR abs/2303.13496 (2023) - [i70]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:
Segment Anything. CoRR abs/2304.02643 (2023) - 2022
- [c72]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:
Revisiting Weakly Supervised Pre-Training of Visual Perception Models. CVPR 2022: 794-804 - [c71]Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick:
Masked Autoencoders Are Scalable Vision Learners. CVPR 2022: 15979-15988 - [c70]Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He:
Exploring Plain Vision Transformer Backbones for Object Detection. ECCV (9) 2022: 280-296 - [i69]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:
Revisiting Weakly Supervised Pre-Training of Visual Perception Models. CoRR abs/2201.08371 (2022) - [i68]Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He:
Exploring Plain Vision Transformer Backbones for Object Detection. CoRR abs/2203.16527 (2022) - 2021
- [c69]Piotr Dollár, Mannat Singh, Ross B. Girshick:
Fast and Accurate Model Scaling. CVPR 2021: 924-932 - [c68]Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He:
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CVPR 2021: 3299-3309 - [c67]Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov:
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CVPR 2021: 15334-15342 - [c66]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:
PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia 2021: 3783-3786 - [c65]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. NeurIPS 2021: 30392-30400 - [i67]Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick:
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. CoRR abs/2102.01066 (2021) - [i66]Piotr Dollár, Mannat Singh, Ross B. Girshick:
Fast and Accurate Model Scaling. CoRR abs/2103.06877 (2021) - [i65]Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov:
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CoRR abs/2103.16562 (2021) - [i64]Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He:
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CoRR abs/2104.14558 (2021) - [i63]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. CoRR abs/2106.14881 (2021) - [i62]Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick:
Masked Autoencoders Are Scalable Vision Learners. CoRR abs/2111.06377 (2021) - [i61]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:
PyTorchVideo: A Deep Learning Library for Video Understanding. CoRR abs/2111.09887 (2021) - [i60]Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick:
Benchmarking Detection Transfer Learning with Vision Transformers. CoRR abs/2111.11429 (2021) - 2020
- [j13]Tsung-Yi Lin
, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár:
Focal Loss for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 318-327 (2020) - [j12]Kaiming He
Mask R-CNN. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 386-397 (2020) - [c64]Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. CVPR 2020: 150-159 - [c63]Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick:
Momentum Contrast for Unsupervised Visual Representation Learning. CVPR 2020: 9726-9735 - [c62]Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick:
PointRend: Image Segmentation As Rendering. CVPR 2020: 9796-9805 - [c61]Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár:
Designing Network Design Spaces. CVPR 2020: 10425-10433 - [c60]Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille
Are Labels Necessary for Neural Architecture Search? ECCV (4) 2020: 798-813 - [c59]Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR Models By Generation of Contextual Information. ICASSP 2020: 7864-7868 - [c58]Kritika Singh, Vimal Manohar, Alex Xiao, Sergey Edunov, Ross B. Girshick, Vitaliy Liptchinsky, Christian Fuegen, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Large Scale Weakly and Semi-Supervised Learning for Low-Resource Video ASR. INTERSPEECH 2020: 3770-3774 - [i59]Xinlei Chen, Haoqi Fan, Ross B. Girshick, Kaiming He:
Improved Baselines with Momentum Contrastive Learning. CoRR abs/2003.04297 (2020) - [i58]Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie:
Are Labels Necessary for Neural Architecture Search? CoRR abs/2003.12056 (2020) - [i57]Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár:
Designing Network Design Spaces. CoRR abs/2003.13678 (2020) - [i56]Kritika Singh, Vimal Manohar, Alex Xiao, Sergey Edunov, Ross B. Girshick, Vitaliy Liptchinsky, Christian Fuegen, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Large scale weakly and semi-supervised learning for low-resource video ASR. CoRR abs/2005.07850 (2020)
2010 – 2019
- 2019
- [c57]Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick:
Long-Term Feature Banks for Detailed Video Understanding. CVPR 2019: 284-293 - [c56]Agrim Gupta, Piotr Dollár, Ross B. Girshick:
LVIS: A Dataset for Large Vocabulary Instance Segmentation. CVPR 2019: 5356-5364 - [c55]Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár:
Panoptic Feature Pyramid Networks. CVPR 2019: 6399-6408 - [c54]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CVPR 2019: 9404-9413 - [c53]Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He:
Exploring Randomly Wired Neural Networks for Image Recognition. ICCV 2019: 1284-1293 - [c52]Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár:
TensorMask: A Foundation for Dense Object Segmentation. ICCV 2019: 2061-2069 - [c51]Kaiming He, Ross B. Girshick, Piotr Dollár:
Rethinking ImageNet Pre-Training. ICCV 2019: 4917-4926 - [c50]Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick:
PHYRE: A New Benchmark for Physical Reasoning. NeurIPS 2019: 5083-5094 - [i55]Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár:
Panoptic Feature Pyramid Networks. CoRR abs/1901.02446 (2019) - [i54]Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár:
TensorMask: A Foundation for Dense Object Segmentation. CoRR abs/1903.12174 (2019) - [i53]Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He:
Exploring Randomly Wired Neural Networks for Image Recognition. CoRR abs/1904.01569 (2019) - [i52]Agrim Gupta, Piotr Dollár, Ross B. Girshick:
LVIS: A Dataset for Large Vocabulary Instance Segmentation. CoRR abs/1908.03195 (2019) - [i51]Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick:
PHYRE: A New Benchmark for Physical Reasoning. CoRR abs/1908.05656 (2019) - [i50]Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR models by Generation of Contextual Information. CoRR abs/1910.12367 (2019) - [i49]Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick:
Momentum Contrast for Unsupervised Visual Representation Learning. CoRR abs/1911.05722 (2019) - [i48]Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. CoRR abs/1912.00998 (2019) - [i47]Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick:
PointRend: Image Segmentation as Rendering. CoRR abs/1912.08193 (2019) - 2018
- [c49]Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. CVPR 2018: 11-20 - [c48]Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He:
Data Distillation: Towards Omni-Supervised Learning. CVPR 2018: 4119-4128 - [c47]Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. CVPR 2018: 4233-4241 - [c46]Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan:
Low-Shot Learning From Imaginary Data. CVPR 2018: 7278-7286 - [c45]Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He:
Non-Local Neural Networks. CVPR 2018: 7794-7803 - [c44]Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He:
Detecting and Recognizing Human-Object Interactions. CVPR 2018: 8359-8367 - [c43]Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten:
Exploring the Limits of Weakly Supervised Pretraining. ECCV (2) 2018: 185-201 - [i46]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CoRR abs/1801.00868 (2018) - [i45]Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan:
Low-Shot Learning from Imaginary Data. CoRR abs/1801.05401 (2018) - [i44]Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten:
Exploring the Limits of Weakly Supervised Pretraining. CoRR abs/1805.00932 (2018) - [i43]Kaiming He, Ross B. Girshick, Piotr Dollár:
Rethinking ImageNet Pre-training. CoRR abs/1811.08883 (2018) - [i42]Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick:
Long-Term Feature Banks for Detailed Video Understanding. CoRR abs/1812.05038 (2018) - 2017
- [j11]Ross B. Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang
Editorial- Deep Learning for Computer Vision. Comput. Vis. Image Underst. 164: 1-2 (2017) - [j10]Bharath Hariharan
Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 627-639 (2017) - [j9]Shaoqing Ren, Kaiming He
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1137-1149 (2017) - [j8]Shaoqing Ren, Kaiming He, Ross B. Girshick, Xiangyu Zhang, Jian Sun:
Object Detection Networks on Convolutional Feature Maps. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1476-1481 (2017) - [c42]Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
Feature Pyramid Networks for Object Detection. CVPR 2017: 936-944 - [c41]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CVPR 2017: 1988-1997 - [c40]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CVPR 2017: 5987-5995 - [c39]Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan:
Learning Features by Watching Objects Move. CVPR 2017: 6024-6033 - [c38]Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick:
Mask R-CNN. ICCV 2017: 2980-2988 - [c37]Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár:
Focal Loss for Dense Object Detection. ICCV 2017: 2999-3007 - [c36]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman
Inferring and Executing Programs for Visual Reasoning. ICCV 2017: 3008-3017 - [c35]Bharath Hariharan, Ross B. Girshick:
Low-Shot Visual Recognition by Shrinking and Hallucinating Features. ICCV 2017: 3037-3046 - [i41]Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick:
Mask R-CNN. CoRR abs/1703.06870 (2017) - [i40]Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He:
Detecting and Recognizing Human-Object Interactions. CoRR abs/1704.07333 (2017) - [i39]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
Inferring and Executing Programs for Visual Reasoning. CoRR abs/1705.03633 (2017) - [i38]Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He:
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. CoRR abs/1706.02677 (2017) - [i37]Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár:
Focal Loss for Dense Object Detection. CoRR abs/1708.02002 (2017) - [i36]Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He:
Non-local Neural Networks. CoRR abs/1711.07971 (2017) - [i35]Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. CoRR abs/1711.10370 (2017) - [i34]Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. CoRR abs/1712.01238 (2017) - [i33]Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He:
Data Distillation: Towards Omni-Supervised Learning. CoRR abs/1712.04440 (2017) - 2016
- [j7]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 142-158 (2016) - [j6]Jitendra Malik, Pablo Andrés Arbeláez
The three R's of computer vision: Recognition, reconstruction and reorganization. Pattern Recognit. Lett. 72: 4-14 (2016) - [c34]Abhinav Shrivastava, Abhinav Gupta, Ross B. Girshick:
Training Region-Based Object Detectors with Online Hard Example Mining. CVPR 2016: 761-769 - [c33]Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, Ali Farhadi:
You Only Look Once: Unified, Real-Time Object Detection. CVPR 2016: 779-788 - [c32]Sean Bell, C. Lawrence Zitnick, Kavita Bala
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks. CVPR 2016: 2874-2883 - [c31]Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick:
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. CVPR 2016: 2930-2939 - [c30]Junyuan Xie, Ross B. Girshick, Ali Farhadi:
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks. ECCV (4) 2016: 842-857 - [c29]Junyuan Xie, Ross B. Girshick, Ali Farhadi:
Unsupervised Deep Embedding for Clustering Analysis. ICML 2016: 478-487 - [c28]Ting-Hao (Kenneth) Huang
Visual Storytelling. HLT-NAACL 2016: 1233-1239 - [c27]Michael Cogswell, Faruk Ahmed, Ross B. Girshick, Larry Zitnick, Dhruv Batra:
Reducing Overfitting in Deep Networks by Decorrelating Representations. ICLR (Poster) 2016 - [i32]Abhinav Shrivastava, Abhinav Gupta, Ross B. Girshick:
Training Region-based Object Detectors with Online Hard Example Mining. CoRR abs/1604.03540 (2016) - [i31]Junyuan Xie, Ross B. Girshick, Ali Farhadi:
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks. CoRR abs/1604.03650 (2016) - [i30]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:
Visual Storytelling. CoRR abs/1604.03968 (2016) - [i29]Bharath Hariharan, Ross B. Girshick:
Low-shot visual object recognition. CoRR abs/1606.02819 (2016) - [i28]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CoRR abs/1611.05431 (2016) - [i27]Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie:
Feature Pyramid Networks for Object Detection. CoRR abs/1612.03144 (2016) - [i26]Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan:
Learning Features by Watching Objects Move. CoRR abs/1612.06370 (2016) - [i25]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CoRR abs/1612.06890 (2016) - 2015
- [j5]Saurabh Gupta, Pablo Andrés Arbeláez
Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation. Int. J. Comput. Vis. 112(2): 133-149 (2015) - [j4]Hyun Oh Song, Ross B. Girshick, Stefan Zickler, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell:
Generalized Sparselet Models for Real-Time Multiclass Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 1001-1012 (2015) - [c26]Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik:
Deformable part models are convolutional neural networks. CVPR 2015: 437-446 - [c25]Bharath Hariharan, Pablo Andrés Arbeláez
Hypercolumns for object segmentation and fine-grained localization. CVPR 2015: 447-456 - [c24]Saurabh Gupta, Pablo Andrés Arbeláez
Aligning 3D models to RGB-D images of cluttered scenes. CVPR 2015: 4731-4740 - [c23]Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Contextual Action Recognition with R*CNN. ICCV 2015: 1080-1088 - [c22]Ross B. Girshick:
Fast R-CNN. ICCV 2015: 1440-1448 - [c21]Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Actions and Attributes from Wholes and Parts. ICCV 2015: 2470-2478 - [c20]Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun:
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. NIPS 2015: 91-99 - [i24]Saurabh Gupta, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik:
Inferring 3D Object Pose in RGB-D Images. CoRR abs/1502.04652 (2015) - [i23]Shaoqing Ren, Kaiming He, Ross B. Girshick, Xiangyu Zhang, Jian Sun:
Object Detection Networks on Convolutional Feature Maps. CoRR abs/1504.06066 (2015) - [i22]Ross B. Girshick:
Fast R-CNN. CoRR abs/1504.08083 (2015) - [i21]Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Contextual Action Recognition with R*CNN. CoRR abs/1505.01197 (2015) - [i20]Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick:
Exploring Nearest Neighbor Approaches for Image Captioning. CoRR abs/1505.04467 (2015) - [i19]Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun:
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. CoRR abs/1506.01497 (2015) - [i18]Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, Ali Farhadi:
You Only Look Once: Unified, Real-Time Object Detection. CoRR abs/1506.02640 (2015) - [i17]Junyuan Xie, Ross B. Girshick, Ali Farhadi:
Unsupervised Deep Embedding for Clustering Analysis. CoRR abs/1511.06335 (2015) - [i16]Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross B. Girshick:
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks. CoRR abs/1512.04143 (2015) - [i15]Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick:
Learning Visual Classifiers using Human-centric Annotations. CoRR abs/1512.06974 (2015) - 2014
- [c19]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. CVPR 2014: 580-587 - [c18]Georgia Gkioxari, Bharath Hariharan, Ross B. Girshick, Jitendra Malik:
Using k-Poselets for Detecting People and Localizing Their Keypoints. CVPR 2014: 3582-3589 - [c17]Andrea Vedaldi
Understanding Objects in Detail with Fine-Grained Attributes. CVPR 2014: 3622-3629 - [c16]Bharath Hariharan, Pablo Andrés Arbeláez
Simultaneous Detection and Segmentation. ECCV (7) 2014: 297-312 - [c15]Pulkit Agrawal, Ross B. Girshick, Jitendra Malik:
Analyzing the Performance of Multilayer Neural Networks for Object Recognition. ECCV (7) 2014: 329-344 - [c14]Saurabh Gupta, Ross B. Girshick, Pablo Andrés Arbeláez
Learning Rich Features from RGB-D Images for Object Detection and Segmentation. ECCV (7) 2014: 345-360 - [c13]Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell:
Part-Based R-CNNs for Fine-Grained Category Detection. ECCV (1) 2014: 834-849 - [c12]Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell:
On learning to localize objects with minimal supervision. ICML 2014: 1611-1619 - [c11]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. ACM Multimedia 2014: 675-678 - [c10]Judy Hoffman
LSDA: Large Scale Detection through Adaptation. NIPS 2014: 3536-3544 - [i14]Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell:
One-Bit Object Detection: On learning to localize objects with minimal supervision. CoRR abs/1403.1024 (2014) - [i13]Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer:
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids. CoRR abs/1404.1869 (2014) - [i12]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:
Microsoft COCO: Common Objects in Context. CoRR abs/1405.0312 (2014) - [i11]Georgia Gkioxari, Bharath Hariharan, Ross B. Girshick, Jitendra Malik:
R-CNNs for Pose Estimation and Action Detection. CoRR abs/1406.5212 (2014) - [i10]Pulkit Agrawal, Ross B. Girshick, Jitendra Malik:
Analyzing the Performance of Multilayer Neural Networks for Object Recognition. CoRR abs/1407.1610 (2014) - [i9]Bharath Hariharan, Pablo Arbeláez, Ross B. Girshick, Jitendra Malik:
Simultaneous Detection and Segmentation. CoRR abs/1407.1808 (2014) - [i8]Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell:
Part-based R-CNNs for Fine-grained Category Detection. CoRR abs/1407.3867 (2014) - [i7]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection Through Adaptation. CoRR abs/1407.5035 (2014) - [i6]Saurabh Gupta, Ross B. Girshick, Pablo Arbeláez, Jitendra Malik:
Learning Rich Features from RGB-D Images for Object Detection and Segmentation. CoRR abs/1407.5736 (2014) - [i5]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. CoRR abs/1408.5093 (2014) - [i4]Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik:
Deformable Part Models are Convolutional Neural Networks. CoRR abs/1409.5403 (2014) - [i3]Bharath Hariharan, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik:
Hypercolumns for Object Segmentation and Fine-grained Localization. CoRR abs/1411.5752 (2014) - [i2]Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Actions and Attributes from Wholes and Parts. CoRR abs/1412.2604 (2014) - 2013
- [j3]Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan:
Visual object detection with deformable part models. Commun. ACM 56(9): 97-105 (2013) - [j2]Jamie Shotton, Ross B. Girshick, Andrew W. Fitzgibbon, Toby Sharp, Mat Cook, Mark Finocchio, Richard Moore, Pushmeet Kohli, Antonio Criminisi, Alex Kipman, Andrew Blake:
Efficient Human Pose Estimation from Single Depth Images. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2821-2840 (2013) - [c9]Ross B. Girshick, Jitendra Malik:
Training Deformable Part Models with Decorrelated Features. ICCV 2013: 3016-3023 - [c8]Ross B. Girshick, Hyun Oh Song, Trevor Darrell:
Discriminatively Activated Sparselets. ICML (1) 2013: 196-204 - [i1]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Rich feature hierarchies for accurate object detection and semantic segmentation. CoRR abs/1311.2524 (2013) - 2012
- [c7]Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell:
Sparselet Models for Efficient Multiclass Object Detection. ECCV (2) 2012: 802-815 - 2011
- [c6]Ross B. Girshick, Jamie Shotton, Pushmeet Kohli, Antonio Criminisi, Andrew W. Fitzgibbon:
Efficient regression of general-activity human poses from depth images. ICCV 2011: 415-422 - [c5]Ross B. Girshick, Pedro F. Felzenszwalb, David A. McAllester:
Object Detection with Grammar Models. NIPS 2011: 442-450 - 2010
- [j1]Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan
Object Detection with Discriminatively Trained Part-Based Models. IEEE Trans. Pattern Anal. Mach. Intell. 32(9): 1627-1645 (2010) - [c4]Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester:
Cascade object detection with deformable part models. CVPR 2010: 2241-2248 - [c3]Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan:
Discriminative Latent Variable Models for Object Detection. ICML 2010: 11-12
2000 – 2009
- 2009
- [c2]Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshick, David W. Jacobs, Caroline J. Klivans:
Visibility constraints on features of 3D objects. CVPR 2009: 1231-1238 - 2004
- [c1]Ross B. Girshick:
Simulating Chinese brush painting: the parametric hairy brush. SIGGRAPH Posters 2004: 22
Coauthor Index
Pablo Andrés Arbeláez
aka: Pablo Arbeláez
aka: Pablo Arbeláez
[i73] [c74] [c73] [i71] [i70] [c72] [c71] [i69] [c69] [c67] [c65] [i67] [i66] [i65] [i63] [i62] [i60] [j13] [j12] [c61] [c60] [i58] [i57] [c56] [c55] [c54] [c52] [c51] [i55] [i54] [i52] [c48] [c47] [c44] [i46] [i43] [c42] [c40] [c39] [c38] [c37] [i41] [i40] [i38] [i37] [i35] [i33] [i28] [i27] [i26] [i12]
[c71] [c70] [i68] [c68] [i64] [i62] [i60] [j13] [j12] [c64] [c63] [c62] [c61] [c60] [i59] [i58] [i57] [c57] [c55] [c54] [c53] [c52] [c51] [i55] [i54] [i53] [i49] [i48] [i47] [c48] [c47] [c45] [c44] [c43] [i46] [i44] [i43] [i42] [j9] [j8] [c42] [c40] [c38] [c37] [i41] [i40] [i38] [i37] [i36] [i35] [i33] [i28] [i27] [c20] [i23] [i19]
C. Lawrence Zitnick
aka: Larry Zitnick
aka: Larry Zitnick
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:03 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: