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ORCIDRoss B. Girshick
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 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, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick:
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, Saining Xie:
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, Shuicheng Yan, Alan L. Yuille:
Editorial- Deep Learning for Computer Vision. Comput. Vis. Image Underst. 164: 1-2 (2017) - [j10]Bharath Hariharan, Pablo Arbelaez, Ross B. Girshick, Jitendra Malik:
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, Ross B. Girshick, Jian Sun:
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, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
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, Fei-Fei Li, 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, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani:
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, Ross B. Girshick:
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, 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. 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, Ross B. Girshick, Jitendra Malik:
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, Ross B. Girshick, Jitendra Malik:
Hypercolumns for object segmentation and fine-grained localization. CVPR 2015: 447-456 - [c24]Saurabh Gupta, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik:
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, 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:
Understanding Objects in Detail with Fine-Grained Attributes. CVPR 2014: 3622-3629 - [c16]Bharath Hariharan, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik:
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, Jitendra Malik:
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, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
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 Arbelaez, 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 Arbelaez, 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]