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2020 – today
- 2024
[i39]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)- 2023
- [c53]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 - [c52]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 - [i38]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) - [i37]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
- [c51]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 - [c50]Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick:
Masked Autoencoders Are Scalable Vision Learners. CVPR 2022: 15979-15988 - [i36]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) - 2021
- [c49]Piotr Dollár, Mannat Singh, Ross B. Girshick:
Fast and Accurate Model Scaling. CVPR 2021: 924-932 - [c48]Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov:
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CVPR 2021: 15334-15342 - [c47]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. NeurIPS 2021: 30392-30400 - [i35]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) - [i34]Piotr Dollár, Mannat Singh, Ross B. Girshick:
Fast and Accurate Model Scaling. CoRR abs/2103.06877 (2021) - [i33]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) - [i32]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. CoRR abs/2106.14881 (2021) - [i31]Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick:
Masked Autoencoders Are Scalable Vision Learners. CoRR abs/2111.06377 (2021) - [i30]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
- [j7]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) - [j6]Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick:
Mask R-CNN. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 386-397 (2020) - [c46]Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár:
Designing Network Design Spaces. CVPR 2020: 10425-10433 - [c45]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 - [i29]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) - [i28]Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár:
Designing Network Design Spaces. CoRR abs/2003.13678 (2020)
2010 – 2019
- 2019
- [c44]Agrim Gupta, Piotr Dollár, Ross B. Girshick:
LVIS: A Dataset for Large Vocabulary Instance Segmentation. CVPR 2019: 5356-5364 - [c43]Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár:
Panoptic Feature Pyramid Networks. CVPR 2019: 6399-6408 - [c42]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CVPR 2019: 9404-9413 - [c41]Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár:
On Network Design Spaces for Visual Recognition. ICCV 2019: 1882-1890 - [c40]Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár:
TensorMask: A Foundation for Dense Object Segmentation. ICCV 2019: 2061-2069 - [c39]Kaiming He, Ross B. Girshick, Piotr Dollár:
Rethinking ImageNet Pre-Training. ICCV 2019: 4917-4926 - [i27]Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár:
Panoptic Feature Pyramid Networks. CoRR abs/1901.02446 (2019) - [i26]Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár:
TensorMask: A Foundation for Dense Object Segmentation. CoRR abs/1903.12174 (2019) - [i25]Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár:
On Network Design Spaces for Visual Recognition. CoRR abs/1905.13214 (2019) - [i24]Agrim Gupta, Piotr Dollár, Ross B. Girshick:
LVIS: A Dataset for Large Vocabulary Instance Segmentation. CoRR abs/1908.03195 (2019) - 2018
- [c38]Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He:
Data Distillation: Towards Omni-Supervised Learning. CVPR 2018: 4119-4128 - [c37]Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. CVPR 2018: 4233-4241 - [c36]Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He:
Detecting and Recognizing Human-Object Interactions. CVPR 2018: 8359-8367 - [i23]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CoRR abs/1801.00868 (2018) - [i22]Kaiming He, Ross B. Girshick, Piotr Dollár:
Rethinking ImageNet Pre-training. CoRR abs/1811.08883 (2018) - 2017
- [c35]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 - [c34]Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár:
Semantic Amodal Segmentation. CVPR 2017: 3001-3009 - [c33]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CVPR 2017: 5987-5995 - [c32]Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan:
Learning Features by Watching Objects Move. CVPR 2017: 6024-6033 - [c31]Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick:
Mask R-CNN. ICCV 2017: 2980-2988 - [c30]Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár:
Focal Loss for Dense Object Detection. ICCV 2017: 2999-3007 - [i21]Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick:
Mask R-CNN. CoRR abs/1703.06870 (2017) - [i20]Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He:
Detecting and Recognizing Human-Object Interactions. CoRR abs/1704.07333 (2017) - [i19]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) - [i18]Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár:
Focal Loss for Dense Object Detection. CoRR abs/1708.02002 (2017) - [i17]Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. CoRR abs/1711.10370 (2017) - [i16]Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He:
Data Distillation: Towards Omni-Supervised Learning. CoRR abs/1712.04440 (2017) - 2016
- [j5]Jan Hendrik Hosang, Rodrigo Benenson, Piotr Dollár, Bernt Schiele:
What Makes for Effective Detection Proposals? IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 814-830 (2016) - [c29]Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. BMVC 2016 - [c28]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CVPR 2016: 1619-1627 - [c27]Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár:
Learning to Refine Object Segments. ECCV (1) 2016: 75-91 - [c26]Oren Rippel, Manohar Paluri, Piotr Dollár, Lubomir D. Bourdev:
Metric Learning with Adaptive Density Discrimination. ICLR (Poster) 2016 - [i15]Pedro H. O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár:
Learning to Refine Object Segments. CoRR abs/1603.08695 (2016) - [i14]Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. CoRR abs/1604.02135 (2016) - [i13]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CoRR abs/1611.05431 (2016) - [i12]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) - [i11]Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan:
Learning Features by Watching Objects Move. CoRR abs/1612.06370 (2016) - 2015
- [j4]Piotr Dollár, C. Lawrence Zitnick:
Fast Edge Detection Using Structured Forests. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1558-1570 (2015) - [c25]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From captions to visual concepts and back. CVPR 2015: 1473-1482 - [c24]Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár:
Learning to Segment Object Candidates. NIPS 2015: 1990-1998 - [i10]Jan Hendrik Hosang, Rodrigo Benenson, Piotr Dollár, Bernt Schiele:
What makes for effective detection proposals? CoRR abs/1502.05082 (2015) - [i9]Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick:
Microsoft COCO Captions: Data Collection and Evaluation Server. CoRR abs/1504.00325 (2015) - [i8]Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár:
Learning to Segment Object Candidates. CoRR abs/1506.06204 (2015) - [i7]Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár:
Semantic Amodal Segmentation. CoRR abs/1509.01329 (2015) - [i6]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CoRR abs/1511.04166 (2015) - 2014
- [j3]Piotr Dollár, Ron Appel, Serge J. Belongie, Pietro Perona:
Fast Feature Pyramids for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1532-1545 (2014) - [c23]Bharath Hariharan, C. Lawrence Zitnick, Piotr Dollár:
Detecting Objects Using Deformation Dictionaries. CVPR 2014: 1995-2002 - [c22]C. Lawrence Zitnick, Piotr Dollár:
Edge Boxes: Locating Object Proposals from Edges. ECCV (5) 2014: 391-405 - [c21]Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick:
Microsoft COCO: Common Objects in Context. ECCV (5) 2014: 740-755 - [c20]Woonhyun Nam, Piotr Dollár, Joon Hee Han:
Local Decorrelation For Improved Pedestrian Detection. NIPS 2014: 424-432 - [i5]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) - [i4]Zhuowen Tu, Piotr Dollár, Yingnian Wu:
Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations. CoRR abs/1405.6804 (2014) - [i3]Woonhyun Nam, Piotr Dollár, Joon Hee Han:
Local Decorrelation For Improved Detection. CoRR abs/1406.1134 (2014) - [i2]Piotr Dollár, C. Lawrence Zitnick:
Fast Edge Detection Using Structured Forests. CoRR abs/1406.5549 (2014) - [i1]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From Captions to Visual Concepts and Back. CoRR abs/1411.4952 (2014) - 2013
- [c19]Xavier P. Burgos-Artizzu, David Hall, Pietro Perona, Piotr Dollár:
Merging Pose Estimates Across Space and Time. BMVC 2013 - [c18]Dennis Park, C. Lawrence Zitnick, Deva Ramanan, Piotr Dollár:
Exploring Weak Stabilization for Motion Feature Extraction. CVPR 2013: 2882-2889 - [c17]Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár:
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. CVPR 2013: 3158-3165 - [c16]Xavier P. Burgos-Artizzu, Pietro Perona, Piotr Dollár:
Robust Face Landmark Estimation under Occlusion. ICCV 2013: 1513-1520 - [c15]Piotr Dollár, C. Lawrence Zitnick:
Structured Forests for Fast Edge Detection. ICCV 2013: 1841-1848 - [c14]Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona:
Quickly Boosting Decision Trees - Pruning Underachieving Features Early. ICML (3) 2013: 594-602 - 2012
- [j2]Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona:
Pedestrian Detection: An Evaluation of the State of the Art. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 743-761 (2012) - [c13]Xavier P. Burgos-Artizzu, Piotr Dollár, Dayu Lin, David J. Anderson, Pietro Perona:
Social behavior recognition in continuous video. CVPR 2012: 1322-1329 - [c12]Piotr Dollár, Ron Appel, Wolf Kienzle:
Crosstalk Cascades for Frame-Rate Pedestrian Detection. ECCV (2) 2012: 645-659 - 2011
- [c11]Boris Babenko, Nakul Verma, Piotr Dollár, Serge J. Belongie:
Multiple Instance Learning with Manifold Bags. ICML 2011: 81-88 - 2010
- [c10]Piotr Dollár, Serge J. Belongie, Pietro Perona:
The Fastest Pedestrian Detector in the West. BMVC 2010: 1-11 - [c9]Piotr Dollár, Peter Welinder, Pietro Perona:
Cascaded pose regression. CVPR 2010: 1078-1085
2000 – 2009
- 2009
- [c8]Piotr Dollár, Zhuowen Tu, Pietro Perona, Serge J. Belongie:
Integral Channel Features. BMVC 2009: 1-11 - [c7]Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona:
Pedestrian detection: A benchmark. CVPR 2009: 304-311 - 2008
- [j1]Zhuowen Tu, Katherine L. Narr, Piotr Dollár, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga:
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models. IEEE Trans. Medical Imaging 27(4): 495-508 (2008) - [c6]Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu:
Multiple Component Learning for Object Detection. ECCV (2) 2008: 211-224 - 2007
- [b1]Piotr Dollár:
Learning from local image regions. University of California, San Diego, USA, 2007 - [c5]Piotr Dollár, Zhuowen Tu, Hai Tao, Serge J. Belongie:
Feature Mining for Image Classification. CVPR 2007 - [c4]Boris Babenko, Piotr Dollár, Serge J. Belongie:
Task Specific Local Region Matching. ICCV 2007: 1-8 - [c3]Piotr Dollár, Vincent C. Rabaud, Serge J. Belongie:
Non-isometric manifold learning: analysis and an algorithm. ICML 2007: 241-248 - 2006
- [c2]Piotr Dollár, Zhuowen Tu, Serge J. Belongie:
Supervised Learning of Edges and Object Boundaries. CVPR (2) 2006: 1964-1971 - [c1]Piotr Dollár, Serge J. Belongie, Vincent C. Rabaud:
Learning to Traverse Image Manifolds. NIPS 2006: 361-368
Coauthor Index
[i39] [c53] [c52] [i38] [i37] [c51] [c50] [i36] [c49] [c48] [c47] [i35] [i34] [i33] [i32] [i31] [i30] [j7] [j6] [c46] [c45] [i29] [i28] [c44] [c43] [c42] [c40] [c39] [i27] [i26] [i24] [c38] [c37] [c36] [i23] [i22] [c35] [c33] [c32] [c31] [c30] [i21] [i20] [i19] [i18] [i17] [i16] [i13] [i12] [i11] [i5]
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