| Microsoft coco: Common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 34497 | 2014 |
| Mask r-cnn K He, G Gkioxari, P Dollár, R Girshick Computer Vision (ICCV), 2017 IEEE International Conference on, 2980-2988, 2017 | 26036 | 2017 |
| Focal loss for dense object detection TY Lin, P Goyal, R Girshick, K He, P Dollár Proceedings of the IEEE international conference on computer vision, 2980-2988, 2017 | 20369 | 2017 |
| Feature pyramid networks for object detection TY Lin, P Dollár, R Girshick, K He, B Hariharan, S Belongie Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 18335 | 2017 |
| Aggregated residual transformations for deep neural networks S Xie, R Girshick, P Dollár, Z Tu, K He Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 9401 | 2017 |
| Pedestrian detection: An evaluation of the state of the art P Dollar, C Wojek, B Schiele, P Perona IEEE transactions on pattern analysis and machine intelligence 34 (4), 743-761, 2011 | 3761 | 2011 |
| Behavior recognition via sparse spatio-temporal features P Dollár, V Rabaud, G Cottrell, S Belongie 2005 IEEE international workshop on visual surveillance and performance …, 2005 | 3433 | 2005 |
| Edge boxes: Locating object proposals from edges CL Zitnick, P Dollár Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 3168 | 2014 |
| Accurate, large minibatch sgd: Training imagenet in 1 hour P Goyal, P Dollár, R Girshick, P Noordhuis, L Wesolowski, A Kyrola, ... arXiv preprint arXiv:1706.02677, 2017 | 3158 | 2017 |
| Fast feature pyramids for object detection P Dollár, R Appel, S Belongie, P Perona IEEE transactions on pattern analysis and machine intelligence 36 (8), 1532-1545, 2014 | 2261 | 2014 |
| Microsoft coco captions: Data collection and evaluation server X Chen, H Fang, TY Lin, R Vedantam, S Gupta, P Dollár, CL Zitnick arXiv preprint arXiv:1504.00325, 2015 | 1729 | 2015 |
| Masked autoencoders are scalable vision learners K He, X Chen, S Xie, Y Li, P Dollár, R Girshick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1696 | 2022 |
| Pedestrian detection: A benchmark P Dollár, C Wojek, B Schiele, P Perona 2009 IEEE conference on computer vision and pattern recognition, 304-311, 2009 | 1676 | 2009 |
| Integral channel features P Dollár, Z Tu, P Perona, S Belongie BMVC Press, 2009 | 1625 | 2009 |
| From captions to visual concepts and back H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1483 | 2015 |
| Structured forests for fast edge detection P Dollár, CL Zitnick Proceedings of the IEEE international conference on computer vision, 1841-1848, 2013 | 1132 | 2013 |
| Panoptic segmentation A Kirillov, K He, R Girshick, C Rother, P Dollár Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1032 | 2019 |
| Rethinking imagenet pre-training K He, R Girshick, P Dollár Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 1001 | 2019 |
| Designing network design spaces I Radosavovic, RP Kosaraju, R Girshick, K He, P Dollár Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 995 | 2020 |
| Learning to refine object segments PO Pinheiro, TY Lin, R Collobert, P Dollár Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 992 | 2016 |
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)在 eecs.berkeley.edu 的电子邮件经过验证
