| Microsoft coco: Common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... European conference on computer vision, 740-755, 2014 | 11451 | 2014 |
| 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 | 4567 | 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 | 4342 | 2017 |
| 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 | 738 | 2015 |
| Learning to refine object segments PO Pinheiro, TY Lin, R Collobert, P Dollár European conference on computer vision, 75-91, 2016 | 594 | 2016 |
| Learning Deep Representations for Ground-to-Aerial Geolocalization TY Lin, Y Cui, S Belongie, J Hays Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 212 | 2015 |
| Collaborative metric learning CK Hsieh, L Yang, Y Cui, TY Lin, S Belongie, D Estrin Proceedings of the 26th international conference on world wide web, 193-201, 2017 | 198 | 2017 |
| Dropblock: A regularization method for convolutional networks G Ghiasi, TY Lin, QV Le Advances in Neural Information Processing Systems, 10727-10737, 2018 | 194 | 2018 |
| Nas-fpn: Learning scalable feature pyramid architecture for object detection G Ghiasi, TY Lin, QV Le Proceedings of the IEEE conference on computer vision and pattern …, 2019 | 162 | 2019 |
| A multipath network for object detection S Zagoruyko, A Lerer, TY Lin, PO Pinheiro, S Gross, S Chintala, P Dollár arXiv preprint arXiv:1604.02135, 2016 | 161 | 2016 |
| Class-balanced loss based on effective number of samples Y Cui, M Jia, TY Lin, Y Song, S Belongie Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 158 | 2019 |
| Cross-view image geolocalization TY Lin, S Belongie, J Hays Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 131 | 2013 |
| Learning data augmentation strategies for object detection B Zoph, ED Cubuk, G Ghiasi, TY Lin, J Shlens, QV Le arXiv preprint arXiv:1906.11172, 2019 | 52 | 2019 |
| Focal loss for dense object detection P Goyal, H Kaiming IEEE transactions on pattern analysis and machine intelligence 39, 2999-3007, 2018 | 46 | 2018 |
| Cross camera people counting with perspective estimation and occlusion handling TY Lin, YY Lin, MF Weng, YC Wang, YF Hsu, HYM Liao 2011 IEEE International Workshop on Information Forensics and Security, 1-6, 2011 | 22 | 2011 |
| Shapemask: Learning to segment novel objects by refining shape priors W Kuo, A Angelova, J Malik, TY Lin Proceedings of the IEEE International Conference on Computer Vision, 9207-9216, 2019 | 17 | 2019 |
| Perception-based high dynamic range compression in gradient domain WF Lee, TY Lin, ML Chu, TH Huang, HH Chen 2009 16th IEEE International Conference on Image Processing (ICIP), 1805-1808, 2009 | 15 | 2009 |
| SpineNet: Learning scale-permuted backbone for recognition and localization X Du, TY Lin, P Jin, G Ghiasi, M Tan, Y Cui, QV Le, X Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 9 | 2020 |
| Example-based human motion extrapolation and motion repairing using contour manifold NC Tang, CT Hsu, MF Weng, TY Lin, HYM Liao IEEE transactions on multimedia 16 (1), 47-59, 2013 | 9 | 2013 |
| Mnasfpn: Learning latency-aware pyramid architecture for object detection on mobile devices B Chen, G Ghiasi, H Liu, TY Lin, D Kalenichenko, H Adam, QV Le Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 4 | 2020 |
Piotr DollárFacebook AI ResearchVerifierad e-postadress på fb.com
