| Microsoft coco: Common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollįr, ... European conference on computer vision, 740-755, 2014 | 26287 | 2014 |
| Focal loss for dense object detection TY Lin, P Goyal, R Girshick, K He, P Dollįr Proceedings of the IEEE international conference on computer vision, 2980-2988, 2017 | 14927 | 2017 |
| Feature pyramid networks for object detection TY Lin, P Dollįr, R Girshick, K He, B Hariharan, S Belongie Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 13736 | 2017 |
| Microsoft coco captions: Data collection and evaluation server X Chen, H Fang, TY Lin, R Vedantam, S Gupta, P Dollįr, CL Zitnick arXiv preprint arXiv:1504.00325, 2015 | 1390 | 2015 |
| Class-balanced loss based on effective number of samples Y Cui, M Jia, TY Lin, Y Song, S Belongie Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1015 | 2019 |
| Learning to refine object segments PO Pinheiro, TY Lin, R Collobert, P Dollįr European conference on computer vision, 75-91, 2016 | 917 | 2016 |
| Nas-fpn: Learning scalable feature pyramid architecture for object detection G Ghiasi, TY Lin, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 866 | 2019 |
| Dropblock: A regularization method for convolutional networks G Ghiasi, TY Lin, QV Le Advances in neural information processing systems 31, 2018 | 674 | 2018 |
| 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 | 415 | 2017 |
| Bottleneck transformers for visual recognition A Srinivas, TY Lin, N Parmar, J Shlens, P Abbeel, A Vaswani Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 326 | 2021 |
| Rethinking pre-training and self-training B Zoph, G Ghiasi, TY Lin, Y Cui, H Liu, ED Cubuk, Q Le Advances in neural information processing systems 33, 3833-3845, 2020 | 316 | 2020 |
| Learning data augmentation strategies for object detection B Zoph, ED Cubuk, G Ghiasi, TY Lin, J Shlens, QV Le European conference on computer vision, 566-583, 2020 | 314 | 2020 |
| 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 | 308 | 2015 |
| A multipath network for object detection S Zagoruyko, A Lerer, TY Lin, PO Pinheiro, S Gross, S Chintala, P Dollįr arXiv preprint arXiv:1604.02135, 2016 | 247 | 2016 |
| Simple copy-paste is a strong data augmentation method for instance segmentation G Ghiasi, Y Cui, A Srinivas, R Qian, TY Lin, ED Cubuk, QV Le, B Zoph Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 232 | 2021 |
| Cross-view image geolocalization TY Lin, S Belongie, J Hays Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 188 | 2013 |
| 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 | 134 | 2020 |
| Revisiting ResNets: Improved Training and Scaling Strategies I Bello, LB Fedus, X Du, ED Cubuk, A Srinivas, TY Lin, J Shlens, BR Zoph | 102 | 2021 |
| inerf: Inverting neural radiance fields for pose estimation L Yen-Chen, P Florence, JT Barron, A Rodriguez, P Isola, TY Lin 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 81 | 2021 |
| Shapemask: Learning to segment novel objects by refining shape priors W Kuo, A Angelova, J Malik, TY Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 79 | 2019 |
Serge BelongieProfessor of Computer Science, University of CopenhagenVerified email at di.ku.dk
