Tsung-Yi Lin
Tsung-Yi Lin
Research Scientist, Google Brain
Dirección de correo verificada de google.com
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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
184062014
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
90082017
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
86362017
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
10192015
Learning to refine object segments
PO Pinheiro, TY Lin, R Collobert, P Dollár
European conference on computer vision, 75-91, 2016
7952016
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
5142019
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
4912019
Dropblock: A regularization method for convolutional networks
G Ghiasi, TY Lin, QV Le
arXiv preprint arXiv:1810.12890, 2018
4152018
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
3052017
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
2592015
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
2112016
Cross-view image geolocalization
TY Lin, S Belongie, J Hays
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1592013
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
1542020
Rethinking pre-training and self-training
B Zoph, G Ghiasi, TY Lin, Y Cui, H Liu, ED Cubuk, QV Le
arXiv preprint arXiv:2006.06882, 2020
1242020
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
732021
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
662020
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
502019
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
462021
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
262011
Revisiting resnets: Improved training and scaling strategies
I Bello, W Fedus, X Du, ED Cubuk, A Srinivas, TY Lin, J Shlens, B Zoph
arXiv preprint arXiv:2103.07579, 2021
172021
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Artículos 1–20