Tsung-Yi Lin
Tsung-Yi Lin
Research Scientist, Google Brain
Zweryfikowany adres z google.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
214422014
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
113012017
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
105662017
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
11612015
Learning to refine object segments
PO Pinheiro, TY Lin, R Collobert, P Dollár
European conference on computer vision, 75-91, 2016
8472016
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
6862019
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
6382019
Dropblock: A regularization method for convolutional networks
G Ghiasi, TY Lin, QV Le
arXiv preprint arXiv:1810.12890, 2018
5132018
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
3372017
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
2782015
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
2292016
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
2122020
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
1952020
Cross-view image geolocalization
TY Lin, S Belongie, J Hays
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1722013
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
1562021
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
1042021
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
1022020
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
632019
Revisiting ResNets: Improved Training and Scaling Strategies
I Bello, LB Fedus, X Du, ED Cubuk, A Srinivas, TY Lin, J Shlens, BR Zoph
372021
inerf: Inverting neural radiance fields for pose estimation
L Yen-Chen, P Florence, JT Barron, A Rodriguez, P Isola, TY Lin
arXiv preprint arXiv:2012.05877, 2020
322020
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