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Tsung-Yi Lin
Tsung-Yi Lin
Research Scientist, Nvidia
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
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
264672014
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
150792017
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
138612017
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
13942015
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
10242019
Learning to refine object segments
PO Pinheiro, TY Lin, R Collobert, P Dollįr
European conference on computer vision, 75-91, 2016
9192016
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
8742019
Dropblock: A regularization method for convolutional networks
G Ghiasi, TY Lin, QV Le
Advances in neural information processing systems 31, 2018
6762018
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
4152017
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
3362021
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
3192020
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
3172020
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
3082015
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
2472016
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
2382021
Cross-view image geolocalization
TY Lin, S Belongie, J Hays
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1892013
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
1352020
Revisiting ResNets: Improved Training and Scaling Strategies
I Bello, LB Fedus, X Du, ED Cubuk, A Srinivas, TY Lin, J Shlens, BR Zoph
1042021
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
812021
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
802019
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Articles 1–20