עקוב אחר
Yonglong Tian
Yonglong Tian
Research Scientist, OpenAI
כתובת אימייל מאומתת בדומיין mit.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Supervised contrastive learning‏
P Khosla, P Teterwak, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ...‏
NeurIPS 2020, 2020‏
51142020
Contrastive multiview coding‏
Y Tian, D Krishnan, P Isola‏
arXiv preprint arXiv:1906.05849, 2019‏
27462019
Representation Learning on Graphs with Jumping Knowledge Networks‏
K Xu, C Li, Y Tian, T Sonobe, K Kawarabayashi, S Jegelka‏
International Conference on Machine Learning (ICML), 2018‏
23312018
What makes for good views for contrastive learning‏
Y Tian, C Sun, B Poole, D Krishnan, C Schmid, P Isola‏
NeurIPS 2020, 2020‏
14312020
Contrastive representation distillation‏
Y Tian, D Krishnan, P Isola‏
International Conference on Learning Representations (ICLR), 2020‏
12752020
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?‏
Y Tian, Y Wang, D Krishnan, JB Tenenbaum, P Isola‏
European Conference on Computer Vision (ECCV 2020), 2020‏
10622020
Through-wall human pose estimation using radio signals‏
M Zhao, T Li, M Abu Alsheikh, Y Tian, H Zhao, A Torralba, D Katabi‏
Proceedings of the IEEE conference on computer vision and pattern …, 2018‏
6742018
Deep Learning Strong Parts for Pedestrian Detection‏
Y Tian, P Luo, X Wang, X Tang‏
Computer Vision (ICCV), 2015 IEEE International Conference on, 1904-1912, 2015‏
6302015
Deepid-net: Deformable deep convolutional neural networks for object detection‏
W Ouyang, X Wang, X Zeng, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ...‏
Proceedings of the IEEE conference on computer vision and pattern …, 2015‏
5992015
Pedestrian detection aided by deep learning semantic tasks‏
Y Tian, P Luo, X Wang, X Tang‏
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 2015‏
5272015
RF-based 3D skeletons‏
M Zhao, Y Tian, H Zhao, MA Alsheikh, T Li, R Hristov, Z Kabelac, D Katabi, ...‏
ACM SIGCOMM 2018, 267-281, 2018‏
3932018
Switchable deep network for pedestrian detection‏
P Luo, Y Tian, X Wang, X Tang‏
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014‏
3122014
RF-based fall monitoring using convolutional neural networks‏
Y Tian, GH Lee, H He, CY Hsu, D Katabi‏
ACM UbiComp 2018 2 (3), 1-24, 2018‏
1912018
Deepid-net: multi-stage and deformable deep convolutional neural networks for object detection‏
W Ouyang, P Luo, X Zeng, S Qiu, Y Tian, H Li, S Yang, Z Wang, Y Xiong, ...‏
arXiv preprint arXiv:1409.3505, 2014‏
1802014
DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks‏
W Ouyang, X Zeng, X Wang, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ...‏
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1320-1334, 2017‏
1712017
Learning to Infer and Execute 3D Shape Programs‏
Y Tian, A Luo, X Sun, K Ellis, WT Freeman, JB Tenenbaum, J Wu‏
International Conference on Learning Representations (ICLR), 2019‏
1652019
Generative models as a data source for multiview representation learning‏
A Jahanian, X Puig, Y Tian, P Isola‏
arXiv preprint arXiv:2106.05258, 2021‏
1342021
Improving clip training with language rewrites‏
L Fan, D Krishnan, P Isola, D Katabi, Y Tian‏
Advances in Neural Information Processing Systems 36, 2023‏
1282023
Stablerep: Synthetic images from text-to-image models make strong visual representation learners‏
Y Tian, L Fan, P Isola, H Chang, D Krishnan‏
Advances in Neural Information Processing Systems 36, 2023‏
1002023
Divide and Contrast: Self-supervised Learning from Uncurated Data‏
Y Tian, OJ Henaff, A Oord‏
International Conference on Computer Vision (ICCV), 2021‏
1002021
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מאמרים 1–20