Seuraa
Tianhong Li
Tianhong Li
PhD student of EECS, MIT
Vahvistettu sähköpostiosoite verkkotunnuksessa mit.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Multi-scale dense convolutional networks for efficient prediction
G Huang, D Chen, T Li, F Wu, L Van Der Maaten, KQ Weinberger
arXiv preprint arXiv:1703.09844 2, 2, 2017
639*2017
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
4242018
RF-based 3D skeletons
M Zhao, Y Tian, H Zhao, MA Alsheikh, T Li, R Hristov, Z Kabelac, D Katabi, ...
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data …, 2018
2322018
Few sample knowledge distillation for efficient network compression
T Li, J Li, Z Liu, C Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
90*2020
Making the invisible visible: Action recognition through walls and occlusions
T Li, L Fan, M Zhao, Y Liu, D Katabi
Proceedings of the IEEE/CVF International Conference on Computer Vision, 872-881, 2019
792019
Through-wall human mesh recovery using radio signals
M Zhao, Y Liu, A Raghu, T Li, H Zhao, A Torralba, D Katabi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
602019
Learning longterm representations for person re-identification using radio signals
L Fan, T Li, R Fang, R Hristov, Y Yuan, D Katabi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
552020
In-home daily-life captioning using radio signals
L Fan, T Li, Y Yuan, D Katabi
European Conference on Computer Vision, 105-123, 2020
262020
Targeted supervised contrastive learning for long-tailed recognition
T Li, P Cao, Y Yuan, L Fan, Y Yang, RS Feris, P Indyk, D Katabi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
172022
Quadratic upper bound for recursive teaching dimension of finite VC classes
L Hu, R Wu, T Li, L Wang
Conference on Learning Theory, 1147-1156, 2017
152017
Making contrastive learning robust to shortcuts
T Li, L Fan, Y Yuan, H He, Y Tian, R Feris, P Indyk, D Katabi
arXiv preprint arXiv:2012.09962, 2020
10*2020
Unsupervised learning for human sensing using radio signals
T Li, L Fan, Y Yuan, D Katabi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
82022
Pose estimation
D Katabi, A Torralba, H Zhao, M Zhao, M Abualsheikh, Y Tian
US Patent App. 16/225,837, 2019
82019
Exploring efficient strategies for minesweeper
J Tu, T Li, S Chen, C Zu, Z Gu
Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017
32017
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
T Li, H Chang, SK Mishra, H Zhang, D Katabi, D Krishnan
arXiv preprint arXiv:2211.09117, 2022
2022
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