Tianhong Li
Tianhong Li
PhD student of EECS, MIT
Verified email at mit.edu
Title
Cited by
Cited by
Year
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, 2017
424*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
2762018
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
1252018
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
42*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
392019
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
252019
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
182020
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
In-Home daily-life captioning using radio signals
L Fan, T Li, Y Yuan, D Katabi
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
72020
Pose estimation
D Katabi, A Torralba, H Zhao, M Zhao, M Abualsheikh, Y Tian
US Patent App. 16/225,837, 2019
32019
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
22017
Information-Preserving Contrastive Learning for Self-Supervised Representations
T Li, L Fan, Y Yuan, H He, Y Tian, D Katabi
arXiv preprint arXiv:2012.09962, 2020
12020
Targeted Supervised Contrastive Learning
T Li, P Cao, Y Yuan, Y Yang, L Fan, D Katabi
2021
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