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Tianhong Li
Tianhong Li
PhD student of EECS, MIT
Verified email at mit.edu - Homepage
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 (2), 2017
1038*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
6632018
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
3872018
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
2022022
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
181*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
1622019
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
1182019
Mage: Masked generative encoder to unify representation learning and image synthesis
T Li, H Chang, S Mishra, H Zhang, D Katabi, D Krishnan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1142023
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
1082020
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
612020
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
432022
Autoregressive Image Generation without Vector Quantization
T Li, Y Tian, H Li, M Deng, K He
arXiv preprint arXiv:2406.11838, 2024
252024
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
242017
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 3, 2020
22*2020
Return of Unconditional Generation: A Self-supervised Representation Generation Method
T Li, D Katabi, K He
arXiv preprint arXiv:2312.03701, 2023
18*2023
Pose estimation
D Katabi, A Torralba, H Zhao, M Zhao, M Abualsheikh, Y Tian
US Patent App. 16/225,837, 2019
162019
Reparo: Loss-Resilient Generative Codec for Video Conferencing
T Li, V Sivaraman, P Karimi, L Fan, M Alizadeh, D Katabi
arXiv preprint arXiv:2305.14135, 2023
42023
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
42017
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
T Li, S Bhardwaj, Y Tian, H Zhang, J Barber, D Katabi, G Lajoie, H Chang, ...
arXiv preprint arXiv:2310.03734, 2023
22023
Fluid: Scaling autoregressive text-to-image generative models with continuous tokens
L Fan, T Li, S Qin, Y Li, C Sun, M Rubinstein, D Sun, K He, Y Tian
arXiv preprint arXiv:2410.13863, 2024
12024
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