Tianhong Li

According to our database, Tianhong Li authored at least 27 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Machine-Learning-Based Framework for Retrieving Water Quality Parameters in Urban Rivers Using UAV Hyperspectral Images.

Bing Liu, Tianhong Li

Remote. Sens., March, 2024

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian

CoRR, 2024

Autoregressive Image Generation without Vector Quantization.

Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He

CoRR, 2024

Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency.

Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Self-conditioned Image Generation via Generating Representations.

Tianhong Li, Dina Katabi, Kaiming He

CoRR, 2023

Reparo: Loss-Resilient Generative Codec for Video Conferencing.

Tianhong Li, Vibhaalakshmi Sivaraman, Lijie Fan, Mohammad Alizadeh, Dina Katabi

CoRR, 2023

Addressing Feature Suppression in Unsupervised Visual Representations.

Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis.

Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Learning for Human Sensing Using Radio Signals.

Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Targeted Supervised Contrastive Learning for Long-Tailed Recognition.

Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Vibration analysis for marine radar frequency synthesis module.

Tianhong Li, Zhenyuan Zhang, Darong Huang

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

Information-Preserving Contrastive Learning for Self-Supervised Representations.

Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Dina Katabi

CoRR, 2020

In-Home Daily-Life Captioning Using Radio Signals.

Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi

Proceedings of the Computer Vision - ECCV 2020, 2020

Few Sample Knowledge Distillation for Efficient Network Compression.

Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Longterm Representations for Person Re-Identification Using Radio Signals.

Lijie Fan, Tianhong Li, Rongyao Fang, Rumen Hristov, Yuan Yuan, Dina Katabi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Through-Wall Human Mesh Recovery Using Radio Signals.

Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Making the Invisible Visible: Action Recognition Through Walls and Occlusions.

Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu, Dina Katabi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification.

Ran Liu, Wenkai Li, Xiaoping Liu, Xingcheng Lu, Tianhong Li, Qinghua Guo

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Knowledge Distillation from Few Samples.

Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang

CoRR, 2018

RF-based 3D skeletons.

Mingmin Zhao, Yonglong Tian, Hang Zhao, Mohammad Abu Alsheikh, Tianhong Li, Rumen Hristov, Zachary Kabelac, Dina Katabi, Antonio Torralba

Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

Multi-Scale Dense Networks for Resource Efficient Image Classification.

Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger

Proceedings of the 6th International Conference on Learning Representations, 2018

Through-Wall Human Pose Estimation Using Radio Signals.

Mingmin Zhao, Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba, Dina Katabi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Multi-Scale Dense Convolutional Networks for Efficient Prediction.

Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger

CoRR, 2017

Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes.

Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang

Proceedings of the 30th Conference on Learning Theory, 2017

Exploring Efficient Strategies for Minesweeper.

Jinzheng Tu, Tianhong Li, Shiteng Chen, Chong Zu, Zhaoquan Gu

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A web-based computer aided system for liver surgery planning: initial implementation on RayPlus.

Ming Luo, Rong Yuan, Zhi Sun, Tianhong Li, Qingguo Xie

Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

2004

Land-use adjustment with a modified soil loss evaluation method supported by GIS.

Tianhong Li, Jinren Ni, W. X. Ju

Future Gener. Comput. Syst., 2004