Haotian Liu

Hi there, I am a third-year computer science Ph.D. student at University of Wisconsin-Madison, advised by Prof. Yong Jae Lee.

Before this, I obtained my bachler's degree (with honor) at Zhejiang University. I at that time researched under the supervision of Prof. Xiaogang Jin and Prof. Fei Wu.

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I am generally interested in computer vision and machine learning, especially efficient algorithms on visual perception and understanding. My recent focus is on building algorithms that require minimal human supervision and on creating efficient on-device visual recognition systems.

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
Chunyuan Li*, Haotian Liu*, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, and Jianfeng Gao
arXiv 2022
(*equal contribution)
[project page] [arXiv] [toolkit]

Masked Discrimination for Self-Supervised Learning on Point Clouds
Haotian Liu, Mu Cai, and Yong Jae Lee
Proceedings of the European Conference on Computer Vision (ECCV), 2022
[arXiv] [code]

YolactEdge: Real-time Instance Segmentation on the Edge
Haotian Liu*, Rafael A. Rivera-Soto*, Fanyi Xiao, and Yong Jae Lee
IEEE International Conference on Robotics and Automation (ICRA), 2021
(*equal contribution)
[arXiv] [code] [talk] [demo] [Colab Notebook] [Colab Notebook (TensorRT)]

Identity from here, Pose from there: Self-supervised Disentanglement and Generation of Objects using Unlabeled Videos
Fanyi Xiao, Haotian Liu, and Yong Jae Lee
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019

Operation strategy of public building: Implications from trade-off between carbon emission and occupant satisfaction.
Yimeng Chen, Haotian Liu, and Lei Shi
Journal of Cleaner Production (JCLP), 2018