SVCL - Bo Liu

I am a Ph.D. candidate in the Statistical Visual Computing Lab (SVCL) with Prof. Nuno Vasconcelos at the University of California, San Diego. Before arriving to UC San Diego, I received my B.S. in Electronic Engineering from Tsinghua University, Beijing, China in June 2013.

I am interested in computer vision and machine learning. Previously, I worked on crowd counting, activity intensity in videos and transfer learning. Currently, my research focuses on few-shot learning and long-tailed recognition.

	Feature Space Transfer as Data Augmentation for Few-shot Classification and Single-view Reconstruction Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [ Website \| PDF \| Code ] Feature Space Transfer for Data Augmentation Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral Presentation), Salt Lake City, Utah, United States, 2018. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	Semi-supervised Long-tailed Recognition using Alternate Sampling Bo Liu, Haoxiang Li, Hao Kang, Nuno Vasconcelos, Gang Hua submitted to IEEE International Conference on Computer Vision (ICCV), 2021. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	Breadcrumbs: Adversarial Class-balanced Sampling for Long-tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos submitted to IEEE International Conference on Computer Vision (ICCV), 2021. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	GistNet: a Geometric Structure Transfer Network for Long-tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos submitted to IEEE International Conference on Computer Vision (ICCV), 2021. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos European Conference on Computer Vision (ECCV), Glasgow, United Kingdom, 2020. [ PDF \| BibTeX \| Code ]
	Automated High-Frequency Observations of Physical Activity using Computer Vision Jordan A. Carlson, Bo Liu, James F. Sallis, J. Aaron Hipp, Vincent S. Staggs, Jacqueline Kerr, Amy Papa, Kelsey Dean, Nuno M. Vasconcelos Medicine and Science in Sports and Exercise (MSSE), 2020. [ PDF \| BibTeX \| wiki ] Automated Ecological Assessment of Physical Activity: Advancing Direct Observation Jordan A. Carlson, Bo Liu, James F. Sallis, Jacqueline Kerr, J. Aaron Hipp, Vincent S. Staggs, Amy Papa, Kelsey Dean, Nuno M. Vasconcelos Medicine and Science in Sports and Exercise Vol. 14, no. 12, pp.1487, 2017. [ PDF \| BibTeX ]
	Few-shot Open-set Recognition using Meta-learning Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, United States, 2020. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	Exploit Clues from Views: Self-supervised and Regularized Learning for Multiview Object Recognition Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, United States, 2020. [ Website \| arXiv \| BibTeX \| Code ]
	Bayesian Model Adaptation for Crowd Counts Bo Liu, Nuno Vasconcelos IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015. [ Website \| PDF \| BibTeX \| Code \| Dataset ]

University of California, San Diego Ph.D. in Electrical Engineering	2016-2021 La Jolla, CA, United States
Dissertation: To Overcome Limitations of Computer Vision Datasets
Final Defense: To Overcome Long-tailed Problem in Computer Vision

University of California, San Diego
M.S. in Electrical Engineering

2013-2016
La Jolla, CA, United States

Tsinghua University
B.S. in Electrical Engineering

2009-2013
Beijing, China

	University of California, San Diego Graduate Student Resercher	San Diego, CA United States 2013-2021
	Wormpex AI Research Intern Research Scientist	Seattle, WA United States Summer, 2019 & Winter, 2021
	Microsoft Intern Research Scientist	Seattle, WA United States Summer, 2018

Updated: Jun. 07, 2021

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	Feature Space Transfer as Data Augmentation for Few-shot Classification and Single-view Reconstruction Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [ Website \| PDF \| Code ] Feature Space Transfer for Data Augmentation Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral Presentation), Salt Lake City, Utah, United States, 2018. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	Semi-supervised Long-tailed Recognition using Alternate Sampling Bo Liu, Haoxiang Li, Hao Kang, Nuno Vasconcelos, Gang Hua submitted to IEEE International Conference on Computer Vision (ICCV), 2021. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	Breadcrumbs: Adversarial Class-balanced Sampling for Long-tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos submitted to IEEE International Conference on Computer Vision (ICCV), 2021. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	GistNet: a Geometric Structure Transfer Network for Long-tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos submitted to IEEE International Conference on Computer Vision (ICCV), 2021. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos European Conference on Computer Vision (ECCV), Glasgow, United Kingdom, 2020. [ PDF \| BibTeX \| Code ]
	Automated High-Frequency Observations of Physical Activity using Computer Vision Jordan A. Carlson, Bo Liu, James F. Sallis, J. Aaron Hipp, Vincent S. Staggs, Jacqueline Kerr, Amy Papa, Kelsey Dean, Nuno M. Vasconcelos Medicine and Science in Sports and Exercise (MSSE), 2020. [ PDF \| BibTeX \| wiki ] Automated Ecological Assessment of Physical Activity: Advancing Direct Observation Jordan A. Carlson, Bo Liu, James F. Sallis, Jacqueline Kerr, J. Aaron Hipp, Vincent S. Staggs, Amy Papa, Kelsey Dean, Nuno M. Vasconcelos Medicine and Science in Sports and Exercise Vol. 14, no. 12, pp.1487, 2017. [ PDF \| BibTeX ]
	Few-shot Open-set Recognition using Meta-learning Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, United States, 2020. [ Website \| PDF \| arXiv \| BibTeX \| Code ]
	Exploit Clues from Views: Self-supervised and Regularized Learning for Multiview Object Recognition Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, United States, 2020. [ Website \| arXiv \| BibTeX \| Code ]
	Bayesian Model Adaptation for Crowd Counts Bo Liu, Nuno Vasconcelos IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015. [ Website \| PDF \| BibTeX \| Code \| Dataset ]

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