SVCL - Pei Wang

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Pei Wang

Pei Wang
Department of Electrical and Computer Engineering,
University of California, San Diego
9500 Gilman Drive, Mail code 0409
La Jolla, CA 92093-0409

EBU 1, Room 4606

Email: pew062@eng.ucsd.edu

Bio:

I am a third-year Ph.D. student advised by professor Nuno Vasconcelos, working on machine learning, deep learning and their applications on computer vision, more specifically on explainable AI, visualization, domain adaptation, machine teaching, stylization, etc.

Research:

My research is on trying to explore the powerfulness of self-awareness. A system is self-aware if it can quantify the confidence with which it works. My recent work mainly focuses on employing the self-awareness to solve problems on explainable AI, like counterfactual explanations.

I am always actively seeking research intern positions. Feel free to reach out to me if you are interested.

News:

I will intern at Adobe in summer 2020.

Representative Publications:

SCOUT: Self-aware Discriminant Counterfactual Explanations
Pei Wang and Nuno Vasconcelos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Seattle, Washington, United States, 2020
[ project | poster| paper | BibTex ]

Deliberative Explanations: visualizing network insecurities
Pei Wang and Nuno Vasconcelos
Conference on Neural Information Processing Systems (NeurIPS)
Vancouver, Canada, 2019
[ project | poster | pdf | BibTex ]

Towards Realistic Predictors
Pei Wang and Nuno Vasconcelos
European Conference on Computer Vision (ECCV)
Munich, Germany, 2018 (Oral presentation)
[ project | ps | pdf | BibTex ]

Graph Based Skeleton Motion Representation and Similarity Measurement for Action Recognition
Pei Wang, Chunfeng Yuan, Weiming Hu, Bing Li and Yanning Zhang
European Conference on Computer Vision (ECCV)
Amsterdam, the Netherlands, 2016
[ project | ps | pdf | BibTex ]

Awards:

UCSD ECE department FellowShip, Sep 2017

National Scholarship, Nov 2013

National Scholarship, Nov 2012

Last update: Feb, 2020

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Bio:
I am a third-year Ph.D. student advised by professor Nuno Vasconcelos, working on machine learning, deep learning and their applications on computer vision, more specifically on explainable AI, visualization, domain adaptation, machine teaching, stylization, etc.
Research:
My research is on trying to explore the powerfulness of self-awareness. A system is self-aware if it can quantify the confidence with which it works. My recent work mainly focuses on employing the self-awareness to solve problems on explainable AI, like counterfactual explanations.
I am always actively seeking research intern positions. Feel free to reach out to me if you are interested.
News:
I will intern at Adobe in summer 2020.
Representative Publications:
	SCOUT: Self-aware Discriminant Counterfactual Explanations Pei Wang and Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, Washington, United States, 2020 [ project \| poster\| paper \| BibTex ]
	Deliberative Explanations: visualizing network insecurities Pei Wang and Nuno Vasconcelos Conference on Neural Information Processing Systems (NeurIPS) Vancouver, Canada, 2019 [ project \| poster \| pdf \| BibTex ]
	Towards Realistic Predictors Pei Wang and Nuno Vasconcelos European Conference on Computer Vision (ECCV) Munich, Germany, 2018 (Oral presentation) [ project \| ps \| pdf \| BibTex ]
	Graph Based Skeleton Motion Representation and Similarity Measurement for Action Recognition Pei Wang, Chunfeng Yuan, Weiming Hu, Bing Li and Yanning Zhang European Conference on Computer Vision (ECCV) Amsterdam, the Netherlands, 2016 [ project \| ps \| pdf \| BibTex ]
Awards:
UCSD ECE department FellowShip, Sep 2017 National Scholarship, Nov 2013 National Scholarship, Nov 2012
Last update: Feb, 2020