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		Pei Wang Majoring in Machine Learning and Data Science, University of California, San Diego Email: [email protected]

Bio:
I am a Ph.D. candidate advised by professor Nuno Vasconcelos, working on machine learning, deep learning and their applications on computer vision, more specifically on explainable AI, visualization, image generation and synthesis, object detection, domain adaptation, machine teaching for scalable learning, stylization, etc.
News:
One paper was accepted to T-PAMI. One paper was accepted to CVPR 2022. One paper was accepted to ICCV 2021. Four papers were accepted to CVPR 2021, three first-author papers and one oral. I will intern at Amazon AWS in summer 2021.
Representative Publications:
	A Generalized Explanation Framework for Visualization of Deep Learning Model Predictions Pei Wang, and Nuno Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023 [ code| poster| paper| supp| BibTex ]
	Omni-DETR: Omni-Supervised Object Detection with Transformers Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto IEEE Conference on Computer Vision and Pattern Recognition (CVPR) New Orleans, 2022 [ code| poster| paper| supp| BibTex ]
	A Machine Teaching Framework for Scalable Recognition Pei Wang, Nuno Vasconcelos IEEE International Conference on Computer Vision (ICCV) Virtual, 2021 [ code| poster| paper| supp | BibTex ]
	Gradient-Based Algorithms for Machine Teaching Pei Wang, Kabir Nagrecha, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Virtual, 2021 [ code | poster | paper | supp | BibTex ]
	Rethinking and Improving the Robustness of Image Style Transfer Pei Wang, Yijun Li, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Virtual, 2021 (Oral presentation & Best Paper Candidate) [ code | poster| paper | BibTex ]
	IMAGINE: Image Synthesis by Image-Guided Model Inversion Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Virtual, 2021 [ code | poster | paper | BibTex ]
	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 [ code | poster | paper | BibTex ]
	Deliberative Explanations: visualizing network insecurities Pei Wang and Nuno Vasconcelos Conference on Neural Information Processing Systems (NeurIPS) Vancouver, Canada, 2019 [ code | poster | pdf | BibTex ]
	Towards Realistic Predictors Pei Wang and Nuno Vasconcelos European Conference on Computer Vision (ECCV) Munich, Germany, 2018 (Oral presentation) [ code | poster | 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 ]
Professional Experience:
	University of California, San Diego Graduate Student Researcher San Diego, United States, 2017-Now
	Adobe Research Intern Research Scientist Seattle, United States, Summer 2020
	Amazon AWS Applied Scientist Intern Virtual, United States, Summer 2021
Awards:
UCSD ECE department FellowShip, Sep 2017 National Scholarship, Nov 2013 National Scholarship, Nov 2012
Last update: Dec, 2021

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