Yuan Shen

I am a Computer Science PhD Candidate at UIUC. My PhD advisor is Prof. Shenlong Wang. During my Phd, I also collaborate with Prof. Katie Driggs-Campbell. My research area is Computer Vision. Specifically, I am working on exciting projects related to infinite 3D scene generation.

Previously, I completed my Bachelor's degree with the highest honor at UIUC, with a major in Computer Science and minor in Mathematics. I was a research assistant at the Data-Driven Design group, led by Prof. Ranjitha Kumar. My undergrad research focused on fashion AI.

I am looking for Computer Vision research internship for 2023. I would appreciate a ping if you see a job I might fit.

E-Mail | Github | LinkedIn | CV | Google Scholar

News
September 2022 Our paper, "SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping", is accepted at NeurIPS 2022 (Acceptance Rate: 25.6%).
June 2022 Our paper, "CoCAtt: A Cognitive-Conditioned Driver Attention Dataset", is accepted at ITSC 2022.
November 2021 Passed my PhD Qualifying Exam! Very excited to be admitted to PhD Candidancy at UIUC!
July 2021 Our paper, "Effectively Leveraging Attributes for Visual Similarity", is accepted at International Conference on Computer Vision, ICCV 2021.
April 2021 Our peer-reviewed workshop paper, "Effectively Leveraging Attributes for Visual Similarity", is accepted at Fourth Workshop on Computer Vision for Fashion, Art and Design at CVPR 2021.
March 2021 Our peer-reviewed extended abstract, "AutoPreview: A Framework for Autopilot Behavior Understanding", is accepted at CHI2021 Late Breaking Work (Acceptance Rate: 39%).
Jan 2021 Our peer-reviewed extended abstract, "Building Mental Models through Preview of Autopilot Behaviors", is accepted at TRAITS workshop at HRI2021.
March 2020 Our workshop Paper, "Can AI decrypt fashion jargon for you?", is accepted at AI4HIC workshop at CHI 2020.
June 2019 Intern at Reconstruct Inc.
May 2019 Graduated with highest honor in UIUC.
April 2019 Accepted CS PhD offer at UIUC and joined Data Driven Design group led by Prof. Kumar.
Publications
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SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping
Yuan Shen, Wei-Chiu Ma, Shenlong Wang
Thirty-sixth Conference on Neural Information Processing Systems. (NeurIPS 2022)
codebase

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CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
Yuan Shen, Niviru Wijayaratne & Pranav Sriram, Aamir Hasan, Peter Du and Katherine Driggs-Campbell
The 25th IEEE International Conference on Intelligent Transportation Systems. (ITSC 2022)
paper
project

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Effectively Using Attributes for Visual Similarity
Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan Plummer
International Conference on Computer Vision (IEEE). (ICCV 2021)
link

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AutoPreview: A Framework for Autopilot Behavior Understanding
Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs Campbell
SIGCHI Conference on Human Factors in Computing Systems (CHI 2021) Late Breaking Work (Acceptance Rate: 39%)
arxiv

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Building Mental Models through Preview of Autopilot Behaviors
Yuan Shen, Niviru Wijayaratne, Katherine Driggs Campbell
The Road to a successful HRI: AI, Trust and ethicS (TRAITS) Workshop at ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021)
arxiv

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To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
Yuan Shen, Shanduojiao Jiang, Yanlin Chen, Eileen Yang, Xilun Jin, Yuliang Fan, Katie Driggs-Campbell
arxiv

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Can AI decrypt fashion jargon for you?
Yuan Shen, Shanduojiao Jiang, Muhammad Rizky Wellyanto, Ranjitha Kumar
SIGCHI Conference on Human Factors in Computing Systems (CHI 2020)
Workshop paper at AI4HCI workshop
arxiv

Affiliations
       
Teaching Assistant

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