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Yuan Shen

Department of Computer Science
University of Illinois at Urbana-Champaign
Email: yshen47 AT illinois.edu

Github | LinkedIn | CV | Google Scholar

I am a Computer Science PhD Candidate at UIUC, advised by Prof. Shenlong Wang. My research interest lies in 3D vision and generative modeling. I have fun experience in 2D/3D/multi-modal scene generations, 3D super resolution, 3D physical fields and other self-driving related projects

During my PhD, I am fortunate to be mentored by David Forsyth, Katie Driggs-Campbell, Wei-chiu Ma, Duygu Ceylan, Niloy Mitra, Anna Frühstück, Zexiang Xu, Paul Guerrero, Chuhang Zou, Xiaohan Fei, Bryan A. Plummer and many other amazing researchers.

I am co-organizing the external speaker seminar at UIUC vision group. If you are interested in presenting, please let me know!

I am in the job market starting in Fall 2025. I am looking for industry applied/research scientist or computer vision engineer position, please contact me via LinkedIn or email if there is a position that I might fit!

News

  • 2024.06   Our paper, "SuperGaussian: Repurposing Video Models for 3D Super Resolution", is accepted in ECCV 2024.
  • 2024.02   Our paper, "Physical Property Understanding from Language-Embedded Feature Fields", is accepted in CVPR 2024.
  • 2023.09   Our paper, "Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving", is accepted in the IEEE Robotics and Automation Letters (RA-L).
  • 2023.08   Internship at Adobe as Research Scientist in San Jose, CA
  • 2023.05   Internship at Amazon as Applied Scientist in Bellevue, WA
  • 2022.10   Our paper, "To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles", won Best Paper Award at NeurIPS 2022 Progress and Challenges in Building Trustworthy Embodied AI Workshop (TEA 2022).
  • 2022.09   Our paper, "SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping", is accepted in NeurIPS 2022.
  • 2022.06   Our paper, "CoCAtt: A Cognitive-Conditioned Driver Attention Dataset", is accepted at ITSC 2022.
  • 2021.11   Passed my PhD Qualifying Exam! Very excited to be admitted to PhD Candidancy at UIUC!
  • 2021.07   Our paper, "Effectively Leveraging Attributes for Visual Similarity", is accepted at International Conference on Computer Vision, ICCV 2021.
  • 2021.03   Our peer-reviewed extended abstract, "AutoPreview: A Framework for Autopilot Behavior Understanding", is accepted in CHI2021 Late Breaking Work
  • 2019.06   Internship at Reconstruct Inc. as Computer Vision Engineer in Champaign, IL
  • 2019.05   Graduated with highest honor in UIUC and start CS PhD at UIUC

Publications (Show selected / Show all by date /

(* indicates equal contribution)
 
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Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Früshtück
ECCV 2024 | project | paper
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Albert Jianqiao Zhai, Yuan Shen, Emily Chen, Gloria Wang, Xinlei Wang, Sheng Wang, Kaiyu Guan, Shenlong Wang
CVPR 2024 | paper | project
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Yuan Shen*, Bhargav Chandaka*, Zhi-hao Lin, Albert Zhai, Hang Cui, David Forsyth, and Shenlong Wang

To present at ICRA 2024

IEEE Robotics and Automation Letters (RA-L) | paper | project
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Yuan Shen, Shanduojiao Jiang, Yanlin Chen, Eileen Yang, Xilun Jin, Yuliang Fan, Katie Driggs-Campbell
Best Paper Award at NeurIPS 2022 TEA Workshop | paper | poster | video | dataset
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Yuan Shen, Niviru Wijayaratne & Pranav Sriram, Aamir Hasan, Peter Du and Katherine Driggs-Campbell
ITSC 2022 | project | paper | dataset
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Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan Plummer
ICCV 2021 | paper
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Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs Campbell
CHI 2021 Late Breaking Work | paper

Contact

  • Office 3307A, Thomas Siebel Center, Univeristy of Illinois at Urbana-Champaign