Yuan Shen
|
I am a Computer Science PhD Candidate at UIUC. My PhD advisor is Prof. Shenlong Wang. I am widely interested in topics related to 3D generative modeling in computer vision. My past and ongoing projects involve scene-level generation, editing, 3D representation and 3D-related downstream application. During my Phd, I am fortunate to collaborate with 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, Shengze Wang and many other amazing researchers. 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 co-organizing the external speaker seminar at UIUC vision group. If you are interested in presenting, please let me know! Inspired by Wei-chiu Ma, I have decided to commit 1~2 hours every week to provide guidance, suggestions, and/or mentorships for students from underrepresented groups or whoever is in need. Please fill in this form if you are interested. E-Mail | Github | LinkedIn | CV | Google Scholar |
|
|
|
| Sept 2023 | Our paper, "Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving", is accepted for publication in the IEEE Robotics and Automation Letters (RA-L). |
| Aug 2023 | Intern at Adobe as Research Scientist in San Jose, CA |
| May 2023 | Intern at Amazon as Applied Scientist in Bellevue, WA |
| October 2022 | 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). |
| October 2022 | Our paper, "To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles", is accepted at NeurIPS 2022 Progress and Challenges in Building Trustworthy Embodied AI Workshop (TEA 2022). |
| September 2022 | Our paper, "SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping", is accepted at NeurIPS 2022. |
| 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 AI4HCI 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. |
|
|
 |
|
 |
|
 |
|
 |
|
 |
|
 |
|
|
|
|
|
|
|
- Introduction to Machine Perception (CS 498) - Spring 2022
- Computer Vision (CS 543) - Fall 2021
- Computational Photography (CS 445) - Fall 2020
- Computer Vision (CS 543) - Spring 2020
- Computational Photography (CS 445) - Fall 2019
Template credits: Saurabh |