Shuhong Zheng

I'm a PhD student in computer science at University of Toronto, advised by Prof. Igor Gilitschenski. Prior to that, I obtained my M.S. in computer science at University of Illinois Urbana-Champaign supervised by Prof. Yu-Xiong Wang, and my B.S. in computer science at Peking University supervised by Prof. Jiaying Liu and worked as an intern student in STRUCT Team.

My research interests mainly focus on computer vision, with experiences in scene understanding, generative models and computational photography.

Email / CV / Google Scholar / GitHub / Twitter

Publications/Manuscripts

Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, and Yu-Xiong Wang
International Conference on Learning Representations (ICLR), 2025
Paper / arXiv / Code / Website

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, and Yu-Xiong Wang
Conference on Neural Information Processing Systems (NeurIPS), 2024
Paper / arXiv / Code / Website

3D-LLM: Injecting the 3D World into Large Language Models
Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, and Chuang Gan
Conference on Neural Information Processing Systems (NeurIPS), 2023
(Spotlight)
Paper / arXiv / Code / Website

Multi-task View Synthesis with Neural Radiance Fields
Shuhong Zheng*, Zhipeng Bao*, Martial Hebert, and Yu-Xiong Wang
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Paper / arXiv / Code / Website

Presention on Generative Models for Computer Vision Workshop at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
Mingtong Zhang*, Shuhong Zheng*, Zhipeng Bao, Martial Hebert, and Yu-Xiong Wang
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
(First-Round Acceptance)
Paper / arXiv / Code

Presention on AI for Creative Video Editing and Understanding Workshop at European Conference on Computer Vision (ECCV), 2022.

Competitions

Winner of the Grand Challenge on IEEE International Workshop on Multimedia Signal Processing (MMSP), 2021. First Place on both IR (Image Restoration) track and IE (Image Editing) track, and the Final Winner of the MMSP 2021 Grand Challenge.

Teaching Experiences

Teaching Assistant, CSC 478 - Robotic Perception, University of Toronto, Winter 2025
Teaching Assistant, CSC 2541 - Topics in Machine Learning: Generative AI for Images, University of Toronto, Fall 2024
Teaching Assistant, CS 445 - Computational Photography, UIUC, Spring 2024 (Head TA), Spring 2023
Teaching Assistant, CS 543 - Computer Vision, UIUC, Fall 2023
Teaching Assistant, CS 361 - Probability and Statistics for Computer Science, UIUC, Fall 2022

Scholarships and Awards

Outstanding Reviewer, CVPR 2024
Conference Presentation Award, University of Illinois Urbana-Champaign, 2023
Excellent Graduate, Peking University, 2022
Merit Student, Peking University, 2021
Peking University Scholarship (Third-Class), Peking University, 2021
Academic Excellence Award, Peking University, 2020
Academic Excellence Award, Peking University, 2019

Academic Services

Conference Reviewer: ICML 2024-2025, CVPR 2023-2025, ICLR 2024-2025, NeurIPS 2023-2024, ICCV 2023, ECCV 2024, SIGGRAPH 2025, ACCV 2024, AAAI 2025
Journal Reviewer: TPAMI
Workshop Reviewer: ICLR 2024 AGI Workshop: How Far Are We From AGI?
Organizing Committee: Machine Learning and Signal Processing Session Chair, 19th Coordinated Science Laboratory Student Conference (CSLSC), 2024

Design and source code from Jon Barron's website