Chengyang Zhao
I am a final-year undergraduate student at Yuanpei College, Peking University in China, majoring in Data Science and Big Data Technology (Statistics + Computer Science).
I am fortunate to be advised by Prof. He Wang. I am also privileged to work closely with Prof. Chuang Gan and Prof. Yunzhu Li.
My research interest is broadly in computer vision (especially 3D vision), robotics, and multi-modal learning. My research objective is to build an intelligent agent with comprehensive perception, reasoning, and execution capabilities developed from multi-modal information, which can interact effectively and efficiently with the real world.
Email  / 
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Github
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GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts
Haoran Geng*,
Helin Xu*,
Chengyang Zhao*,
Chao Xu,
Li Yi,
Siyuan Huang,
He Wang
(* Equal contribution with the order determined by rolling dice.)
CVPR, 2023, Highlight (top 2.5% of all submissions) with all top ratings
[paper]
[webpage]
[code]
[dataset]
We propose to learn cross-category generalizable object perception and manipulation skills via Generalizable and Actionable Parts (GAParts). We present GAPartNet, a large-scale interactive dataset with rich, part-level annotations for both perception and interaction tasks.
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TextPSG: Panoptic Scene Graph Generation from Textual Descriptions
Chengyang Zhao,
Yikang Shen,
Zhenfang Chen,
Mingyu Ding,
Chuang Gan
ICCV, 2023
[paper]
[webpage]
[code]
We introduce a novel problem aiming to learn panoptic scene graph generation entirely from textual descriptions. We design a modularized proposal-free framework, which not only breaks the generalization limitation within previous detector-based methods but also learns extensive and various object semantics and relation predicates from text.
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Controllable 3D Scene Editing with Sparse Neural Radiance Fields
Mingtong Zhang*,
Chengyang Zhao*,
Yining Hong,
Hongsheng Lu,
Chuang Gan
(* Equal contribution.)
CVPR, 2024, In Submission
We propose a novel scene representation Sparse Neural Radiance Fields to compartmentalize the 3D scene into specialized expert fields, and design a DINO-based gating mechanism for automatic semantics-based scene decomposition across the expert fields during reconstruction. Our proposed representation effectively enhances controllability, enabling more precise and intuitive editing on 3D scenes.
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University of Illinois Urbana-Champaign
2023.06 - Present
Undergraduate Research Intern (Remote)
Research Advisor: Prof. Yunzhu Li
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Massachusetts Institute of Technology
2022.08 - 2023.05
Visiting Undergraduate Student
Research Advisor: Dr. Chuang Gan
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Peking University
2021.05 - Present
Undergraduate Research Intern
Research Advisor: Prof. He Wang
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Peking University
2019.09 - Present
Undergraduate Student, Yuanpei College
GPA ranking: 2/13
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Selected Awards and Honors
• SenseTime Scholarship (30 undergraduate students/year in China), SenseTime, 2023
• Third Prize of Peking University Scholarship, Peking University, 2022
• Award for Academic Excellence, Peking University, 2022
• Xiaomi Scholarship, Peking University, 2020
• Merit Student, Peking University, 2020
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Thanks Jon Barron for this amazing template :D
Last Updated: Dec. 30, 2023
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