Zicheng Duan

I am a second-year Ph.D. student in Computer Science at the Australian Institute for Machine Learning (AIML), University of Adelaide, and I am fortunate to be supervised by Prof. Lingqiao Liu. Before that, I completed my Master's degree in Machine Learning and Computer Vision from the Australian National Universitywhere I had the opportunity to work on multi-camera detection research under the guidance of Prof. Liang Zheng.

My current research interests focus on AIGC, particularly investigating controllable generative models for image, video, and multi-modality media generation. Previously, I also explored areas such as multiview detection and robotic vision.

I am open to internship opportunities and collaborations, feel free to reach out!

Email  /  Scholar  /  Linkedin  /  Github

profile photo

Research Outputs

prl EZIGen: Enhancing zero-shot subject-driven image generation with precise subject encoding and decoupled guidance
Zicheng Duan, Yuxuan Ding, Chenhui Gou Ziqin Zhou Ethan Smith, Lingqiao Liu
arXiv preprint 2024
[Demo Page/Paper/GitHub Repo]
prl Multiview Detection with Cardboard Human Modeling
Jiahao Ma*, Zicheng Duan*, Liang Zheng, Chuong-Nguyen
ACCV 2024
[Paper]
prl Voxelized 3D Feature Aggregation for Multiview Detection
Jiahao Ma, Jinguang Tong, Shan Wang, Zicheng Duan, Liang Zheng, Chuong-Nguyen
DICTA 2024
[Code / Dataset / Paper]
prl Neurons perception dataset for RoboMaster AI challenge
Haoran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Doingbin Zhao
IJCNN 2022
[Paper/Code]
prl MVM3Det: A Novel Method for Multi-view Monocular 3D Detection
Haoran Li, Zicheng Duan, Mingjun Ma, Yaran Chen, Jiaqi Li, Doingbin Zhao
Arxiv Preprint. (2021)
[Paper/Code]

Projects

prl Unofficial implementation of paper The Chosen One
[Paper/ Code]

Competitions

prl ICRA 2021 Wrokshop RoboMaster Competition

Team Neurons, ranks 6/26


Created using the source code from Jon Barron's website