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 University. During which I was advised by Prof. Liang Zheng to do research projects on Multiview Detection.

My current research interest lies in generative models, specifically investigating diffusion models for controllable image/video/multi-modality generation. Previously I also investigated multiview detection.

Email  /  Scholar  /  Linkedin  /  Github

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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
Under review.
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