Zeyu Zhang is an undergraduate researcher advised by Prof. Richard Hartley and Prof. Ian Reid. He is also a visiting student researcher at MIT CSAIL, working with Assoc. Prof. Stefanie Mueller. He is an incoming research assistant at USC, working with Asst. Prof. Yue Wang. His research interests are rooted in computer vision, focusing on generative 3D modeling and AI for health. Specifically, he is dedicated to advancing efficient and high-quality motion and avatar generation, as well as 3D medical imaging segmentation and representation learning. With extensive experience across multiple research disciplines, Zeyu actively explores cutting-edge advancements in both the foundational and applied aspects of artificial intelligence. He also collaborates closely with Asst. Prof. Hao Tang (PKU), Prof. Bohan Zhuang (ZJU), Dr. Yang Zhao (La Trobe), Dr. Minh-Son To (FHMRI), and many others. Zeyu is actively seeking PhD, RA, and internship in the US.
(07/19/2024) 🎉 Our paper Motion Avatar has been accepted to BMVC 2024!(07/02/2024) 🎉 Our paper Motion Mamba has been accepted to ECCV 2024!
(06/18/2024) 🎉 Our paper JointViT has been selected as oral presentation at MIUA 2024!
(05/14/2024) 🎉 Our paper JointViT has been accepted to MIUA 2024!
(03/13/2024) 🎉 Our paper Motion Mamba has been featured in Daily Papers!
(02/10/2024) 🎉 Our paper SegReg has been accepted to ISBI 2024!
Motion Mamba: Efficient and Long Sequence Motion Generation
Zeyu Zhang*, Akide Liu*, Ian Reid, Richard Hartley, Bohan Zhuang, Hao Tang✉
ECCV 2024
More Publications
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
Zeyu Zhang*, Yiran Wang*, Biao Wu*, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao✉
BMVC 2024
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA
Zeyu Zhang, Xuyin Qi, Mingxi Chen, Guangxi Li, Ryan Pham, Ayub Qassim, Ella Berry, Zhibin Liao, Owen Siggs, Robert Mclaughlin, Jamie Craig, Minh-Son To
MIUA 2024 Oral
SegReg: Segmenting OARs by Registering MR Images and CT Annotations
Zeyu Zhang, Xuyin Qi, Bowen Zhang, Biao Wu, Hien Le, Bora Jeong, Zhibin Liao, Yunxiang Liu, Johan Verjans, Minh-Son To, Richard Hartley✉
ISBI 2024
Thin-Thick Adapter: Segmenting Thin Scans Using Thick Annotations
Zeyu Zhang, Bowen Zhang, Abhiram Hiwase, Feng Chen, Akide Liu, Christen Barras, Biao Wu, Adam Wells, Daniel Ellis, Benjamin Reddi, Andrew Burgan, Minh-Son To, Ian Reid✉, Richard Hartley✉
Preprint
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
Shengbo Tan, Zeyu Zhang, Ying Cai✉, Daji Ergu, Lin Wu, Binbin Hu, Pengzhang Yu, Yang Zhao
Preprint
Sine Activated Low-Rank Matrices for Parameter Efficient Learning
Yiping Ji*, Hemanth Saratchandran*, Cameron Gordon, Zeyu Zhang, Simon Lucey✉
Preprint
XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training
Biao Wu*, Yutong Xie*, Zeyu Zhang, Minh Hieu Phan, Qi Chen, Ling Chen, Qi Wu✉
Preprint
BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset
Biao Wu, Yutong Xie, Zeyu Zhang, Jinchao Ge, Kaspar Yaxley, Suzan Bahadir, Qi Wu, Yifan Liu, Minh-Son To✉
MLMI 2023
A Deep Learning Approach to Diabetes Diagnosis
Zeyu Zhang, Khandaker Asif Ahmed, Md Rakibul Hasan, Tom Gedeon, Md Zakir Hossain
ACIIDS 2024
