I am Yuan Yao, a second-year PhD Student in the Computer Science Department at University of Rochester, advised by Prof.
Jiebo Luo.
Before that, I received my B.S. degree from ACM honors class, Shanghai Jiao Tong University in 2022.
My research interests mainly focus on video generation and medical imaging.
Prompt Image to Life: Training-free Text-driven Image-to-video Generation
Jinxiu Liu, Yuan Yao, Bingwen Zhu, Fanyi Wang, Weijian Luo, Jingwen Su, Yanhao Zhang, Yuxiao Wang, Liyuan Ma, Qi Liu, Jiebo Luo, Guo-Jun Qi
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, under review
[paper]
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging
Jingyuan Chen, Yuan Yao, Mie Anderson, Natalie Hauglund, Celia Kjaerby, Verena Untiet, Maiken Nedergaard, Jiebo Luo.
IEEE International Conference on Digital Health (ICDH), 2023, Best Student Paper Award
[paper]
Beyond Object Recognition: A New Benchmark towards Object Concept Learning
Yonglu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Yuan Yao, Siqi Liu, Cewu Lu.
International Conference on Computer Vision (ICCV), 2023
[paper]
[homepage]
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
Wei Zhu, Runtao Zhou, Yuan Yao , Timothy Douglas Campbell, Rajat Kumar Jain, Jiebo Luo.
Medical Imaging with Deep Learning (MIDL), 2023
[paper]
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
Yuan Yao, Yuanhan Zhang, Zhenfei Yin, Jiebo Luo, Wanli Ouyang, Xiaoshui Huang.
Arxiv, 2022
[paper]
