Zhaoyang Xia I am a Ph.D. student in the Department of Computer Science at Rutgers University, advised by Distinguished Professor Dimitris Metaxas. Piror to this, I finished my Master Program in Computer science (Data Science track) at Rutgers. I studied mathamtics and data science when I was an undergraduate student in Fudan University. My current research interests lie primarily in generative models, such as diffusion models and Large Language Models. I am also interested in representation learning, video/image understanding, such as action detection, object segmentation or action recognition. My previous projects are about utilizing generative models and image animation models for applications in video anonymization. I also have experience in using multi-modal large language models for applications such as visual storytelling and ideation. |
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Sign Language Video Anonymization
Zhaoyang Xia, Yuxiao Chen, Qilong Zhangli, Matt Huenerfauth, Carol Neidle and Dimitri Metaxas Proceedings of the 10th Workshop on the Representation and Processing of Sign Languages (sign-lang@LREC 2022) |
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American sign language video anonymization to support online participation of deaf and hard of hearing users
Sooyeon Lee, Abraham Glasser, Becca Dingman, Xia, Zhaoyang, Dimitris Metaxas, Carol Neidle, and Matt Huenerfauth. ASSET |
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Hierarchically self-supervised transformer for human skeleton representation learning
Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Xia, Zhaoyang, Shijie Geng, Ligong Han, and Dimitris N. Metaxas. ECCV 2022 |
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TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Xia, Zhaoyang, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, et al. MICCAI 2022 |
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Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images
Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Haiming Tang, He Wang, Mu Zhou, Dimitris Metaxas MICCAI 2022 |
Templete stolen from Jon Barron and Georgia Gkioxari