Ruihao Xia
This is Ruihao Xia’s personal homepage.
A short introduction
Ruihao Xia is a PhD student from the East China University of Science and Technology (ECUST) who specializes in the field of computer vision and deep learning. His research is centered on Event-based Vision, Cross-Modality Domain Adaptation, and Semantic Segmentation. Xia received his B.S. in Mechanical Engineering also from ECUST, where he got excellent grades and developed a passion for Computer Vision.
Publications
Towards Natural Image Matting in the Wild via Real-Scenario Prior
Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou
arxiv, 2024. [Paper][Code]
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. [Paper][Code]
Cross-Class Domain Adaptive Semantic Segmentation with Visual Language Models
Wenqi Ren, Ruihao Xia, Meng Zheng, Ziyan Wu, Yang Tang, Nicu Sebe
ACM Multimedia (ACM MM), 2024. [Paper]
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation
Ruihao Xia, Chaoqiang Zhao, Meng Zheng, Ziyan Wu, Qiyu Sun, Yang Tang
IEEE Conference on International Conference on Computer Vision (ICCV), 2023. [Paper][Code]
Motion Planning and Control of a Morphing Quadrotor in Restricted Scenarios
Guiyang Cui, Ruihao Xia, Xin Jin, Yang Tang
IEEE Robotics and Automation Letters (RA-L), 2024. [Paper]
Motion Planning and Control of Hybrid Flying-Crawling Quadrotors
Dongnan Hu, Ruihao Xia, Xin Jin, Yang Tang
arxiv, 2023. [Paper]
Modality Translation and Fusion for Event-based Semantic Segmentation
Ruihao Xia, Chaoqiang Zhao, Qiyu Sun, Shuang Cao, Yang Tang
IFAC Control Engineering Practice (CEP), 2023. [Paper]
Education
East China University of Science and Technology (ECUST), Shanghai, China
[2021-Present] PhD in Control Science and Engineering
- Supervisor: Prof. Dr. Yang Tang (IEEE Fellow) [Google Scholar]
[2017-2021] B.S. in Mechanical Engineering
- GPA: 3.71/4.0
- Honors and Awards:
- 2021 Shanghai Excellent Graduates
- 2020 National Undergraduate Smart Car Competition 2nd Prize
- 2019-2020 National Scholarship
- 2019 Shanghai Undergraduate Creative Robot Competition 2nd Prize
- 2018-2019 National Scholarship