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I am a first-year master's student in electrical engineering and information technology at the Technical University of Munich . I am now a master's student of TUM-CVG, TUM-DI-LAB under the co-supervision of Prof. Dr. Daniel Cremers, Dr. Yan Xia (TUM CVG) and Dr. Chuanxia Zheng (Oxford VGG). I did a research internship at Zhejiang University under the supervision of Prof. Yiyi Liao. I am now a Third-year Computer Science Master's student at CAD Research Center, Tongji University. I did my B.Sc. in Information and Computing Science (Embedded Software) at Nanjing Tech University. My research interests are computer vision and machine learning, specifically, learning-based methods for 3D shape analysis, Geometry processing, Neural implicit representation, etc. If you find any research interests that we might share, feel free to drop me an email. I am always open to potential collaborations. Email / CV / Google Scholar / Github / Linkedin / ORCID 中文 / English / Deutsch / 日本語 |
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I am a first-year master's student in electrical engineering and information technology at the Technical University of Munich in the winter semester 2023/24 as a M.Sc EE student. I am now a master's student of TUM-CVG, TUM-DI-LAB under the co-supervision of Prof. Dr. Daniel Cremers, Dr. Yan Xia (TUM CVG) and Dr. Chuanxia Zheng (Oxford VGG). I did a research internship at Zhejiang University under the supervision of Prof. Yiyi Liao. I am a M.Sc student in Computer Science at CAD Research Center, Tongji University, where I am honored to be advised by assoc. prof. Gang Wei. Before that, I received my B.Sc degree in Information and Computing Science (Embedded Software) from Department of Mathematics, Nanjing Tech University in 2021. I was born on April 20th, 2000 in Huaian, China. ---- show more ---- |
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I am working at the intersection between Machine learning and Computer Vision, developing new machine learning methods to resolve the challenging problems in 3D Vision, especially focus on Reconstruction and Scene Understanding.
My long-term goal is to improve the application of 3D Vision, benefiting society directly by improving people's living environment. |
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Much of my research is about inferring the physical world (shape, motion, color, light, etc) from images and 3D raw data. Representative papers are highlighted. |
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A Course project base on Tour into the Picture(SIGGRAPH '97).
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A YOLO V7 Network trained on satellite pictures which simulated with Blender and annotated with Segment-Anything for detecting Non-cooperative target.
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A tiny non-convolutional neural network for fitting image signals with different activation functions and positional encoding methods.
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Last updated on 2024/05/06
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