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I am a first year ELLIS PhD candidate at Delta Lab, a lab funded by Bosch and University of Amsterdam, where I am working on computer vision and machine learning, and am supervised by Prof. Dr. Theo Gevers. I am also very glad to work with Dr. Jan Hendrik Metzen and Dr. Konrad Groh. Prior to that, I obtained my master's degree (MSc) from Tsinghua University and my bachelor's degree (BEng) from Chongqing University, both in Biomedical Engineering. I am a photography enthusiast πΈ, I play the drum in a rock band π₯, and I also like traveling (17+ countries) πΊοΈ. I am currently looking for motivated students from UvA, who have hands-on experience in computer vision, to explore some interesting low-level vision tasks with me. Feel free to drop your resume to my Email. |
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[August 2023] One paper was accepted by CV4Metaverse (ICCV 2023 workshop)! Code released! [April 2023] I will participate ICVSS this summer! [March 2023] I became a reviewer of IJCV! [February 2023] I was nominated as an ELLIS PhD! [September 2022] I started my PhD adventure 🤞! [August 2022] I arrived in the Netherlands! [June 2022] I graduated with a Master's degree (MSc) from Tsinghua University. [April 2022] I will start my Ph.D. journey in computer vision at Delta Lab (funded by Bosch), University of Amsterdam, supervised by prof. dr. Theo Gevers. [March 2022] One paper was accepted by CVPR 2022! [March 2022] One paper was accepted by ICPR 2022! (early accepted) |
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Photography is known as the art of illumination and color, in which I have great interest in. My research focus on understanding the intrinsic and invariant information from images. |
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Xiaoyan Xing, Konrad Groh, Sezer Karaoglu, Theo Gevers CV4Metaverse Workshop, ICCV 2023 (Oral) paper / code Point cloud based intrinsic appearance decompostion ahieves good accuracy and can be generlized to unseen scenes/shape. |
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Xiaoyan Xing, Yanlin Qian, Sibo Feng, Yuhan Dong, Jiri Matas CVPR, 2022 paper / code / data Point cloud is an ideal form that contains color and depth information and can be used to improve illumination estimation pipline. |
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Xiaoyan Xing, Sibo Feng, Yanlin Qian, Yuhan Dong ICPR, 2022 paper Efficient RAW dual-Illumination image generation using a random gaussian map and guided filter helps the network to estimate illumination map of unseen dual-illuminant images. |
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Teaching asistant, Big Data Experiment and Application Spring 2021 Teaching asistant, Public Health Statistics Spring 2020 |
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This website is based on Jon's source code. |