Xiaoyan Xing (ι’ζ岩)
I am a second-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 (4 continents unlocked, 3 more to go) πΊοΈ.
I serve as a regular reviewer for CVPR, ECCV, NeurIPS, ICLR, and IJCV.
I am actively looking for motivated students from UvA, who have hands-on experience in computer vision, to explore some interesting tasks with me (with compensation). Feel free to drop your resume to my Email.
Email  / 
Linkedin  / 
Google Scholar  / 
Github
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News
[Jun 2024] I gave an invited talk @ PBDL workshop, CVPR 2024.
[Oct 2023] I gave a contributed talk @ CV4Metaverse workshop, ICCV 2023.
[Jul 2023] I participated ICVSS 2023 in Sicily!
[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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Research
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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Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory
Xiaoyan Xing,
Vincent Tao Hu,
Jan Hendrik Metzen,
Konrad Groh,
Sezer Karaoglu,
Theo Gevers
Invited talk @ PBDL, CVPR 2024
arxiv
Diffusion models "know" the illumination, and we show how to control it.
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Intrinsic Appearance Decomposition Using Point Cloud Representation
Xiaoyan Xing,
Konrad Groh,
Sezer Karaoglu,
Theo Gevers
CV4Metaverse Workshop, ICCV 2023 (Oral)
arxiv /
workshop (4 pages) /
code
Point cloud based intrinsic appearance decomposition achieves good accuracy and can be generalized to unseen scenes/shapes.
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Point Cloud Color Constancy
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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Dual-Illumination Weighting and Estimation
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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