Xiaoyan Xing (邒晓岩)

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 πŸ“Έ, I play the drum in a rock band πŸ₯, and I also like traveling (4 continents unlocked, 3 more to go) πŸ—ΊοΈ.

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

profile photo
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)

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.

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.

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.

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.

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.

Misc
tsinghua Teaching asistant, Big Data Experiment and Application Spring 2021
Teaching asistant, Public Health Statistics Spring 2020

This website is based on Jon's source code.