My research aims to enhance the experience of casuall photography and videography, using
I'm grateful for having collaborated with these inspiring people from the following industrial research labs (in chronicle order): David E. Jacobs (Google Research), Jonathan T. Barron (Google Research), Yun-Ta Tsai (Google Research, now at Tesla), Vladlen Koltun (Intel, now at Apple), Qifeng Chen (Intel, now at HKUST), Kevin Matzen (Facebook, now at Adobe), Joon-Young Lee (Adobe), Kalyan Sunkavalli (Adobe) , Zhaowen Wang (Adobe) .
SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage
Yifan Wang, Aleksander Holynski, Xiuming Zhang, Xuaner (Cecilia) Zhang Arxiv 2022
The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement
Ilya Chugunov, Yuxuan Zhang, Zhihao Xia, Xuaner (Cecilia) Zhang, Jiawen Chen, Felix Heide CVPR 2022 (Oral)
Xuan Luo, Xuaner (Cecilia) Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz SIGGRAPH ASIA 2021
Learned Dual-View Reflection Removal
Simon Niklaus, Xuaner (Cecilia) Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue WACV 2021
Portrait Shadow Manipulation
Xuaner (Cecilia) Zhang, Jonathan T. Barron, Yun-Ta Tsai, Rohit Pandey, Xiuming Zhang, Ren Ng, David E. Jacobs SIGGRAPH 2020
Synthetic Defocus and Look-Ahead Autofocus for Casual Videography
Xuaner (Cecilia) Zhang, Kevin Matzen, Vivien Nguyen, Dillon Yao, You Zhang, Ren Ng SIGGRAPH 2019
Zoom to Learn, Learn to Zoom
Xuaner (Cecilia) Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun CVPR 2019
Single Image Reflection Removal with Perceptual Losses
Xuaner (Cecilia) Zhang, Ren Ng, Qifeng Chen CVPR 2018
Photometric stabilization for fast-forward videos
Xuaner (Cecilia) Zhang, Zhaowen Wang, Kalyan Sunkavalli, Joon-Young Lee
Ph.D. Computer Science
2015 -- 2020
UC Berkeley, Berkeley, CA
Thesis Topic: Bridging Machine Learning and Computational Photography to Bring Professional Quality into Casual Photos and Videos
B.S. Electrical and Computer Engineering
2011 -- 2015
Rice University, Houston, TX
Summa Cum Laude and Distinction in Research
Berkeley Artificial Intelligence Research (BAIR)
Fa16 -- Sp20
Graduate Student Mentor: Mentor undergrads from underrepresented groups on career and academic research.
Vision for Global Challenges (@CVPR 2019)
Ambassador: Mentored CV4GC awardees to give presentation related to the developing world at CV4GC Workshop.
Google Research (Gcam), Mountain View, CA
Research Intern, Intelligent Systems Lab
Intel, Santa Clara, CA
Research Intern, Computational Photography
Facebook Research, Seattle, WA
Research Intern, Imagination Lab
Adobe Research, San Jose, CA
Here I write random things about the academic and life. Hope you can find some of the pieces resonating and helpful. Send me an email for any suggestion or comment!
Photoblog @ Death Valley
Me @ Dissertation
Me @ SIGGRAPH
Color Palette @ Keynote
Photoblog @ Yosemite Mist
Job Interview Resources @ CV/ML
Photoblog @ Honolulu Band
Asian Dean Rising Star Workshop @ Seoul
Photoblog @ Ewha Womans University
OpenCV2 @ CUDA 9.0
CVPR2019 @ Long Beach
Mini Lecture @ Stereoscopic Perception
CVPR2018 @ Salt Lake City
Here are projects I did for fun (or for fun classes).Computer Graphics
In this project, we present a system for cross-domain similarity search that helps us with sketch-based 3D shape retrieval. Instead of using hand crafted features for searching, we propose our DeepSketch neural network that is built upon the Siamese network to learn features for KNN search. Here is a report on this project.
It is well known that cinematographers may carefully select colorsto provoke an emotional response, provide visual clarity, or serve anarrative purpose. We also have the sense, however, that the simple set of colors used in cinema is distinguishable both from the colors of casual videos and among different cinematic genres. In this project, we analyze how color is used in cinema and exploremethods to transfer color between cinematic and casual videos. Here is the video and write-up for this project.
In this project, we built an Android APP for an AR food menu. We place a user-selected food image onto a plate in the real world space with a vision-based estimation of the correct homography. Here is a demo link.