Cecilia Zhang 张璇儿
Computer Science Department
University of California, Berkeley
Email: cecilia77 at berkeley dot edu
[03/23/19] Our SIGGRAPH paper on cinematic video autofocus got conditionally accepted, details later!
[03/15/19] We will be presenting our paper "Zoom to Learn, Learn to Zoom" at CVPR 2019.
I am a 4th year PhD student in CS at UC Berkeley. I do research in computational photography, computer vision and image processing with Prof. Ren Ng.
------ Houston ---- [1,919.5 mi] ---- Berkeley ------
Prior to Berkeley, I got my B.S. from Rice University with a focus in computer vision and worked with Prof. Ashok Veeraraghavan.
------- Beijing ---- [7,205 mi] ---- Houston -------
I was born and grew up in Beijing, an ancient city on its unique modernization path. I've shot a pile of photographs of my hometown, take a look at my Flickr albums.
Ph.D. Computer Science
2015 -- supposedly 2021
UC Berkeley, Berkeley, CA
B.S. Electrical and Computer Engineering
2011 -- 2015
Rice University, Houston, TX
Research Intern, G-cam
Google, 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
CS184/284A Computer Graphics & Imaging
CS184/284A Foundations of Computer Graphics
I'm interested in computational photography and videography, integrating data-driven approach and physically accurate rendering forward models.
I feel truly fortunate to have collaborated with these inspiring people from the industrial research labs (in chronicle order): Vladlen Koltun (Intel), Qifeng Chen (Intel), Kevin Matzen (Facebook), Joon-Young Lee (Adobe), Kalyan Sunkavalli (Adobe) , Zhaowen Wang (Adobe) .
Synthetic Defocus and Look-Ahead Autofocus for Casual Videography
Xuaner (Cecilia) Zhang, Kevin Matzen, Vivien Nguyen, Dillon Yao, You Zhang, Ren Ng
(all coming soon!)
Zoom to Learn, Learn to Zoom
Xuaner (Cecilia) Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun
(all coming soon!)
Single Image Reflection Removal with Perceptual Losses
Xuaner (Cecilia) Zhang, Ren Ng, Qifeng Chen
Photometric stabilization for fast-forward videos
Xuaner (Cecilia) Zhang, Zhaowen Wang, Kalyan Sunkavalli, Joon-Young Lee
Virtual Fitting: real-time garment simulation for online shopping
Xuaner (Cecilia) Zhang, Lam Yuk Wong
Free Your Eyes: Retinal Image Deblurring Display with Enlarged Viewing Zone
Xuaner (Cecilia) Zhang, Jinkyu Kim, Brian Barsky, Laura Waller, Ren Ng
ICCP 2015, Poster
Mini Lecture @ Stereoscopic Perception
CVPR2018 @ Salt Lake City Convention Center
More Projects (& Pretty Images)
Here are more projects I did for classes and for fun.
Below are some projects I've done throughout this graphics course, covering a variety of cool topics such as rasterizing, texture mapping, geometry processing, ray tracing, etc. Please click on each project to view high-res images.
The rest ancient, naïve but free ideas
DeepSketch: Sketch-based 3D shape Retrieval
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 on Siamese network to learn features that are basis for later similarity search using K-nearest Neighbor (KNN). Here is a report on 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.
Virtual Drum Kit
Our virtual drum design simulates the experience of playing drums. The system includes: video processing to track the position of the drum stick in real time; audio processing to detect the ‘hit’ moment of the drum stick to generate corresponding drum sounds.
More About Cecilia
Photography --- Photos (click me!) are my footprint and memories. I love taking photos of street-views, nature with symmetry, static objects with granularity and people in actions.
If you find any of these images resonates with you or makes you appreciate this world a tiny weeny more, I'd be so happy .
Travel --- As I visit more places, I meet more people, experience more interesting moments and get to take more photos. My favorite places I've visited so far are Bremen, Interlaken and the summer version of Seattle.
Coffee --- I'm a coffee-addict. More precisely, I'm a cafe-addict. It's interesting to discover the "personality" of each cafe, its baristas, its coffee machine preference and the different taste of their 'house coffee'.
Street-wandering --- Street-view tells a lot about a city. If you look at the pictures below without hovering to see their labels, you might already had a reasonable guess about its geo-location. Street-views also connect with the local, and help me understand a city better.
My Significant "Since ..." Moments
Since Left Rice
I miss Rice often, it's the place where I got to discover my current research interests and met many fellow friends who are now great researchers and talented engineers. I also met my favorite professors who brought me into the field of image processing and computational photography, who guided me to see the interdisciplinary beauty of computation and cameras. Among the campuses I've visited (>20 schools), Rice is the pretties, with no doubt.
I spent my 6 years of middle + high school in RDFZ (aka. 人大附中), and had the best three years of my life with class 12. I met some of my most cherished people, lifelong friends and also my significant one. It would forever be a part of my unforgettable memories. We are spread around the world, but would gather together for reunion almost every year even after 7 years of graduation.
Yoo and me met in high school, we were in the same class (but we actually first met in elementary school but didn't know each other at the time). He just graduated with a MFA in film-making and is now a director. He owns his studio back in China and is pursuing his dream in telling great stories in the format of films to others. Take a look at his SHOWREEL 2017!
米粒儿 joined the family in pure black when she was a few months old. Now she's more mixed gray-ish. She loves chicken flavor snacks, and hates wearing clothes or shoes that we would think look cute on her. She is very smart, all the smart toys or puzzles
we bought her would be completely solved and abandoned by her in a day or two. My mom is her favorite, than goes my Dad, and then Yoo and very lastly it's me. I hope I could see her more frequently and let her curl up on my lap.