Manager Engineering

Michael Tao

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EDUCATION

College of Engineering University of California, Berkeley

Ph.D. in EECS (Electrical Engineering and Computer Sciences) Spring 2014

Emphasis: Computer Vision and Computational Photography

Adviser: Ravi Ramamoorthi

College of Engineering University of California, Berkeley

B.S. in EECS w/ honors (Electrical Engineering and Computer Sciences) Spring 2010

Emphasis: Communications, Networks and Systems, Signal Processing

Eta Kappa Nu (EECS Honor Society Member: Former Tutoring Officer)

Related Courses

Graphics

CS184 - Foundations of Computer Graphics: rendering pipeline, algorithms, anti-aliasing, ray-tracing, transformations, lighting

CS283 - Advanced Computer Graphics: mesh processing, subdivision, inverse kinematics, computational photography

Computer Vision

CS188 - Introduction to Artificial Intelligence: heuristic search, learning, logical inference, planning, expert systems

CS280 - Computer Vision: image processing and segmentation, line drawing analysis, object models for prediction, recognitionTao

CS294 - Visual Search Engines: sensory, semantic, model, query-context, and interface gap

Signals and Systems

EE120 - Signals and Systems: LTI, Fourier, Laplace, Z-transforms, stability control, AM, FM, feedbacks

EE121 - Introduction to Digital Communication Systems: source coding, channel coding, band modulations, receiver design

EE123 - Digital Signal Processing: FFT, Z-transforms, DFT, wavelets, quantization, digital filter designs

EE126 - Probability and Random Processes: probability in signal processing, distribution, density function, Markov Chains

RESEARCH INTERESTS AND AREAS OF EXPERTISE

My research interests incorporate computational photography with signal processing, computer vision, user interface, and machine learning to

develop practical applications and algorithms. Most of my work focuses on improving applications such as cameras, mobile devices, Adobe

Photoshop, and Adobe Photoshop Lightroom. Projects that I am interested in include but are not exclusive to localized editing (e.g. matting,

adaptive brush tools), blurring algorithms (e.g. bilateral filter and depth of field), e-commerce solutions, detection and recognition, and optical

flow

fluent in theory, implementation, and execution in research and development and consumer level products

strong in business and engineering

experienced via internships and start-ups

PROFESSIONAL EXPERIENCE

Qualcomm, San Diego, California

3A Camera Team Engineering Intern, (June 2010 August 2010)

Developed new frameworks for auto-white balancing (AWB) and auto-focus systems in mobile cameras

Designed a pipeline framework for new AWB algorithms and submitted an IDF for the new auto-focus system

Zoran Corporation, Sunnyvale, California

Digital Television Engineering Intern, (June 2009 July 2009)

Developed verification tools for video/image processing algorithms programmed in MATLAB, C, and C++

Designed a full video-pipeline simulator that improved efficiency and verification for digital image processing algorithms

Adobe Systems Incorporated, San Jose, California

Photoshop Technology Transfer Engineer and Researcher Intern, (May 2008- August 2008)

Developed new tools and image filter algorithms

Co-authored and filed two patents for the company, U.S. patent applications 61/091,239 and 61/091,223

Perfect 2400 SAT Preparation, Fremont, California

Co-Founder and President, (April 2006- Present)

Directed in a group-oriented environment with several employees and marketing associates

Technology and website manager of www.perfect2400.com

Expanded the company to Southern California and boosted the company s revenue to six digits

RESEARCH AND PROJECT EXPERIENCE

Optimized PatchMatch for Internet Images, Berkeley, California

Research Apprentice for Professor Ravi Ramamoorthi, (December 2009- Present)

Developing algorithms that improve the speed of PatchMatch by Barnes et. al.

Writing, testing, and comparing PatchMatch algorithms

Sped up PatchMatch to an order of O(n)- n as in number of pixels

Clothes Fitting for an E-commerce Solution, Berkeley, California

Project Researcher, (October 2009- December 2009)

Class research project under Professor Trevor Darrell

Using puppetry algorithms and joint detection algorithms, we are developing a technique to place clothes on common self-portrait photographs

Determining how to emulate the 3-D effects/wrinkles of clothes on people

Focusing on performance and convenience for a viable e-commerce solution

Error-tolerant Image Compositing, Berkeley, California

Researcher, (July 2009- November 2009)

Partnered with Sylvain Paris and Kimo Johnson

Developed and verified algorithms for gradient-based image compositing that is robust to errors in matting

"Error-tolerant Image Compositing" accepted to ECCV 2010 with oral presentation

Depth of Field Postprocessing for Layered Scenes, Berkeley, California

Research Apprentice for Todd Kosloff and Brian Barsky, (September 2007- May 2009)

Made several efficient algorithms for depth of field blurring using a spreading approach that inhibits artifacts

Worked with image processing, contrast processing, Gaussian blur, square blur, variation blur, and circle blur

Paper accepted at Graphics Interface 2009 Graphics Track, Published a technical report No.UCB/EECS-2008-187

ACTIVITIES

Engineering 98, Berkeley, California

Instructor and Course Designer, (August 2009- Present)

Taught engineering students about research, internships, and success in Berkeley

Guided several students in their educational goals

MandMPhotographs.com and TDPhotos.com, Fremont, California

Photographer and Web Designer, (August 2008- Present)

Marketing and website manager

Increased publicity of the websites, and learned photography

MAJOR PUBLICATIONS

[1] Michael W. Tao, Micah K. Johnson, and Sylvain Paris. "Error-tolerant Image Compositing". In European Conference on Computer Vision

(ECCV), 2010. (with oral presentation, ~ 3.2% papers accepted as oral)

[2] Todd J. Kosloff, Michael W. Tao, and Brian A. Barsky. "Depth of Field Postprocessing For Layered Scenes Using Constant-Time Rectangle

Spreading". In Graphics Interface, May 2009.

PATENTS

[1] U.S. Patent Application No. 61/091,239, Unpublished (filing date Aug. 22, 2008) (Michael W. Tao, Jen-Chan Chien).

[2] U.S. Patent Application No. 61/091,223, Unpublished (filing date Aug. 22, 2008) (Jen-Chan Chien, Michael W. Tao, Sylvain Paris).

SKILLS

Very familiar with coding in MATLAB and C/C++: Microsoft Visual Studio environment

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