| Connelly Barnes Senior Research Scientist at Adobe |
801 N 34th St
Seattle, WA 98103
cbarnes AT adobe.com
Seattle, WA 98103
cbarnes AT adobe.com
Research Interests and Bio
I am a senior research scientist at Adobe in Seattle. My research interests span a variety of computer graphics and vision topics, such as image and video processing, compiler tools, patch-based algorithms, deep learning, brush interfaces, and virtual reality.
I will be recruiting computer science Ph.D. students for Adobe research internships, which typically result in peer-reviewed publications. If you are interested, please apply.
For the years 2013-2017, I was an assistant professor of computer science at the University of Virginia. I will not be taking on new students at the University of Virginia.
Please see my C.V. or my publications below for more information.
I will be recruiting computer science Ph.D. students for Adobe research internships, which typically result in peer-reviewed publications. If you are interested, please apply.
For the years 2013-2017, I was an assistant professor of computer science at the University of Virginia. I will not be taking on new students at the University of Virginia.
Please see my C.V. or my publications below for more information.
Classes
Computer Science 6501 - 3D Reconstruction and Understanding (Fall 2017)
Computer Science 4501 - Introduction to Computer Vision (Spring 2017)
See also a list of classes in previous years.
Computer Science 4501 - Introduction to Computer Vision (Spring 2017)
See also a list of classes in previous years.
Impact and Press Coverage
The PatchMatch technology that I researched for my Ph.D. was incorporated into Adobe Photoshop CS5 as content-aware fill. This received 8 million views on YouTube [1] [2], and was featured in press such as Popular Science and PC Magazine. In later Photoshop versions, Content-aware Patch, Move, and Color Adaptation were built on this technology [3].
I collaborated on the Halide project, which has been used at Adobe and Google. My collaboration on camouflage has been featured on Wired and Gizmodo, with 170,000 views on YouTube.
I collaborated on the Halide project, which has been used at Adobe and Google. My collaboration on camouflage has been featured on Wired and Gizmodo, with 170,000 views on YouTube.
Graduate Students
- Yuting Yang (Ph.D.)
- Ning Yu (Ph.D.)
- Fuwen Tan (Ph.D.)
- Zachary Verham (graduated Masters)
- Liming Lou (former visiting Ph.D.)
- ShanShan He (graduated Masters)
- Paul Nguyen (graduated Masters)
Research Publications (Google
Scholar)
Approximate Program Smoothing Using Mean-Variance Statistics, with Application to Procedural Shader Bandlimiting
Eurographics 2018
Where and Who? Automatic Semantic-Aware Person Composition
IEEE Winter Conference on Applications of Computer Vision (WACV) 2018
Automatic Image Defect Diagnosis
IEEE Winter Conference on Applications of Computer Vision (WACV) 2018
Halide: A Language and Compiler for Optimizing Parallelism, Locality, and Recomputation in Image Processing Pipelines
Communications of the ACM 2018: Research Highlights
VizGen: Accelerating Visual Computing Prototypes in Dynamic Languages
ACM SIGGRAPH Asia 2016
Image Perforation: Automatically Accelerating Image Pipelines by Intelligently Skipping Samples
ACM Transactions on Graphics 2016 (to appear at ACM SIGGRAPH 2016)
Towards Automatic Band-Limited Procedural Shaders
Pacific Graphics 2015
PatchTable: Efficient Patch Queries for Large Datasets and Applications
ACM SIGGRAPH 2015
Synthesis of Complex Image Appearance from Limited Exemplars
ACM Transactions on Graphics 2015 (presented at ACM SIGGRAPH)
RealPigment: Paint Compositing by Example
NPAR 2014: Symposium on Non-Photorealistic Animation and Rendering
Stylized Keyframe Animation of Fluid Simulations
NPAR 2014: Symposium on Non-Photorealistic Animation and Rendering
Style Transfer for Headshot Portraits
ACM SIGGRAPH 2014
DecoBrush: Drawing Structured Decorative Patterns by Example
ACM SIGGRAPH 2014
Camouflaging an Object from Many Viewpoints
CVPR 2014 (oral presentation)
Patch-based High Dynamic Range Video
ACM SIGGRAPH Asia 2013
Halide: A Language and Compiler for Optimizing Parallelism, Locality and Recomputation in Image Processing Pipelines
ACM PLDI 2013
Image Melding: Combining Inconsistent Images using Patch-based Synthesis
ACM SIGGRAPH 2012
The PatchMatch Randomized Matching Algorithm for Image Manipulation
Communications of the ACM: Research Highlights, 2011
PatchMatch: A Fast Randomized Matching Algorithm with Application to Image and Video
Ph.D. Dissertation, Princeton University, 2011
PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing
ACM SIGGRAPH 2009
Video Puppetry: A Performative Interface for Cutout Animation
ACM SIGGRAPH Asia 2008
Education Publications
Enhancement of Student Learning in Experimental Design Using a Virtual Laboratory
IEEE Transactions on Education, 2008
Experiential Learning of Design of Experiments Using a Virtual CVD Reactor
American Society for Engineering Education Conference, 2006. Award for best paper in Chemical Engineering.
The Virtual CVD Learning Platform
Frontiers in Education Conference, 2006.
ThermoSolver: An Integrated Educational Thermodynamics Software Program
Undergraduate honors thesis, 2006. Oregon State University Library
Funding
Thanks for research funding from the following organizations: the National Science Foundation, Adobe, and the Chinese Scholarship Council.
Other Resources
My personal website includes other resources such as:
- Source code, including PatchMatch code and Python bindings for the Halide language.
- Artwork
- Poetry
- Writings