MegaFace is the largest face recognition benchmark in the world, it currently includes two big datasets and challenges: 1) 1 million unlabeled photos to test face recognition at scale, 2) 4.7 labeled photos that capture more than 690K identities that is suitable for training. MegaFace was created with the idea that face recognition should be tested at a million scale. Currently more than 500 groups world-wide are working with MegaFace. See also stories by the Atlantic, TechCrunch, and IEEE Spectrum.
Virtual Reality Capstone Class!
Ricardo Martin (and GRAIL) in the Seattle Times!
PhD student Ricardo Martin-Brualla explains his presentation, "Time-lapse Mining from Digital Photos," which discusses his technology for creating time-lapses of locations over several years using community photo collections, during the Computer Science and Engineering program's annual Industry Affiliates Meeting at the Paul G. Allen Center for Computer Science and Engineering at the University of Washington on Tuesday, Oct. 20, 2015. Using his automated approach, which clusters 86 million photos from a several year timespan into specific landmark locations, then sorting them into those with a common viewpoint, Martin-Brualla has rendered 10,768 time-lapses from 2,942 landmarks all over the world.
More information about Ricardo's work and the department can be found in the Seattle Times article.
"What Makes Tom Hanks Look Like Tom Hanks" wins Madrona Prize!
Supasorn Suwajanakorn is the recipient of this year's Madrona Prize at the CSE Industrial Affiliates Meeting, for his work (to be presented at ICCV 2015) with Ira Kemelmacher-Shlizerman and Steve Seitz titled "What Makes Tom Hanks Look Like Tom Hanks. The Madrona Prize is given to the research project that best combines exciting research with commercial potential.
CVPR '15 Best Paper Award!
"DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time," authored by Richard Newcombe, Dieter Fox, and Steven Seitz, won the Best Paper award at the CVPR 2015 conference. Congratulations!
Summer 2015 Google Faculty Research Awards
Professor Brian Curless was a recipient of one of this summer's Google Faculty Research Awards, in the area of "Physical Interactions and Immersive Experiences." Ph.D. alum and former Creative Director of the UW Center for Game Science, Seth Cooper, now at Northeastern University, was also a recipient, in the area of "Human-Computer Interaction."
Congratulations to Brian and Seth!
"Moving Portraits" Featured in CACM
"Moving Portraits" work by Ira Kemelmacher-Shlizerman, Eli Shechtman, Rahul Garg, and Steve Seitz was featured in the "Research Highlights" section of September 2014's Communications of the ACM, and selected for the cover of that publication.
Additional information about the article, including an interview with Ira, is available on the project's web site.
Aging in the News!
Our research on aging was presented at CVPR 2014 - "Illumination-Aware Age Progression," by Ira Kemelmacher-Shlizerman, Supasorn Suwajanakorn, and Steve Seitz - been picked up by news organizations far and wide, from local TV and radio - KOMO News, KING5, KIRO-TV, and KUOW (NPR) - to national and international coverage - NBC's "Today Show", Daily Mail (UK), and more!
More information on the research, and additional press coverage, is available at the project's web site.
Three New GRAIL Faculty!
Ali Farhadi (left) is an expert on object recognition - he joins from CMU as an Assistant Professor.
Ira Kemelmacher-Shlizerman (middle) joins as an Assistant Professor, she is known for her work on human face modeling and is an expert in internet computer vision. She was previously a postdoc at UW.
Jeff Heer (left) focuses on visualization and HCI. He was previously an Assistant Professor at Stanford, and will join us in the fall of 2013 as an Associate Professor.
Intel CEO presents GRAIL's 3D reconstruction work
At the Intel Developer Forum in San Francisco, Intel CEO Paul Otellini demos how the company's processors are being used to render a 3D model from millions of user-generated images taken from photo-sharing sites like Flicker and Picasa. The work is being done at the University of Washington, where researchers have crowd-sourced images from the Web and created 3D re-construction of St. Peter's Basilica in Vatican City.
Foldit: Solving Protein Puzzles for Science
Foldit is an on-line 3D game developed by the Center for Game Science, in collaboration with researchers in the UW Department of Biochemistry, where players can use different tools to interactively twist, jiggle and reshape proteins. In 2011, a group of Foldit players discovered the structure of a protein that could be used to help fight HIV and AIDS.