ACM SIGGRAPH Workshop: Truth in Images, Videos, and Graphics
Organizers: Irfan Essa, Chris Bregler, Hany Farid
One of the goals of computer graphics is to create images, scenes, and videos that appear real and indistinguishable from live-captured content. This goal is now quite achievable as images and videos can be synthesized with a level of realism such that we can’t tell if the content shown to us is just live-captured content, or some mixture of live content, with added manipulations and edits, or completely synthetic. While the ability to create such synthetic or hybrid content is a much-needed tool for entertainment and story-telling, it can also be used to distort the truth. Manipulation of media (text, speech, audio, images, videos, etc.) can be traced back to the origins of each of these media. For example, photographs have been edited for aesthetics since shortly after the invention of the camera. Recently, we have witnessed a significant increase in both the number and success of manipulations in media, often with the goal of influencing the consumer of said media. Modern graphics techniques are creating challenges for journalism processes as truth can be easily manipulated and then shared widely. Tools from computer graphics and multimedia can now create images and videos that are indistinguishable from the real and are therefore very effective at manipulating the beliefs of consumers.
The goal of this inaugural workshop, held in conjunction with ACM SIGGRAPH 2018, in Vancouver, BC, Canada on August 12, 2018, is to bring together researchers and practitioners in all aspects of media creation to understand the challenges as stronger and easier to use tools for such media manipulation are made available widely. We will discuss both these tools and the issues around how these technologies impact the society around us and reflect on the responsibilities of both the technology creators and users of these technologies.
The format of this workshop will include invited speakers to set the stage for this conversation.
- Videos of real people saying something they never said.
- Detecting of Manipulation.
- Staging is manipulation
Alexei (Alyosha) Efros joined UC Berkeley in 2013. Prior to that, he was nine years on the faculty of Carnegie Mellon University, and has also been affiliated with École Normale Supérieure/INRIA and University of Oxford. His research is in the area of computer vision and computer graphics, especially at the intersection of the two. He is particularly interested in using data-driven techniques to tackle problems where large quantities of unlabeled visual data are readily available. Efros received his PhD in 2003 from UC Berkeley. He is a recipient of CVPR Best Paper Award (2006), NSF CAREER award (2006), Sloan Fellowship (2008), Guggenheim Fellowship (2008), Okawa Grant (2008), Finmeccanica Career Development Chair (2010), SIGGRAPH Significant New Researcher Award (2010), ECCV Best Paper Honorable Mention (2010), 3 Helmholtz Test-of-Time Prizes (1999,2003,2005), and the ACM Prize in Computing (2016). Alyosha Efros (UC Berkeley)
Irfan Essa is a Distinguished Professor of Computing at Georgia Institute of Technology (GA Tech), in Atlanta, Georgia, USA and a Research Scientist at Google in Mountain View, CA, USA.
At GA Tech, He is in the School of Interactive Computing (iC) and an Associate Dean of Research in the College of Computing (CoC) and serves as the Inaugural Director of the new Interdisciplinary Research Center for Machine Learning at Georgia Tech (ML@GT).
Essa works in the areas of Computer Vision, Machine Learning, Computer Graphics, Computational Perception, Robotics, Computer Animation, and Social Computing, with potential impact on Autonomous Systems, Video Analysis, and Production (e.g., Computational Photography & Video, Image-based Modeling and Rendering, etc.) Human Computer Interaction, Artificial Intelligence, Computational Behavioral/Social Sciences, and Computational Journalism research. He has published over 150 scholarly articles in leading journals and conference venues on these topics and several of his papers have also won best paper awards. He has been awarded the NSF CAREER and was elected to the grade of IEEE Fellow. He has held extended research consulting positions with Disney Research and Google Research and also was an Adjunct Faculty Member at Carnegie Mellon’s Robotics Institute. He joined GA Tech Faculty in 1996 after his earning his MS (1990), Ph.D. (1994), and holding research faculty position at the Massachusetts Institute of Technology (Media Lab) [1988-1996]. Irfan Essa (GA Tech / Google)
Hany Farid has been serving as the Albert Bradley 1915 Third Century Professor and Chair of Computer Science at Dartmouth until 2017. After a sabbatical in 2018-2019, he is joining the faculty of Computer Science at University of California at Berkeley in 2019, Farid’s research focuses on digital forensics, image analysis, and human perception. He received my undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, an M.S. in Computer Science from SUNY Albany, and a Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT, he joined the faculty at Dartmouth in 1999. He is the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and he is a Fellow of the IEEE and National Academy of Inventors. He is also the Chief Technology Officer and co-founder of Fourandsix Technologies and a Senior Adviser to the Counter Extremism Project. Hany Farid (Dartmouth)
To participate in this workshop and the conversation please submit a CV and brief answers to the questions below. Responses should be limited to two pages. Follow this link to the submission system. The organizers will review the responses and curate a program for the workshop. A submission is required to be invited to attend the workshop as space is limited. There will be a fee to cover lunch expenses, details for purchasing registration will be forthcoming.
1.) Describe your current professional role and its relation to truth in images, videos, and graphics.
2.) Briefly describe your motivation to attend this workshop.
3.) Please provide an example of specific questions or topics you would be interested in hearing or debating more about.
4.) Please feel free to include any other comments you might want to share with us.
Applications will be accepted on first come/first served basis until July 27th. Apply to participate!