Ilke Demir

Senior Research Scientist at Intel

Dr. Ilke Demir earned her Ph.D. in Computer Science from Purdue University, focusing on 3D vision approaches for generative models, urban reconstruction and modeling, and computational geometry for synthesis and fabrication. Afterwards, she joined Facebook as a Postdoctoral Research Scientist working with Ramesh Raskar from MIT. Her research included human behavior analysis and deep learning approaches in virtual reality, geospatial machine learning, and 3D reconstruction at scale. In addition to her publications in top-tier venues (SIGGRAPH, ICCV, CVPR), she has organized workshops, competitions, and courses in the intersection of deep learning, computer vision, and graphics. She has received several awards and honors such as Jack Dangermond Award, Bilsland Dissertation Fellowship, IEEE Industry Distinguished Lecturer, and GHC Fellow, in addition to her best paper/poster/reviewer awards. Currently she is a Senior Research Scientist at Intel, leading the computer vision and deep learning research in the world’s largest volumetric capture stage.

WATCH LIVE: September 24 @ 3:35PM – 4:05PM ET

The Future of Filmmaking: AI for Volumetric Capture

One picture is worth a thousand words, so what have been told with videos? What about 100 simultaneous videos to reconstruct every frame of life in a dome? Is this data enough to reconstruct and digitize us realistically? Similar to other industries, entertainment industry is also being reshaped by AI, especially towards AR/VR consumption. Before democratization of AI and data, such immersive experiences were lacking an essential element: photorealism. As our data increased, our models got deeper, and the reality became decipherable. This talk will introduce recent deep learning advancements in 3D vision, reconstruction, and shape understanding techniques with a focus on generative models to digitize performances and scenes. In addition to a discussion about how to process such large visual data, the challenges that come with scaling 10x over current capture platforms, and over 200x over state-of-the-art datasets will be presented. The talk will conclude with a sneak peek of our upcoming productions in the world’s largest volumetric capture stage at Intel Studios.