SEMINAR

3D Scenes: Understanding and Rendering

Speaker

Binh-Son Hua

Working
National University of Singapore
Timeline
Tue, Feb 11 2020 - 03:00 pm (GMT + 7)
About Speaker

Binh-Son Hua is currently an independent researcher based in Ho Chi Minh city, Vietnam. Before that, he was a project-based Assistant Professor at the University of Tokyo and a postdoctoral researcher at Singapore University of Technology and Design. His research interests are physically based rendering and 3D scene understanding. His recent works are published in both computer graphics and computer vision venues, including Eurographics, TVCG, 3DV, CVPR, ICCV and SIGGRAPH. He received his PhD in Computer Science from National University of Singapore in 2015.

Abstract

The general availability of depth sensors makes it easier and faster to acquire 3D data of a real-world scene. Together with neural networks, recent advances in deep learning in 3D has paved the way for better understanding our world in 3D. In this talk, I am going to share the experience of my journey in this direction, framing it from an end-to-end perspective. I will start with various stages in dataset making from building tools for data acquisition to data annotation. I will then highlight recent works in 3D scene understanding including designing convolution and neural networks for point clouds classification and post-processing semantic segmentation with conditional random fields. In addition, I will briefly explain the rendering of 3D scenes, and discuss potential future research in both directions.

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