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Explore the fascinating world of 3D scene understanding and rendering in this comprehensive seminar by independent researcher Binh-Son Hua. Delve into the latest advancements in deep learning for 3D data processing, from dataset creation to point cloud classification and semantic segmentation. Discover the tools and techniques used for data acquisition and annotation, and learn about the application of neural networks and conditional random fields in 3D scene analysis. Gain insights into the rendering process for 3D scenes and explore potential future research directions in this rapidly evolving field. This 75-minute seminar offers a valuable end-to-end perspective on 3D scene understanding, combining expertise from both computer graphics and computer vision domains.