SUM Seminars (Scene Understanding and Modeling seminar series)

The SUM seminar series aims to help our students stay connected with the researchers in the scene understanding and modeling fields. We will host two seminars per month featuring both junior and senior researchers in the 3D computer vision community. The 'junior' seminars have a focus on sharing recent research and development, and the 'senior' seminars will focus on sharing experiences and insights on specific topics.

Coming seminars

Previous seminars

• Sept. 16. 2024. Bailin Deng (Cardiff University). Mesh-Based Freeform Lens Optimization for Light Control.

• Jan. 16. 2023. Hugues Thomas (University of Toronto). Representation Learning for 3D Point Cloud Deep Learning.

• Nov. 21, 2022. Asgari Yasaman (ENS de Lyon). Implicit neural functions for 3D shapes.

• Oct. 5, 2022. Michael Niemeyer (MPI). Differentiable Rendering of Neural Scene Representations.

• Sept. 26, 2022. Pengshuai Wang (Peking Univ.). Octree-based Sparse Neural Networks for 3D Shape Understanding and Generation.

• Aug. 22, 2022. Qingyong Hu (Oxford Univ.). Learning to Understand Large-Scale 3D PointClouds.

• Jul. 11, 2022. Nail Ibrahimli (TU Delft). Volumetric differentiable rendering.

• Jul. 4, 2022. Mulin Yu (INRIA). Urban model repairing and planar shape detection.

• Jun. 27, 2022. Florent Lafarge (INRIA). Looking for Efficient Space Partitioning Data Structures in Vision Problems.

• Apr. 25, 2022. Sooren Pirk (Google Brain). Simulating Plant Life: From Urban Forests to Wildfires.

• Apr. 4, 2022. Yasutaka Furukawa (SFU). Structured Architectural Geometry Generation.

• Mar. 14, 2022. Chi-Han Peng (NCTU). Integer Programming for Visual Computing.

• Feb. 28, 2022. Zhiqin Chen (SFU). Learning local features for shape reconstruction and detailization.

• Jan. 14, 2020. Zhaopeng Cui (ETH Zürich). Towards Accurate, Efficient, and Robust 3D Mapping and Localization from Images.