Angela Dai is an Associate Professor at the Technical University of Munich where she leads the 3D AI Lab. Angela's research aims to enable machines to understand, model, and generate real-world 3D environments. She focuses on enabling the creation of rich, semantically grounded, and interactable 3D worlds that allow machines not only to perceive physical spaces, but to reason about them and act within them. She received her PhD in computer science from Stanford in 2018, advised by Pat Hanrahan, and her BSE in computer science from Princeton in 2013. Her research has been recognized through an ECVA Young Researcher Award, ERC Starting Grant, Eurographics Young Researcher Award, German Pattern Recognition Award, Google Research Scholar Award, and an ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention. She has also served as Program Chair for Eurographics 2025 and CVPR 2026.

Hello, I'm Chandan. I am interested in the semantic understanding of indoor scenes using sparse multimodal data such as RGB, depth and Lidar. I completed my Master's in Robotics, Cognition and Intelligence at TUM, and before that my Bachelor's and Master's in Information Technology at IIIT Bangalore.

My research focuses on 3D reconstruction and scene understanding. In particular, I’m interested in incorporating semantic or geometric priors into 3D reconstruction. Prior to this, I was a research assistant working with Prof. Min Sun in the Vision Science Lab at National Tsing Hua University. I received MSc and BSc degrees in Computer Science at National Taiwan University (NTU), where I worked on 3D point cloud understanding and robotic grasping with Prof. Winston Hsu.

My research interests lie in 3D reconstruction/scene representations and generative models. I obtained my Master’s degree in computer science and engineering at ShanghaiTech University in 2022, advised by Prof. Jingyi Yu. Before that, I received my bachelor’s degree in Automatic Control at Shandong University in 2019.

Hi, I'm Daoyi. My research interest lies in 3D understanding from object-centric perspective and self-supervised learning. Previously, I graduated from the Master's in Robotics, Cognition, Intelligence program at TUM. Prior to that, I obtained my Bachelor's degree at Beihang University.

My research interests lie at the intersection of computer vision and robotics, with the focus of warm-starting humanoid loco-manipulation tasks. Previously, I worked as a research fellow at the Italian Institute of Technology. I obtained my MSc degree in Computer Science from the University of Bonn.

Hi, I am Xinyi. My research focuses on 3D/4D representations and generative models. Previously, I received my Master's degree in Computer Engineering from Tsinghua University in 2024, supervised by Prof. Shu-Tao Xia. Before that, I received my Bachelor's degree in computer science from Sichuan University in 2021.

I am a PhD student at 3DAI lab, specializing in 3D scene functionality analysis. I completed my MSc at MBZUAI, where I focused on 3D scene understanding. Prior to that, I received a Master's degree in control systems and automation from The National Polytechnique School.