Angela Dai is an Assistant Professor at the Technical University of Munich where she leads the 3D AI lab. Angela's research focuses on understanding how the 3D world around us can be modeled and semantically understood. Previously, 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 ERC Starting Grant, Eurographics Young Researcher Award, Google Research Scholar Award, ZDB Junior Research Group Award, an ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention, as well as a Stanford Graduate Fellowship.

My research interests lie in computer graphics and computer vision, with a focus on geometric deep learning for shape analysis. Previously, I worked as a postdoctoral researcher at LIX, Ecole Polytechnique / Inria from 2020 to 2022. I obtained my Ph.D. degree in computer science and engineering (2020) from The Hong Kong University of Science and Technology, and my B.Eng. degree in software engineering (2014) from Shandong University.

My research focuses on understanding 3D environments and how humans interact with them. Previously, I worked on fusing RGB-D data into 3D scene representations in real-time and improving the quality of such reconstructions with various deep learning approaches. I received my MSc in Informatics in the summer of 2019 at TUM and before that, my BSc in Informatics and Multimedia at the University of Augsburg.

I am Alexey. I did a Bachelor of Physics and Master of Data Science in Russia at MIPT and Skoltech. There, my research focused on computer vision of satellite imagery. Inspired with 3D computer vision I did an internship at TUM in 2019 where I studied mesh deformation in application to real-world scans. Now I am a Ph.D. student with a focus on understanding of real-world objects and relationships between them.

Hello, my name is David. I am happy to start my Ph.D. candidacy at the 3D AI Lab, where I am focusing on the segmentation of long-tail classes for realistic 3D understanding tasks. I received my Bachelor's from TU Budapest and received my Master's through a double degree program in TU Berlin and ELTE Budapest in Autonomous Systems. Previously, I worked on robotics and vehicle localization, then during my masters on augmented reality, SLAM, and real-time semantic reconstruction problems.

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.