Abstract

As the popularity of 3D sensors in our daily life, there are more and more 3D (visual) data available for us to explore, where the richer geometric structure and the holistic observation of the visual scene hidden behind the 3D data are able to benefit plenty applications such as autonomous vehicles, robotics, and architectonics. There are different manners to represent 3D data, such as point clouds, voxels, meshes, or even the implicit functions, in which their characteristics and properties lead to various interesting research problems and potentials. In this talk I will cover several works of 3D computer vision from my research group, including self-supervised feature learning for point clouds, single-view mesh reconstruction, stylization of NeRF-based 3D scenes, and point cloud generators.

Bio.

Wei-Chen Chiu received the B.S. degree in Electrical Engineering and Computer Science and the M.S. degree in Computer Science from National Chiao Tung University (Hsinchu, Taiwan) in 2008 and 2009 respectively. He further received Doctor of Engineering Science (Dr.-Ing.) from Max Planck Institute for Informatics (Saarbrucken, Germany) in 2016. He joined Department of Computer Science, National Chiao Tung University as an Assistant Professor from August 2017 and got promoted to Associate Professor in July 2020. From May 2021, he was also hired as a Joint Appointment Research Fellow by the Mechanical and Mechatronics Systems Lab of Industrial Technology Research Institute, Taiwan. His current research interests generally include computer vision, machine learning, and deep learning, with special focuses on generative models, multi-modal perception, and 3D recognition.

All faculty and students are welcome to join.