Published numerous papers at top-tier venues including ICCV, CVPR, ECCV, and TMLR, covering topics such as 3D Gaussian modeling, open-vocabulary 3D segmentation, multimodal LLM-based image analysis, 3D VQA, and neural radiance fields
Papers Chair, ACM SIGGRAPH 2009
Served on the Papers Committee for ACM SIGGRAPH across multiple years (1997–2022)
Advisory Board member of ACM SIGGRAPH (2008, 2009, 2011, 2015, 2022)
Papers Chair for EUROGRAPHICS Symposium on Geometry Processing (SGP) 2014 and committee member for multiple years
Background
David M. Siegel Professor of Computer Science, Emeritus, Princeton University
Principal Research Scientist at Google DeepMind
Research focuses on computer vision, computer graphics, 3D scene understanding, neural rendering, and multimodal large language models
Affiliated with the Princeton Computer Vision Group and Princeton Computer Graphics Group