MANOLIS SAVVA

Assistant Professor, School of Computing Science

Manolis Savva will be joining us in January 2019.

Education

  • Ph.D., Computer Science, Stanford University, 2016
  • MS, Computer Science, Stanford University, 2012
  • B.A., Physics and Computer Science, Cornell University, 2009

Research interests

  • human-centric 3D scene analysis
  • generative methods for 3D content creation
  • computer graphics for artificial intelligence

Teaching interests

  • computer graphics
  • computer vision
  • data visualization

Selected Recent Publications

  • Kai Wang, Manolis Savva, Angel X. Chang, Daniel Ritchie. "Deep Convolutional Priors for Indoor Scene Synthesis." SIGGRAPH 2018
  • Ruizhen Hu, Manolis Savva, Oliver van Kaick. "Functionality Representations and Applications for Shape Analysis." Eurographics STAR (State of The Art Report), CGF 2018.
  • Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias Nießner. "ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes." CVPR 2017.
  • Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin, Thomas Funkhouser. "Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks." CVPR 2017.
  • Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, Matthias Nießner. "PiGraphs: Learning Interaction Snapshots from Observations." SIGGRAPH 2016.
  • Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, Matthias Nießner. "SceneGrok: Inferring Action Maps in 3D Environments." SIGGRAPH Asia 2014.

Contact:

Email:  
Tel:  
Fax: 778-782-3045
Office: SFU Burnaby, TASC 1 8227 
Web:  https://msavva.github.io/