Manolis Savva
Associate Professor | Grad Program Committee Chair
Computing Science
Areas of interest
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
Education
- Ph.D., Computer Science, Stanford University, 2016
- MS, Computer Science, Stanford University, 2012
- B.A., Physics and Computer Science, Cornell University, 2009
Courses
Fall 2024
Spring 2025
Future courses may be subject to change.
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.