Rana Hanocka
Scholar

Rana Hanocka

Google Scholar ID: 3Bk5C9EAAAAJ
University of Chicago
Machine LearningDeep LearningComputer GraphicsComputer Vision
Citations & Impact
All-time
Citations
2,809
 
H-index
17
 
i10-index
22
 
Publications
20
 
Co-authors
3
list available
Resume (English only)
Background
  • Assistant Professor of Computer Science at the University of Chicago
  • Founded and directs 3DL (threedle!), a research group focused on 3D, machine learning, and visual computing
  • Research focuses on building AI for 3D data, spanning computer graphics, machine learning, and computer vision
  • Aims to apply deep learning techniques to unstructured 3D geometric data
  • Research directions include: mesh-specific CNNs, learning from single shapes (surface reconstruction, geometric texture synthesis, point cloud consolidation), human-AI co-creativity in 3D modeling, weakly supervised learning from shape collections, and interpretability of 3D neural networks