Interactive 3D Vision & Learning Lab (IVL)

The Interactive 3D Vision & Learning Lab (IVL), part of Brown Visual Computing, works on 3D computer vision and machine learning problems to better understand how humans interact with the world. Please see the research tab for examples.

Our lab is currently composed of the following talented researchers. We are always looking for motivated PhD students and undergrads to join us. Please send us an email if you are interested.

At Brown

  • Trevor Houchens (2021–)
  • Eliza Macneal (2021–)
  • Daniel Masotti (2021–)
  • Aparna Natarajan (2021–)
  • Farnaz Nouraei (2020–2021)
  • Qiuhong (Anna) Wei (2021–)
  • Andrew Yuan (2020–)
  • Jacqueline Zhang (2020–)
  • Anoop Singh (2020)


  • Qimin Chen (UCSD; 2020–2021)
  • Radhika Dua (KAIST; 2020–)
  • Apoorve Singhal (IIT Kharagpur; 2021–)
  • Jack Sun (The Chinese University of Hong Kong; 2020–2021)
  • Ge Zhang (ShanghaiTech; 2020–2021; Co-supervised with Leo Guibas and Or Litany)