Deep Learning for Scene Understanding (3D, Functional, Semantics)
NSF Grant Number
NSF Grant URL
The goal of this project is to develop a geometric and functional representation of our visual world for scene understanding. This project aims to harness the recent advancements in deep learning (convolutional neural networks) and explore the possible improvements in scene understanding. Another goal of this project is to explore how reasoning can be performed using convolutional neural networks.
Use of FutureSystems
We plan to use the GPU cloud for developing CNN architectures for Scene Understanding. We also plan to use the cloud for demos in the new deep learning course being taught at CMU.
Scale of Use
We will need a few VMs for few months to run different architectures for experiments. We will also need just a few TB for storage.