Akshay Gadi Patil


Akshay Gadi Patil
Ph.D Student

GrUVi Lab
School of Computing Science
Simon Fraser University

Office: TASC-1 8004

About Me

Hello! I am a third year Ph.D student advised by Prof. Hao (Richard) Zhang.
My research revolves around the Geometric application of deep learning for content creation and understanding.
Specifically, I focus on Structural generation of 3D Indoor Scenes and 2D layouts.

Prior to joining SFU, I completed my M.Tech in Electrical Engineering (Signal Processing) from the Indian Institute of Technology Gandhinagar in 2016, where I was supervised by Prof. Shanmuganathan Raman.
For a brief period of time, I was a special visiting student at the Unoki lab at JAIST, Japan .

I completed my B.E in Electronics and Communication Engineering from PESIT , Bangalore in 2012.


Paper on Recursive Neural Network Architecture for Indoor Scenes was
accepted to Transactions on Graphics (TOG) with minor revision. Details coming soon!

Paper on Language-Driven Scene Synthesis was accepted to SIGGRAPH-Asia, 2018.
More details on the Project Page.

10-16 Aug'18:
I was a Student Volunteer for the 45th ACM SIGGRAPH event here in Vancouver, B.C.


"Si falta pasiĆ³n no se encuentra la victoria".

- Rafa

GRAINS: Generative Recursive Autoencoders for INdoor Scenes
Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao Zhang
Transactions on Graphics (accepted with minor revision), 2018

Language-Driven Synthesis of 3D Scenes Using Scene Databases
Rui Ma*, Akshay Gadi Patil*, Matthew Fisher, Manyi Li, Sören Pirk,
Binh-Son Hua, Sai-Kit Yeung, Xin Tong, Leonidas Guibas, Hao Zhang
SIGGRAPH-Asia, Tokyo, 2018 (*Co-first Authors)

Project Page, Media , On Twitter

Automatic Content-Aware Non-Photorealistic Rendering of Images
Akshay Gadi Patil, Shanmuganathan Raman
International Symposium on Visual Computing (ISVC), Las Vegas, 2016.
[ Paper]
Tone Mapping HDR Images Using Local Texture and Brightness Measures
Akshay Gadi Patil, Shanmuganathan Raman
International Conference on Computer Vision and Image Processing (CVIP), 2016.


"I was born not knowing and have had only a little time to change that here and there".

- Richard Feynman

Study on Two Tone Suppression for Audio Watermarking Methods
Research Project at Unoki lab
Robust Speaker Authentication for Mobile based banking applications
Final year Undergrad Project
Speech and Audio Lab, Indian Institute of Science