Akshay Gadi Patil

About Me

Hello! I am a fourth year Ph.D student working in Computer Graphics.
My research revolves around the Geometric application of Deep Learning for content creation and understanding.
Specifically, I focus on structural analysis and generation of 3D Indoor Scenes and 2D Layouts.

I was an Applied Scientist Intern at Amazon, from Dec 2018 to Mar 2019.

Prior to joining SFU, I completed my M.Tech in Electrical Engineering (Signal Processing) from the Indian Institute of Technology Gandhinagar in 2016. I have also spent time as a visiting student at JAIST, Japan .

Publications [Scholar]

"Si falta pasión no se encuentra la victoria".

- Rafa

2020

	DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao Zhang ECCV 2020 Paper
	READ: Recursive Autoencoders for Document Layout Generation Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Elor CVPR 2020 (Workshop on Text and Documents in Deep Learning Era, *Best Paper Award* ) Paper, Supplementary

2018

	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 (Special Issue of SIGGRAPH 2019) Project Page
	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

2016

	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.

About Me

Publications [Scholar]

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