Akshay Gadi Patil
Ph.D Student
GrUVi Lab
School of Computing Science
Simon Fraser University
Email:
Office: TASC-1 8004
I am a fourth year Ph.D student working in Computer Graphics, advised by Hao (Richard) Zhang.
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 , working with Shanmuganathan Raman. I have also spent time as a visiting student at JAIST, Japan .
"Si falta pasión no se encuentra la victoria".
- Rafa
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DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao Zhang ECCV 2020 Paper |
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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 |
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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 |
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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 |
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Automatic Content-Aware Non-Photorealistic Rendering of Images
Akshay Gadi Patil, Shanmuganathan Raman International Symposium on Visual Computing (ISVC), Las Vegas, 2016. Paper |
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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. |
Reviewer for: CVPR (2021), ICLR (2020, 2021), SIGGRAPH (2019), ICPR(2020), CGF (since 2020), TVCG (since 2019), The Visual Computer (since 2018)
Student Volunteer at SIGGRAPH'18