2014-2020
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2009-2014
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Indian Institute of Technology (IIT) Madras, India
B.Tech.-M.Tech. (joint) Electrical Engineering Minor: Economics CGPA: 9.37 / 10.0 [Transcript] Philips India Award for highest cumulative GPA in Electrical Engineering at the time of graduation |
2014-2020
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Stanford University, Ph.D. Student
Advisor (2015-present): Prof. Bernd Girod Area: Virtual reality, light fields, computer graphics Project: Data representations for live-action virtual reality with motion parallax, real-time six degrees of freedom 360 rendering, effects of motion parallax and binocular stereopsis on viewer preference and subjective visual perception in virtual reality Thesis: Cinematic Virtual Reality with Head-motion Parallax |
2012-2014
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Indian Institute of technology (IIT) Madras, M.Tech. Student
Advisor: Dr. Shankar Balachandran Area: Fourier Transform on Galois Field, digital logic synthesis, discrete math Project: Predicting the post-synthesis complexity of digital logic using Fourier Transform on Boolean Cube [Master Thesis] |
December 2020
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SCIEN Distinguished Poster Award by OPPO
J. Thatte, B. Girod, "Cinematic Virtual Reality with Head-motion Parallax" [Poster] |
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December 2017
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SCIEN Distinguished Poster Award by NVIDIA
J. Thatte, B. Girod, "Stacked OmniStereo for Virtual Reality with Six Degrees of Freedom" [Poster] |
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September 2016
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IEEE SPS Best Conference Paper for Industry
J. Thatte, J. -B. Boin, H. Lakshman, G. Wetzstein, B. Girod, “Depth Augmented Stereo Panorama for Cinematic Virtual Reality with Focus Cues”, IEEE International Conf. on Image Processing (ICIP), 2016. [Abstract] [Webpage] [PDF] [Supplement] [Award] |
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December 2015
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SCIEN Distinguished Poster Award by Apple
J. Thatte, B. Girod, "Depth Augmented Stereo Panorama for Cinematic Virtual Reality" [Poster] |
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July 2014
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Philips India Award for highest cumulative GPA at the time of graduation with B.Tech-M.Tech dual degree in electrical engineering
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October 2013
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Ranked in top 3 nationwide (from 300 teams) in GS Quantify, a modeling and problem solving contest held by Goldman Sachs in India.
[Contest Problems] [Final Presentation] |
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October 2008
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Represented India and won a silver medal at the XIII International Astronomy Olympiad, Trieste, Italy among teams from 22 countries
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J. Thatte, B. Girod, “A Statistical Model for Disocclusions in Depth-based Novel View Synthesis”, IEEE Conference on Visual Communications and Image Processing, 2019.
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J. Thatte, B. Girod, “The Effect of Motion Parallax and Binocular Stereopsis on Viewer Preference and Size Perception in Virtual Reality”, European Conference on Computer Vision (ECCV), Workshop on 360-Degree Perception and Interaction, 2018.
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J. Thatte, B. Girod, “Towards Perceptual Evaluation of Six Degrees of Freedom Virtual Reality Rendering from Stacked OmniStereo Representation”, Photography, Mobile, and Immersive Imaging Conference, Electronic Imaging Symposium, 2018.
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J. Thatte, T. Lian, B. Wandell, B. Girod, “Stacked Omnistereo for Virtual Reality with Six Degrees of Freedom”, IEEE Visual Communications and Image Processing (VCIP), 2017.
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J. Thatte, J. -B. Boin, H. Lakshman, G. Wetzstein, B. Girod, “Depth Augmented Stereo Panorama for Cinematic Virtual Reality with Focus Cues”, IEEE International Conference on Image Processing (ICIP), 2016.
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J. Thatte, J. -B. Boin, H. Lakshman, B. Girod, “Depth Augmented Stereo Panorama for Cinematic Virtual Reality with Head-Motion Parallax”, IEEE International Conference on Multimedia and Expo (ICME), 2016.
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Cinematic Virtual Reality, Head-motion Parallax, and Visual Perception
[Details]
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Deep Learning
[Details]
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Features, Descriptors, and Registration
[Details]
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Astrophysics
[Details]
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Modeling and Algorithms
[Details]
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Winter 2018
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Fall 2013
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Indian Institute of Technology (IIT) Madras, India
Analog Circuits [Website] EC3102: Teaching Assistant |
June-September 2016
Cupertino, CA, USA |
Apple Inc.
Position: Software Engineering Intern Keywords: Deep Learning, Novel View Synthesis Project: Worked on developing an algorithm for high-quality novel view synthesis with constrains on total computation. Combined deep learning with classical methods to minimize computation while maintaining the image quality. |
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May-July-2013
Singapore |
Barclays Bank PLC
Position: Quantitative Strategist Intern Keywords: Statistics, Modelling, Finance Project: Developed a method for predicting profitability of prospective bonds transactions by modeling market movement. Devised a strategy for profitable hedging and identified client groups with potential for revenue enhancement. |
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May-July-2012
Dresden, Germany |
Technical University Dresden
Position: Research Intern (advised by Prof. Gerard Fettweis) Keywords: Wireless Communication, Cognitive Radio, Femtocells Project: Developed an algorithm for cognitive interference management in user-deployed femtocell networks. Each femtocell adjusted its power and frequency in a distributed manner thereby reducing the overall outage probability for end-users and substantially increasing the total network capacity. |
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May-July-2011
Pune, India |
Bitmapper VLSI Solutions
Position: Intern Keywords: Digital systems design, FPGA Project: I developed an FPGA-based QDR controller IP designed for fast operation and achieved a data transfer rate of 100MBps. I also developed an IP to interface Xilinx FPGA with TI DSP using EMIF bus for high speed signal processing applications. Both the IPs were developed in VHDL and delivered to the client at the end of the internship. [PDF] |
Programming
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Python, MATLAB, OpenGL, CUDA, C++, Unity3D
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Languages
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English
Hindi Marathi German |
Native/multilingual
Native/multilingual Native/multilingual Basic |
Email
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jayantt [at] stanford [dot] edu
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Office
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Stanford University,
David Packard Electrical Engineering,
350 Serra Mall #353,
Stanford, CA, 94305
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Last updated on May 02, 2020