Data Driven Computational Imaging @ CVPR 2019
A tutorial on Computational Imaging and Machine Learning
Monday morning, June 17th
Room 202B
We review the recent advances in computational imaging and the benefits of incorporating deep learning techniques to imaging tasks. In this tutorial, attendees will first get an overview of computational imaging, followed by several in depth examples demonstrating how data-driven techniques are used in different computational imaging tasks. Finally, we'll have hands on examples of different rendering techniques, an essential tool for robust data-driven computational imaging solutions.
Schedule and Materials
Monday, June 17th, Room 202B
Check this page for updated materials and slides
- 8:30-8:50
- Introduction to Computational Imaging [G. Satat]
- Slides
- 8:50-9:15
- Data-Driven Computational Imaging Survey [T. Swedish]
- Slides
- 9:15-10:00
- Data Driven Non-line-of-sight Imaging and 3D Reconstruction [G. Satat]
- Slides
- 10:00-10:20
- Break
- 10:20-11:00
- Rendering and Simulation for Data Driven Computational Imaging [T. Swedish]
- Slides
- 11:00-12:00
- Visual Sensing Using Machine Learning [V. Boominathan, A. Veeraraghavan]
- Slides
Organizers
Ramesh Raskar
Associate Professor, MIT Media Lab
Ramesh Raskar joined the Massachusetts Institute of Technology from Mitsubishi Electric Research Laboratories in 2008 as head of the Media Lab’s Camera Culture research group. His research interests span the fields of
computational photography, inverse problems in imaging and human-computer interaction. He is a recipient of TR100 award from Technology Review, 2004, Global Indus Technovator Award, top 20 Indian technology innovators worldwide, 2003, Alfred P. Sloan Research Fellowship award, 2009 and Darpa Young Faculty award, 2010. He holds over 50 US patents.
Personal Webpage.
Ashok Veeraraghavan
Associate Professor, ECE, Rice
Ashok Veeraraghavan is currently an Associate Professor of Electrical and Computer Engineering at Rice University, Tx, USA. At Rice University, Prof. Veeraraghavan directs the Computational Imaging and Vision Lab. His research interests are broadly in the areas of computational imaging, computer vision and robotics. Before joining Rice University, he spent three wonderful and fun-filled years as a Research Scientist at Mitsubishi Electric Research Labs in Cambridge, MA. He received his Bachelors in Electrical Engineering from the Indian Institute of Technology, Madras in 2002 and M.S and PhD. degrees from the Department of Electrical and Computer Engineering at the University of Maryland, College Park in 2004 and 2008 respectively. His thesis received the Doctoral Dissertation award from the Department of Electrical and Computer Engineering at the University of Maryland.
Personal Webpage.
Guy Satat
PhD Candidate, MIT Media Lab
Guy Satat obtained a B.Sc. degree in Electrical Engineering and a B.Sc. degree in Physics from the Technion-Israel Institute of Technology, Israel, as part of the Technion’s Program for Excellence. In 2013, he joined the Camera Culture Group in the MIT Media Lab, Massachusetts Institute of Technology, USA, as a
Graduate Student, and received an M.S. in 2015. He is currently a Ph.D. student in the MIT Media Lab. His research interests include imaging through scattering, time-resolved imaging and compressive imaging.
Personal Webpage.
Tristan Swedish
PhD Student, MIT Media Lab
Tristan Swedish received a degree in Electrical Engineering and Physics at
Northeastern University, where he created computational models of light
propagation in biological tissue. He is currently a PhD student in the Camera
Culture Group at the MIT Media Lab, after receiving his masters in 2017. His
research interests include the combination of imaging systems and data-driven
methods for portable health screening, visual navigation, and non-line-of-sight
imaging.
Personal Webpage.
Vivek Boominathan
PhD Candidate, ECE, Rice
Vivek Boominathan is a Ph.D. candidate in the Electrical and Computer Engineering Department at Rice University, Houston, TX. His research interests lie in the areas of computer vision, signal processing, and computational imaging. Mr. Boominathan received his B.Tech in Electrical Engineering from the Indian Institute of Technology, Hyderabad in 2012 and M.S. degree from the Department of Electrical and Computer Engineering at Rice University in 2016.
Personal Webpage.