[4eyes] Talk: Nima Khademi Kalantari, Tuesday, April 24th 1:00pm HFH 1132

[Pradeep Sen]

​Hi everyone,

Nima (a former student) will be presenting tomorrow at the joint group
meeting.  Info below.

Best,

-Pradeep








*Nima Khademi KalantariUC San DiegoTuesday, April 24, 20181:00pm Rm--1132
Harold Frank Hall*
*Title:* Utilizing Physics in Deep Learning for Graphics

*Abstract:* The field of computer graphics, specifically computational
photography and rendering, has seen tremendous progress over the past
decades and, as a result, is an essential part of the film, gaming, and
camera industries. However, the current state-of-the-art algorithms use
complex optimization systems with heuristic components, and thus, are
typically slow and produce sub-optimal results. Deep learning has the
potential to revolutionize computer graphics by modeling problems in a
data-driven and systematic way. However, the major challenge in applying
deep learning to synthesis applications, such as view synthesis and high
dynamic range imaging, is the task complexity and lack of large scale
training data.

In this talk, I show how to address these problems by incorporating the
underlying physical process of these applications into deep learning.
Instead of solving one complex problem with deep learning, which is often
intractable, I propose to break it into two smaller sub-problems that are
physically motivated and easier to learn on limited training data.
Specifically, I propose a novel, general two-stage framework, which can be
applied (with slight modifications) to a variety of problems, including
light field image synthesis, high dynamic range image and video generation,
and Monte Carlo denoising.

*Bio:* Nima Khademi Kalantari is a postdoctoral researcher at the
University of California, San Diego. He received his Ph.D. from the
University of California, Santa Barbara in 2015. Nima's primary research
interests are in computer graphics with an emphasis on computational
photography and rendering. He has recently focused on developing deep
learning techniques for image synthesis in these two fields.



---
Pradeep Sen
Associate Professor
UCSB MIRAGE Lab
Dept. of Electrical & Computer Engineering
University of California, Santa Barbara
Santa Barbara, CA 93106-9560
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