From mturk at ucsb.edu  Mon Apr  2 18:18:12 2018
From: mturk at ucsb.edu (Matthew Turk)
Date: Mon, 2 Apr 2018 18:18:12 -0700
Subject: [4eyes] No lab meeting this week
Message-ID: <018201d3cae9$a2860840$e79218c0$@ucsb.edu>

We won't have a lab meeting this week (tomorrow). We'll probably have one
next week (Tues. April 10, 1:00pm in 1132 HFH).
 
                Matthew
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180402/0f4e937a/attachment-0001.html>

From mturk at ucsb.edu  Mon Apr  9 10:08:44 2018
From: mturk at ucsb.edu (Matthew Turk)
Date: Mon, 9 Apr 2018 10:08:44 -0700
Subject: [4eyes] FW: [COGSCI-STEERING] Cognitive Science events for week of
	April 9 - 13
In-Reply-To: <MWHPR0801MB38049A7C89DBC037B3BA3EBAF0BF0@MWHPR0801MB3804.namprd08.prod.outlook.com>
References: <MWHPR0801MB38049A7C89DBC037B3BA3EBAF0BF0@MWHPR0801MB3804.namprd08.prod.outlook.com>
Message-ID: <027d01d3d025$6ad68f50$4083adf0$@ucsb.edu>

This talk/tutorial on statistical power should be interesting to those in
the lab who do user studies (or really any kind of data analysis). It's this
Friday, noon to 1:30pm.
 
                Matthew
 
From: Cogsci-steering <cogsci-steering-bounces at lists.cs.ucsb.edu> On Behalf
Of Crystal Bae
Sent: Monday, April 9, 2018 9:21 AM
To: cogsci-students at lists.cs.ucsb.edu; cogsci-faculty at lists.cs.ucsb.edu
Cc: cogsci-steering at lists.cs.ucsb.edu
Subject: [COGSCI-STEERING] Cognitive Science events for week of April 9 - 13
 
Hi all,
This event may be of interest to you. Professor Collins (UCSB Psychological
and Brain Sciences) is holding a tutorial on Statistical Power this Friday.
 
Friday, April 13 - Tutorial on Statistical Power by Nancy Collins
(*** will run from 12:00 to 1:30***)
SAGE Center Conference Room, Psychology 1312
 
In addition, the UCSB Grad Slam preliminary rounds begin this week, and many
of your fellow students are participating! The schedule is available at:
http://www.gradpost.ucsb.edu/grad-slam/2018/prelim-schedule
 
Enjoy your week,
 
Crystal Bae
cbae at geog.ucsb.edu <mailto:cbae at geog.ucsb.edu> 
Department of Geography, Ellison 5835
University of California, Santa Barbara
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180409/4df00d10/attachment-0001.html>

From mturk at ucsb.edu  Mon Apr  9 13:44:00 2018
From: mturk at ucsb.edu (Matthew Turk)
Date: Mon, 9 Apr 2018 13:44:00 -0700
Subject: [4eyes] FW: Job openings at Avametric
In-Reply-To: <AAA28FF5-880C-47A6-B236-3EA4F47C5987@avametric.com>
References: <AAA28FF5-880C-47A6-B236-3EA4F47C5987@avametric.com>
Message-ID: <046a01d3d043$7d5e13a0$781a3ae0$@ucsb.edu>

FYI

-----Original Message-----
From: James O'Brien <job at avametric.com> 
Sent: Monday, April 9, 2018 1:38 PM
To: James O'Brien <job at avametric.com>
Subject: Job openings at Avametric

Please share with your students and/or colleagues who might be interested in a job in the San Francisco Bay Area.  

* Avametric in San Francisco is hiring for the following positions:

* Simulation Developer: https://www.avametric.com/simulation-developer

* Graphics Applications Developer: https://www.avametric.com/graphics-engine-engineer

* Body Modeling Engineer: https://www.avametric.com/body-modeling-api-engineer

* Production Artist: https://www.avametric.com/production-artist

* Internship Opportunities: https://www.avametric.com/internship-opportunities

Avametric technology enables clothing brands to deliver accurate 3D renderings of their apparel and accessories on customizable digital body models for web, mobile, and AR.



--
James F. O?Brien
Chief Scientist, Avametric
job at avametric.com http://jamesobrien.com




From mturk at ucsb.edu  Mon Apr  9 15:15:04 2018
From: mturk at ucsb.edu (Matthew Turk)
Date: Mon, 9 Apr 2018 15:15:04 -0700
Subject: [4eyes] Lab meeting tomorrow 1:00pm @ 1132 HFH
Message-ID: <07fe01d3d050$36a65d70$a3f31850$@ucsb.edu>

We'll have a lab meeting tomorrow at 1:00pm in the CS Conference Room. Peter
will give a practice talk for his Qualcomm fellowship presentation.
 
                Matthew
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180409/1c1352e6/attachment-0001.html>

From mturk at ucsb.edu  Fri Apr 13 09:15:37 2018
From: mturk at ucsb.edu (Matthew Turk)
Date: Fri, 13 Apr 2018 09:15:37 -0700
Subject: [4eyes] =?utf-8?q?FW=3A_SEMINAR_-_ALLISON_OKAMURA_=28STANFORD=29_?=
	=?utf-8?q?=C2=B7_MON_APRIL_16_=C2=B7_1PM_=C2=B7_ELINGS_1601?=
In-Reply-To: <EA5FB2E3-1D63-41F1-A5E9-65892F709271@ece.ucsb.edu>
References: <EA5FB2E3-1D63-41F1-A5E9-65892F709271@ece.ucsb.edu>
Message-ID: <069201d3d342$a93743f0$fba5cbd0$@ucsb.edu>

In case this talk announcement hasn?t made it to the lab yet?.

 

 


http://seminar.mat.ucsb.edu/MATSeminar-Spring2018-April9--Allison_Okamura.html


 

 

 

 

 


 


 <http://seminar.mat.ucsb.edu/> 


 <http://seminar.mat.ucsb.edu/> 


 


 <http://seminar.mat.ucsb.edu/> 

ENGINEERING HAPTIC ILLUSIONS
\
MONDAY. APRIL.16TH. 2018 ? 1PM ? ELINGS 1601

 

 


/
Haptic (touch) feedback can play myriad roles in enhancing human performance and safety in skilled tasks. In teleoperated surgical robotics, force feedback improves the ability of a human operator to effectively manipulate and explore patient tissues that are remote in distance and scale. In virtual and augmented reality, wearable and touchable devices use combinations of kinesthetic (force) and cutaneous (tactile) feedback to make rich, immersive haptic feedback both more compelling and practical. In this talk, I will present a collection of novel haptic devices, control algorithms, and user performance studies that demonstrate a wide range of effective design approaches and promising real-world applications for haptic feedback.

/
Allison M. Okamura received the BS degree from the University of California at Berkeley in 1994, and the MS and PhD degrees from Stanford University in 1996 and 2000, respectively, all in mechanical engineering. She is currently Professor in the mechanical engineering department at Stanford University, with a courtesy appointment in computer science. She was previously Professor and Vice Chair of mechanical engineering at Johns Hopkins University. She has been an associate editor of the IEEE Transactions on Haptics, editor-in-chief of the IEEE International Conference on Robotics and Automation Conference Editorial Board, an editor of the International Journal of Robotics Research, and co-chair of the IEEE Haptics Symposium. Her awards include the 2016 Duca Family University Fellow in Undergraduate Education, 2009 IEEE Technical Committee on Haptics Early Career Award, 2005 IEEE Robotics and Automation Society Early Academic Career Award, and 2004 NSF CAREER Award. She is an IEEE Fellow. Her academic interests include haptics, teleoperation, virtual environments and simulators, medical robotics, neuromechanics and rehabilitation, prosthetics, and engineering education. Outside academia, she enjoys spending time with her husband and two children, running, and playing ice hockey.

 

 

	



 <http://seminar.mat.ucsb.edu/> 
seminar.mat.ucsb.edu

 


 

 

 

 

	

 

 

_________________________________________________________

 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180413/f9ad5976/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: MATSeminar_MailHeader.jpg
Type: image/jpeg
Size: 31625 bytes
Desc: not available
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180413/f9ad5976/attachment-0001.jpg>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: AllisonOkamura.gif
Type: image/gif
Size: 14034 bytes
Desc: not available
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180413/f9ad5976/attachment-0001.gif>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.jpg
Type: application/octet-stream
Size: 12808 bytes
Desc: not available
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180413/f9ad5976/attachment-0002.obj>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image002.png
Type: application/octet-stream
Size: 4327 bytes
Desc: not available
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180413/f9ad5976/attachment-0003.obj>

From mturk at ucsb.edu  Mon Apr 16 21:36:57 2018
From: mturk at ucsb.edu (Matthew Turk)
Date: Mon, 16 Apr 2018 21:36:57 -0700
Subject: [4eyes] Lab meeting tomorrow 1pm
Message-ID: <17f401d3d605$ba5b6a10$2f123e30$@ucsb.edu>

We'll have a lab meeting tomorrow at the usual time and place - 1:00pm in
1132 HFH. Agenda items: (1) A short discussion about research ideas in
gigapixel VR (Ismo), and (2) Discussion about writing research papers (John,
Pradeep, Matthew).

 

                Matthew

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180416/d022dd5c/attachment.html>

From psen at ece.ucsb.edu  Mon Apr 23 08:46:00 2018
From: psen at ece.ucsb.edu (Pradeep Sen)
Date: Mon, 23 Apr 2018 08:46:00 -0700
Subject: [4eyes] Talk: Nima Khademi Kalantari, Tuesday,
	April 24th 1:00pm HFH 1132
Message-ID: <CAK-0dufNFWoGJbZeQm6=zST5KKKGvfHqY70y8V3-cQfMy32wCQ@mail.gmail.com>

?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
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180423/444b19fb/attachment.html>

From mturk at ucsb.edu  Mon Apr 23 08:50:44 2018
From: mturk at ucsb.edu (Matthew Turk)
Date: Mon, 23 Apr 2018 08:50:44 -0700
Subject: [4eyes] Lab meeting tomorrow: CS Colloquium Nima Khadami Kalantari
Message-ID: <02d901d3db1a$d7799b20$866cd160$@ucsb.edu>

Our lab meeting tomorrow will be a talk by Nima Kalantari (former PhD student of Pradeep?s and current postdoc at UCSD).
 
                Matthew
 
From: faculty <faculty-bounces at lists.cs.ucsb.edu> On Behalf Of svoglesby at cs.ucsb.edu
Sent: Monday, April 23, 2018 8:44 AM
To: faculty at lists.cs.ucsb.edu; grads at lists.cs.ucsb.edu; lecturers at lists.cs.ucsb.edu; research at lists.cs.ucsb.edu; colloquia at lists.cs.ucsb.edu
Subject: [FACULTY] TOMORROW: Colloquium Nima Khadami Kalantari Tuesday, April 24th 1:00PM HFH 1132
 
Nima Khademi Kalantari
UC San Diego
Tuesday, April 24, 2018
1:00pm 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.
 
 
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180423/c840da34/attachment-0001.html>

From saiphcita at gmail.com  Thu Apr 26 20:16:46 2018
From: saiphcita at gmail.com (Saiph Savage)
Date: Fri, 27 Apr 2018 03:16:46 +0000
Subject: [4eyes] CHI'18
Message-ID: <CAGEqvmKPrH4R9SO8LyOMDDKMZJ-Wvd2uj91CBkEnw+q5S5+gyA@mail.gmail.com>

Greetings Four Eyes Lab!
I just wanted to share (... cof cof brag) that I met Tobias at CHI. We had
good times! he also met my PhD students and we celebrated together our
papers.

It has been wonderful to be part of this four eyes lab family. Thank you.
Thank you all very much.

It has been amazing to do research with you :)

-- 
Sent from my iphone
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180427/a47a9996/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: IMG_2675.jpg
Type: image/jpg
Size: 1419102 bytes
Desc: not available
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180427/a47a9996/attachment-0002.jpg>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: IMG_2678.jpg
Type: image/jpg
Size: 373571 bytes
Desc: not available
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180427/a47a9996/attachment-0003.jpg>

From mturk at ucsb.edu  Fri Apr 27 12:54:01 2018
From: mturk at ucsb.edu (Matthew Turk)
Date: Fri, 27 Apr 2018 12:54:01 -0700
Subject: [4eyes] FW: CCDC Seminar TOMORROW: "A new look at machine learning
	as function approximation" by Hrushikesh Mhaskar
In-Reply-To: <145f4d86-e764-87c0-ff49-0231bf6de3a2@ece.ucsb.edu>
References: <145f4d86-e764-87c0-ff49-0231bf6de3a2@ece.ucsb.edu>
Message-ID: <22b901d3de61$7d5fca20$781f5e60$@ucsb.edu>

FYI (today at 3pm)
 
From: Kallie Hill (CCDC Admin) <ccdc-admin at ece.ucsb.edu> 
Sent: Thursday, April 26, 2018 8:28 AM
To: ccdc-students at ece.ucsb.edu; ccdc-faculty at ece.ucsb.edu; ccdc-members at ece.ucsb.edu
Subject: CCDC Seminar TOMORROW: "A new look at machine learning as function approximation" by Hrushikesh Mhaskar
 
Good morning all,
Hrushikesh Mhaskar will be visiting tomorrow to give the CCDC Seminar. More information about his talk is attached as well as located below.
If you are interested in meeting with Prof. Mhaskar please respond to this email or put your name in one of the empty spots on this google doc. <https://docs.google.com/spreadsheets/d/19193sKXoYJ6Nve-dUA4TAx-xeff7zsBaP9xiZ0BH73w/edit?usp=sharing> 
Best always,
Kallie
 
A new look at machine learning as function approximation
By Hrushikesh Mhaskar
Friday, April 27 @ 3pm in Webb 1100
A central problem in machine learning is the following. Given data $(x_i,y_i)$ sampled randomly from an unknown probability distribution, find a model $P$ that fits the data well. The generalization error is defined as the expected value of $(y-P(x))^2$ with respect to the unknown probability distribution. We point out that this paradigm is not appropriate for deep learning. We then propose an alternative look at the problem, posing it as a pure function approximation problem. We will review briefly some basic approximation theory concepts in the case of shallow networks in our new paradigm, in particular, an explanation of how the training error can be driven to zero while the test error can be kept in control. We will then point out the extensions for deep networks, and if time permits, a connection with the problem of super-resolution.
Hrushikesh Mhaskar (b. 1956, Pune, India) did his undergraduate studies in Institute of Science, Nagpur, and received his first M. Sc. in mathematics from the Indian Institute of Technology in Mumbai in 1976. He received his Ph. D. in mathematics and M. S. in computer science from the Ohio State University, Columbus, in 1980. He then joined Cal. State L. A., and was promoted to full professor in 1990. After retirement in 2012, he was a visiting associate with California Institute of Technology until 2017, and occasionally served as a consultant for Qualcomm. Since 2012, he is also Research Professor at Claremont Graduate            University. He has published more than 140 refereed articles in the area of approximation theory, potential theory, neural networks, wavelet analysis, and data processing. His book,?Weighted polynomial approximation?, was published in 1997 by World Scientific, and the book with Dr. D. V. Pai, ?Fundamentals of Approximation Theory? was published by Narosa Publishers, CRC, and Alpha Science in 2000. He serves on the editorial boards of Applied and Computational Harmonic Analysis, Frontier Journal on mathematics of computation and data science, Journal of Approximation Theory, and Jaen Journal of Approximation. In addition, he was a co-editor of a special issue of Advances in Computational Mathematics on mathematical aspects of neural networks, two volumes of Journal of Approximation Theory, dedicated to the memory of G. G. Lorentz, as well as three edited collections of research articles: Wavelet Analysis and Applications, Narosa Publishers, 2001, Frontiers in interpolation and approximation, Chapman and Hall/CRC, 2006, and New Methods in Harmonic Analysis, Springer, 2017. He has held visiting positions, as well as given several invited lectures throughout North America, Europe, and Asia. He was awarded the Humboldt Fellowship for research in Germany four times. He was John von Neumann distinguished professor at Technical University of Munich in 2011, visiting associate at California Institute of Technology, 2012-2017. He is listed in Outstanding Young Men of America (1985) and Who?s Who in America?s Teachers (1994). His research was supported by the National Science Foundation and the U. S. Army Research Office, the Air Force Office of Scientific Research, the National Security Agency, and the Research and Development Laboratories. 
-- 
Kallie Hill
Administrative Coordinator
Center for Control, Dynamical-systems and Computation
5119 Harold Frank Hall
University of California, Santa Barbara
805-893-7066
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180427/dfc65195/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: HrushikeshMhaskar.pdf
Type: application/pdf
Size: 584302 bytes
Desc: not available
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20180427/dfc65195/attachment-0001.pdf>

From ismo.rakkolainen at uta.fi  Mon Apr 30 21:21:18 2018
From: ismo.rakkolainen at uta.fi (Ismo Rakkolainen)
Date: Mon, 30 Apr 2018 21:21:18 -0700
Subject: [4eyes] VR LA on Saturday?
Message-ID: <85a4ed05-882d-4a9b-153d-a1150325fc77@uta.fi>

Hi

I will visit VR LA 2018 Expo, https://virtualrealityla.com/, on Saturday 
($30-40). If anyone is interested to join me, I can give a one-way ride 
on Saturday morning.

IsmoR



