<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body text="#000000" bgcolor="#FFFFFF">
<font class="" face="Cambria"><font class="" style="font-size:
14px;">1st International Workshop in <b>Deep Learning for
Activity Monitoring</b> (DLAM 2019)</font></font>
<div class="moz-forward-container">
<p style="background-color: rgb(255, 255, 255);" class=""><font
class="" face="Cambria"><font class="" style="font-size:
14px;">Taipei - TAIWAN, September 21st 2019</font></font></p>
<p style="background-color: rgb(255, 255, 255);" class=""><font
class="" face="Cambria"><font class="" style="font-size:
14px;">In conjunction with (<b>AVSS 2019</b>) - 16th IEEE
International Conference on Advanced Video and Signal-based
Surveillance </font></font></p>
<p style="background-color: rgb(255, 255, 255);" class=""><font
class="" face="Cambria"><font class="" style="font-size:
14px;">Workshop Website: </font><span class=""
style="font-size: 14px;"> </span><span class=""
style="font-size: 14px;"><a
href="http://dlam2019.isasi.cnr.it/home/" class=""
moz-do-not-send="true">http://dlam2019.isasi.cnr.it/home/</a></span></font></p>
<p style="background-color: rgb(255, 255, 255);" class=""><font
face="Cambria">---<br>
<font size="-1">Note: the Workshop will be organized
back-to-back with the IEEE <b>International Conference on
Image Processing (ICIP)</b> 2019, which is also held in
Taipei from 9/22 to 9/25. Attendants will be able to
conveniently attend two leading computer vision/image
processing conferences and their workshops in a single trip
to Taiwan!<br>
---</font></font><br>
<font class="" face="Cambria"><span class="" style="font-size:
14px;"></span></font></p>
<div class="moz-forward-container">
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br>
</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria">*****************************<br
class="">
IMPORTANT DATES<br class="">
******************************<br class="">
<br class="">
<u>Submission deadline: </u><u><b>July 6th</b></u><u> 2019</u><br
class="">
Paper acceptance notification: July 14th 2019<br class="">
Camera ready: July 29th 2019<br class="">
<br class="">
*************************<br class="">
CALL FOR PAPERS<br class="">
*************************<br class="">
<br class="">
In last decade, Deep Learning has become the most used
approach to any computer vision problem; on the other hand,
there has been a growing diffusion of many different kind of
sensing device (static and mobile) for environmental
monitoring and surveillance purposes. <br class="">
The focus of the Workshop is on the application of Deep
Learning approaches to the activity recognition, with
special attention to real applications in real contexts. <br
class="">
We encourage researchers to formulate innovative feature
representations, learning methodologies, and end-to-end
vision systems based on deep learning. Aim of this workshop
is to bring together researchers from different communities
(such as Computer Vision, networked embedded sensing,
artificial intelligence and so on) which address both the
main topics of Deep Learning and Activity Recognition.<br
class="">
<br class="">
</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria">- Single
and multiple object tracking</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria">-
Re-identification</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
- Human behavior analysis</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
- Deep Learning in embedded systems</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
- Deep Learning for crowd analysis </font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
- Individual activity detection and recognition</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
- Multi-agent/multi sensing activity detection and
recognition</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
- Scene understanding</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
- Sensor calibration</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
- Event detection</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
- Real time applications</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria">-
Advancements in deep learning</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br>
</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><br>
<u><font class="" style="font-size: 14px;" face="Cambria"><font
color="#000000"><font size="+1">Note that accepted
papers will be published in the Main Conference
proceedings.</font><br>
</font></font></u><font size="-1" face="Cambria"
color="#000000"><br>
</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
size="-1" face="Cambria" color="#000000">Please visit our
Workshop website </font><font size="-1" face="Cambria"
color="#000000"><a href="http://dlam2019.isasi.cnr.it/home/"
moz-do-not-send="true">http://dlam2019.isasi.cnr.it/home/</a>
for information about DLAM 2019, while more details about
the Main Conference can be found at </font><font size="-1"
face="Cambria" color="#000000"><a
href="http://avss2019.org/" moz-do-not-send="true">http://avss2019.org/</a></font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><br
class="">
</font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><font
class="" style="font-size: 14px;" face="Cambria">*************************<br
class="">
</font></font><font class="" style="font-size: 14px;"
face="Cambria"><font class="" style="font-size: 14px;"
face="Cambria"><font class="" style="font-size: 14px;"
face="Cambria">INVITED SPEAKERS</font></font></font></div>
<div class="" style="background-color: rgb(255, 255, 255);"><font
class="" style="font-size: 14px;" face="Cambria"><font
class="" style="font-size: 14px;" face="Cambria">*************************</font></font></div>
<br>
<div class="" style="background-color: rgb(255, 255, 255);">
<div class="" style="box-sizing: border-box; margin: 0px;
padding: 0px; border: 0px none; outline: 0px none
currentcolor; vertical-align: baseline; caret-color: rgb(51,
67, 70);"><font class="" face="Cambria"><font class=""
style="font-size: 14px;"> </font><span class=""
style="font-size: 14px; font-style: inherit;
font-variant-caps: inherit;"><b class="">Jeff Alstott –
IARPA </b></span></font></div>
<div class="" style="box-sizing: border-box; margin: 0px;
padding: 0px; border: 0px none; outline: 0px none
currentcolor; vertical-align: baseline; caret-color: rgb(51,
67, 70);"><span class="" style="font-size: 14px; font-style:
inherit; font-variant-caps: inherit;"><font class=""
face="Cambria"><br class="">
</font></span></div>
<div class="" style="box-sizing: border-box; margin: 0px;
padding: 0px; border: 0px none; outline: 0px none
currentcolor; vertical-align: baseline; caret-color: rgb(51,
67, 70);"><span class="" style="text-align: justify;
font-size: 14px;"><font class="" face="Cambria">Dr. Jeff
Alstott is a program manager at IARPA. He previously
worked for MIT, Singapore University of Technology and
Design, the World Bank and the University of Chicago. He
obtained his PhD studying complex networks at the
University of Cambridge, and his MBA and bachelor’s
degrees from Indiana University. He has published
research in such areas as animal behavior, computational
neuroscience, complex networks, design science,
statistical methods, and S&T forecasting.</font></span></div>
<div class="" style="box-sizing: border-box; margin: 0px;
padding: 0px; border: 0px none; outline: 0px none
currentcolor; vertical-align: baseline; caret-color: rgb(51,
67, 70);"><span class="" style="text-align: justify;
font-size: 14px;"><font class="" face="Cambria"><br
class="">
</font></span></div>
<div class="" style="box-sizing: border-box; margin: 0px;
padding: 0px; border: 0px; outline: 0px; vertical-align:
baseline; caret-color: rgb(51, 67, 70); color: rgb(51, 67,
70);"><font color="#000000"> </font><br>
<div class="">
<div class="" style="caret-color: rgb(0, 0, 0); color:
rgb(0, 0, 0);">
<div class="" style="background-color: rgb(255, 255,
255);"><font class="" style="font-size: 14px;"
face="Cambria"><font class="" style="font-size:
14px;" face="Cambria">*************************<br
class="">
</font></font><font class="" face="Cambria"><span
class="" style="font-size: 14px;">ORGANIZERS</span></font></div>
<div class="" style="caret-color: rgb(0, 0, 0); color:
rgb(0, 0, 0);"><font class="" style="font-size: 14px;"
face="Cambria"><font class="" style="font-size:
14px;" face="Cambria">*************************</font></font><font
class="" face="Cambria"><span class=""
style="font-size: 14px;"> <br>
</span></font></div>
</div>
</div>
</div>
<div class="" style="box-sizing: border-box; margin: 0px;
padding: 0px; border: 0px; outline: 0px; vertical-align:
baseline; caret-color: rgb(51, 67, 70); color: rgb(51, 67,
70);"><span class="" style="text-align: justify; font-size:
14px;"><font class="" face="Cambria"><br class="">
</font></span></div>
<div class="" style="box-sizing: border-box; margin: 0px;
padding: 0px; border: 0px; outline: 0px; vertical-align:
baseline;"><span class="" style="text-align: justify;"><font
class="" face="Cambria"><font class="" color="#334346"><span
class="" style="font-size: 14px;"><font class=""
color="#000000"><b class="">Rama Chellappa</b></font>,
<font color="#000000">University of
Maryland, College Park, USA</font></span></font></font></span></div>
<div class="" style="box-sizing: border-box; margin: 0px;
padding: 0px; border: 0px; outline: 0px; vertical-align:
baseline; caret-color: rgb(51, 67, 70); color: rgb(51, 67,
70);"><span class="" style="text-align: justify; font-size:
14px;"><font class="" face="Cambria"><br class="">
</font></span></div>
<div class="" style="box-sizing: border-box; margin: 0px;
padding: 0px; border: 0px; outline: 0px; vertical-align:
baseline; caret-color: rgb(51, 67, 70); color: rgb(51, 67,
70);"><font class="" face="Cambria"><span class=""
style="text-align: justify; font-size: 14px;"><font
class=""><b class="">P</b></font></span><span class=""
style="font-size: 14px; caret-color: rgb(0, 0, 0);
color: rgb(0, 0, 0);"><b class="">ier Luigi Mazzeo</b>,
CNR-Institute of Applied Sciences and Intelligent
Systems, IT</span></font></div>
<div class="">
<pre class=""><pre class=""><span class="" style="font-size: 14px;"><font class="" face="Cambria"><b class="">Paolo Spagnolo</b>, CNR-Institute of Applied Sciences and Intelligent Systems, IT</font></span></pre><pre class=""><span class="" style="font-size: 14px;"><font class="" face="Cambria"><b class="">Lei Zhang,</b> Microsoft AI & Research, USA</font></span></pre><span class="" style="font-size: 14px;"><font class="" face="Cambria">
</font></span><pre class=""><div class="" style="white-space: normal; box-sizing: border-box; margin: 0px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; caret-color: rgb(51, 67, 70); color: rgb(51, 67, 70);"><div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><font class="" style="font-size: 14px;" face="Cambria"><font class="" style="font-size: 14px;" face="Cambria">*************************</font></font></div><div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><font class="" face="Cambria"><span class="" style="font-size: 14px;">CONTACTS</span></font></div><div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><font class="" style="font-size: 14px;" face="Cambria"><font class="" style="font-size: 14px;" face="Cambria">*************************</font></font></div></div></pre><pre class=""><font class="" face="Cambria"><span class="" style="font-size: 14px; white-space: normal;">email: <a href="mailto:wdlam@gmail.com" class="" moz-do-not-send="true">wdlam2019@gmail.com</a></span></font></pre><pre class=""><span class="" style="white-space: normal; font-size: 14px;"><font class="" face="Cambria">website: <a href="http://dlam2019.isasi.cnr.it/home/" class="" moz-do-not-send="true">http://dlam2019.isasi.cnr.it/home/</a></font></span></pre><div class="">
</div></pre>
</div>
</div>
</div>
</div>
</body>
</html>