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<!DOCTYPE html>
<html lang="en">
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<title>Rodrigo Benenson github page</title>
<link rel="stylesheet"
href="https://getbootstrap.com/1.4.0/assets/css/bootstrap.min.css">
<style type="text/css">
body {
padding-top: 60px;
background-color: #FAFAFA;
}
.topbar {
font-size: 1.5em;
}
.container-fluid > .sidebar {
top: 10px;
font-size: 1.5em;
color: #BFBFBF;
}
.container-fluid > .sidebar li {
padding: 0.5em;
}
section {
margin-top: 48px;
}
.master-head h1 {
margin-bottom: 0px;
/*color: #C33;*/
}
.master-head p.lead {
margin-top: 18px;
font-size: 18px;
}
.shadow-title {
text-shadow: 0 1px 2px rgba(0, 0, 0, .5);
}
img.thumbnail {
width: 210px;
/*height: 150px;*/
}
div.container-fluid a:link, div.container-fluid a:visited {
color: #09c;
text-decoration: none;
}
div.container-fluid a:hover {
color: #c33;
}
a.paper_link {
display:inline-block;
background: url("figures/pdf.png") center right no-repeat;
padding-right: 22px;
}
img.bibtex_link {
cursor:pointer;
}
pre.invisible_bibtex {
display: none;
}
a.source_code_link {
font-family: Courier New, Courrier;
font-size: 1.2em;
}
</style>
<script language="javascript" type="text/javascript">
function toggle(element) {
if(element.style.display=="block") {
element.style.display="none";
} else {
element.style.display="block";
}
}
</script>
<!-- Google analytics -->
<script type="text/javascript">
var _gaq = _gaq || [];
_gaq.push(['_setAccount', 'UA-80935-10']);
_gaq.push(['_trackPageview']);
(function() {
var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
})();
</script>
</head>
<body>
<!--
--- layout: default
--- title: Rodrigob's github page
<div id="content_links">
<a href="https://sites.google.com/site/rodrigobenenson/home/publications">(old) Research website</a>
<p> New content here, after the CVPR2012 deadline</p>
!-- <p><a href="research_notes/research_notes.html">Research notes on vision for mobile robots</a></p> --
!-- <p><a href="people_in_stuff/people_in_stuff.html">People in stuff</a></p> --
</div>
!--
<div id="posts_links">
{% for post in site.posts limit:5 %}
<h2><a href="{{ post.url }}">{{ post.title }}</a></h2>
{{ post.content }}
<em>Posted on {{ post.date | date_to_long_string }}.</em>
{% endfor %}
</div>
--
-->
<div class="topbar" data-scrollspy="scrollspy">
<div class="topbar-inner">
<div class="container">
<a class="brand" href="#">Rodrigob's github page</a>
<ul>
<!-- <li class="active"><a href="#">Home</a></li> -->
<li><a href="#publications">Publications</a></li>
<li><a href="#code">Code</a></li>
<li><a href="#data">Data</a></li>
<li><a href="#contact">Contact</a></li>
</ul>
</div><!-- /container -->
</div>
</div><!-- /topbar -->
<div class="container-fluid">
<div class="sidebar">
<div class="well">
<!-- <h5>Sidebar</h5> -->
<ul>
<!-- <li class="active"><a href="#">Home</a></li> -->
<li><a href="#publications">Publications</a></li>
<li><a href="#code">Code</a></li>
<li><a href="#data">Data</a></li>
<li><a href="#contact">Contact</a></li>
</ul>
</div>
</div> <!-- /sidebar -->
<div class="content">
<header class="master-head masthead" id="overview">
<div class="inner">
<div class="container">
<div class="row">
<div class="span16"><h2>I do research</h2></div>
</div> <!-- /row -->
<div class="row">
<div class="offset1 shadow-title"><h1>to save the life
of our children</h1></div>
</div> <!-- /row -->
<div class="row">
<div class="offset4"><h3>(you can <a class=""
href="http://rodrigobenenson.blogspot.com/2011/12/why-i-do-what-i-do.html">check
the numbers</a>)</h3></div>
</div> <!-- /row -->
<p class="lead">
I wish to make <a href="http://youtu.be/Ns896Thb9oY">driverless
vehicles</a> a reality by 2030~2050.
</p>
</div><!-- /container -->
</div>
</header>
<section id="publications">
<div class="container span16">
<div class="page-header">
<h1>Publications
<small>free the ideas!</small>
</h1>
</div>
<div class="row">
<div class="span4">
<p></p>
</div>
<div class="span12">
<!-- <p><h4><a href="http://scholar.google.com/citations?user=SVNNgu4AAAAJ&hl=en">Google citations</a></h4></p> -->
<!-- <p><h4><a href="http://hal.inria.fr/aut/Rodrigo+Benenson/">INRIA publications</a> <small>(2006-2008)</small></h4></p> -->
</div>
</div> <!-- /row -->
<!--<hr>-->
<h4 id="year2016">2016
<small></small>
</h4>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li><a href="http://www.cityscapes-dataset.net">
<img class="thumbnail"
src="figures/2016_cityscapes.jpg"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="https://www.cityscapes-dataset.com/wordpress/wp-content/papercite-data/pdf/cordts2015cvprw.pdf">
The Cityscapes Dataset</a>
</h3>
<p>
<a href="https://www.linkedin.com/in/marius-cordts-2647505b">M. Cordts</a>,
<a href="https://www.d2.mpi-inf.mpg.de/People/mohomran">M. Omran</a>,
<a href="http://www.sebastian-ramos.net/">S. Ramos</a>,
<a href="https://www.linkedin.com/in/timoscharwaechter">T. Scharwächter</a>,
<a href="http://www.markus-enzweiler.de/">M. Enzweiler</a>,
R. Benenson,
<a href="http://www.uwe-franke.de/">U. Franke</a>,
<a href="http://www.visinf.tu-darmstadt.de/team_members/sroth/sroth.en.jsp"S. Roth</a>,
<a href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele">B.
Schiele</a>
<br>Presented at CVPR workshop (unpublished)
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Cordts2015Cvprw);"/>
<br><span class="label success">Chef's recommendation</span>
<pre id="Cordts2015Cvprw" class="invisible_bibtex">
@inproceedings{Cordts2015Cvprw,
title={The Cityscapes Dataset},
author={Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Scharw{\"a}chter, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
booktitle={CVPR Workshop on The Future of Datasets in Vision},
year={2015}
}</pre>
</p>
<blockquote>
<p>Cityscapes is a new large-scale dataset of diverse stereo video sequences recorded in street scenes from 50 different cities (central europe), with high quality semantic labelling annotations of 5 000 frames in addition to a larger set of 20 000 weakly annotated frames.</p>
</blockquote>
<p>Visit <a class="btn"
href="http://www.cityscapes-dataset.net">project
page</a> to download the data, related scripts, and view results leaderboard.</p>
<p>Longer version accepted to CVPR 2016 (spotlight), camera ready in preparation.</p>
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li><a href="http://arxiv.org/abs/1602.01237">
<img class="thumbnail"
src="figures/2016_arxiv_zhang_et_al.jpg"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://arxiv.org/abs/1602.01237">
How far are we from solving pedestrian detection?</a>
</h3>
<p>
<a href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/shanshan-zhang/">S.
Zhang</a>, R. Benenson, <a
href="https://www.d2.mpi-inf.mpg.de/People/mohomran">M.
Omran</a>, <a
href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/jan-hosang/">J.
Hosang</a>, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele">B.
Schiele</a>
<br>CVPR 2016
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Zhang2016arXiv);"/>
<!-- <br><span class="label success">Chef's recommendation</span> -->
<pre id="Zhang2016arXiv" class="invisible_bibtex">
@inproceedings{Zhang2016Cvpr,
Author = {Shanshan Zhang and Rodrigo Benenson and Mohamed Omran and Jan Hosang and Bernt Schiele},
Title = {How Far are We from Solving Pedestrian Detection?},
Year = {2016},
booktitle = {CVPR}
}</pre>
</p>
<blockquote>
<p>We evaluate a human baseline for Caltech pedestrian detection,
analyse the weak areas of current detectors, push detection performance,
and provide new improved the dataset annotations.</p>
</blockquote>
<p>Visit <a class="btn"
href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/how-far-are-we-from-solving-pedestrian-detection/">project
page</a> to download the improved annotations<!--, code, and trained
models-->.</p>
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li><a href="http://arxiv.org/abs/1511.07803">
<img class="thumbnail"
src="figures/2015_arxiv_khoreva_et_al.jpg"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://arxiv.org/abs/1511.07803">
Weakly supervised object boundaries</a>
</h3>
<p>
<a href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/anna-khoreva/">A.
Khoreva</a>, R. Benenson, <a
href="https://www.d2.mpi-inf.mpg.de/People/mohomran">M.
Omran</a>, <a
href="http://www.ml.uni-saarland.de/people/hein.htm">M.
Hein</a>, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele">B.
Schiele</a>
<br>CVPR 2016 (spotlight)
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Khoreva2015arXiv);"/>
<!-- <br><span class="label success">Chef's recommendation</span> -->
<pre id="Khoreva2015arXiv" class="invisible_bibtex">
@inproceedings{Khoreva2016Cvpr,
title={Weakly Supervised Object Boundaries},
author={Khoreva, Anna and Benenson, Rodrigo and Omran, Mohamed and Hein, Matthias and Schiele, Bernt},
booktitle = {CVPR},
year={2016}
}</pre>
</p>
<blockquote>
<p>Using detection bounding box annotations,
we show that it is possible to train surprisingly high quality
class specific object boundary detectors.</p>
</blockquote>
<!-- <p>Visit <a class="btn"
href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/person-recognition-in-personal-photo-collections/">project
page</a> for extended annotations, code, and trained
models.</p> -->
</div>
</div> <!-- /row -->
<hr>
<h4 id="year2015">2015
<small>Listed as CVPR 2015 outstanding reviewer. On average
over the year, received more than one citation per day
</small>
</h4>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li><a href="http://arxiv.org/abs/1509.03502">
<img class="thumbnail"
src="figures/2015_iccv_oh_et_al.jpg"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://arxiv.org/abs/1509.03502">
Person recognition in personal photo collections</a>
</h3>
<p>
<a href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/seong-joon-oh/">S.
Oh</a>, R. Benenson, <a
href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/mario-fritz/">M.
Fritz</a>, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele">B.
Schiele</a>
<br>ICCV 2015
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Oh2015Iccv);"/>
<!-- <br><span class="label success">Chef's recommendation</span> -->
<pre id="Oh2015Iccv" class="invisible_bibtex">
@INPROCEEDINGS{Oh2015Iccv,
title={Person Recognition in Personal Photo Collections},
author={S. Oh and R. Benenson and M. Fritz and B. Schiele},
booktitle = {ICCV},
year={2015}}</pre>
</p>
<blockquote>
<p>We show that state of the art person recognition
in
<a href="http://www.cs.berkeley.edu/~nzhang/piper.html">social
media photos</a> can be reached using
straightforward convolutional network models.
</p>
</blockquote>
<p>Watch 1 minute <a class="btn" href="https://youtu.be/F4Jh0f3xD0g">summary video</a>.
Visit <a class="btn"
href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/person-recognition-in-personal-photo-collections/">project
page</a> for extended annotations, code, and trained
models.</p>
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li><a href="http://arxiv.org/abs/1508.02844">
<img class="thumbnail"
src="figures/2015_gcpr_pepik_et_al.jpg"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://arxiv.org/abs/1508.02844">
What is holding back convnets for detection?</a>
</h3>
<p>
<a href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bojan-pepik/">B.
Pepik</a>, R. Benenson, <a
href="http://people.mpi-inf.mpg.de/~ritschel/">T.
Ritschel</a>, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele">B.
Schiele</a>
<br>GCPR 2015
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Pepik2015Gcpr);"/>
<!-- <br><span class="label success">Chef's recommendation</span> -->
<pre id="Pepik2015Gcpr" class="invisible_bibtex">
@INPROCEEDINGS{Pepik2015Gcpr,
title = {What is Holding Back Convnets for Detection?},
author = {Pepik, Bojan and Benenson, Rodrigo and Tobias Ritschel and Schiele, Bernt}
booktitle = {German Conference on Pattern Recognition (GCPR)},
year = {2015}
}</pre>
</p>
<blockquote>
<p>We leverage the synthetic image renderings and the recent Pascal3D+ annotations to
enable a new empirical analysis
of the R-CNN detector. We aim at understanding
"what can the network learn, and what it cannot
?", and report the best known results on the
Pascal3D+ detection and viewpoint
estimation tasks.</p>
</blockquote>
<!-- <p>Visit <a class="btn" href="">project page</a> for code and trained models.</p> -->
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li>
<a href="documents/2015_tmi_bouget_et_al_detecting_surgical_tools.pdf">
<img class="thumbnail"
src="figures/2015_tmi_bouget_et_al.jpg"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="documents/2015_tmi_bouget_et_al_detecting_surgical_tools.pdf">
Detecting surgical tools by modelling local
appearance and global shape</a>
</h3>
<p>
<a href="https://www.linkedin.com/in/david-bouget-3869aa100">D.
Bouget</a>, R. Benenson, <a
href="https://www.d2.mpi-inf.mpg.de/People/mohomran">M.
Omran</a>, <a
href="https://medicis.univ-rennes1.fr/members/laurent.riffaud/index">L.
Riffaud</a>, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele">B.
Schiele</a>, <a
href="https://medicis.univ-rennes1.fr/members/pierre.jannin/index">P.
Jannin</a>
<br>TMI 2015
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Bouget2015Tmi);"/>
<pre id="Bouget2015Tmi" class="invisible_bibtex">
@ARTICLE{Bouget2015Tmi,
title = {Detecting Surgical Tools by Modelling Local Appearance and Global Shape},
journal = {IEEE Transactions on Medical Imaging (TMI)},
year = {2015},
author = {David Bouget and Rodrigo Benenson and Mohamed Omran and Laurent Riffaud and Bernt Schiele and Pierre Jannin}
}</pre>
</p>
<blockquote>
<p>We propose a new two-stage pipeline for tool
detection and pose estimation in 2d surgical
images. Compared to previous work, it overcomes
assumptions made regarding the geometry, number,
and tools positions.<br>We also release a new
surgical tools dataset made of 2476 monocular
images from neurosurgical microscopes during
in-vivo surgeries, with pixel level annotation
of the tools.</p>
</blockquote>
<p>(<em>Warning</em>: the paper contains raw surgery
images)</p>
<p>Visit <a class="btn"
href="http://dbouget.bitbucket.org/2015_tmi_surgical_tool_detection/">project
page</a> to access the dataset.</p>
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li><a href="http://arxiv.org/abs/1502.05082">
<img class="thumbnail"
src="figures/2015_pami_hosang_et_al.jpg"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://arxiv.org/abs/1502.05082">
What makes for effective detection proposals?</a>
</h3>
<p>
<a href="https://www.d2.mpi-inf.mpg.de/People/jhosang">J.
Hosang</a>, R. Benenson, <a
href="http://vision.ucsd.edu/~pdollar">P.
Dollar</a>, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele">B.
Schiele</a>
<br>PAMI 2015
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Hosang2015Pami);"/>
<!-- <br><span class="label success">Chef's recommendation</span> -->
<pre id="Hosang2015Pami" class="invisible_bibtex">
@ARTICLE{Hosang2015Pami,
author = {J. Hosang and R. Benenson and P. Dollár and B. Schiele},
title = {What makes for effective detection proposals?},
journal = {PAMI},
year = {2015}
}</pre>
</p>
<blockquote>
<p>Detection proposals allow to avoid exhaustive
sliding window search across images, while
keeping high detection quality. We provide an in
depth analysis of proposal methods regarding
recall, repeatability, and impact on DPM and
R-CNN detector performance.
Our findings show common strengths and
weaknesses of existing methods, and provide
insights and metrics for selecting and tuning
proposal methods.</p>
</blockquote>
<p>Visit <a class="btn"
href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/object-recognition-and-scene-understanding/how-good-are-detection-proposals-really/">project
page</a> for data and code downloads. This is the
extended version of our BMVC 2014 paper.</p>
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li><a href="http://arxiv.org/abs/1501.05759">
<img class="thumbnail"
src="figures/2015_cvpr_filtered_channels_for_pedestrian_detection.png"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://arxiv.org/abs/1501.05759">
Filtered channel features for pedestrian
detection</a>
</h3>
<p>
<a href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/shanshan-zhang/">S.
Zhang</a>, R. Benenson, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele/">B.
Schiele</a>
<br>CVPR 2015
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Zhang2015Cvpr);"/>
<!-- <br><span class="label success">Chef's recommendation</span> -->
<pre id="Zhang2015Cvpr" class="invisible_bibtex">
@INPROCEEDINGS{Zhang2015Cvpr,
author = {S. Zhang and R. Benenson and B. Schiele},
title = {Filtered channel features for pedestrian detection},
booktitle = {CVPR},
year = {2015}
}</pre>
</p>
<blockquote>
<p>We propose an unifying framework that covers
multiple pedestrian detectors based on decision
forests (ICF, ACF, SquareChnFtrs, LDCF,
InformedHaar). Using only HOG+colour features we
reach top performance on the Caltech-USA
benchmark (overpassing the best reported
convolutional networks results).</p>
</blockquote>
<!-- <p>Draft version <a class="paper_link"
href="http://arxiv.org/abs/1501.05759">available
at arXiv.org</a>.</p> -->
<!-- <p>Visit <a class="btn"
href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/taking-a-deeper-look-at-pedestrians/">project
page</a> to download pre-computed results, and trained models.</p> -->
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li><a href="http://arxiv.org/abs/1501.05790">
<img class="thumbnail"
src="figures/2015_cvpr_dnn_for_pedestrian_detection.png"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://arxiv.org/abs/1501.05790">
Taking a deeper look at pedestrians</a>
</h3>
<p>
<a href="https://www.d2.mpi-inf.mpg.de/People/jhosang">J.
Hosang</a>, <a
href="https://www.d2.mpi-inf.mpg.de/People/mohomran">M.
Omran</a>, R. Benenson, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele/">B.
Schiele</a>
<br>CVPR 2015
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Hosang2015Cvpr);"/>
<!-- <br><span class="label success">Chef's recommendation</span> -->
<pre id="Hosang2015Cvpr" class="invisible_bibtex">
@INPROCEEDINGS{Hosang2015Cvpr,
author = {J. Hosang and M. Omran and R. Benenson and B. Schiele},
title = {Taking a deeper look at pedestrians},
booktitle = {CVPR},
year = {2015}
}</pre>
</p>
<blockquote>
<p>We show that convolutional networks can reach
better results for pedestrian detection than
previously reported. We provide new best
reported results (on Caltech-USA) under
different training regimes (1x, 10x, and
ImageNet pre-training).</p>
</blockquote>
<!-- <p>Draft version <a class="paper_link"
href="http://arxiv.org/abs/1501.05790">available
at arXiv.org</a>.</p> -->
<p>Visit <a class="btn"
href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/taking-a-deeper-look-at-pedestrians/">project
page</a> to download pre-computed results, and trained models.</p>
</div>
</div> <!-- /row -->
<hr>
<h4 id="year2014">2014
<small>First time at BMVC</small>
</h4>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li>
<a href="http://rodrigob.github.io/documents/2014_eccvw_ten_years_of_pedestrian_detection_with_supplementary_material.pdf">
<img class="thumbnail"
src="figures/2014_eccvw_ten_years_of_pedestrian_detection.png"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://rodrigob.github.io/documents/2014_eccvw_ten_years_of_pedestrian_detection_with_supplementary_material.pdf">
Ten years of pedestrian detection, what have we
learned?</a>
</h3>
<p>R. Benenson, <a
href="https://www.d2.mpi-inf.mpg.de/People/mohomran">M.
Omran</a>, <a
href="https://www.d2.mpi-inf.mpg.de/People/jhosang">J.
Hosang</a>, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele/">B.
Schiele</a>
<br>ECCV 2014, <a
href="https://cvrsuad2014.forge.nicta.com.au/">CVRSUAD
workshop</a>
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Benenson2014Eccvw);"/>
<!-- <br><span class="label success">Chef's recommendation</span> -->
<pre id="Benenson2014Eccvw" class="invisible_bibtex">
@INPROCEEDINGS{Benenson2014Eccvw,
author = {R. Benenson and M. Omran and J. Hosang and B. Schiele},
title = {Ten years of pedestrian detection, what have we learned?},
booktitle = {ECCV, CVRSUAD workshop},
year = {2014}
}</pre>
</p>
<blockquote>
<p>We review and discuss the 40+ detectors currently
present in the Caltech pedestrian detection
benchmark.
We identify the strategies that have paid-off,
and the ones that still have to show their
promise.
<br>By combining existing approaches we study
their complementarity and report the current
best known performance on the challenging
Caltech-USA dataset.
</p>
</blockquote>
<p><a class="paper_link"
href="http://rodrigob.github.io/documents/2014_eccvw_ten_years_of_pedestrian_detection_talk.pdf">Presentation
slides</a>.
<a class="paper_link"
href="http://rodrigob.github.io/documents/2014_eccvw_ten_years_of_pedestrian_detection_poster.pdf">Presented
poster</a>.
<!-- <p>Download <a class="paper_link" href="http://rodrigob.github.io/documents/2012_06_cvpr_talk.pdf">presentation slides</a>. Watch <a class="" href="http://techtalks.tv/talks/pedestrian-detection-at-100-frames-per-second/56381/">CVPR talk</a>.</p> -->
<!-- <p>Watch <a class="btn" href="http://youtu.be/htLRKbVaSDw">example result video</a>.</p> -->
<!-- <p><a href="https://bitbucket.org/rodrigob/doppia" class="source_code_link">Source code available</a>, with a research only license.</p> -->
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li>
<a href="http://rodrigob.github.io/documents/2014_bmvc_selective_search_with_supplementary_material.pdf">
<img class="thumbnail"
src="figures/2014_bmvc_selective_search_teaser.jpg"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://rodrigob.github.io/documents/2014_bmvc_selective_search_with_supplementary_material.pdf">
How good are detection proposals, really?</a>
</h3>
<p>
<a href="https://www.d2.mpi-inf.mpg.de/People/jhosang">J.
Hosang</a>, R. Benenson, <a
href="http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/bernt-schiele/">B.
Schiele</a>
<br>Oral at BMVC 2014, 7% acceptance rate
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Hosang2014Bmvc);"/>
<!-- <br><span class="label success">Chef's recommendation</span> -->
<pre id="Hosang2014Bmvc" class="invisible_bibtex">
@INPROCEEDINGS{Hosang2014Bmvc,
author = {J. Hosang and R. Benenson and B. Schiele},
title = {How good are detection proposals, really?},
booktitle = {BMVC},
year = {2014}
}</pre>
</p>
<blockquote>
<p>Detection proposals allow to avoiding exhaustive
sliding window search across images, while
keeping high detection quality.
<!-- Despite the popularity of detection proposals, it is unclear which trade-offs are made when using them during object detection. -->
We provide an in depth analysis of proposal
methods regarding recall, repeatability, and
impact on DPM detector performance.
<br>Our findings show common weaknesses of
existing methods, and provide insights to choose
the most adequate method for different settings.
</p>
</blockquote>
<p>Visit <a class="btn"
href="https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/object-recognition-and-scene-understanding/how-good-are-detection-proposals-really/">project
page</a> for more information.</p>
<p>See also updated and extended PAMI journal version <a
class="paper_link"
href="http://arxiv.org/abs/1502.05082">available
at arXiv.org</a>.</p>
<!-- <p>Download <a class="paper_link" href="http://rodrigob.github.io/documents/2012_06_cvpr_talk.pdf">presentation slides</a>. Watch <a class="" href="http://techtalks.tv/talks/pedestrian-detection-at-100-frames-per-second/56381/">CVPR talk</a>.</p> -->
<!-- <p>Watch <a class="btn" href="http://youtu.be/htLRKbVaSDw">example result video</a>.</p> -->
<!-- <p><a href="https://bitbucket.org/rodrigob/doppia" class="source_code_link">Source code available</a>, with a research only license.</p> -->
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li>
<a href="http://rodrigob.github.io/documents/2014_eccv_face_detection_with_supplementary_material.pdf">
<img class="thumbnail"
src="figures/2014_eccv_face_detection_example.png"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://rodrigob.github.io/documents/2014_eccv_face_detection_with_supplementary_material.pdf">
Face detection without bells and whistles</a></h3>
<p><a href="http://homes.esat.kuleuven.be/~mmathias/">M.
Mathias</a>, R. Benenson, <a
href="http://homes.esat.kuleuven.be/~mpederso/">M.
Pedersoli</a>, L. Van Gool
<br>Oral at ECCV 2014, 2.8% acceptance rate
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Mathias2014Eccv);"/>
<br><span class="label success">Chef's recommendation</span>
<pre id="Mathias2014Eccv" class="invisible_bibtex">
@INPROCEEDINGS{Mathias2014Eccv,
author = {M. Mathias and R. Benenson and M. Pedersoli and L. {Van Gool}},
title = {Face detection without bells and whistles},
booktitle = {ECCV},
year = {2014}
}</pre>
</p>
<blockquote>
<p>We present two surprising new face detection
results:
one using a vanilla deformable part model, and
the other using only rigid templates (similar to
Viola&Jones' detector).
<br>Both of these reach top performance,
improving over commercial and research systems.
<br>We also discuss issues with existing
evaluation benchmarks and propose an improved
evaluation procedure.
</p>
</blockquote>
<p>Watch example <a class="btn"
href="http://youtu.be/VyFj7Wtkr9I?list=PLcD_yLvcdUlmQx0P95ijBucBXmRbmN1_U">result
video A</a>, or <a class="btn"
href="http://youtu.be/yQ5TQ4f-m8k?list=PLcD_yLvcdUlmQx0P95ijBucBXmRbmN1_U">result
video B</a>.</p>
<!-- <p><a href="https://bitbucket.org/rodrigob/doppia" class="source_code_link">Source code available</a>, with a research only license.</p> -->
<p>Download <a class="paper_link"
href="http://videolectures.net/site/normal_dl/tag=921100/eccv2014_mathias_face_detection_01.pdf">presentation
slides</a>. Watch <a class=""
href="http://videolectures.net/eccv2014_mathias_face_detection/">ECCV
talk</a>.</p>
<p>Visit <a class="btn"
href="http://markusmathias.bitbucket.org/2014_eccv_face_detection/">project
page</a> for more information (evaluation code and
trained models).</p>
</div>
</div> <!-- /row -->
<hr>
<h4 id="year2013">2013
<small>Listed as CVPR 2013 outstanding reviewer</small>
</h4>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li>
<a href="http://rodrigob.github.io/documents/2013_iccv_occlusions_with_supplementary_material.pdf">
<img class="thumbnail"
src="figures/2013_iccv_franken_example_result.png"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://rodrigob.github.io/documents/2013_iccv_occlusions_with_supplementary_material.pdf">Handling
occlusions with franken-classifiers</a></h3>
<p><a href="http://homes.esat.kuleuven.be/~mmathias/">M.
Mathias</a>, R. Benenson, <a
href="http://homes.esat.kuleuven.be/~rtimofte">R.
Timofte</a>, L. Van Gool
<br>ICCV 2013
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Mathias2013Iccv);"/>
<br>
<pre id="Mathias2013Iccv" class="invisible_bibtex">
@INPROCEEDINGS{Mathias2013Iccv,
author = {M. Mathias and R. Benenson and R. Timofte and L. {Van Gool}},
title = {Handling Occlusions with Franken-classifiers},
booktitle = {ICCV},
year = {2013}
}</pre>
</p>
<blockquote>
<p>Detecting partially occluded pedestrians is
challenging.
<br>Here we study why our classifier performs
poorly under occlusion and we show that using a
set of occlusion specific classifiers can
significantly improve detection quality.
Our proposed franken-classifiers obtain
sub-linear grows in training and testing time,
while keeping high detection quality.
</p>
</blockquote>
<p>The <a class="paper_link"
href="http://rodrigob.github.io/documents/2013_iccv_occlusions_poster.pdf">presented
poster</a>.</p>
</div>
</div> <!-- /row -->
<hr>
<div class="row">
<div class="span4">
<ul class="media-grid">
<li>
<a href="http://rodrigob.github.io/documents/2013_cvpr_roerei_with_supplementary_material.pdf">
<img class="thumbnail"
src="figures/2013_cvpr_irregular_cells.png"
alt=""/></a></li>
</ul>
</div>
<div class="span12">
<h3><a class="paper_link"
href="http://rodrigob.github.io/documents/2013_cvpr_roerei_with_supplementary_material.pdf">Seeking
the strongest rigid detector</a></h3>
<p>R. Benenson*, <a
href="http://homes.esat.kuleuven.be/~mmathias/">M.
Mathias</a>*, <a
href="http://homes.esat.kuleuven.be/~tuytelaa">T.
Tuytelaars</a>, L. Van Gool
<small style="color: rgb(64, 64, 64);">(* indicates
equal contribution.)
</small>
<br>CVPR 2013
<img class="bibtex_link" src="figures/bibtex.png"
onclick="javascript:toggle(Benenson2013Cvpr);"/>
<br><span class="label success">Chef's recommendation</span>
<pre id="Benenson2013Cvpr" class="invisible_bibtex">
@INPROCEEDINGS{Benenson2013Cvpr,
author = {R. Benenson and M. Mathias and T. Tuytelaars and L. {Van Gool}},
title = {Seeking the strongest rigid detector},
booktitle = {CVPR},
year = {2013}
}</pre>
</p>
<blockquote>
<p>Previous work to boost detection quality explored
using non-linear SVMs,
more sophisticated features, geometric priors,
motion information, deformable models, or deeper
architectures. We use none of these.