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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<head>
<meta name="keywords" content="hands,ICCV 2023,workshop,pose estimation">
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<meta name="generator" content="jemdoc, see http://jemdoc.jaboc.net/" />
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<title>HANDS Workshop</title>
</head>
<body>
<div id="main-container">
<div id="header-container">
<div id="header">
<div id="header-icon-text-container">
<div id="header-text-container">
<nav class="style1">
<ul id="outer_list">
<li id="outer_li_year"><a id="current_year" href="#">2022<span id="arrow"></span></a>
<ul id="top_list">
<li id="style2"><a id="style3" href="workshop2024.html">2024</a></li>
<li id="style2"><a id="style3" href="workshop2023.html">2023</a></li>
<li id="style2"><a id="style3" href="workshop2022.html">2022</a></li>
<li id="style2"><a id="style3" href="https://sites.google.com/view/hands2019/home">2019</a>
<li id="style2"><a id="style3" href="https://sites.google.com/view/hands2018">2018</a>
<li id="style2"><a id="style3" href="">2017</a>
<li id="style2"><a id="style3" href="https://labicvl.github.io/hand/Hands2016/#home">2016</a>
<li id="style2"><a id="style3" href="">2015</a>
<!-- <li id="style2"><a id="style3" href="workshop2022">2022</a></li> -->
</ul>
</li>
<li id="outer_li"><a id="workshop_link" href="#">Workshop</a>
</li>
<li id="outer_li"><a id="challenge_link" href="#">Challenge</a>
</li>
</ul>
</nav>
</div>
</div>
</div>
<div id="layout-content">
<div id="text-img-container">
<div id="img-container">
<a href="https://hands-workshop.org/"><img width="100%" alt="HANDS" src="logos/hands.png"></a>
</div>
<div id="text-container"></div>
</div>
<p>
<div id="beamer">
<beam>
Observing and Understanding <b>Hands</b> in Action
</beam></br>
<beams>
in conjunction with ECCV 2022</br>
</beams>
</div>
<br>
<div id="menu-container">
<div id="menu-item"><a id="style6" href="#overview">Overview</a></div>
<div id="menu-item"><a id="style6" href="#schedule">Schedule</a></div>
<div id="menu-item"><a id="style6" href="#papers">Papers</a></div>
<div id="menu-item"><a id="style6" href="#speakers">Speakers</a></div>
<div id="menu-item"><a id="style6" href="#organizers">Organizers</a></div>
<!-- <div id="menu-item"><a id="style6" href="#chal-committee">Chal-committee</a></div> -->
<div id="menu-item"><a id="style6" href="#sponsors">Sponsors</a></div>
<div id="menu-item"><a id="style6" href="#contact">Contact</a></div>
</div>
<br>
<br>
<p style="align-items: center;text-align: center; font-size:20px;">
<b>This page is a rebuild of the original page, which can be found <a target="_blank"
href="https://sites.google.com/view/hands2022/home">here</a></b><br>
</p>
<h1 id="overview">Overview </h1>
<font size="5">
Welcome to join our ECCV 2022 Workshop!
</font>
</br>
</br>
<p>
The sixth edition of this ECCV2022 workshop aims at gathering researchers who work on 2D/3D hand detection,
segmentation, pose estimation, and tracking problems and its applications. This edition will emphasize
<b>reduced ground
truth labels</b> and focus on topics such as <b>semi-supervised or self-supervised learning for training
hand pose estimation
systems</b>. Development of RGB-D sensors and camera miniaturization (wearable cameras, smart phones,
ubiquitous computing)
have opened the door to a whole new range of technologies and applications which require detecting hands and
recognizing
hand poses in a variety of scenarios, including AR/VR, assisted car driving, robot grasping, and health care.
However,
labelling accurate real-world hand poses is still non-trivial. Most existing hand pose methods fail to
generalize well
to the real world scenarios, especially when considering <b>hand-object or hand-hand interaction
scenarios</b>. As new
multiview video benchmarks have been proposed for the hand-object or hand-hand interaction, our goal is to
encourage
semi-/self-supervised learning for hand poses to utilize spatial-temporal information and reduce reliance on
annotations. We will also cover up a “breadth of application” including sign language recognition, desktop
interaction,
egocentric views, object manipulations, far range and over-the-shoulder driver footage. The relevant topics
include:
</p>
<h2>Topics</h2>
We will cover all hand-related topics. The relevant topics include and not limited to:
<ul id="topicstyle1">
<li id="topicstyle2">2D/3D hand pose estimation</li>
<li id="topicstyle2">Semi-/self-/weakly-supervised pose estimation </li>
<li id="topicstyle2">Hand-object/hand interaction</li>
<li id="topicstyle2">Robot grasping and object manipulation</li>
<li id="topicstyle2">Imitation learning, reinforcement learning</li>
<li id="topicstyle2">Hand detection/segmentation</li>
<li id="topicstyle2">Gesture recognition/interfaces</li>
<li id="topicstyle2">3D articulated hand tracking</li>
<li id="topicstyle2">Hand modelling and rendering</li>
<li id="topicstyle2">Hand activity recognition</li>
<li id="topicstyle2">Egocentric vision systems</li>
<li id="topicstyle2">Structured prediction, regression, and other relevant theories/algorithms</li>
<li id="topicstyle2">Applications of hand pose estimation in AR/VR/robotics/haptics</li>
<li id="topicstyle2">Driver hand activity analysis</li>
</ul>
<h1 id="schedule">Schedule(Israel Time)</h1>
<p style="align-items: center;text-align: center;"><b>Sunday afternoon (2:00 pm - 6:00 pm), Oct. 23.
2022</b></br>
<b>Grand Ballroom E, David
Intercontinental, Tel Aviv</b></br>
</p>
<table class="dataintable">
<tbody>
<tr>
<td><b>14:20 - 14:30</b></td>
<td>Introduction/opening remarks</td>
</tr>
<tr>
<td><b>14:30 - 15:00</b></td>
<td> Invited Talk: Robert Wang</td>
</tr>
<tr>
<td></td>
<td> <b>Title:</b> Hands for AR/VR
</td>
</tr>
<tr>
<td><b>15:00 - 15:30</b></td>
<td> Invited Talk: Hyung Jin Chang </td>
</tr>
<tr>
<td></td>
<td> <b>Title:</b> Understanding Hand-Object Interactions in 3D with Graph-based Network
</td>
</tr>
<tr>
<td> <b>15:30 - 15:34</b></td>
<td> Challenge results</td>
</tr>
<tr>
<td> <b>15:34 - 15:42</b></td>
<td> Technical report: Cunlin Wu</td>
</tr>
<tr>
<td></td>
<td> <b>Title:</b> How to lift multi-view 2D hand pose to 3D counterpart? A closed form solution
</td>
</tr>
<tr>
<td><b>15:42 - 15:50</b></td>
<td> Technical report: Xiaozheng Zheng </td>
</tr>
<tr>
<td></td>
<td> <b>Title:</b> Multiview-Consistent Self-Supervised Learning for Hand Pose Reconstruction
</td>
</tr>
<tr>
<td><b>15:50 - 16:50</b></td>
<td> Coffee break & Paper (poster) presentations </td>
</tr>
<tr>
<td><b>16:50 - 17:20</b></td>
<td> Invited speaker: Yu-Wei Chao </td>
</tr>
<tr>
<td></td>
<td> <b>Title:</b> Human-Robot Handover: From Real to Sim</br>
</td>
</tr>
<tr>
<td><b>17:20 - 17:50</b></td>
<td> Invited speaker: Dimitrios Tzionas </td>
</tr>
<tr>
<td></td>
<td> <b>Title:</b> Towards Human Avatars in Interaction with Objects</br>
</td>
</tr>
<tr>
<td> <b>17:50 - 18:00</b></td>
<td> Conclusion & prizes</td>
</tr>
</tbody>
</table>
<h1 id="papers">Accepted Papers & Extended Abstracts</h1>
<!-- list papers in the form of:
OakInk2 : A Dataset for Long-Horizon Hand-Object Interaction and Complex Manipulation Task Completion.
Xinyu Zhan*, Lixin Yang*, Kangrui Mao, Hanlin Xu, Yifei Zhao, Zenan Lin, Kailin Li, Cewu Lu.
[pdf] -->
<p>We are delighted to announce the following accepted papers and extended abstracts will appear in the
workshop! All Extended abstracts and invited posters should prepare posters for communication during the
workshop.</p> </br>
<p> <b>Poster size: the posters should be portrait (vertical), with a maximum size of 90x180 cm.</b></p>
<!-- <ul> -->
<h2>Accepted Extended Abstracts</h2>
<ul>
<li> Background Mixup Data Augmentation for Hand and Object-in-Contact Detection. <br>
<i> Koya Tango, Takehiko Ohkawa, Ryosuke Furuta, Yoichi Sato.</i> <br>
<!-- [pdf] -->
</li>
<a href="https://drive.google.com/file/d/1KBq2VZvg8hONQpHchA688O4bg5SXPnJl/view?usp=sharing">[pdf]</a>
<a href="https://drive.google.com/file/d/1tMYJm5AZhOJOKk0BMiWP0JrTeBPDmZ8k/view?usp=sharing">[supp]</a>
</ul>
<ul>
<li> Scalable High-fidelity 3D Hand Shape Reconstruction via Graph Frequency Decomposition.<br>
<i> Tianyu Luan, Jingjing Meng, Junsong Yuan.</i> <br>
<!-- [pdf] -->
<a href="https://drive.google.com/file/d/1JExKfdkt4NaJ7PHS-5Pg1LbXuYyEJd08/view?usp=sharing">[pdf]</a>
</li>
</ul>
<ul>
<li> MC-hands-1M: A glove-wearing hand dataset for pose estimation. <br>
<i> Prodromos Boutis, Zisis Batzos, Konstantinos Konstantoudakis, Anastasios Dimou, Petros Daras.</i> <br>
<!-- [pdf] -->
<a href="https://drive.google.com/file/d/15-DVcH8ONeqjZJqq0TwF8l2UpZD0cGka/view?usp=sharing">[pdf]</a>
<a
href="https://www.google.com/url?q=https%3A%2F%2Farxiv.org%2Fabs%2F2210.10428&sa=D&sntz=1&usg=AOvVaw2jSnqjcsXb4L_wEgKjb0Bh">[arxiv]</a>
</li>
</ul>
<ul>
<li> Controllable Human Grasp Generation. <br>
<i> Lan Feng, Sammy Christen, Jie Song.</i> <br>
<!-- [pdf] -->
<a href="https://drive.google.com/file/d/1DHFcEgn2VDMKjzZaUS4BOGzlbENLMnNi/view?usp=sharing">[pdf]</a>
<a href="https://drive.google.com/file/d/1d7kLnhF__pOAM2G0u7Te0Q7pHAdnVWlv/view?usp=sharing">[poster]</a>
</li>
</ul>
<h2>Technical Reports</h2>
<ul>
<li> Multiview-Consistent Self-Supervised Learning for Hand Pose Reconstruction. <br>
<i> Xiaozheng Zheng, Chao Wen, Zhou Xue. </i> <br>
<!-- [pdf] -->
<a href="https://drive.google.com/file/d/1Iq-cIqY16EBMyWmmpnj4qPsZB8sFqu75/view?usp=sharing">[pdf]</a>
</li>
</ul>
<ul>
<li> How to Lift Multi-View 2D Hand Pose to 3D Counterpart: A Closed Form Solution. <br>
<i> Cunlin Wu, Yang Xiao, Changlong Jiang, Jinghong Zheng, Zhiguo Cao, Zhiwen Fang, Joey Tianyi Zhou, and
Junsong Yuan. </i> <br>
<!-- [pdf] -->
<a href="https://drive.google.com/file/d/1kgXx6b278YcardcZhnSnU9j2SJVOKAMf/view?usp=sharing">[pdf]</a>
</li>
</ul>
<h2>Invited Posters</h2>
<ul>
<li> S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised
Learning. <br>
<i> Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang.</i> <br>
<!-- [pdf] -->
</li>
</ul>
<ul>
<li> AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction. <br>
<i> Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev.</i> <br>
<!-- [pdf] -->
</li>
</ul>
<ul>
<li> Domain Adaptive Hand Keypoint and Pixel Localization in the Wild. <br>
<i> Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato.</i> <br>
<!-- [pdf] -->
</li>
</ul>
<ul>
<li> PressureVision: Estimating Hand Pressure from a Single RGB Image.<br>
<i> Patrick Grady, Chengcheng Tang, Samarth Brahmbhatt, Christopher D. Twigg, Chengde Wan, James Hays,
Charles C. Kemp. </i> <br>
<!-- [pdf] -->
</li>
</ul>
<ul>
<li> Generative Adversarial Network for Future Hand Segmentation from Egocentric Video. <br>
<i> Wenqi Jia, Miao Liu, James M. Rehg.</i> <br>
<!-- [pdf] -->
</li>
</ul>
<ul>
<li> TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only
One Labeled Instance. <br>
<i> Hongtao Wen*, Jianhang Yan*, Wanli Peng, Yi Sun.</i> <br>
<!-- [pdf] -->
<a
href="https://www.google.com/url?q=https%3A%2F%2Fgithub.com%2Fyanjh97%2FTransGrasp%2Freleases%2Fdownload%2Fvideo-poster%2F4338-poster.pdf&sa=D&sntz=1&usg=AOvVaw1ggcVISkZKwaxqxzV3P8uy">[poster]</a>
<a href="https://youtu.be/gIftKDTnEW0">[video]</a>
</li>
</ul>
<h1 id="speakers">Invited Speakers</h1>
<div id="member-container" style="display:grid">
<div id="member" style="display:flex;width:100%;">
<img src="./profiles/2022/Prof.Dr.HyungJinChang.jpg" style="align-self:center;width:150px;height: 150px;">
<div style="text-align:left;margin-left:10px;margin-top:20px">
<b><a href="https://hyungjinchang.wordpress.com">Prof. Dr. Hyung Jin Chang</a></b>
is an Associate Professor of the School of Computer Science at the University of Birmingham and a Turing
Fellow of the
Alan Turing Institute. His research interests are focused on human-centred visual learning, especially in
application to
human-robot interaction. Computer vision and machine learning including deep learning are his expertise
research area.
</div>
</div>
<div id="member" style="display:flex;width:100%;">
<img src="./profiles/2022/Dr.Yu-Wei Chao.jpg" style="align-self:center;width:150px;height: 150px;">
<div style="text-align:left;margin-left:10px;margin-top:20px">
<b><a href="https://research.nvidia.com/person/yu-wei-chao">Dr. Yu-Wei Chao</a></b>
is a Senior Research Scientist at NVIDIA Seattle Robotics Lab. His research lies in the intersection of
computer vision,
machine learning, robotics, and simulation. His recent work focuses on human-robot interaction and robot
learning from
human in the context of object manipulation.
</div>
</div>
<div id="member" style="display:flex;width:100%;">
<img src="./profiles/2022/Prof.Dimitrios Tzionas.jpg" style="align-self:center;width:150px;height: 150px;">
<div style="text-align:left;margin-left:10px;margin-top:20px">
<b><a
href="https://www.google.com/url?q=https%3A%2F%2Fimagine.enpc.fr%2F~varolg%2F&sa=D&sntz=1&usg=AOvVaw1J_f2NUrzLXoeDChSnjSBt">Prof.
Dr. Dimitrios Tzionas</a></b>
is an Assistant Professor at the University of Amsterdam. Earlier he was a
Research
Scientist at the Perceiving Systems (PS) department, at MPI for Intelligent Systems in Tübingen. His goal
is to develop
human-centered AI that perceives humans, understands their behavior and helps them to achieve their goals.
Potential
applications include Augmented/Virtual Reality (AR/VR), Human-Computer Interaction (HCI), and Human-Robot
Interaction
(HRI).
</div>
</div>
<div id="member" style="display:flex;width:100%;">
<img src="./profiles/2022/Dr.Robert Wang.jpg" style="align-self:center;width:150px;height: 150px;">
<div style="text-align:left;margin-left:10px;margin-top:20px">
<b><a
href="https://www.google.com/url?q=https%3A%2F%2Fhughw19.github.io&sa=D&sntz=1&usg=AOvVaw29aiBNPiw_IvGn33FEYohs">Dr.
Robert Wang</a></b>
supports a computer vision and machine perception team at Facebook Reality Labs / Oculus developing and
shipping
egocentric hand-tracking, body-tacking and and human understanding technology for augmented reality and
virtual reality.
Prior to that he had co-founded a small company, Nimble VR (acquired by Facebook) that built skeletal
hand-tracking
software.
</div>
</div>
</div>
<h1 id="organizers">Organizers</h1>
<li id="topicstyle2">Prof. Antonis Argyros (FORTH)</li>
<li id="topicstyle2">Dr. Anil Armagan (Huawei)</li>
<li id="topicstyle2">Dr. Guillermo Garcia-Hernando (Niantic)</li>
<li id="topicstyle2">Prof. Otmar Hilliges (ETHZ)</li>
<li id="topicstyle2">Prof. Tae-Kyun Kim (KAIST and Imperial College London)</li>
<li id="topicstyle2">Prof. Vincent Lepetit (ENPC ParisTech and TU Graz)</li>
<li id="topicstyle2">Dr. Iason Oikonomidis (FORTH)</li>
<li id="topicstyle2">Prof. Angela Yao (NUS)</li>
<h1 id="chal-committee">Challenge Committee</h1>
<li id="topicstyle2">Mr. Sammy Christen (ETH Zürich)</li>
<li id="topicstyle2">Mr. Shreyas Hampali (Graz University of Technology)</li>
<li id="topicstyle2">Mr. Linlin Yang (Uni Bonn and NUS)</li>
<h1 id="sponsors">Sponsors</h1>
<div class="sponsors-container">
<img class="sponsor-img" src="./profiles/2022/sponsor1.png">
</div>
<h1 id="contact">Contact</h1>
<p>[email protected]</p>
<div id="footer">
<p style="align-items: center;text-align: center;">
<a href="https://youtube.com/@handsworkshop" target="_Blank">
<img id="page1" alt="" src="./profiles/youtube.jpg">
</a>
<a href="https://github.com/handsworkshop" target="_Blank">
<img id="page" alt="" src="./profiles/github.png">
</a>
</p>
</div>
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var newHref = 'workshop' + year + '.html';
// 跳转到新的页面
window.location.href = newHref;
}
});
document.getElementById('workshop_link').addEventListener('click', function (event) {
event.preventDefault(); // 阻止默认链接行为
if (!isYearUpdated) {
var year = document.querySelector('#outer_list > li:first-child > a').textContent.trim();
var newHref = 'workshop' + year + '.html';
window.location.href = newHref;
}
});
document.getElementById('challenge_link').addEventListener('click', function (event) {
event.preventDefault(); // 阻止默认链接行为
if (!isYearUpdated) {
var year = document.querySelector('#outer_list > li:first-child > a').textContent.trim();
var newHref = 'challenge' + year + '.html';
window.location.href = newHref;
}
});
// 获取所有带有id="style3"的a标签
var yearLinks = document.querySelectorAll('#style3');
yearLinks.forEach(function (link) {
link.addEventListener('click', function (event) {
// 获取点击的年份
var selectedYear = this.textContent.trim();
if (selectedYear < '2020') {
isYearUpdated = true;
document.getElementById('current_year').textContent = selectedYear;
// 设置标志为已更新年份
window.location.href = link.href; // 确保使用 href 进行跳转
} else {
event.preventDefault(); // 阻止默认链接行为
document.getElementById('current_year').textContent = selectedYear;
// 设置标志为已更新年份
isYearUpdated = true;
// 关闭下拉菜单（如果需要）
// document.getElementById('top_list').style.display = 'none';
// 可选：添加其他逻辑
}
});
});
var workshopLi = document.querySelector('#workshop_link');
workshopLi.classList.add('highlight');
</script>
</body>
</html>