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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="description" content="Mask3D">
<meta name="keywords" content="OpenSun3D">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Open☀️3D </title>
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padding: 5px 15px 5px 15px;
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</style>
</head>
<body>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">☀️ OpenSUN 3D 🌍<br />
<p class="title is-3 publication-title">1<sup>st</sup> Workshop on Open-Vocabulary 3D Scene Understanding
</p>
</h1>
<h1 class="is-is-5" style="color: #5c5c5c;">in conjunction with ICCV 2023, Paris, France.</h1>
<b>Room E06 - Oct. 3rd Tuesday Afternoon</b>
<br>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<h2 class="subtitle has-text-centered">
<a href="#schedule" class="button">Schedule</a>
<a href="#speakers" class="button">Speakers</a>
<a href="#relatedwork" class="button">Related Work</a>
<a href="#dates" class="button">Dates</a>
<a href="#accepted" class="button">Papers</a>
<a href="#challengeresults" class="button">Challenge</a>
<a href="#organizers" class="button">Organizers</a>
<div class="dropdown">
<span class="button"><i class="fa fa-bars"></i></span>
<div class="dropdown-content">
<a href="index.html">ECCV 2024</a>
<a href="index_cvpr24.html">CVPR 2024</a>
<a href="index_iccv23.html">ICCV 2023</a>
</div>
</h2>
</div>
</div>
</section>
<section class="section" id="Motivation">
<div class="container is-max-desktop content">
<h2 class="title">Motivation 💡</h2>
<div class="content has-text-justified">
The ability to perceive, understand and interact with arbitrary 3D environments is a long-standing goal in
both academia and industry with applications in AR/VR as well as robotics.
Current 3D scene understanding models are largely limited to recognizing a closed set of pre-defined object
classes.
Recently, large visual-language models, such as CLIP, have demonstrated impressive capabilities trained
solely on internet-scale image-language pairs.
Some initial works have shown that these models have the potential to extend 3D scene understanding not only
to open set recognition, but also offer additional applications such as affordances, materials, activities,
and properties of unseen environments.
The goal of this workshop is to bundle these initial siloed efforts and to discuss and establish clear task
definitions, evaluation metrics, and benchmark datasets.
</div>
</div>
</section>
<section class="section" style="margin-top: -50px">
<div class="container is-max-desktop">
<section class="section" id="Schedule">
<div class="container is-max-desktop content">
<h2 class="title">Schedule ⏰</h2>
<div class="content has-text-justified">
<table class="table table-striped">
<tr>
<td width="130">13:20 - 13:30</td>
<td width="300" style="background-color:#e4ffc2">Welcome & Introduction</td>
<td></td>
</tr>
<tr>
<td>13:30 - 14:00</td>
<td style="background-color:#cae1ff">Keynote: <b>Jen Jen Chung</b></td>
<td><!--Getting Robots to Touch Things Appropriately--></td>
</tr>
<tr>
<td>14:00 - 14:30</td>
<td style="background-color:#cae1ff">Keynote: <b>Vishal Patel</b></td>
<td><!--CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition--></td>
</tr>
<tr>
<td>14:30 - 14:45</td>
<td style="background-color:#ffe0c6">Oral Sessions / Challenge Winners</td>
<td></td>
</tr>
<tr>
<td>14:45 - 15:15</td>
<td style="background-color:#cae1ff">Keynote: <b>Thomas Funkhouser</b></td>
<td></td>
</tr>
<tr>
<td>15:15 - 16:00</td>
<td style="background-color:#ffe0c6">Poster Session & Coffee Break</td>
<td></td>
</tr>
<tr>
<td>16:00 - 16:30</td>
<td style="background-color:#cae1ff">Keynote: <b>Angela Dai</b></td>
<td></td>
</tr>
<tr>
<td>16:30 - 17:00</td>
<td style="background-color:#cae1ff">Keynote: <b>Manolis Savva</b></td>
<td><!--3D Simulation for Embodied AI: Emerging Challenges and Opportunities--></td>
</tr>
<tr>
<td>17:00 - 17:30</td>
<td style="background-color:#e4ffc2">Panel Discussion</td>
<td></td>
</tr>
</table>
</div>
</div>
</section>
<section class="section" id="Invited Speakers">
<div class="container is-max-desktop content">
<h2 class="title" id="speakers">Invited Speakers 🧑🏫</h2>
<!-- <a href="https://www.cs.columbia.edu/~shurans/">
<div class="card">
<div class="card-content">
<div class="columns is-vcentered">
<div class="column is-one-quarter">
<figure class="image is-128x128">
<img class="is-rounded" src="./static/img/shuran_song.jpg" alt="Placeholder image">
</figure>
</div>
<div class="column">
<p class="title is-4">Professor Shuran Song</p>
<p class="subtitle is-6">Columbia Artificial Intelligence and Robotics (CAIR) Lab</p>
</div>
</div>
<div class="content">
Shuran Song is an assistant professor at the Department of Computer Science at Columbia University,
where she directs the Columbia Artificial Intelligence and Robotics (CAIR) Lab.
Her research focuses on computer vision and robotics.
She is interested in developing algorithms that enable intelligent systems to learn from their
interactions with the physical world, and autonomously acquire the perception and manipulation skills
necessary to execute complex tasks and assist people.
</div>
</div>
</div>
</a>
-->
<a href="https://engineering.jhu.edu/vpatel36/">
<div class="card">
<div class="card-content">
<div class="columns is-vcentered">
<div class="column is-one-quarter">
<figure class="image is-128x128">
<img class="is-rounded" src="./static/img/vishal.jpeg" alt="Placeholder image">
</figure>
</div>
<div class="column">
<p class="title is-4">Professor Vishal Patel</p>
<p class="subtitle is-6">Johns Hopkins University</p>
</div>
</div>
<div class="content">
Vishal M. Patel is an associate professor of electrical and computer engineering and a member of
the Vision and Image Understanding Lab. His research interests are focused on computer vision,
machine learning, image processing, medical image analysis, and biometrics.
Patel is an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence
journal and chairs the conference subcommittee of IAPR Technical Committee on Biometrics (TC4).
He has received a number of awards including the 2021 IEEE Signal Processing Society (SPS)
Pierre-Simon Laplace Early Career Technical Achievement Award, the 2021 NSF CAREER Award, the 2021
IAPR Young Biometrics Investigator Award (YBIA), the 2016 ONR Young Investigator Award, and the
2016 Jimmy Lin Award for Invention.
</div>
</div>
</div>
</a>
<br />
<a href="https://www.professoren.tum.de/en/dai-angela">
<div class="card">
<div class="card-content">
<div class="columns is-vcentered">
<div class="column is-one-quarter">
<figure class="image is-128x128">
<img class="is-rounded" src="./static/img/angela.jpg" alt="Placeholder image">
</figure>
</div>
<div class="column">
<p class="title is-4">Professor Angela Dai</p>
<p class="subtitle is-6">Technical University of Munich</p>
</div>
</div>
<div class="content">
Angela Dai is an assistant professor at the Technical University of Munich (TUM) where she leads
the
3D AI Lab.
Her research focuses on understanding how the 3D world around us can be modeled and semantically
understood.
Prof. Dai is the creator of the seminal ScanNet benchmark that sparked the development of numerous
3D
scene understanding works.
</div>
</div>
</div>
</a>
<br />
<a href="https://www.sfu.ca/computing/people/faculty/manolissavva.html">
<div class="card">
<div class="card-content">
<div class="columns is-vcentered">
<div class="column is-one-quarter">
<figure class="image is-128x128">
<img class="is-rounded" src="./static/img/manolis.jpg" alt="Placeholder image">
</figure>
</div>
<div class="column">
<p class="title is-4">Professor Manolis Savva</p>
<p class="subtitle is-6">Simon Fraser University</p>
</div>
</div>
<div class="content">
Manolis Savva is an assistant professor in the School of Computing Science at Simon Fraser
University,
and a Canada Research Chair in Computer Graphics.
His research focuses on analysis, organization and generation of 3D content.
The methods that he works on are stepping stones towards holistic 3D scene understanding revolving
around people,
with applications in computer graphics, computer vision, and robotics.
Prof. Savva contributed highly influential works towards embodied AI including
Matterport and Habitat.
</div>
</div>
</div>
</a>
<br />
<a href="https://www.cs.princeton.edu/~funk/">
<div class="card">
<div class="card-content">
<div class="columns is-vcentered">
<div class="column is-one-quarter">
<figure class="image is-128x128">
<img class="is-rounded" src="./static/img/thomas.jpg" alt="Placeholder image">
</figure>
</div>
<div class="column">
<p class="title is-4">Professor Thomas Funkhouser</p>
<p class="subtitle is-6">Google / Princeton University</p>
</div>
</div>
<div class="content">
Thomas Funkhouser is a full professor at Princeton University and a senior research scientist at
Google.
His research focuses on computer graphics, computer vision, and in particular 3D machine
perception.
In recent years, Professor Funkhouser has greatly impacted the field of 3D scene understanding.
</div>
</div>
</div>
</a>
<br />
<a href="https://itee.uq.edu.au/profile/8084/jen-jen-chung">
<div class="card">
<div class="card-content">
<div class="columns is-vcentered">
<div class="column is-one-quarter">
<figure class="image is-128x128">
<img class="is-rounded" src="./static/img/jenjen.jpeg" alt="Placeholder image">
</figure>
</div>
<div class="column">
<p class="title is-4">Professor Jen Jen Chung</p>
<p class="subtitle is-6">University of Queensland</p>
</div>
</div>
<div class="content">
Jen Jen Chung is an associate professor in Mechatronics within the School of Information
Technology
and Electrical Engineering at the University of Queensland.
Her current research interests include perception, planning and learning for robotic mobile
manipulation, algorithms for robot navigation through human crowds, informative path planning and
adaptive sampling.
</div>
</div>
</div>
</a>
</div>
</section>
<section class="section" id="Invited Speakers">
<div class="container is-max-desktop content">
<h2 class="title" id="relatedwork">Related Works 🧑🤝</h2>
Below is a collection of concurrent and related works in the field of open-set 3D scene understanding.
Please
feel free to get in touch to add other works as well.
<ul>
<li><a href="https://concept-fusion.github.io/">ConceptFusion: Open-set Multimodal 3D Mapping</a> RSS'23
</li>
<li><a href="https://pengsongyou.github.io/openscene">OpenScene: 3D Scene Understanding with Open
Vocabularies</a> CVPR'23</li>
<li><a href="https://www.lerf.io">LERF: Language Embedded Radiance Fields</a> ICCV'23</li>
<li><a href="https://pfnet-research.github.io/distilled-feature-fields/">Decomposing NeRF for Editing
via Feature Field Distillation</a> NeuRIPS'22</li>
<li><a href="https://semantic-abstraction.cs.columbia.edu/">Semantic Abstraction: Open-World 3D Scene
Understanding from 2D Vision-Language Models</a> CoRL'22</li>
<li><a href="https://rozdavid.github.io/scannet200">Language-Grounded Indoor 3D Semantic Segmentation in
the Wild</a> ECCV'22</li>
<li><a href="https://3dlg-hcvc.github.io/multiscan/">MultiScan: Scalable RGBD Scanning for 3D
Environments with Articulated Objects</a> NeurIPS'22</li>
<li><a href="https://github.com/NVlabs/ODISE">ODISE: Open-Vocabulary Panoptic Segmentation with
Text-to-Image Diffusion Models</a> CVPR'23</li>
<li><a href="https://github.com/Kunhao-Liu/3D-OVS">3D Open-vocabulary Segmentation with Foundation
Models</a></li>
<li><a href="https://arxiv.org/abs/2306.02329">Multi-CLIP: Contrastive Vision-Language Pre-training for
Question Answering tasks in 3D Scenes</a></li>
<li><a href="https://openmask3d.github.io">OpenMask3D: Open-Vocabulary 3D Instance Segmentation</a>
NeurIPS'23</li>
<li><a href="https://arxiv.org/abs/2303.04748">CLIP-FO3D: Learning Free Open-world 3D Scene
Representations from 2D Dense CLIP</li>
<li><a href="https://tsagkas.github.io/vl-fields/">VL-Fields: Towards Language-Grounded Neural Implicit
Spatial Representations</a> ICRA'23</li>
<li><a
href="https://openaccess.thecvf.com/content/CVPR2023/papers/Ding_PLA_Language-Driven_Open-Vocabulary_3D_Scene_Understanding_CVPR_2023_paper.pdf">PLA:
Language-Driven Open-Vocabulary 3D Scene Understanding</a> CVPR'23</li>
<li><a href="https://arxiv.org/abs/2304.00962">RegionPLC: Regional Point-Language Contrastive Learning
for Open-World 3D Scene Understanding</a></li>
<li><a href="https://arxiv.org/abs/2309.00616">OpenIns3D: Snap and Lookup for 3D open-vocabulary
Instance Segmentation</a></li>
<li><a href="https://github.com/shiyoung77/OVIR-3D/">OVIR-3D: Open-Vocabulary 3D Instance Retrieval
Without Training on 3D Data</a> CoRL'23</li>
</ul>
</div>
</section>
<section class="section" id="Papers">
<div class="container is-max-desktop content">
<h2 class="title" id="dates">Important Dates 🗓️</h2>
<ul>
<li><b>Paper Track</b>: We accept novel full 8-page papers for publication in the proceedings, and
shorter
4-page extended abstracts of either novel or previously published work that will not be included in
the
proceedings. All submissions shall follow the <a
href="https://iccv2023.thecvf.com/submission.guidelines-361600-2-20-16.php">ICCV 2023 author
guidelines.</a>
</li>
<ul>
<li><b>Submission Portal</b>: <a href="https://cmt3.research.microsoft.com/OpenSUN3D2023">CMT</a></li>
<li><b>Paper Submission Deadline</b>: July 31, 2023 (23:59 Pacific Time)</li>
<li><b>Notification to Authors</b>: August 9, 2023</li>
<li><b>Camera-ready submission</b>: August 21, 2023</li>
</ul>
<li><b>Challenge Track</b>:</li>
<ul>
<li><b>Submission Portal</b>: <a
href="https://eval.ai/web/challenges/challenge-page/2102/overview">EvalAI</a></li>
<li><b>Data Instructions & Helper Scripts</b>: <a
href="https://github.com/OpenSun3D/OpenSun3D.github.io/tree/main/challenge_iccv23">GitHub</a></li>
<li><b>Dev Phase Start</b>: July 13, 2023</li>
<li><b>Submission Portal Start</b>: July 17, 2023</li>
<li><b>Test Phase Start</b>: August 16, 2023</li>
<li><b>Test Phase End</b>: September 30, 2023 <i>(Winners are decided on this date)</i></li>
</ul>
</ul>
</div>
</section>
<section class="section" id="Papers">
<div class="container is-max-desktop content">
<h2 class="title" id="accepted">Accepted Papers 📄</h2>
<div class="box">
<article class="media">
<div class="media-content">
<div class="content">
<p>
<strong>CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition</strong>
<br>
Deepti B. Hegde, Jeya Maria Jose Valanarasu, Vishal Patel
</p>
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<p>
<strong>CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP</strong>
<br>
Junbo Zhang, Runpei Dong, Kaisheng Ma
</p>
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<div class="content">
<p>
<strong>The Change You Want to See (Now in 3D)</strong>
<br>
Ragav Sachdeva, Andrew Zisserman
</p>
</div>
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<article class="media">
<div class="media-content">
<div class="content">
<p>
<strong>Learning to Prompt CLIP for Monocular Depth Estimation: Exploring the Limits of Human
Language</strong>
<br>
Dylan Auty, Krystian Mikolajczyk
</p>
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<article class="media">
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<div class="content">
<p>
<strong>SAM3D: Segment Anything in 3D Scenes</strong>
<br>
Yunhan Yang, Xiaoyang Wu, Tong He, Hengshuang Zhao, Xihui Liu
</p>
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<article class="media">
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<div class="content">
<p>
<strong>POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images</strong>
<br>
Antonin Vobecky, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez,
Josef Sivic
</p>
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<article class="media">
<div class="media-content">
<div class="content">
<p>
<strong>OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data</strong>
<br>
Shiyang Lu, Haonan Chang, Eric P. Jing, Yu Wu, Abdeslam Boularias, Kostas Bekris
</p>
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</section>
<section class="section" id="Challenge Results">
<div class="container is-max-desktop content">
<h2 class="title" id="challengeresults">Challenge Results</h2>
We have published a <a href="https://arxiv.org/abs/2402.15321">
technical report</a> providing an overview of our workshop challenge, results, and the methods of the winning teams!
<br>
<br>
Top-3 ranking teams from <a href="https://eval.ai/web/challenges/challenge-page/2102/overview">our
workshop challenge</a> are listed below:
<br>
<br>
<div class="columns is-centered">
<table id="leaderboard_table" class="ng-scope highlight">
<thead>
<tr>
<td data-field="rank">Rank</td>
<td data-field="team">Team</td>
<td data-field="method">Method</td>
<td class="ng-scope"><span class="w-300 fs-20 leaderboard-label ng-binding ng-scope">mAP
(↑) </span></td>
<td class="ng-scope"><span class="w-300 fs-20 leaderboard-label ng-binding ng-scope">AP_50
(↑) </span></td>
<td class="ng-scope"><span class="w-300 fs-20 leaderboard-label ng-binding ng-scope">AP_25
(↑) </span></td>
</tr>
</thead>
<tbody class="fs-16 w-300">
<tr id="leaderboardrank-1" class="fs-16 ng-scope" tabindex="0">
<td class="ng-binding">1</td>
<td><span class="ng-binding ng-scope">PICO-MR
<div style="line-height:30%;">
<br>
</div>
<small>Hongbo Tian<sup>1,2</sup>, Chunjie Wang<sup>1</sup>, Xiaosheng Yan<sup>1</sup>, Bingwen
Wang<sup>1</sup>, Xuanyang Zhang<sup>1</sup>, Xiao Liu<sup>1</sup>
</small>
<div style="line-height:30%;">
<br>
</div>
<small><small><small><sup>1</sup>PICO, ByteDance, Beijing
<sup>2</sup>Beijing University of Posts and Telecommunications
</small></small></small>
</span></td>
<td><span class="ng-binding ng-scope">-</span></td>
<td class="ng-scope"><span class="w-300 fs-16 ng-binding ng-scope">6.08</span></td>
<td class="ng-scope"><span class="w-300 fs-16 ng-binding ng-scope">14.08</span></td>
<td class="ng-scope"><span class="w-300 fs-16 ng-binding ng-scope">17.67</span></td>
</tr>
<tr id="leaderboardrank-2" class="fs-16 ng-scope" tabindex="0">
<td class="ng-binding">2</td>
<td><span class="ng-binding ng-scope">VinAI-3DIS <div style="line-height:30%;">
<br>
</div> <small><a href="https://github.com/PhucNDA">Phuc Nguyen<sup>1</sup></a>,
<a href="https://www.khoinguyen.org/">Khoi Nguyen<sup>1</sup></a>,
<a href="https://scholar.google.com/citations?user=FYZ5ODQAAAAJ&hl=en">Anh
Tran<sup>1</sup></a>,
<a href="https://sites.google.com/view/cuongpham/home">Cuong Pham<sup>1</sup></a> </small>
<div style="line-height:30%;">
<br>
</div>
<small><small><small><sup>1</sup>VinAI Research
</small></small></small>
</span></td>
<td><span class="w-300 fs-16 ng-binding ng-scope"><a
href="https://github.com/PhucNDA/Open3DSceneUnderstanding">GitHub</a></span></td>
<td class="ng-scope"><span class="w-300 fs-16 ng-binding ng-scope">4.13</span></td>
<td class="ng-scope"><span class="w-300 fs-16 ng-binding ng-scope">12.14</span></td>
<td class="ng-scope"><span class="w-300 fs-16 ng-binding ng-scope">39.41</span></td>
</tr>
<tr id="leaderboardrank-3" class="fs-16 ng-scope" tabindex="0">
<td class="ng-binding">3</td>
<td><span class="ng-binding ng-scope">CRP <div style="line-height:30%;">
<br>
</div> <small><a href="https://zheninghuang.github.io/">Zhening Huang<sup>1</sup></a>,
Xiaoyang Wu<sup>2</sup>,
Xi Chen<sup>2</sup>,
Hengshuang Zhao<sup>2</sup>,
Lei Zhu<sup>3</sup>,
Joan Lasenby<sup>1</sup> </small>
<div style="line-height:30%;">
<br>
</div>
<small><small><small><sup>1</sup>University of Cambridge
<sup>2</sup>HKU <sup>3</sup>HKUST (Guangzhou)
</small></small></small>
</span></td>
<td><span class="ng-binding ng-scope">-</span></td>
<td class="ng-scope"><span class="w-300 fs-16 ng-binding ng-scope">2.67</span></td>
<td class="ng-scope"><span class="w-300 fs-16 ng-binding ng-scope">5.06</span></td>
<td class="ng-scope"><span class="w-300 fs-16 ng-binding ng-scope">13.98</span></td>
</tr>
</tbody>
</table>
<p> </p>
</div>
</div>
</section>
<section class="section" id="Organizers">
<div class="container is-max-desktop content">
<h2 class="title" id="organizers">Organizers</h2>
<div class="columns is-centered">
<div class="column">
<a href="http://francisengelmann.github.io">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/francis.jpg" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Francis Engelmann</p>
<p class="subtitle is-6">ETH Zurich</p>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column">
<a href="https://aycatakmaz.github.io">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/ayca.jpg" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Ayca Takmaz</p>
<p class="subtitle is-6">ETH Zurich</p>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column">
<a href="https://jonasschult.github.io">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="https://jonasschult.github.io/images/profile.jpg"
alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Jonas Schult</p>
<p class="subtitle is-6">RWTH Aachen</p>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column">
<a href="https://github.com/elisabettafedele">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/elisabetta.png" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Elisabetta Fedele</p>
<p class="subtitle is-6">ETH Zurich</p>
</div>
</div>
</div>
</div>
</a>
</div>
</div>
<div class="columns is-centered">
<div class="column">
<a href="https://github.com/WaldJohannaU">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/johanna.jpg" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Johanna Wald</p>
<p class="subtitle is-6">Google</p>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column">
<a href="https://pengsongyou.github.io">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/songyou.jpg" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Songyou Peng</p>
<p class="subtitle is-6">ETH Zurich</p>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column">
<a href="https://xiwang1212.github.io/homepage/">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/xi.jpg" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Xi Wang</p>
<p class="subtitle is-6">ETH Zurich</p>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column">
<a href="https://orlitany.github.io">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/or.jpg" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Or Litany</p>
<p class="subtitle is-6">NVIDIA</p>
</div>
</div>
</div>
</div>
</a>
</div>
</div>
<div class="columns is-centered">
<div class="column">
<a href="https://vlg.inf.ethz.ch/team/Prof-Dr-Siyu-Tang.html">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/siyu.jpg" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Siyu Tang</p>
<p class="subtitle is-6">ETH Zurich</p>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column">
<a href="https://federicotombari.github.io">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/federico.jpg" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Federico Tombari</p>
<p class="subtitle is-6">TUM, Google</p>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column">
<a href="https://people.inf.ethz.ch/marc.pollefeys/">
<div class="card">
<div class="card-image">
<figure class="image">
<img class="is-rounded" src="./static/img/marc.jpg" alt="Placeholder image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content" style="overflow-x: unset;">
<p class="title is-6">Marc Pollefeys</p>
<p class="subtitle is-6">ETHZ, Microsoft</p>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column">
<a href="https://geometry.stanford.edu/member/guibas/">
<div class="card">