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<!DOCTYPE html>
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<h1>Angel Xuan Chang</h1>
<div class="row">
<div class="col-sm-8 pull-left" style="min-height: 280px; display: flex; flex-direction: column;">
<p>
I am an Assistant Professor at <a href="https://www.sfu.ca/computing.html">Simon Fraser University</a>.
Prior to this, I was a visiting research scientist at <a href="https://research.fb.com/category/facebook-ai-research/">Facebook AI Research</a> and a research scientist at <a href="http://eloquent.ai">Eloquent Labs</a> working on dialogue. I received my Ph.D. in <a href="http://cs.stanford.edu/">Computer Science</a> from <a href="http://www.stanford.edu/">Stanford</a>, where I was part of the <a href="http://nlp.stanford.edu/">Natural Language Processing Group</a> and advised by <a href="http://nlp.stanford.edu/~manning/">Chris Manning</a>.
My research focuses on connecting language to 3D representations of shapes and scenes and grounding of language for embodied agents in indoor environments. I have worked on methods for synthesizing 3D <a href="http://nlp.stanford.edu/projects/text2scene.shtml">scenes</a> and <a href="http://text2shape.stanford.edu/">shapes</a> from natural language, and various datasets for 3D scene understanding. In general, I am interested in the semantics of shapes and scenes, the representation and acquisition of common sense knowledge, and reasoning using probabilistic models.
Some of my other <a href="http://www.coiraweb.com/poignance/angel">interests</a> include <a href="http://www.coiraweb.com/poignance/angel/art/reflections.html">drawing</a> and <a href="http://www.coiraweb.com/poignance/angel/dance/dance.html">dance</a>.
</p>
<p>
</p>
</div>
<div class="col-sm-4 text-right pull-right">
<img src="files/angel.jpg" alt="Angel Xuan Chang" width="150px"/>
<div style="font-family:monospace;">
angelx-{at}-sfu-[dot]-ca
</div><br>
Assistant Professor<br/>
School of Computing Science<br/>
<a href="https://www.sfu.ca/computing.html">Simon Fraser University</a><br/>
<a href="https://gruvi.cs.sfu.ca/">GrUVi Lab</a> | <a href="http://natlang.cs.sfu.ca/">SFU NatLang</a> | <a href="http://ml.cs.sfu.ca/#/">SFU AI/ML</a><br/>
Canada CIFAR AI Chair (<a href="https://www.amii.ca/">Amii</a>)<br/>
TUM-IAS Hans Fischer Fellow<br/>
<a href="https://scholar.google.com/citations?user=8gfs8XIAAAAJ&hl=en">Google Scholar</a>
</div>
</div>
<br>
<div class="row">
<div class="col-sm-12">
<div class="panel panel-default">
<div class="panel-heading">
<h2>Publications</h2>
<button class="badge badge-primary selectable pub_badge" id="pub_all" onclick="util.showAllPubs()">all</button>
<button class="badge badge-primary selectable pub_badge" id="pub_nlp" onclick="util.showPubs('maintags', 'nlp')">nlp</button>
<button class="badge badge-primary selectable pub_badge" id="pub_vision" onclick="util.showPubs('maintags', 'vision')">vision</button>
<button class="badge badge-primary selectable pub_badge" id="pub_graphics" onclick="util.showPubs('maintags', 'graphics')">graphics</button>
<button class="badge badge-primary selectable pub_badge" id="pub_hci" onclick="util.showPubs('maintags', 'hci')">hci</button>
</div>
<div class="panel-body">
<div class="year">
<h3>2022</h3>
<div class="row paper vertical-center" id="pub_0" data-maintags="preprint">
<div class="col-sm-3 paper-img">
<a href="https://hanhung.github.io/PureCLIPNeRF/"><img src="files/pureclipnerf.png" alt="Understanding Pure CLIP Guidance for Voxel Grid NeRF Models" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
<a href="https://hanhung.github.io/PureCLIPNeRF/">
Understanding Pure CLIP Guidance for Voxel Grid NeRF Models
</a>
</h4>
<a href="https://hanhung.github.io/">Han-Hung Lee</a>,
<b>
Angel X. Chang<br>
</b>
arXiv:2201.07366 [cs.CV], September 2022<br>
<a href="https://arxiv.org/pdf/2209.15172.pdf">pdf</a>
|
<a href="https://github.com/hanhung/PureCLIPNeRF">code</a>
| <a href="https://hanhung.github.io/PureCLIPNeRF/">webpage</a>
</div>
</div>
<div class="row paper vertical-center" id="pub_1" data-maintags="ai,conference">
<div class="col-sm-3 paper-img">
<a href=""><img src="files/multiscan.png" alt="MultiScan: Scalable RGBD scanning for 3D environments with articulated objects" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
MultiScan: Scalable RGBD scanning for 3D environments with articulated objects
</h4>
Yongsen Mao,
Yiming Zhang,
<a href="https://jianghanxiao.github.io/">Hanxiao (Shawn) Jiang</a>,
<b>
Angel X. Chang,
</b>
<a href="https://msavva.github.io/">Manolis Savva</a><br>
NeurIPS 2022<br>
</div>
</div>
<div class="row paper vertical-center" id="pub_2" data-maintags="vision,conference">
<div class="col-sm-3 paper-img">
<a href="https://3dlg-hcvc.github.io/3dhoi/"><img src="files/3dhoi.png" alt="Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
<a href="https://3dlg-hcvc.github.io/3dhoi/">
Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges
</a>
</h4>
Sanjay Haresh,
Xiaohao Sun,
<a href="https://jianghanxiao.github.io/">Hanxiao (Shawn) Jiang</a>,
<b>
Angel X. Chang,
</b>
<a href="https://msavva.github.io/">Manolis Savva</a><br>
3DV 2022<br>
<a href="https://arxiv.org/pdf/2209.05612.pdf">pdf</a>
| <a href="https://3dlg-hcvc.github.io/3dhoi/">webpage</a>
</div>
</div>
<div class="row paper vertical-center" id="pub_3" data-maintags="vision,conference">
<div class="col-sm-3 paper-img">
<a href="https://3dlg-hcvc.github.io/OPD/"><img src="files/opd.png" alt="OPD: Single-view 3D Openable Part Detection" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
<a href="https://3dlg-hcvc.github.io/OPD/">
OPD: Single-view 3D Openable Part Detection
</a>
</h4>
<a href="https://jianghanxiao.github.io/">Hanxiao (Shawn) Jiang</a>,
Yongsen Mao,
<a href="https://msavva.github.io/">Manolis Savva</a>,
<b>
Angel X. Chang<br>
</b>
ECCV 2022<br>
<a href="https://arxiv.org/pdf/2203.16421.pdf">pdf</a>
| <a href="https://3dlg-hcvc.github.io/OPD/">webpage</a>
</div>
</div>
<div class="row paper vertical-center" id="pub_4" data-maintags="vision,conference">
<div class="col-sm-3 paper-img">
<a href="https://daveredrum.github.io/D3Net/"><img src="files/d3net.png" alt="D3Net: A Speaker-Listener Architecture for Semi-supervised Dense Captioning and Visual Grounding in RGB-D Scans" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
<a href="https://daveredrum.github.io/D3Net/">
D3Net: A Speaker-Listener Architecture for Semi-supervised Dense Captioning and Visual Grounding in RGB-D Scans
</a>
</h4>
<a href="http://www.niessnerlab.org/members/zhenyu_chen/profile.html">Dave Zhenyu Chen</a>,
Qirui Wu,
<a href="https://niessnerlab.org/members/matthias_niessner/profile.html">Matthias Nießner</a>,
<b>
Angel X. Chang<br>
</b>
ECCV 2022<br>
<a href="https://arxiv.org/pdf/2112.01551.pdf">pdf</a>
| <a href="https://daveredrum.github.io/D3Net/">webpage</a>
</div>
</div>
<div class="row paper vertical-center" id="pub_5" data-maintags="vision,conference">
<div class="col-sm-3 paper-img">
<a href="https://3dlg-hcvc.github.io/3DVQA/"><img src="files/3dvqa.png" alt="3DVQA: Visual Question Answering for 3D Environments" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
<a href="https://3dlg-hcvc.github.io/3DVQA/">
3DVQA: Visual Question Answering for 3D Environments
</a>
</h4>
Yasaman Etesam,
Leon Kochiev,
<b>
Angel X. Chang<br>
</b>
CRV 2022<br>
<a href="https://ieeexplore.ieee.org/document/9866910">pdf</a>
| <a href="https://3dlg-hcvc.github.io/3DVQA/">webpage</a>
</div>
</div>
<div class="row paper vertical-center" id="pub_6" data-maintags="preprint">
<div class="col-sm-3 paper-img">
<a href="https://3dlg-hcvc.github.io/tricolo/"><img src="files/tricolo.png" alt="TriCoLo: Trimodal Contrastive Loss for fine-grained Text to Shape Retrieval" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
<a href="https://3dlg-hcvc.github.io/tricolo/">
TriCoLo: Trimodal Contrastive Loss for fine-grained Text to Shape Retrieval
</a>
</h4>
Yue Ruan,
<a href="https://hanhung.github.io/">Han-Hung Lee</a>,
Ke Zhang,
<b>
Angel X. Chang<br>
</b>
arXiv:2201.07366 [cs.CV], January 2022<br>
<a href="https://arxiv.org/pdf/2201.07366.pdf">pdf</a>
|
<a href="https://github.com/3dlg-hcvc/tricolo">code</a>
| <a href="https://3dlg-hcvc.github.io/tricolo/">webpage</a>
</div>
</div>
</div>
<div class="year">
<h3>2021</h3>
<div class="row paper vertical-center" id="pub_7" data-maintags="ai,conference">
<div class="col-sm-3 paper-img">
<a href="https://aihabitat.org/datasets/hm3d/"><img src="files/hm3d.jpeg" alt="Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
<a href="https://aihabitat.org/datasets/hm3d/">
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
</a>
</h4>
<a href="https://srama2512.github.io/">Santhosh K. Ramakrishnan</a>,
<a href="https://skylion007.github.io/">Aaron Gokaslan</a>,
<a href="https://wijmans.xyz/">Erik Wijmans</a>,
Oleksandr Maksymets,
Alexander Clegg,
John Turner,
Eric Undersander,
Wojciech Galuba,
Andrew Westbury,
<b>
Angel X. Chang,
</b>
<a href="https://msavva.github.io/">Manolis Savva</a>,
<a href="http://www.yilizhao.net/">Yili Zhao</a>,
<a href="https://www.cc.gatech.edu/~dbatra/">Dhruv Batra</a><br>
NeurIPS Datasets and Benchmarks Track 2021<br>
<a href="https://arxiv.org/pdf/2109.08238.pdf">pdf</a>
| <a href="https://aihabitat.org/datasets/hm3d/">webpage</a>
</div>
</div>
<div class="row paper vertical-center" id="pub_8" data-maintags="ai,conference">
<div class="col-sm-3 paper-img">
<a href="https://arxiv.org/pdf/2106.14405.pdf"><img src="files/hab2.jpeg" alt="Habitat 2.0: Training Home Assistants to Rearrange their Habitat" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
</h4>
<a href="https://www.andrewszot.com/">Andrew Szot</a>,
Alexander Clegg,
Eric Undersander,
<a href="https://wijmans.xyz/">Erik Wijmans</a>,
<a href="http://www.yilizhao.net/">Yili Zhao</a>,
John Turner,
Noah Maestre,
<a href="http://www.mustafamukadam.com/">Mustafa Mukadam</a>,
<a href="https://devendrachaplot.github.io/">Devendra Chaplot</a>,
Oleksandr Maksymets,
<a href="https://skylion007.github.io/">Aaron Gokaslan</a>,
<a href="https://github.com/mosra">Vladimír Vondrus</a>,
Sameer Dharur,
<a href="https://fmeier.github.io/">Franziska Meier</a>,
Wojciech Galuba,
<b>
Angel X. Chang,
</b>
<a href="https://www.cc.gatech.edu/~zk15/">Zsolt Kira</a>,
<a href="http://vladlen.info/">Vladlen Koltun</a>,
<a href="https://people.eecs.berkeley.edu/~malik/">Jitendra Malik</a>,
<a href="https://msavva.github.io/">Manolis Savva</a>,
<a href="https://www.cc.gatech.edu/~dbatra/">Dhruv Batra</a><br>
NeurIPS 2021<br>
<a href="https://arxiv.org/pdf/2106.14405.pdf">pdf</a>
|
<a href="https://github.com/facebookresearch/habitat-sim">code</a>
|
<a href="https://ai.facebook.com/blog/habitat-20-training-home-assistant-robots-with-faster-simulation-and-new-benchmarks/">post</a>
</div>
</div>
<div class="row paper vertical-center" id="pub_9" data-maintags="nlp,conference">
<div class="col-sm-3 paper-img">
<a href="https://3dlg-hcvc.github.io/LAW-VLNCE/"><img src="files/law-vlnce.gif" alt="Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments" class="img-responsive" style="width: 300px;"/></a>
</div>
<div class="col-sm-9">
<h4 class="red">
<a href="https://3dlg-hcvc.github.io/LAW-VLNCE/">
Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments
</a>
</h4>
<a href="https://sonia-raychaudhuri.github.io/">Sonia Raychaudhuri</a>,
<a href="https://shivanshpatel35.github.io/">Shivansh Patel</a>,
<a href="https://saimwani.github.io/">Saim Wani</a>,
<a href="https://unnat.github.io/">Unnat Jain</a>,
<b>
Angel X. Chang<br>
</b>
EMNLP 2021 (short)<br>
<a href="https://arxiv.org/pdf/2109.15207.pdf">pdf</a>
|
<a href="https://github.com/3dlg-hcvc/LAW-VLNCE">code</a>