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<h3> Multiple Object Tracking and Segmentation in Complex Environments</h3>
<h5> Four challenges in long video, occluded object, diverse motion and open-world</h5>
<h3> October 24<sup>th</sup>, 9:00 am (UTC+3), ECCV 2022 Online Workshop</h3>
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<h2>News</h2>
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<p>[October 22] All technical reports of top teams in four challenges are available now ! Thanks for their sharing. </p>
<p>[July 11] UVO Challenge is open today ! [<a href="https://sites.google.com/view/unidentified-video-object/dataset?authuser=0">Dataset Download</a>] [<a href="https://eval.ai/web/challenges/challenge-page/1835/leaderboard/4308">Evaluation Server Image</a>] [<a href="https://eval.ai/web/challenges/challenge-page/1840/leaderboard/4320">Evaluation Server Video</a>]</p>
<p>[July 10] YouTubeVIS: Long Video Challenge is open today ! [<a href="https://codalab.lisn.upsaclay.fr/competitions/5902#participate">Dataset Download</a>] [<a href="https://codalab.lisn.upsaclay.fr/competitions/5902">Evaluation Server</a>]</p>
<p>[July 5] OVIS Challenge is open today ! [<a href="https://codalab.lisn.upsaclay.fr/competitions/5857#participate-get-data">Dataset Download</a>] [<a href="https://codalab.lisn.upsaclay.fr/competitions/5857">Evaluation Server</a>]</p>
<p>[July 4] DanceTrack Challenge is open today ! [<a href="https://github.com/DanceTrack/DanceTrack">Dataset Download</a>] [<a href="https://codalab.lisn.upsaclay.fr/competitions/5832">Evaluation Server</a>]</p>
<p>[July 3] Competition Phase 1 is postponed to July 11, 2022 (00:01am UTC Time). Apology for this delay. </p>
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<h2>Overview</h2>
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<h5>Abstract</h5>
<p>Multiple object tracking and segmentation aims to localize and associate objects of interest along time, and serves as fundamental technologies in many practical applications, such as visual surveillance, public security, video analysis, and human-computer interaction. </p>
<p>Computer vision systems nowadays have achieved great performance in simple tracking and segmentation scenes, such as <a href="https://motchallenge.net/">MOT dataset</a> and <a href="https://davischallenge.org/">DAVIS dataset</a>, but are not as robust as the human vision system, especially in complex environments.
</p>
<p>To advance current vision systems performance in complex environments, our workshop explores four settings of multiple object tracking and segmentation: (a) long video (b) occluded object (c) diverse motion (d) open-world.</p>
<h5>Four challenges consist of:</h5>
<ul>
<li>4th YouTubeVIS and Long Video Instance Segmentation Challenge</li>
<li>2nd Occluded Video Instance Segmentation Challenge</li>
<li>1st Multiple People Tracking in Group Dance Challenge</li>
<li>2nd Open-World Video Object Detection and Segmentation Challenge</li>
</ul>
<!-- <h5>Distinctive Properties</h5>
<ul>
<li><b>Long videos.</b> The average video duration and the average instance duration are 00.00s and 00.00s respectively.</li>
<li><b>Severe occlusions.</b> The most distinctive property of OVIS dataset is that a large portion of objects is under various types of severe occlusions caused by different factors.</li>
<li><b>Diverse motions.</b> Humans have highly similar appearance, diverse motion and extreme articulation.</li>
</ul> -->
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<h2>Challenge</h2>
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<h5>YouTubeVIS: Long Video</h5>
Video Instance Segmentation extends the image instance segmentation task from the image domain to the video domain. This problem aims at simultaneous detection, segmentation and tracking of object instances in videos. We extend VIS with long videos for validation and testing, consisting of:
<ul>
<li>141 additional long videos, 71 in validation, 70 in test</li>
<li>259 additional unique video instances with average duration of 49.8s</li>
<li>9304 additional high-quality instance masks</li>
</ul>
<p>
The additional long videos (L) are separately evaluated from previous short videos. We use average precision (AP_L) at different intersection-over-union (IoU) thresholds and average recall (AR_L) as our evaluation metrics. The IoU in video instance segmentation is the sum of intersection area over the sum of union area across the video. For more details about the dataset, please refer to our <a href="https://arxiv.org/abs/1905.04804">paper</a> or <a href="https://youtube-vos.org/dataset/vis/">website</a>.
</p>
<a href="https://codalab.lisn.upsaclay.fr/competitions/5902#participate">Dataset Download</a><br>
<a href="https://codalab.lisn.upsaclay.fr/competitions/5902">Evaluation Server</a><br>
</div>
</div>
<div class="trend-entry d-flex">
<div class="trend-contents">
<h5>OVIS </h5>
Occluded Video Instance Segmentation is a new large scale benchmark dataset designed with the philosophy of perceiving object occlusions in videos, which could reveal the complexity and the diversity of real-world scenes. OVIS consists of:
<ul>
<li>901 videos with severe object occlusions</li>
<li>25 commonly seen semantic categories</li>
<li>5,223 unique instances with average duration of 10.05s</li>
<li>296k high-quality instance masks</li>
</ul>
<p>
We use average precision (AP) at different intersection-over-union (IoU) thresholds and average recall (AR) as our evaluation metrics. The IoU in video instance segmentation is the sum of intersection area over the sum of union area across the video. For more details about the dataset, please refer to our <a href="https://arxiv.org/abs/2102.01558">paper</a> or <a href="http://songbai.site/ovis/">website</a>.
</p>
<a href="https://codalab.lisn.upsaclay.fr/competitions/5857#participate-get-data">Dataset Download</a><br>
<a href="https://codalab.lisn.upsaclay.fr/competitions/5857">Evaluation Server</a><br>
</div>
</div>
<div class="trend-entry d-flex">
<div class="trend-contents">
<h5>DanceTrack</h5>
DanceTrack is a multi-human tracking dataset with two emphasized properties, (1) uniform appearance: humans are in highly similar and almost undistinguished appearance, (2) diverse motion: humans are in complicated motion pattern and their relative positions exchange frequently. DanceTrack consists of:
<ul>
<li>100 videos of group dance, 40 training videos, 25 validation videos and 35 test videos</li>
<li>990 unique instances with average duration of 52.9s</li>
<li>877k high-quality bounding boxes</li>
</ul>
<p>
We use Higher Order Tracking Accuracy (HOTA) as the main metric, AssA and IDF1 to measure association performance, DetA and MOTA for detection quality. For more details about the dataset, please refer to our <a href="https://arxiv.org/abs/2111.14690">paper</a> or <a href="https://dancetrack.github.io/">website</a>.
</p>
<a href="https://github.com/DanceTrack/DanceTrack">Dataset Download</a><br>
<a href="https://codalab.lisn.upsaclay.fr/competitions/5832">Evaluation Server</a><br>
</div>
</div>
<div class="trend-entry d-flex">
<div class="trend-contents">
<h5>UVO</h5>
Unidentified Video Objects benchmark is aimed at developing computer vision models that can detect and segment all objects that appear in images or videos regardless of their semantic concepts, either known or unknown. UVO is highlighted of:
<ul>
<li>high quality instance masks annotated at 30 fps on 1024 YouTube videos and 1fps on 10337 videos from Kinetics dataset</li>
<li>annotating ALL objects in each video, 13.5 objects per video on average</li>
<li>57% of objects are not covered by COCO categories</li>
</ul>
<p>
We use average precision (AP) at different intersection-over-union (IoU) thresholds and average recall (AR) as our evaluation metrics. The IoU in video instance segmentation is the sum of intersection area over the sum of union area across the video. For more details about the dataset, please refer to our <a href="https://arxiv.org/abs/2104.04691">paper</a> or <a href="https://sites.google.com/view/unidentified-video-object">website</a>.
</p>
<a href="https://sites.google.com/view/unidentified-video-object/dataset?authuser=0">Dataset Download</a><br>
<a href="https://eval.ai/web/challenges/challenge-page/1835/leaderboard/4308">Evaluation Server Image</a><br>
<a href="https://eval.ai/web/challenges/challenge-page/1840/leaderboard/4320">Evaluation Server Video</a><br>
</div>
</div>
<h5>Competition Schedule</h5>
<div class="trend-entry d-flex">
<table class="table table-striped">
<thead>
<tr>
<th scope="col"> Competition</th>
<th scope="col"> Date</th>
</tr>
</thead>
<tbody>
<tr>
<td>Competition Phase 1 (open the submission of the val results)</td>
<td>July 01, 2022 (00:01am UTC Time)</td>
</tr>
<tr>
<td>Competition Phase 2 (open the submission of the test results)</td>
<td>September 01, 2022 (00:01am UTC Time)</td>
</tr>
<tr>
<td>Deadline for Submitting the Final Predictions</td>
<td>October 01, 2022 (11:59pm UTC Time)</td>
</tr>
<tr>
<td>Decisions to Participants</td>
<td>October 05, 2022 (11:59pm UTC Time)</td>
</tr>
<!-- <tr>
<td>Poster</td>
<td>10:00-11:00, June 16, 2021</td>
</tr> -->
</tbody>
</table>
</div>
<h5>Top Teams</h5>
<p><b>(* equal contribution)</b></p>
<div class="trend-entry d-flex">
<table class="table table-striped">
<thead>
<tr>
<th scope="col"> Challenge</th>
<th scope="col"> Rank</th>
<th scope="col"> Team Name</th>
<th scope="col"> Team Members</th>
<th scope="col"> Organization</th>
<th scope="col"> Technical Report</th>
</tr>
</thead>
<tbody>
<tr>
<td>YouTubeVIS:Long Video</td>
<td><a href="certificates/cert_ytvislong_1st.pdf">1st</a></td>
<td>IIG</td>
<td>Yong Liu<sup>1,2</sup>, Jixiang Sun<sup>1</sup>, Yitong Wang<sup>2</sup>, Cong Wei<sup>1</sup>, Yansong Tang<sup>1</sup>, Yujiu Yang<sup>1</sup></td>
<td><sup>1</sup>Tsinghua Shenzhen International Graduate School, Tsinghua University, <sup>2</sup>ByteDance Inc.</td>
<td><a href="report/ytvislong_IIG.pdf">IIG</a></td>
</tr>
<tr>
<td>YouTubeVIS:Long Video</td>
<td><a href="certificates/cert_ytvislong_2nd.pdf">2nd</a></td>
<td>ByteVIS</td>
<td>Junfeng Wu<sup>1</sup>, Yi Jiang<sup>2</sup>, Qihao Liu<sup>3</sup>, Xiang Bai<sup>1</sup>, Song Bai<sup>2</sup></td>
<td><sup>1</sup>Huazhong University of Science and Technology, <sup>2</sup>Bytedance, <sup>3</sup>Johns Hopkins University</td>
<td><a href="report/ytvislong_ByteVIS.pdf">ByteVIS</a></td>
</tr>
<tr>
<td>OVIS</td>
<td><a href="certificates/cert_ovis_1st.pdf">1st</a></td>
<td>BeyondSOTA</td>
<td>Fengliang Qi, Jing Xian, Zhuang Li, Bo Yan, Yuchen Hu, Hongbin Wang</td>
<td>Ant Group</td>
<td><a href="report/ovis_beyondsota.pdf">BeyondSOTA</a></td>
</tr>
<tr>
<td>OVIS</td>
<td><a href="certificates/cert_ovis_2nd.pdf">2nd</a></td>
<td>IIG</td>
<td>Yong Liu<sup>1,2</sup>, Jixiang Sun<sup>1</sup>, Yitong Wang<sup>2</sup>, Cong Wei<sup>1</sup>, Yansong Tang<sup>1</sup>, Yujiu Yang<sup>1</sup></td>
<td><sup>1</sup>Tsinghua Shenzhen International Graduate School, Tsinghua University, <sup>2</sup>ByteDance Inc.</td>
<td><a href="report/ovis_IIG.pdf">IIG</a></td>
</tr>
<tr>
<td>DanceTrack</td>
<td><a href="certificates/cert_dancetrack_1st.pdf">1st</a></td>
<td>MOTRv2</td>
<td>Yuang Zhang<sup>1,2</sup>, Tiancai Wang<sup>1</sup>, Weiyao Lin<sup>2</sup>, Xiangyu Zhang<sup>1</sup></td>
<td><sup>1</sup>MEGVII Technology, <sup>2</sup>Shanghai Jiao Tong University</td>
<td><a href="report/dancetrack_MOTRv2.pdf">MOTRv2</a></td>
</tr>
<tr>
<td>DanceTrack</td>
<td><a href="certificates/cert_dancetrack_2nd.pdf">2nd</a></td>
<td>C-BIoU</td>
<td>Fan Yang, Shigeyuki Odashima, Shoichi Masui, Shan Jiang</td>
<td>Fujitsu Research</td>
<td><a href="report/dancetrack_cbiou_report.pdf">C-BIOU</a></td>
</tr>
<tr>
<td>DanceTrack</td>
<td><a href="certificates/cert_dancetrack_2nd_fix.pdf">2nd</a></td>
<td>mt_iot</td>
<td>Feng Yan, Zhiheng Li, Weixin Luo, Zequn Jie, Fan Liang, Xiaolin Wei, Lin Ma</td>
<td>Meituan</td>
<td><a href="report/dancetrack_mt_iot.pdf">mt_iot</a></td>
</tr>
<tr>
<td>DanceTrack</td>
<td><a href="certificates/cert_dancetrack_3rd.pdf">3rd</a></td>
<td>DLUT_IIAU</td>
<td>Guangxin Han<sup>1</sup>, Mingzhan Yang<sup>1</sup>, Yanxin Liu<sup>1</sup>, Shiyu Zhu<sup>2</sup>, Yuzhuo Han<sup>2</sup>, Xu Jia<sup>1</sup>, Huchuan Lu<sup>1</sup></td>
<td><sup>1</sup>Dalian University of Technology, <sup>2</sup>Honor Device Co.Ltd</td>
<td><a href="report/dancetrack_DLUT_IIAU.pdf">DLUT_IIAU</a></td>
</tr>
<tr>
<td>UVO</td>
<td><a href="certificates/cert_uvo_1st.pdf">1st</a></td>
<td>TAL-BUPT</td>
<td>Jiajun Zhang<sup>*1</sup>, Boyu Chen<sup>*2</sup>, Zhilong Ji<sup>2</sup>, Jinfeng Bai<sup>2</sup>, Zonghai Hu<sup>1</sup></td>
<td><sup>1</sup>Beijing University of Posts and Telecommunications, <sup>2</sup>Tomorrow Advancing Life</td>
<td><a href="https://arxiv.org/abs/2210.09629">TAL-BUPT</a></td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="col-lg-12" id="workshop" style="padding-top:80px;margin-top:-80px;">
<div class="section-title">
<h2>Workshop</h2>
</div>
<h5>Invited Speakers</h5>
<div class="row justify-content-md-center">
<div class="col-md-3">
<div class="card">
<img src="images/xingyizhou.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://www.cs.utexas.edu/~zhouxy/">Xingyi Zhou</a> </span>
<span class="date-read">Google Research</span>
</div>
</div>
</div>
<div class="col-md-3">
<div class="card">
<img src="images/fisheryu.jpg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://www.yf.io/">Fisher Yu</a> </span>
<span class="date-read">ETH Zürich</span>
</div>
</div>
</div>
<!-- <div class="col-md-3">-->
<!-- <div class="card">-->
<!-- <img src="images/Laura.jpeg" width="100%"/>-->
<!-- <div class="post-meta">-->
<!-- <span class="d-block"><a href="https://dvl.in.tum.de/team/lealtaixe/">Laura Leal-Taixé</a> </span>-->
<!-- <span class="date-read">The Technical University of Munich</span>-->
<!-- </div>-->
<!-- </div>-->
<!-- </div>-->
</div>
<h5>Workshop Schedule</h5>
<p><b>October 24<sup>th</sup>, 9:00 am - 13:00 pm(UTC+3)</b></p>
<div class="trend-entry d-flex">
<table align="center" class="table table-hover">
<thead>
<tr>
<th scope="col" width="16%"> Time </th>
<th scope="col" width="30%"> Speaker</th>
<th scope="col"> Topic</th>
</tr>
</thead>
<tbody>
<tr>
<td>9:00-9:10 am</td>
<td>Organizers</td>
<td>Welcome </td>
</tr>
<tr>
<td>9:10-9:40 am</td>
<td>Invited speaker 1</td>
<td>Recognizing objects in long time and in a large-vocabulary</td>
</tr>
<tr>
<td>9:40-10:10 am </td>
<td>YouTubeVIS:Long Video winners teams</td>
<td>Solutions for 4th YouTubeVIS and Long Video Instance Segmentation Challenge</td>
</tr>
<tr>
<td>10:10-10:40 am </td>
<td>Invited speaker 2</td>
<td>Learning Robust Multiple Object Tracking and Segmentation</td>
</tr>
<tr>
<td>10:40-11:10 am </td>
<td>OVIS winners teams</td>
<td>Solutions for 2nd Occluded Video Instance Segmentation Challenge</td>
</tr>
<tr>
<td>11:10-11:20 am </td>
<td>Organizers</td>
<td>Break</td>
</tr>
<tr>
<td>11:20-11:50 am </td>
<td>DanceTrack winners teams</td>
<td>Solutions for 1st Multiple People Tracking in Group Dance Challenge</td>
</tr>
<tr>
<td>11:50-12:20 pm </td>
<td>UVO winners teams</td>
<td>Solutions for 2nd Open-World Video Object Detection and Segmentation Challenge</td>
</tr>
<tr>
<td>12:20-13:00 pm</td>
<td>Organizers</td>
<td>Closing</td>
</tr>
<tr>
<td> </td>
<td> </td>
<td> </td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="col-lg-12" id="people" style="padding-top:80px;margin-top:-80px;">
<div class="section-title">
<h2>Organizers</h2>
</div>
<div class="row justify-content-md-center">
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/peizesun.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://peizesun.github.io/">Peize Sun</a> </span>
<span class="date-read">The University of Hong Kong</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/jiangyi_cropped.jpg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="">Yi Jiang</a> </span>
<span class="date-read">Bytedance Research</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/jinkuncao.jpg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="http://www.jinkuncao.com/">Jinkun Cao</a> </span>
<span class="date-read">Carnegie Mellon University</span>
</div>
</div>
</div>
<!-- </div> -->
<!-- <div class="row justify-content-md-center"> -->
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/yifuzhang_cropped.jpg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://ifzhang.github.io/">Yifu Zhang</a> </span>
<span class="date-read">Baidu Research</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/songbai_cropped.png" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="http://songbai.site/">Song Bai</a> </span>
<span class="date-read">Bytedance Research</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/xinchaowang.png" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://sites.google.com/site/sitexinchaowang/">Xinchao Wang</a> </span>
<span class="date-read">National University of Singapore</span>
</div>
</div>
</div>
</div>
<div class="row justify-content-md-center">
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/LinjieYang.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://sites.google.com/site/linjieyang89/">Linjie Yang</a> </span>
<span class="date-read">Bytedance Research</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/NingXu.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://sites.google.com/view/ningxu/">Ning Xu</a> </span>
<span class="date-read">Adobe Research</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/YangFu.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://oasisyang.github.io/">Yang Fu</a> </span>
<span class="date-read">University of Illinois Urbana-Champaign</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/YuchenFan.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://ychfan.github.io/">Yuchen Fan</a> </span>
<span class="date-read">University of Illinois Urbana-Champaign</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/Weiyao.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://scholar.google.com/citations?user=d1-hNQoAAAAJ&hl=en">Weiyao Wang</a> </span>
<span class="date-read">Facebook Research</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/Tarun.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://tarun005.github.io/">Tarun Kalluri</a> </span>
<span class="date-read">University of California San Diego</span>
</div>
</div>
</div>
</div>
<!-- <div class="col-lg-12" id="committee"> -->
<!-- <div class="section-title">
<h2>Committee</h2>
</div> -->
<div class="row justify-content-md-center">
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/hengwang.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://hengcv.github.io/">Heng Wang</a> </span>
<span class="date-read">Bytedance Research</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/DuTran.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://dutran.github.io/">Du Tran</a> </span>
<span class="date-read">Facebook Research</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/xw.png" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://xinggangw.info/index.htm">Xinggang Wang</a> </span>
<span class="date-read">Huazhong University of Science and Technology</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/pingluo.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="http://luoping.me/">Ping Luo</a> </span>
<span class="date-read">The University of Hong Kong</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/kitani_kris_cropped.jpg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="http://www.cs.cmu.edu/~kkitani/">Kris Kitani</a> </span>
<span class="date-read">Carnegie Mellon University</span>
</div>
</div>
</div>
<div class="col-md-3" style="margin-left:-50px;margin-right:-50px">
<div class="card">
<img src="images/PhilipTorr.jpeg" width="100%"/>
<div class="post-meta">
<span class="d-block"><a href="https://www.robots.ox.ac.uk/~phst/">Philip H.S. Torr</a> </span>
<span class="date-read">University of Oxford</span>
</div>
</div>
</div>
</div>
</div>
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