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<rss version="2.0"><channel><description>The official account for the Computer Vision and Learning systems (CVL) at Linköping University, Sweden.</description><link>https://bsky.app/profile/liucvl.bsky.social</link><title>@liucvl.bsky.social - Computer Vision and Learning systems (CVL), Linköping</title><item><link>https://bsky.app/profile/liucvl.bsky.social/post/3mk33fhfkqk2m</link><description>https://www.linkedin.com/posts/matej-kristan-247bb52b_vots-vot-trackingbysegmentation-activity-7450452271945023488-56ER?utm_source=li_share&amp;utm_content=feedcontent&amp;utm_medium=g_dt_web&amp;utm_campaign=copy</description><pubDate>22 Apr 2026 08:30 +0000</pubDate><guid isPermaLink="false">at://did:plc:v6w4libwqof7uh52ajnnz7vl/app.bsky.feed.post/3mk33fhfkqk2m</guid></item><item><link>https://bsky.app/profile/liucvl.bsky.social/post/3migjxc3li22g</link><description>ELLIS Unit Sweden Granted&#xA;The ELLIS Unit Sweden has been granted and will be directed by Danica Kragic, KTH.&#xA;Michael Felsberg, Linköping University, will serve as the unit’s Co-Director.&#xA;Further information about the ELLIS Unit Sweden will be updated on the following page ellis.eu/research/sites&#xA;https://ellis.eu/research/sites</description><pubDate>01 Apr 2026 10:59 +0000</pubDate><guid isPermaLink="false">at://did:plc:v6w4libwqof7uh52ajnnz7vl/app.bsky.feed.post/3migjxc3li22g</guid></item><item><link>https://bsky.app/profile/liucvl.bsky.social/post/3mdzlmeuysc2f</link><description>Accepted paper at ICLR 2026&#xA; &#xA;QuaMo: Quaternion Motions for Vision-based 3D Human Kinematics Capture&#xA;The paper is now publicly available at: arxiv.org/pdf/2601.19580                                               The implementation can be found here: https://github.com/cuongle1206/QuaMo&#xA;https://arxiv.org/pdf/2601.19580</description><pubDate>04 Feb 2026 09:43 +0000</pubDate><guid isPermaLink="false">at://did:plc:v6w4libwqof7uh52ajnnz7vl/app.bsky.feed.post/3mdzlmeuysc2f</guid></item><item><link>https://bsky.app/profile/liucvl.bsky.social/post/3mcjo6qpnak2n</link><description>New name!&#xA;&#xA;Computer Vision Laboratory is now Computer Vision and Learning systems, the acronym remains as &#34;CVL&#34;. 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