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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>End-to-end people detection in crowded scenes · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1506.04878/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1506.04878/feed.xml" rel="self" type="application/rss+xml" /><item><title>End-to-end people detection in crowded scenes — mentioned by DonHopkins</title><link>https://news.ycombinator.com/item?id=37187041</link><guid isPermaLink="false">urn:hackerpapers:mention:1506.04878:37187041</guid><pubDate>Sat, 19 Aug 2023 09:33:30 GMT</pubDate><description>&lt;p&gt;Video from the livestreamed web camera at the legendary BrainWash cafe/laundromat in San Francisco was collected and put into a public dataset and used for training, then later &amp;quot;This data was removed from access at the request of the depositor.&amp;quot; As facial recognition draws scrutiny nationwide, Stanford research raises questions closer to home: https://stanforddaily.com/2020/07/28/as-facial-recognition-d... &amp;gt;The camera didn’t attract much attention. &amp;gt;It was perched in a corner of San Francisco’s BrainWash cafe and offered an unobstructed sweep of the room. That’s probably why the owners placed…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1506.04878/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
