Unsupervised Depth Completion with Calibrated Backprojection Layers · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2108.10531/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTUnsupervised Depth Completion with Calibrated Backprojection Layers — HN submissionhttps://news.ycombinator.com/item?id=28855455urn:hackerpapers:submission:2108.10531:28855455Wed, 13 Oct 2021 18:11:12 GMT<p>ICCV2021 oral paper improves generalization across sensor platforms</p><p>Our work &quot;Unsupervised Depth Completion with Calibrated Backprojection Layers&quot; has been accepted as an oral paper at ICCV 2021! We will be giving our talk during Session 10 (10/13 2-3 pm PST / 5-6 pm EST and 10/15 7-8 am PST / 10-11 am EST, https://www.eventscribe.net/2021/ICCV/fsPopup.asp?efp=WlJFS0tHTEMxNTgzMA%20&amp;PosterID=428697%20&amp;rnd=0.4100732&amp;mode=posterinfo). This is joint work with Stefano Soatto at the UCLA Vision Lab. In a nutshell: we propose a method for point cloud densification (from camera, IMU, range sensor) that can generalize well across different sensor platforms. The figure…</p><p>1 point; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2108.10531/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CV