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UID:lj6nckur3pb5jaa0947pm3kh78@google.com
CATEGORIES:RTportal.ru
CREATED:20170606T092329
SUMMARY:Second Christmas Colloquium on Computer Vision
LOCATION:Skolkovo, “Technopark” office center, Mendeleev Quarter, Building 3
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:Second Christmas Colloquium on Computer Vision\n\nWednesday, 28 December 20
 16, full day starting at 10:30\n\nCenter for Data-Intensive Science and Eng
 ineering (CDISE) of Skoltech invites you to the colloquium, where 11 resear
 chers will present their recent works published at top-level conferences.\n
 Registration required, please fill in this form.\n\nVenue: Skolkovo, “Techn
 opark” office center, Mendeleev Quarter, Building 3.\nBuses from “Slavyansk
 y Boulevard” will be provided (before and after the event).\n\nHow to get t
 o Skolkovo (on your own)\nOnce arriving at the Skolkovo Parking, you need t
 o take the internal shuttle to Technopark. Technopark is a complex of four 
 buildings, the colloquium will be in the dark blue one.\n“Emergency” phone:
  +7 916 391 47 73 (Victor Lempitsky)\n\nCONFIRMED SPEAKERS:\nAlexey Dosovit
 sky (Intel / Freiburg University): Up-convolutional networks and their appl
 ications\nVadim Kantorov (INRIA/Ecole Normale Paris): ContextLocNet: Contex
 t-aware Deep Network Models\nfor Weakly Supervised Localization\nAlina Kuzn
 etsova (Google): Incremental learning framework for object detection in vid
 eos\nEkaterina Lobacheva (Higher School of Economics): Deep Part-Based Gene
 rative Shape Model with Latent Variables\nAnton Osokin (INRIA/Ecole Normale
  Paris): Tube-CNN for Person Detection in Video\nVladimir Paramonov (Samsun
 g): Depth Camera Based on Color-Coded Aperture\nVasili Ramanishka (Boston U
 niversity): Multimodal Video Description and Caption-Guided Visual Saliency
 \nNikolay Savinov (ETH Zurich): Ray Potentials for Dense Semantic 3D Recons
 truction\nTatiana Shpakova (INRIA/Ecole Normale Paris): Parameter Learning 
 for Log-supermodular Distributions\nMaxim Tatarchenko (Freiburg University)
 : Multi-view 3D Models from Single Images with a Convolutional Network\nAle
 xander Vakhitov (Skoltech): Camera Pose Estimation from Line and Point Corr
 espondences\nSponsored by:\n visionlabs-gorizont\nThe meeting is also suppo
 rted by the Ministry of Education and Science grant RFMEFI61516X0003.\n\nTh
 e 1st Colloquium webpage can be found here.\n\nSee you at Skoltech! This ev
 ent was imported from: https://rtportal.ru/index.php/kalendar-sobytij/event
 detail/203/-/second-christmas-colloquium-on-computer-vision?tmpl=component
DTSTAMP:20260812T191859Z
DTSTART;TZID=Europe/Moscow:20161228T103000
DTEND;TZID=Europe/Moscow:20161228T200000
SEQUENCE:0
TRANSP:OPAQUE
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