Second Christmas Colloquium on Computer Vision

Wednesday, 28 December 2016, full day starting at 10:30

Center for Data-Intensive Science and Engineering (CDISE) of Skoltech invites you to the colloquium, where 11 researchers will present their recent works published at top-level conferences.
Registration required, please fill in this form.

Venue: Skolkovo, “Technopark” office center, Mendeleev Quarter, Building 3.
Buses from “Slavyansky Boulevard” will be provided (before and after the event).

How to get to Skolkovo (on your own)
Once arriving at the Skolkovo Parking, you need to take the internal shuttle to Technopark. Technopark is a complex of four buildings, the colloquium will be in the dark blue one.
“Emergency” phone: +7 916 391 47 73 (Victor Lempitsky)

CONFIRMED SPEAKERS:
Alexey Dosovitsky (Intel / Freiburg University): Up-convolutional networks and their applications
Vadim Kantorov (INRIA/Ecole Normale Paris): ContextLocNet: Context-aware Deep Network Models
for Weakly Supervised Localization
Alina Kuznetsova (Google): Incremental learning framework for object detection in videos
Ekaterina Lobacheva (Higher School of Economics): Deep Part-Based Generative Shape Model with Latent Variables
Anton Osokin (INRIA/Ecole Normale Paris): Tube-CNN for Person Detection in Video
Vladimir Paramonov (Samsung): Depth Camera Based on Color-Coded Aperture
Vasili Ramanishka (Boston University): Multimodal Video Description and Caption-Guided Visual Saliency
Nikolay Savinov (ETH Zurich): Ray Potentials for Dense Semantic 3D Reconstruction
Tatiana Shpakova (INRIA/Ecole Normale Paris): Parameter Learning for Log-supermodular Distributions
Maxim Tatarchenko (Freiburg University): Multi-view 3D Models from Single Images with a Convolutional Network
Alexander Vakhitov (Skoltech): Camera Pose Estimation from Line and Point Correspondences
Sponsored by:
visionlabs-gorizont
The meeting is also supported by the Ministry of Education and Science grant RFMEFI61516X0003.

The 1st Colloquium webpage can be found here.

See you at Skoltech!