Program

BEST PAPER AWARD:

"Learning Covariant Feature Detectors". Karel Lenc and Andrea Vedaldi

New Venue! Grand Hotel Krasnapolsky, Amsterdam

Invited speakers

Accepted papers:

gvnn: Neural Network Library for Geometric Computer Vision.

Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew Davison

On-line Large Scale Semantic Fusion.

Tommaso Cavallari and Luigi Di Stefano

Learning Covariant Feature Detectors.

Karel Lenc and Andrea Vedaldi

Scene Segmentation Driven by Deep Learning and Surface Fitting.

Ludovico Minto, Giampaolo Pagnutti, Pietro Zanuttigh

Improving Constrained Bundle Adjustment through Semantic Scene Labeling.

Achkan Salehi, Vincent Gay-bellile, Steve Bourgeois, Frederic Chausse

A CNN Cascade for Landmark Guided Semantic Part Segmentation.

Aaron S. Jackson, Michel Valstar, Georgios Tzimiropoulos

3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information.

Sungheon Park, Jihye Hwang, and Nojun Kwak

Overcoming Occlusion with Inverse Graphics.

Pol Moreno, Christopher K.I. Williams, Charlie Nash, Pushmeet Kohli

Deep Kinematic Pose Regression.

Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang, Yichen Wei

How useful is photo-realistic rendering for visual learning?

Yair Movshovitz-Attias, Takeo Kanade, Yaser Sheikh

Learning the structure of objects from web supervision.

David Novotny, Diane Larlus, Andrea Vedaldi

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels.

Abhishek Sharma, Oliver Grau, Mario Fritz

Deep Shape from A Low Number of Silhouettes.

Xinhan Di, Rozenn Dahyot, and Mukta Prasad

Deep Disentangled Representations for Volumetric Reconstruction.

Edward Grant, Pushmeet Kohli, Marcel van Gerven

Class-Specific Object Pose Estimation and Reconstruction using 3D Part Geometry.

Arun CS Kumar, Andras Bodis-Szomor, Suchendra Bhandarkar, Mukta Prasad

Monocular Surface Reconstruction using 3D Deformable Part Models.

Stefan Kinauer, Maxim Berman, Iasonas Kokkinos