Preface

摘要

Welcome to the Proceedings for the 1st Workshop on Geometry Meets Deep Learning, held in conjunction with the European Conference on Computer Vision on October 9th 2016. The goal of this workshop is to encourage the interplay between geometric vision and deep learning. Deep learning has emerged as a common approach to learning data-driven representations. While deep learning approaches have obtained remarkable performance improvements in most 2D vision problems such as image classification and object detection, they cannot be directly applied to geometric vision problems due to the fundamental differences between 2D and 3D vision problems such as the non-Euclidean nature of geometric objects, higher dimensionality, and the lack of large-scale annotated 3D datasets. Developing integrated geometric components to improve the performances of deep neural networks is also a promising direction worth further exploration. The workshop aims to bring together experts from both 3D vision and deep learning areas to summarize the recent advances, exchange ideas, and inspire new directions.