297 citations · 2k across the 123 of their papers we have counts for
7 papers · 2 filters
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang +4
In this paper, we propose a deep learning architecture that produces accurate dense depth for the outdoor scene from a single color image and a sparse depth. Inspired by the indoor…
DGC-Net: Dense Geometric Correspondence Network
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler +3
This paper addresses the challenge of dense pixel correspondence estimation between two images. This problem is closely related to optical flow estimation task where ConvNets (CNNs…
SurfelMeshing: Online Surfel-Based Mesh Reconstruction
Thomas Schöps, Torsten Sattler, Marc Pollefeys
We address the problem of mesh reconstruction from live RGB-D video, assuming a calibrated camera and poses provided externally (e.g., by a SLAM system). In contrast to most existi…
Night-to-Day Image Translation for Retrieval-based Localization
Asha Anoosheh, Torsten Sattler, Radu Timofte +2
Visual localization is a key step in many robotics pipelines, allowing the robot to (approximately) determine its position and orientation in the world. An efficient and scalable a…
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee +5
Surface reconstruction is a vital tool in a wide range of areas of medical image analysis and clinical research. Despite the fact that many methods have proposed solutions to the r…
Hybrid Scene Compression for Visual Localization
Federico Camposeco, Andrea Cohen, Marc Pollefeys +1
Localizing an image wrt. a 3D scene model represents a core task for many computer vision applications. An increasing number of real-world applications of visual localization on mo…