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20162023
most citedMonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

166 citations · 757 across the 41 of their papers we have counts for

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Showing 2018Show all

10 papers · 1 filter

cs.CV2018★ 1 cited

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…

cs.CV2018★ 96 cited

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…

cs.CV2018

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…

cs.RO2018

Efficient 2D-3D Matching for Multi-Camera Visual Localization

Marcel Geppert, Peidong Liu, Zhaopeng Cui +2

Visual localization, i.e., determining the position and orientation of a vehicle with respect to a map, is a key problem in autonomous driving. We present a multicamera visual iner…

cs.RO2018★ 1 cited

Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras

Zhaopeng Cui, Lionel Heng, Ye Chuan Yeo +3

We present a real-time dense geometric mapping algorithm for large-scale environments. Unlike existing methods which use pinhole cameras, our implementation is based on fisheye cam…

cs.RO2018★ 12 cited

Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System

Lionel Heng, Benjamin Choi, Zhaopeng Cui +10

Project AutoVision aims to develop localization and 3D scene perception capabilities for a self-driving vehicle. Such capabilities will enable autonomous navigation in urban and ru…