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Semantic Match Consistency for Long-Term Visual Localization
(2018)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2018Conference Paper -
Augmenting crowd-sourced 3D reconstructions using semantic detections
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionImage-based 3D reconstruction for Internet photo collections has become a robust technology to produce impressive virtual representations of real-world scenes. However, several fundamental challenges remain for Structure-from-Motion (SfM) pipelines, namely: the placement and reconstruction of transient objects only observed in single views, estimating the absolute scale of the scene, and (suprisingly often) recovering ground surfaces in ...Conference Paper -
Semantic Visual Localization
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionRobust visual localization under a wide range of viewing conditions is a fundamental problem in computer vision. Handling the difficult cases of this problem is not only very challenging but also of high practical relevance, e.g., in the context of life-long localization for augmented reality or autonomous robots. In this paper, we propose a novel approach based on a joint 3D geometric and semantic understanding of the world, enabling it ...Conference Paper -
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionWe seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold. First, we develop a new large-scale visual localization method targeted for indoor environments. The method proceeds along three steps: (i) efficient retrieval of candidate poses that ensures scalability to large-scale environments, (ii) pose estimation using dense matching ...Conference Paper -
Matching neural paths: transfer from recognition to correspondence search
(2018)Advances in Neural Information Processing Systems 30Conference Paper -
Robust Dense Mapping for Large-Scale Dynamic Environments
(2018)Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA)Conference Paper -
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
(2018)Lecture Notes in Computer Science ~ Shape in Medical Imaging International Workshop, ShapeMI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, ProceedingsSurface 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 reconstruction problem, most, due to their deterministic nature, do not directly address the issue of quantifying uncertainty associated with their predictions. We remedy this by proposing a novel probabilistic deep learning approach capable of simultaneous surface ...Conference Paper -
VSO: Visual Semantic Odometry
(2018)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2018Conference Paper -
Learning Priors for Semantic 3D Reconstruction
(2018)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2018Conference Paper -
Hybrid camera pose estimation
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018)Conference Paper