activity
20212025
most citedStereo Correspondence and Reconstruction of Endoscopic Data Challenge

24 citations · 53 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction

Mariusz Trzeciakiewicz, Aleixo Cambeiro Barreiro, Niklas Gard +2

Digitalization in the construction industry has become essential, enabling centralized, easy access to all relevant information of a building. Automated systems can facilitate the…

cs.CV2024★ 4 cited

SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments

Niklas Gard, Anna Hilsmann, Peter Eisert

In this paper, we present SPVLoc, a global indoor localization method that accurately determines the six-dimensional (6D) camera pose of a query image and requires minimal scene-sp…

cs.CV2024★ 8 cited

X-maps: Direct Depth Lookup for Event-based Structured Light Systems

Wieland Morgenstern, Niklas Gard, Simon Baumann +2

We present a new approach to direct depth estimation for Spatial Augmented Reality (SAR) applications using event cameras. These dynamic vision sensors are a great fit to be paired…

cs.CV2022★ 2 cited

CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation

Niklas Gard, Anna Hilsmann, Peter Eisert

Applications in the field of augmented reality or robotics often require joint localisation and 6D pose estimation of multiple objects. However, most algorithms need one network pe…

cs.CV2022★ 10 cited

Combining Local and Global Pose Estimation for Precise Tracking of Similar Objects

Niklas Gard, Anna Hilsmann, Peter Eisert

In this paper, we present a multi-object 6D detection and tracking pipeline for potentially similar and non-textured objects. The combination of a convolutional neural network for…

cs.CV2021★ 5 cited

Zero in on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data

Maciej Janik, Niklas Gard, Anna Hilsmann +1

We present a network architecture which compares RGB images and untextured 3D models by the similarity of the represented shape. Our system is optimised for zero-shot retrieval, me…

cs.CV2021★ 24 cited

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

Max Allan, Jonathan Mcleod, Congcong Wang +21

The stereo correspondence and reconstruction of endoscopic data sub-challenge was organized during the Endovis challenge at MICCAI 2019 in Shenzhen, China. The task was to perform…