output
20022025
most citedSMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

83 citations

Showing cs.CVShow all

6 papers · 1 filter

cs.CV2021★ 12 cited

Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior

Max Coenen, Franz Rottensteiner

The 3D reconstruction of objects is a prerequisite for many highly relevant applications of computer vision such as mobile robotics or autonomous driving. To deal with the inverse…

cs.CV2021★ 1 cited

Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention

Hao Cheng, Li Feng, Hailong Liu +3

Intersections where vehicles are permitted to turn and interact with vulnerable road users (VRUs) like pedestrians and cyclists are among some of the most challenging locations for…

cs.CV2021★ 2 cited

A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases

Chun Yang, Franz Rottensteiner, Christian Heipke

Land use as contained in geospatial databases constitutes an essential input for different applica-tions such as urban management, regional planning and environmental monitoring. I…

cs.CV2020★ 1 cited

Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer

Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier

Fast motion feedback is crucial in computer-aided surgery (CAS) on moving tissue. Image-assistance in safety-critical vision applications requires a dense tracking of tissue motion…

cs.CV2019

Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery

Max-Heinrich Laves, Sarah Latus, Jan Bergmeier +3

Purpose: The facial recess is a delicate structure that must be protected in minimally invasive cochlear implant surgery. Current research estimates the drill trajectory by using e…

cs.CV2017

Object Recognition from very few Training Examples for Enhancing Bicycle Maps

Christoph Reinders, Hanno Ackermann, Michael Ying Yang +1

In recent years, data-driven methods have shown great success for extracting information about the infrastructure in urban areas. These algorithms are usually trained on large data…