Leonard Bruns

23 papers A* 1A 2C 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training.
CoRR
Leonard Bruns, Axel Barroso-Laguna, Tommaso Cavallari, Áron Monszpart, Sowmya Munukutla, Victor Adrian Prisacariu, Eric Brachmann
2025 — conf
Comparing Singing Lessons in Mixed Reality, Video, and In-Person.
IS2
Leonard Bruns, Benedict Saurbier, Tray Minh Voong, Wiebke Blume, Tobias Rotsch, Michael Oehler
2025 — conf
Effects of Instructional Modality on Performance Anxiety and Stress in Sight-Singing.
IS2
Michael Oehler, Leonard Bruns, Benedict Saurbier, Tray Minh Voong
2025 — conf
Impact of Spatial and Communication Environments on Collaborative Music-Making in Virtual Reality: Insights for Music Education.
VR Workshops
Michael Oehler, Leonard Bruns, Benedict Saurbier, Tray Minh Voong
2025 A conf
Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration.
WACV
Leonard Bruns, Jun Zhang, Patric Jensfelt
2025 J jnl
Visible Structure Retrieval for Lightweight Image-Based Relocalisation.
CoRR
Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt
2024 A conf
Conditional Variational Autoencoders for Probabilistic Pose Regression.
IROS
Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt
2024 J jnl
Conditional Variational Autoencoders for Probabilistic Pose Regression.
CoRR
Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt
2024 J jnl
Neural Graph Mapping for Dense SLAM with Efficient Loop Closure.
CoRR
Leonard Bruns, Jun Zhang, Patric Jensfelt
2024 — conf
Presence and Flow in Virtual and Mixed Realities for Music-Related Educational Settings.
IS2
Leonard Bruns, Benedict Saurbier, Tray Minh Voong, Michael Oehler
2024 J jnl
Transitional Grid Maps: Efficient Analytical Inference of Dynamic Environments under Limited Sensing.
CoRR
José Manuel Gaspar Sánchez, Leonard Bruns, Jana Tumova, Patric Jensfelt, Martin Törngren
2023 A* conf
A Probabilistic Framework for Visual Localization in Ambiguous Scenes.
ICRA
Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt
2023 J jnl
A Probabilistic Framework for Visual Localization in Ambiguous Scenes.
CoRR
Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt
2023 J jnl
RGB-D-Based Categorical Object Pose and Shape Estimation: Methods, Datasets, and Evaluation.
CoRR
Leonard Bruns, Patric Jensfelt
2023 J jnl
RGB-D-based categorical object pose and shape estimation: Methods, datasets, and evaluation.
Robotics Auton. Syst.
Leonard Bruns, Patric Jensfelt
2022 C conf
On the Evaluation of RGB-D-Based Categorical Pose and Shape Estimation.
IAS
Leonard Bruns, Patric Jensfelt
2022 J jnl
On the Evaluation of RGB-D-based Categorical Pose and Shape Estimation.
CoRR
Leonard Bruns, Patric Jensfelt
2022 J jnl
SDF-based RGB-D Camera Tracking in Neural Scene Representations.
CoRR
Leonard Bruns, Fereidoon Zangeneh, Patric Jensfelt
2022 J jnl
SDFEst: Categorical Pose and Shape Estimation of Objects From RGB-D Using Signed Distance Fields.
IEEE Robotics Autom. Lett.
Leonard Bruns, Patric Jensfelt
2022 J jnl
SDFEst: Categorical Pose and Shape Estimation of Objects from RGB-D using Signed Distance Fields.
CoRR
Leonard Bruns, Patric Jensfelt
2021 J jnl
Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots.
IEEE Robotics Autom. Lett.
Eric Heiden, Luigi Palmieri, Leonard Bruns, Kai O. Arras, Gaurav S. Sukhatme, Sven Koenig
2020 J jnl
Dispertio: Optimal Sampling For Safe Deterministic Motion Planning.
IEEE Robotics Autom. Lett.
Luigi Palmieri, Leonard Bruns, Michael Meurer, Kai O. Arras
2019 J jnl
Dispertio: Optimal Sampling for Safe Deterministic Sampling-Based Motion Planning.
CoRR
Luigi Palmieri, Leonard Bruns, Michael Meurer, Kai Oliver Arras