Max Mehltretter

According to our database, Max Mehltretter authored at least 14 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Semantic Segmentation of Textured Non-manifold 3D Meshes using Transformers.

Mohammadreza Heidarianbaei, Max Mehltretter, Franz Rottensteiner

CoRR, April, 2026

Open-Vocabulary Semantic Segmentation in Remote Sensing via Hierarchical Attention Masking and Model Composition.

Mohammadreza Heidarianbaei, Mareike Dorozynski, Hubert Kanyamahanga, Max Mehltretter, Franz Rottensteiner

CoRR, February, 2026

2025

CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation.

Samer Abualhanud, Christian Grannemann, Max Mehltretter

CoRR, November, 2025

2024

Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation.

Hanieh Shojaei, Qianqian Zou, Max Mehltretter

CoRR, 2024

Depth-aware Panoptic Segmentation.

Tuan Nguyen, Max Mehltretter, Franz Rottensteiner

CoRR, 2024

Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications.

Markus Hillemann, Robert Langendörfer, Max Heiken, Max Mehltretter, Andreas Schenk, Martin Weinmann, Stefan Hinz, Christian Heipke, Markus Ulrich

CoRR, 2024

Image-based Deep Learning for the time-dependent prediction of fresh concrete properties.

Max Meyer, Amadeus Langer, Max Mehltretter, Dries Beyer, Max Coenen, Tobias Schack, Michael Haist, Christian Heipke

CoRR, 2024

Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation.

Hanieh Shojaei Miandashti, Qianqian Zou, Max Mehltretter

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2021

Uncertainty estimation for dense stereo matching using Bayesian deep learning.

Max Mehltretter

PhD thesis, 2021

2020

Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning.

Max Mehltretter

CoRR, 2020

2019

CNN-Based Cost Volume Analysis as Confidence Measure for Dense Matching.

Max Mehltretter, Christian Heipke

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

GPU-enhanced Multimodal Dense Matching.

Nicolai Behmann, Max Mehltretter, Sebastian P. Kleinschmidt, Bernardo Wagner, Christian Heipke, Holger Blume

Proceedings of the 2018 IEEE Nordic Circuits and Systems Conference, 2018

Multimodal Dense Stereo Matching.

Max Mehltretter, Sebastian P. Kleinschmidt, Bernardo Wagner, Christian Heipke

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2015

A method for automatic situation recognition in collaborative multiplayer Serious Games.

Viktor Wendel, Marc-André Bär, Robert Hahn, Benedict Jahn, Max Mehltretter, Stefan Göbel, Ralf Steinmetz

EAI Endorsed Trans. Serious Games, 2015