A method for automatic situation recognition in collaborative multiplayer Serious Games. - Viktor Wendel; Marc-André Bär; Robert Hahn; Benedict Jahn; Max Mehltretter; Stefan Göbel 001; Ralf Steinmetz (EAI Endorsed Trans. Serious Games, 2015)

Multimodal Dense Stereo Matching. - Max Mehltretter; Sebastian P. Kleinschmidt; Bernardo Wagner; Christian Heipke (GCPR, 2018)

GPU-enhanced Multimodal Dense Matching. - Nicolai Behmann; Max Mehltretter; Sebastian P. Kleinschmidt; Bernardo Wagner; Christian Heipke; Holger Blume (NORCAS, 2018)

CNN-Based Cost Volume Analysis as Confidence Measure for Dense Matching. - Max Mehltretter; Christian Heipke (ICCV Workshops, 2019)

Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning. - Max Mehltretter (CoRR, 2020)

Uncertainty estimation for dense stereo matching using Bayesian deep learning. - Max Mehltretter (2021)

Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation. - Hanieh Shojaei Miandashti; Qianqian Zou; Max Mehltretter (ECCV Workshops (7), 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)

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)

Depth-aware Panoptic Segmentation. - Tuan Nguyen; Max Mehltretter; Franz Rottensteiner (CoRR, 2024)

Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation. - Hanieh Shojaei; Qianqian Zou; Max Mehltretter (CoRR, 2024)