Active classifier selection for RGB-D object categorization using a Markov random field ensemble method. - Maximilian Durner; Zoltan Csaba Marton; Ulrich Hillenbrand; Haider Ali; Martin Kleinsteuber (ICMV, 2016)

Storing and retrieving perceptual episodic memories for long-term manipulation tasks. - Ferenc Balint-Benczedi; Zoltan-Csaba Marton; Maximilian Durner; Michael Beetz (ICAR, 2017)

Experience-based optimization of robotic perception. - Maximilian Durner; Simon Kriegel; Sebastian Riedel 002; Manuel Brucker; Zoltan-Csaba Marton; Ferenc Balint-Benczedi; Rudolph Triebel (ICAR, 2017)

Selecting CNN features for online learning of 3D objects. - Monika Ullrich; Haider Ali; Maximilian Durner; Zoltan-Csaba Marton; Rudolph Triebel (IROS, 2017)

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. - Martin Sundermeyer; Zoltan-Csaba Marton; Maximilian Durner; Manuel Brucker; Rudolph Triebel (ECCV (6), 2018)

Semantic Labeling of Indoor Environments from 3D RGB Maps. - Manuel Brucker; Maximilian Durner; Rares Ambrus; Zoltan Csaba Marton; Axel Wendt; Patric Jensfelt; Kai Oliver Arras; Rudolph Triebel (ICRA, 2018)

6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data. - Manuel Brucker; Maximilian Durner; Zoltán-Csaba Márton; Ferenc Bálint-Benczédi; Martin Sundermeyer; Rudolph Triebel (ISER, 2018)

Simultaneous Calibration and Mapping. - Christian Nissler; Maximilian Durner; Zoltán-Csaba Márton; Rudolph Triebel (ISER, 2018)

Visual Repetition Sampling for Robot Manipulation Planning. - En Yen Puang; Peter Lehner; Zoltan-Csaba Marton; Maximilian Durner; Rudolph Triebel; Alin Albu-Schäffer (ICRA, 2019)

Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks. - Jianxiang Feng; Maximilian Durner; Zoltán-Csaba Márton; Ferenc Bálint-Benczédi; Rudolph Triebel (ISRR, 2019)

Multi-path Learning for Object Pose Estimation Across Domains. - Martin Sundermeyer; Maximilian Durner; En Yen Puang; Zoltan-Csaba Marton; Rudolph Triebel (CoRR, 2019)

Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. - Wout Boerdijk; Martin Sundermeyer; Maximilian Durner; Rudolph Triebel (CoRL, 2020)

Multi-Path Learning for Object Pose Estimation Across Domains. - Martin Sundermeyer; Maximilian Durner; En Yen Puang; Zoltan-Csaba Marton; Narunas Vaskevicius; Kai O. Arras; Rudolph Triebel (CVPR, 2020)

Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection. - Martin Sundermeyer; Zoltan-Csaba Marton; Maximilian Durner; Rudolph Triebel (Int. J. Comput. Vis., 2020)

Pattern Recognition for Knowledge Transfer in Robotic Assembly Sequence Planning. - Ismael Rodríguez; Korbinian Nottensteiner; Daniel Leidner; Maximilian Durner; Freek Stulp; Alin Albu-Schäffer (IEEE Robotics Autom. Lett., 2020)

The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration. - Martin J. Schuster; Marcus Gerhard Müller; Sebastian G. Brunner; Hannah Lehner; Peter Lehner; Ryo Sakagami; Andreas Dömel; Lukas Meyer; Bernhard Vodermayer; Riccardo Giubilato; Mallikarjuna Vayugundla; Josef Reill; et al. (IEEE Robotics Autom. Lett., 2020)

Searching for Objects in Human Living Environments based on Relevant Inferred and Mined Priors. - Alejandra C. Hernández; Maximilian Durner; Clara Gómez; Iris Lynne Grixa; Oskars Teikmanis; Zoltan-Csaba Marton; Ramón Barber (ECMR, 2021)

"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. - Wout Boerdijk; Martin Sundermeyer; Maximilian Durner; Rudolph Triebel (ICRA, 2021)

Unknown Object Segmentation from Stereo Images. - Maximilian Durner; Wout Boerdijk; Martin Sundermeyer; Werner Friedl; Zoltán-Csaba Márton; Rudolph Triebel (IROS, 2021)

A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments. - Marcus Gerhard Müller; Maximilian Durner; Abel Gawel; Wolfgang Stürzl; Rudolph Triebel; Roland Siegwart (IROS, 2021)

Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning. - Jianxiang Feng; Jongseok Lee; Maximilian Durner; Rudolph Triebel (CoRR, 2021)

Bayesian Active Learning for Sim-to-Real Robotic Perception. - Jianxiang Feng; Jongseok Lee; Maximilian Durner; Rudolph Triebel (IROS, 2022)

Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. - Matan Atad; Jianxiang Feng; Ismael Rodríguez; Maximilian Durner; Rudolph Triebel (IROS, 2023)

6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. - Maximilian Ulmer; Maximilian Durner; Martin Sundermeyer; Manuel Stoiber; Rudolph Triebel (IROS, 2023)

Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly. - Jianxiang Feng; Matan Atad; Ismael Rodríguez; Maximilian Durner; Stephan Günnemann; Rudolph Triebel (CoRR, 2023)

Unknown Object Grasping for Assistive Robotics. - Elle Miller; Maximilian Durner; Matthias Humt; Gabriel Quere; Wout Boerdijk; Ashok M. Sundaram; Freek Stulp; Jörn Vogel (ICRA, 2024)

How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit? - Maximilian Ulmer; Leonard Klüpfel; Maximilian Durner; Rudolph Triebel (CoRR, 2024)

Seeing Through Uncertainty: Robot Pose Estimation Based on Imperfect Prior Kinematic Knowledge. - Leonard Klüpfel; Lukas Burkhard; Anne E. Reichert; Maximilian Durner; Rudolph Triebel (IEEE Trans. Robotics, 2025)

Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation. - Maximilian Ulmer; Wout Boerdijk; Rudolph Triebel; Maximilian Durner (CoRR, 2025)