Relevance Feedback for the Earth Mover's Distance. - Marc Wichterich; Christian Beecks; Martin Sundermeyer; Thomas Seidl 001 (Adaptive Multimedia Retrieval, 2009)

Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance. - Marc Wichterich; Christian Beecks; Martin Sundermeyer; Thomas Seidl 001 (CIKM, 2009)

The RWTH 2009 quaero ASR evaluation system for English and German. - Markus Nußbaum-Thom; Simon Wiesler; Martin Sundermeyer; Christian Plahl; Stefan Hahn; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2010)

Direct observation of pruning errors (DOPE): a search analysis tool. - Volker Steinbiss; Martin Sundermeyer; Hermann Ney (INTERSPEECH, 2010)

The RWTH 2010 Quaero ASR evaluation system for English, French, and German. - Martin Sundermeyer; Markus Nußbaum-Thom; Simon Wiesler; Christian Plahl; Amr El-Desoky Mousa; Stefan Hahn; David Nolden; Ralf Schlüter; Hermann Ney (ICASSP, 2011)

On the Estimation of Discount Parameters for Language Model Smoothing. - Martin Sundermeyer; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2011)

Speech recognition for machine translation in Quaero. - Lori Lamel; Sandrine Courcinous; Julien Despres; Jean-Luc Gauvain; Yvan Josse; Kevin Kilgour; Florian Kraft; Viet Bac Le; Hermann Ney; Markus Nußbaum-Thom; Ilya Oparin; Tim Schlippe; et al. (IWSLT, 2011)

Conditional leaving-one-out and cross-validation for discount estimation in Kneser-Ney-like extensions. - Jesús Andrés-Ferrer; Martin Sundermeyer; Hermann Ney (ICASSP, 2012)

Performance analysis of Neural Networks in combination with n-gram language models. - Ilya Oparin; Martin Sundermeyer; Hermann Ney; Jean-Luc Gauvain (ICASSP, 2012)

LSTM Neural Networks for Language Modeling. - Martin Sundermeyer; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2012)

Context-Dependent MLPs for LVCSR: TANDEM, Hybrid or Both? - Zoltán Tüske; Ralf Schlüter; Hermann Ney; Martin Sundermeyer (INTERSPEECH, 2012)

Comparison of feedforward and recurrent neural network language models. - Martin Sundermeyer; Ilya Oparin; Jean-Luc Gauvain; B. Freiberg; Ralf Schlüter; Hermann Ney (ICASSP, 2013)

Translation Modeling with Bidirectional Recurrent Neural Networks. - Martin Sundermeyer; Tamer Alkhouli; Joern Wuebker; Hermann Ney (EMNLP, 2014)

rwthlm - the RWTH aachen university neural network language modeling toolkit. - Martin Sundermeyer; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2014)

Lattice decoding and rescoring with long-Span neural network language models. - Martin Sundermeyer; Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2014)

On efficient training of word classes and their application to recurrent neural network language models. - Rami Botros; Kazuki Irie; Martin Sundermeyer; Hermann Ney (INTERSPEECH, 2015)

From Feedforward to Recurrent LSTM Neural Networks for Language Modeling. - Martin Sundermeyer; Hermann Ney; Ralf Schlüter (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Improvements in language and translation modeling. - Martin Sundermeyer (2016)

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)

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)

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

BlenderProc. - Maximilian Denninger; Martin Sundermeyer; Dominik Winkelbauer; Youssef Zidan; Dmitry Olefir; Mohamad Elbadrawy; Ahsan Lodhi; Harinandan Katam (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)

BOP Challenge 2020 on 6D Object Localization. - Tomás Hodan; Martin Sundermeyer; Bertram Drost; Yann Labbé; Eric Brachmann; Frank Michel 002; Carsten Rother; Jiri Matas (ECCV Workshops (2), 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)

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

Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. - Martin Sundermeyer; Arsalan Mousavian; Rudolph Triebel; Dieter Fox (ICRA, 2021)

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

Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects. - Manuel Stoiber; Martin Sundermeyer; Rudolph Triebel (CVPR, 2022)

A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures. - Manuel Stoiber; Martin Sundermeyer; Wout Boerdijk; Rudolph Triebel (CoRR, 2022)

BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. - Martin Sundermeyer; Tomás Hodan; Yann Labbé; Gu Wang 001; Eric Brachmann; Bertram Drost; Carsten Rother; Jirí Matas (CVPR Workshops, 2023)

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

BlenderProc2: A Procedural Pipeline for Photorealistic Rendering. - Maximilian Denninger; Dominik Winkelbauer; Martin Sundermeyer; Wout Boerdijk; Markus Knauer; Klaus H. Strobl; Matthias Humt; Rudolph Triebel (J. Open Source Softw., 2023)

BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. - Tomas Hodan; Martin Sundermeyer; Yann Labbé; Van Nguyen Nguyen; Gu Wang 001; Eric Brachmann; Bertram Drost; Vincent Lepetit; Carsten Rother; Jiri Matas (CVPR Workshops, 2024)

HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation. - Yongliang Lin; Yongzhi Su; Praveen Nathan; Sandeep Inuganti; Yan Di; Martin Sundermeyer; Fabian Manhardt; Didier Stricker; Jason R. Rambach; Yu Zhang 018 (CVPR, 2024)

Towards Real-Time Open-Vocabulary Video Instance Segmentation. - Bin Yan 004; Martin Sundermeyer; David Joseph Tan; Huchuan Lu; Federico Tombari (WACV, 2025)

BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation. - Van Nguyen Nguyen; Stephen Tyree; Andrew Guo; Mederic Fourmy; Anas Gouda; Taeyeop Lee; Sungphill Moon; Hyeontae Son; Lukas Ranftl; Jonathan Tremblay; Eric Brachmann; Bertram Drost; et al. (CoRR, 2025)

XYZ-IBD: A High-precision Bin-picking Dataset for Object 6D Pose Estimation Capturing Real-world Industrial Complexity. - Junwen Huang; Jizhong Liang; Jiaqi Hu; Martin Sundermeyer; Peter KT Yu; Nassir Navab; Benjamin Busam (CoRR, 2025)