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Martin Sundermeyer
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2020 – today
- 2024
- [c29]Tomas Hodan, Martin Sundermeyer, Yann Labbé, Van Nguyen Nguyen, Gu Wang, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Jiri Matas:
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. CVPR Workshops 2024: 5610-5619 - [c28]Yongliang Lin, Yongzhi Su, Praveen Nathan, Sandeep Inuganti, Yan Di, Martin Sundermeyer, Fabian Manhardt, Didier Stricker, Jason R. Rambach, Yu Zhang:
HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation. CVPR 2024: 10148-10158 - [i14]Tomas Hodan, Martin Sundermeyer, Yann Labbé, Van Nguyen Nguyen, Gu Wang, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Jiri Matas:
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. CoRR abs/2403.09799 (2024) - 2023
- [j3]Maximilian Denninger, Dominik Winkelbauer, Martin Sundermeyer, Wout Boerdijk, Markus Knauer, Klaus H. Strobl, Matthias Humt, Rudolph Triebel:
BlenderProc2: A Procedural Pipeline for Photorealistic Rendering. J. Open Source Softw. 8(83): 4901 (2023) - [c27]Martin Sundermeyer, Tomás Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, Jirí Matas:
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. CVPR Workshops 2023: 2785-2794 - [c26]Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel:
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. IROS 2023: 10749-10756 - [i13]Martin Sundermeyer, Tomas Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, Jiri Matas:
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. CoRR abs/2302.13075 (2023) - [i12]Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel:
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. CoRR abs/2303.13241 (2023) - [i11]Yongliang Lin, Yongzhi Su, Praveen Nathan, Sandeep Inuganti, Yan Di, Martin Sundermeyer, Fabian Manhardt, Didier Stricker, Jason R. Rambach, Yu Zhang:
HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation. CoRR abs/2311.12588 (2023) - 2022
- [c25]Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel:
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects. CVPR 2022: 6845-6855 - [i10]Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel:
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects. CoRR abs/2203.05334 (2022) - [i9]Manuel Stoiber, Martin Sundermeyer, Wout Boerdijk, Rudolph Triebel:
A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures. CoRR abs/2208.01502 (2022) - 2021
- [c24]Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. ICRA 2021: 10160-10167 - [c23]Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox:
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. ICRA 2021: 13438-13444 - [c22]Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltán-Csaba Márton, Rudolph Triebel:
Unknown Object Segmentation from Stereo Images. IROS 2021: 4823-4830 - [i8]Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltan-Csaba Marton, Rudolph Triebel:
Unknown Object Segmentation from Stereo Images. CoRR abs/2103.06796 (2021) - [i7]Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox:
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. CoRR abs/2103.14127 (2021) - 2020
- [j2]Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel:
Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection. Int. J. Comput. Vis. 128(3): 714-729 (2020) - [c21]Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRL 2020: 1231-1245 - [c20]Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai O. Arras, Rudolph Triebel:
Multi-Path Learning for Object Pose Estimation Across Domains. CVPR 2020: 13913-13922 - [c19]Tomás Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas:
BOP Challenge 2020 on 6D Object Localization. ECCV Workshops (2) 2020: 577-594 - [i6]Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRR abs/2002.04487 (2020) - [i5]Tomas Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas:
BOP Challenge 2020 on 6D Object Localization. CoRR abs/2009.07378 (2020) - [i4]Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. CoRR abs/2011.03279 (2020)
2010 – 2019
- 2019
- [i3]Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel:
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. CoRR abs/1902.01275 (2019) - [i2]Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Rudolph Triebel:
Multi-path Learning for Object Pose Estimation Across Domains. CoRR abs/1908.00151 (2019) - [i1]Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam:
BlenderProc. CoRR abs/1911.01911 (2019) - 2018
- [c18]Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel:
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. ECCV (6) 2018: 712-729 - [c17]Manuel Brucker, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Martin Sundermeyer, Rudolph Triebel:
6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data. ISER 2018: 675-684 - 2016
- [b1]Martin Sundermeyer:
Improvements in language and translation modeling. RWTH Aachen University, Germany, 2016 - 2015
- [j1]Martin Sundermeyer, Hermann Ney, Ralf Schlüter:
From Feedforward to Recurrent LSTM Neural Networks for Language Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 517-529 (2015) - [c16]Rami Botros, Kazuki Irie, Martin Sundermeyer, Hermann Ney:
On efficient training of word classes and their application to recurrent neural network language models. INTERSPEECH 2015: 1443-1447 - 2014
- [c15]Martin Sundermeyer, Tamer Alkhouli, Joern Wuebker, Hermann Ney:
Translation Modeling with Bidirectional Recurrent Neural Networks. EMNLP 2014: 14-25 - [c14]Martin Sundermeyer, Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Lattice decoding and rescoring with long-Span neural network language models. INTERSPEECH 2014: 661-665 - [c13]Martin Sundermeyer, Ralf Schlüter, Hermann Ney:
rwthlm - the RWTH aachen university neural network language modeling toolkit. INTERSPEECH 2014: 2093-2097 - 2013
- [c12]Martin Sundermeyer, Ilya Oparin, Jean-Luc Gauvain, B. Freiberg, Ralf Schlüter, Hermann Ney:
Comparison of feedforward and recurrent neural network language models. ICASSP 2013: 8430-8434 - 2012
- [c11]Ilya Oparin, Martin Sundermeyer, Hermann Ney, Jean-Luc Gauvain:
Performance analysis of Neural Networks in combination with n-gram language models. ICASSP 2012: 5005-5008 - [c10]Jesús Andrés-Ferrer, Martin Sundermeyer, Hermann Ney:
Conditional leaving-one-out and cross-validation for discount estimation in Kneser-Ney-like extensions. ICASSP 2012: 5013-5016 - [c9]Zoltán Tüske, Ralf Schlüter, Hermann Ney, Martin Sundermeyer:
Context-Dependent MLPs for LVCSR: TANDEM, Hybrid or Both? INTERSPEECH 2012: 18-21 - [c8]Martin Sundermeyer, Ralf Schlüter, Hermann Ney:
LSTM Neural Networks for Language Modeling. INTERSPEECH 2012: 194-197 - 2011
- [c7]Martin Sundermeyer, Markus Nußbaum-Thom, Simon Wiesler, Christian Plahl, Amr El-Desoky Mousa, Stefan Hahn, David Nolden, Ralf Schlüter, Hermann Ney:
The RWTH 2010 Quaero ASR evaluation system for English, French, and German. ICASSP 2011: 2212-2215 - [c6]Martin Sundermeyer, Ralf Schlüter, Hermann Ney:
On the Estimation of Discount Parameters for Language Model Smoothing. INTERSPEECH 2011: 1433-1436 - [c5]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, Ralf Schlüter, Tanja Schultz, Thiago Fraga-Silva, Sebastian Stüker, Martin Sundermeyer, Bianca Vieru, Ngoc Thang Vu, Alex Waibel, Cécile Woehrling:
Speech recognition for machine translation in Quaero. IWSLT 2011: 121-128 - 2010
- [c4]Volker Steinbiss, Martin Sundermeyer, Hermann Ney:
Direct observation of pruning errors (DOPE): a search analysis tool. INTERSPEECH 2010: 214-217 - [c3]Markus Nußbaum-Thom, Simon Wiesler, Martin Sundermeyer, Christian Plahl, Stefan Hahn, Ralf Schlüter, Hermann Ney:
The RWTH 2009 quaero ASR evaluation system for English and German. INTERSPEECH 2010: 1517-1520
2000 – 2009
- 2009
- [c2]Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl:
Relevance Feedback for the Earth Mover's Distance. Adaptive Multimedia Retrieval 2009: 72-86 - [c1]Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl:
Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance. CIKM 2009: 1621-1624
Coauthor Index
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last updated on 2024-10-11 17:29 CEST by the dblp team
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