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Sven Meier
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Journal Articles
- 2024
- [j2]Pengyuan Wang, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam:
Improving Self-Supervised Learning of Transparent Category Poses With Language Guidance and Implicit Physical Constraints. IEEE Robotics Autom. Lett. 9(9): 8114-8121 (2024) - 2023
- [j1]Reinhardt Seidel, Ben Rachinger, Nils Thielen, Konstantin Schmidt, Sven Meier, Jörg Franke:
Development and validation of a digital twin framework for SMT manufacturing. Comput. Ind. 145: 103831 (2023)
Conference and Workshop Papers
- 2024
- [c8]HyunJun Jung, Shun-Cheng Wu, Patrick Ruhkamp, Guangyao Zhai, Hannah Schieber, Giulia Rizzoli, Pengyuan Wang, Hongcheng Zhao, Lorenzo Garattoni, Daniel Roth, Sven Meier, Nassir Navab, Benjamin Busam:
HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios. CVPR 2024: 22498-22508 - [c7]Manuela Ockel, Sven Meier, O. G. Stelter, Nils Thielen, Patrick Bründl, Jörg Franke:
Implementation of a Camera System for the Application of Artificial Intelligence in Monitoring the Cold Atmospheric Plasma Spray Process. MED 2024: 579-583 - 2022
- [c6]Pengyuan Wang, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam:
CroCPS: Addressing Photometric Challenges in Self-Supervised Category-Level 6D Object Poses with Cross-Modal Learning. BMVC 2022: 390 - [c5]Pengyuan Wang, HyunJun Jung, Yitong Li, Siyuan Shen, Rahul Parthasarathy Srikanth, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam:
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects. CVPR 2022: 21190-21199 - [c4]Maximilian Schwab, Charles Madeline-Dérou, Steffen Klarmann, Nils Thielen, Sven Meier, Jörg Franke, Sandan Chintanippu, Wilhelm Stork:
Multi-Model Machine Learning based Industrial Vision Framework for Assembly Part Quality Control. ETFA 2022: 1-4 - [c3]Ahmad Byagowi, Sven Meier, Thomas Schaub, Ioannis Sotiropoulos:
Time Card and Open Time Server. ISPCS 2022: 1-6 - 2021
- [c2]Pengyuan Wang, Fabian Manhardt, Luca Minciullo, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam:
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration. IROS 2021: 5733-5740 - [c1]Luca Minciullo, Fabian Manhardt, Kei Yoshikawa, Sven Meier, Federico Tombari, Norimasa Kobori:
DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions. WACV 2021: 2938-2948
Informal and Other Publications
- 2022
- [i4]Pengyuan Wang, HyunJun Jung, Yitong Li, Siyuan Shen, Rahul Parthasarathy Srikanth, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam:
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects. CoRR abs/2205.08811 (2022) - [i3]HyunJun Jung, Shun-Cheng Wu, Patrick Ruhkamp, Hannah Schieber, Pengyuan Wang, Giulia Rizzoli, Hongcheng Zhao, Sven Meier, Daniel Roth, Nassir Navab, Benjamin Busam:
HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Pose Dataset with Household Objects in Realistic Scenarios. CoRR abs/2212.10428 (2022) - 2021
- [i2]Pengyuan Wang, Fabian Manhardt, Luca Minciullo, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam:
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration. CoRR abs/2112.02849 (2021) - 2020
- [i1]Fabian Manhardt, Manuel Nickel, Sven Meier, Luca Minciullo, Nassir Navab:
CPS: Class-level 6D Pose and Shape Estimation From Monocular Images. CoRR abs/2003.05848 (2020)
Coauthor Index
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