Sven Meier

According to our database, Sven Meier authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Self-Supervised Learning of Transparent Category Poses With Language Guidance and Implicit Physical Constraints.

Pengyuan Wang, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam

IEEE Robotics Autom. Lett., September, 2024

Implementation of a Camera System for the Application of Artificial Intelligence in Monitoring the Cold Atmospheric Plasma Spray Process.

Manuela Ockel, Sven Meier, O. G. Stelter, Nils Thielen, Patrick Bründl, Jörg Franke

Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Development and validation of a digital twin framework for SMT manufacturing.

Reinhardt Seidel, Ben Rachinger, Nils Thielen, Konstantin Schmidt, Sven Meier, Jörg Franke

Comput. Ind., 2023

2022

HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Pose Dataset with Household Objects in Realistic Scenarios.

HyunJun Jung, Shun-Cheng Wu, Patrick Ruhkamp, Hannah Schieber, Pengyuan Wang, Giulia Rizzoli, Hongcheng Zhao, Sven Meier, Daniel Roth, Nassir Navab, Benjamin Busam

CoRR, 2022

Time Card and Open Time Server.

Ahmad Byagowi, Sven Meier, Thomas Schaub, Ioannis Sotiropoulos

Proceedings of the IEEE International Symposium on Precision Clock Synchronization for Measurement, 2022

Multi-Model Machine Learning based Industrial Vision Framework for Assembly Part Quality Control.

Maximilian Schwab, Charles Madeline-Dérou, Steffen Klarmann, Nils Thielen, Sven Meier, Jörg Franke, Sandan Chintanippu, Wilhelm Stork

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects.

Pengyuan Wang, HyunJun Jung, Yitong Li, Siyuan Shen, Rahul Parthasarathy Srikanth, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CroCPS: Addressing Photometric Challenges in Self-Supervised Category-Level 6D Object Poses with Cross-Modal Learning.

Pengyuan Wang, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions.

Luca Minciullo, Fabian Manhardt, Kei Yoshikawa, Sven Meier, Federico Tombari, Norimasa Kobori

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration.

Pengyuan Wang, Fabian Manhardt, Luca Minciullo, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

CPS: Class-level 6D Pose and Shape Estimation From Monocular Images.

Fabian Manhardt, Manuel Nickel, Sven Meier, Luca Minciullo, Nassir Navab

CoRR, 2020