| Robust learning control design for quantum unitary transformations C Wu, B Qi, C Chen, D Dong IEEE transactions on cybernetics 47 (12), 4405-4417, 2016 | 58 | 2016 |
| Learning robust pulses for generating universal quantum gates D Dong, C Wu, C Chen, B Qi, IR Petersen, F Nori Scientific Reports 6 (1), 36090, 2016 | 48 | 2016 |
| Attention-based point cloud edge sampling C Wu, J Zheng, J Pfrommer, J Beyerer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
| Sim2real transfer learning for point cloud segmentation: An industrial application case on autonomous disassembly C Wu, X Bi, J Pfrommer, A Cebulla, S Mangold, J Beyerer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 12 | 2023 |
| MotorFactory: a blender add-on for large dataset generation of small electric motors C Wu, K Zhou, JP Kaiser, N Mitschke, JF Klein, J Pfrommer, J Beyerer, ... Procedia CIRP 106, 138-143, 2022 | 9 | 2022 |
| Ensemble control of open quantum systems using differential evolution Y Sun, H Ma, C Wu, C Chen, D Dong 2015 10th Asian Control Conference (ASCC), 1-6, 2015 | 9 | 2015 |
| Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage G Lanza, T Asfour, J Beyerer, B Deml, J Fleischer, M Heizmann, ... at-Automatisierungstechnik 70 (6), 504-516, 2022 | 5 | 2022 |
| Comparison of learning methods for landscape control of open quantum systems Y Sun, C Wu, Z Zhu, C Chen Proceeding of the 11th World Congress on Intelligent Control and Automation …, 2014 | 4 | 2014 |
| Generative-contrastive learning for self-supervised latent representations of 3d shapes from multi-modal euclidean input C Wu, J Pfrommer, M Zhou, J Beyerer arXiv preprint arXiv:2301.04612, 2023 | 3 | 2023 |
| Attention-based Part Assembly for 3D Volumetric Shape Modeling C Wu, J Zheng, J Pfrommer, J Beyerer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Robust quantum operation for two-level systems using sampling-based learning control C Wu, C Chen, B Qi, D Dong 2015 IEEE International Conference on Systems, Man, and Cybernetics, 2043-2048, 2015 | 3 | 2015 |
| Diffant: Diffusion models for action anticipation Z Zhong, C Wu, M Martin, M Voit, J Gall, J Beyerer arXiv preprint arXiv:2311.15991, 2023 | 2 | 2023 |
| Object detection in 3D point clouds via local correlation-aware point embedding C Wu, J Pfrommer, J Beyerer, K Li, B Neubert 2020 Joint 9th International Conference on Informatics, Electronics & Vision …, 2020 | 2 | 2020 |
| Synmotor: A benchmark suite for object attribute regression and multi-task learning C Wu, L Qiu, K Zhou, J Pfrommer, J Beyerer arXiv preprint arXiv:2301.05027, 2023 | 1 | 2023 |
| Learning robust control for generating universal quantum gates D Dong, C Wu, C Chen, B Qi, IR Petersen, F Nori arXiv preprint arXiv:1606.06084, 2016 | 1 | 2016 |
| A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning C Wu, Q Huang, K Jin, J Pfrommer, J Beyerer 2024 International Conference on 3D Vision (3DV), 528-538, 2024 | | 2024 |
| 6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly C Wu, H Fu, JP Kaiser, ET Barczak, J Pfrommer, G Lanza, M Heizmann, ... Procedia CIRP 122, 193-198, 2024 | | 2024 |
| Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach C Wu, J Pfrommer, M Zhou, J Beyerer IEEE Transactions on Multimedia, 2023 | | 2023 |
| Attention Mechanism in Computer Vision: Current Status and Prospect C Wu Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and …, 2022 | | 2022 |
| Concept of an agile production system based on learning robots applied to disassembly G Lanza, T Asfour, J Beyerer, B Deml, J Fleischer, M Heizmann, ... AT-AUTOMATISIERUNGSTECHNIK 70 (6), 504-516, 2022 | | 2022 |
