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Chengzhi Wu
Chengzhi Wu
Vision and Fusion Laboratory (IES), Karlsruhe Institue of Technology
Verified email at kit.edu
Title
Cited by
Cited by
Year
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
632023
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
622016
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
522016
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
262023
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
152022
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
92015
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
72022
Open panoramic segmentation
J Zheng, R Liu, Y Chen, K Peng, C Wu, K Yang, J Zhang, R Stiefelhagen
European Conference on Computer Vision, 164-182, 2024
52024
Diffant: Diffusion models for action anticipation
Z Zhong, C Wu, M Martin, M Voit, J Gall, J Beyerer
arXiv preprint arXiv:2311.15991, 2023
52023
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
52023
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
52014
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
42023
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
32015
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
22023
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
22020
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
12024
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
12024
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
12023
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
12016
Rethinking Attention Module Design for Point Cloud Analysis
C Wu, K Wang, Z Zhong, H Fu, J Zheng, J Zhang, J Pfrommer, J Beyerer
International Conference on Pattern Recognition, 249-267, 2025
2025
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