Chengzhi Wu

According to our database, Chengzhi Wu authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach.

Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer

IEEE Trans. Multim., 2024

Rethinking Attention Module Design for Point Cloud Analysis.

Chengzhi Wu, Kaige Wang, Zeyun Zhong, Hao Fu, Junwei Zheng, Jiaming Zhang, Julius Pfrommer, Jürgen Beyerer

CoRR, 2024

Open Panoramic Segmentation.

Junwei Zheng, Ruiping Liu, Yufan Chen, Kunyu Peng, Chengzhi Wu, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen

Proceedings of the Computer Vision - ECCV 2024, 2024

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning.

Chengzhi Wu, Qianliang Huang, Kun Jin, Julius Pfrommer, Jürgen Beyerer

Proceedings of the International Conference on 3D Vision, 2024

2023

DiffAnt: Diffusion Models for Action Anticipation.

Zeyun Zhong, Chengzhi Wu, Manuel Martin, Michael Voit, Juergen Gall, Jürgen Beyerer

CoRR, 2023

MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors.

Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans

CoRR, 2023

Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding.

Chengzhi Wu, Julius Pfrommer, Jürgen Beyerer, Kangning Li, Boris Neubert

CoRR, 2023

Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input.

Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer

CoRR, 2023

Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly.

Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning.

Chengzhi Wu, Linxi Qiu, Kanran Zhou, Julius Pfrommer, Jürgen Beyerer

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Attention-Based Point Cloud Edge Sampling.

Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Attention-based Part Assembly for 3D Volumetric Shape Modeling.

Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Time Series Surface Deformation of Changbaishan Volcano Based on Sentinel-1B SAR Data and Its Geological Significance.

Zhiguo Meng, Chuanzeng Shu, Ying Yang, Chengzhi Wu, Xuegang Dong, Dongzhen Wang, Yuanzhi Zhang

Remote. Sens., 2022

Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage.

Gisela Lanza, Tamim Asfour, Jürgen Beyerer, Barbara Deml, Jürgen Fleischer, Michael Heizmann, Kai Furmans, Constantin Hofmann, Alexander Cebulla, Christian R. G. Dreher, Jan-Philipp Kaiser, Jan-Felix Klein, Fabian Leven, Simon Mangold, Norbert Mitschke, Nicole Stricker, Julius Pfrommer, Chengzhi Wu, Marco Wurster, Manuel Zaremski

Autom., 2022

2017

Robust Learning Control Design for Quantum Unitary Transformations.

Chengzhi Wu, Bo Qi, Chunlin Chen, Daoyi Dong

IEEE Trans. Cybern., 2017

2015

Robust Quantum Operation for Two-Level Systems Using Sampling-Based Learning Control.

Chengzhi Wu, Chunlin Chen, Bo Qi, Daoyi Dong

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Ensemble control of open quantum systems using differential evolution.

Yingying Sun, Hailan Ma, Chengzhi Wu, Chunlin Chen, Daoyi Dong

Proceedings of the 10th Asian Control Conference, 2015