Publications

You can also find my articles on my Google Scholar profile.

Conference Papers

SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity

C. Wu, Y. Wan, H. Fu, J. Pfrommer, Z. Zhong, J. Zheng, J. Zhang, and J. Beyerer

Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

📄 Paper | 💻 Code | 🏡 Homepage | 🎥 Video

Rethinking Attention Module Design for Point Cloud Analysis

C. Wu, K. Wang, Z. Zhong, H. Fu, J. Zheng, J. Zhang, J. Pfrommer, J. Beyerer

Published in 27th International Conference on Pattern Recognition (ICPR), 2024

📄 Paper | 🎥 Video

Open Panoramic Segmentation

J. Zheng, R. Liu, Y. Chen, K. Peng, C. Wu, K. Yang, J. Zhang, R. Stiefelhagen

Published in European Conference on Computer Vision (ECCV), 2024

📄 Paper | 💻 Code | 🏡 Homepage | 🎥 Video

HybridFormer: Bridging Local and Global Spatio-Temporal Dynamics for Efficient Skeleton-Based Action Recognition

Z. Zhong, T. Li, M. Martin, M. Cormier, C. Wu, F. Diederichs, J. Beyerer

Published in European Conference on Computer Vision (ECCV), 2024

📄 Paper | 💻 Code

6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly

C. Wu, H. Fu, J. Kaiser, E. Barczak, J. Pfrommer, G. Lanza, M. Heizmann, J. Beyerer

Published in 31st CIRP CONFERENCE ON LIFE CYCLE ENGINEERING (LCE), 2024

📄 Paper | 💻 Code | 🏡 Homepage | 🎥 Video

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

C. Wu, Q. Huang, K. Jin, J. Pfrommer, J. Beyerer

Published in International Conference on 3D Vision (3DV), 2024

📄 Paper | 💻 Code

Attention-based Point Cloud Edge Sampling

C. Wu, J. Zheng, J. Pfrommer, and J. Beyerer

Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

📄 Paper | 💻 Code | 🏡 Homepage | 🎥 Video

Attention-based Part Assembly for 3D Volumetric Shape Modeling

C. Wu, J. Zheng, J. Pfrommer, and J. Beyerer

Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2023

📄 Paper | 💻 Code | 🎥 Video

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

C. Wu, L. Qiu, K. Zhou, J. Pfrommer, J. Beyerer

Published in 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023), 2023

📄 Paper | 💻 Code | 🏡 Homepage | 🎥 Video

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

Published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023

📄 Paper | 💻 Code | 🏡 Homepage | 🎥 Video

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

C. Wu, K. Zhou, J. Kaiser, N. Mitschke, J. Klein, J. Pfrommer, J. Beyerer, G. Lanza, M. Heizmann, K. Furmans

Published in 9th CIRP Conference on Assembly Technology and Systems (CIRP CATS), 2022

📄 Paper | 💻 Code | 🏡 Homepage | 🎥 Video

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

C. Wu, J. Pfrommer, J. Beyerer, K. Li, B. Neubert

Published in 4th International Conference on Imaging, Vision & Pattern Recognition (IVPR), 2020

📄 Paper | 💻 Code | 🎥 Video

Journal Articles

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

Published in IEEE Transactions on Multimedia (IEEE TMM), 2023

📄 Paper | 💻 Code

Chengzhi Wu

Publications

Conference Papers

Journal Articles