FlowNar: Scalable Streaming Narration for Long-Form Videos
Z. Zhong, M. Martin, C. Wu, D. Schneider, F. Diederichs, J. Gall, J. Beyerer
Published in International Conference on Machine Learning (ICML), 2026
📄 Paper | 💻 Code | 🏡 Homepage | 🎥 Video
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
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
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
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
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
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