Chengzhi Wu

32 papers A* 2A 1B 1Journal 19Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
InterEdit: Navigating Text-Guided Multi-Human 3D Motion Editing.
CoRR
Yebin Yang, Di Wen, Lei Qi, Weitong Kong, Junwei Zheng, Ruiping Liu, Yufan Chen, Chengzhi Wu, Kailun Yang, Yuqian Fu, Danda Pani Paudel, Luc Van Gool, Kunyu Peng
2026 J jnl
What if? Emulative Simulation with World Models for Situated Reasoning.
CoRR
Ruiping Liu, Yufan Chen, Yuheng Zhang, Junwei Zheng, Kunyu Peng, Chengzhi Wu, Chenguang Huang, Di Wen, Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
2025 J jnl
6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly.
CoRR
Chengzhi Wu, Hao Fu, Jan-Philipp Kaiser, Erik Tabuchi Barczak, Julius Pfrommer, Gisela Lanza, Michael Heizmann, Jürgen Beyerer
2025 J jnl
A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning.
CoRR
Chengzhi Wu, Qianliang Huang, Kun Jin, Julius Pfrommer, Jürgen Beyerer
2025 — —
Attention-Based Point Cloud Sampling.
Chengzhi Wu
2025 — conf
Enhancing Generalization in Deepfake Detection via Frequency and Gradient Representation Fusion.
CSAI
Boning Zhang, Xinyi Luo, Chengzhi Wu, Qiuduo Zhao
2025 A* conf
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity.
CVPR
Chengzhi Wu, Yuxin Wan, Hao Fu, Julius Pfrommer, Zeyun Zhong, Junwei Zheng, Jiaming Zhang, Jürgen Beyerer
2025 J jnl
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity.
CoRR
Chengzhi Wu, Yuxin Wan, Hao Fu, Julius Pfrommer, Zeyun Zhong, Junwei Zheng, Jiaming Zhang, Jürgen Beyerer
2024 — conf
A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning.
3DV
Chengzhi Wu, Qianliang Huang, Kun Jin, Julius Pfrommer, Jürgen Beyerer
2024 — conf
HybridFormer: Bridging Local and Global Spatio-Temporal Dynamics for Efficient Skeleton-Based Action Recognition.
ECCV Workshops (13)
Zeyun Zhong, Tianrui Li, Manuel Martin, Mickael Cormier, Chengzhi Wu, Frederik Diederichs, Juergen Beyerer
2024 — conf
Open Panoramic Segmentation.
ECCV (39)
Junwei Zheng, Ruiping Liu, Yufan Chen, Kunyu Peng, Chengzhi Wu, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
2024 J jnl
Open Panoramic Segmentation.
CoRR
Junwei Zheng, Ruiping Liu, Yufan Chen, Kunyu Peng, Chengzhi Wu, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
2024 — conf
Rethinking Attention Module Design for Point Cloud Analysis.
ICPR (26)
Chengzhi Wu, Kaige Wang, Zeyun Zhong, Hao Fu, Junwei Zheng, Jiaming Zhang, Julius Pfrommer, Jürgen Beyerer
2024 J jnl
Rethinking Attention Module Design for Point Cloud Analysis.
CoRR
Chengzhi Wu, Kaige Wang, Zeyun Zhong, Hao Fu, Junwei Zheng, Jiaming Zhang, Julius Pfrommer, Jürgen Beyerer
2024 J jnl
Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach.
IEEE Trans. Multim.
Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer
2023 A* conf
Attention-Based Point Cloud Edge Sampling.
CVPR
Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer
2023 — conf
Attention-based Part Assembly for 3D Volumetric Shape Modeling.
CVPR Workshops
Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer
2023 J jnl
Attention-based Part Assembly for 3D Volumetric Shape Modeling.
CoRR
Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer
2023 J jnl
Attention-based Point Cloud Edge Sampling.
CoRR
Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer
2023 J jnl
DiffAnt: Diffusion Models for Action Anticipation.
CoRR
Zeyun Zhong, Chengzhi Wu, Manuel Martin, Michael Voit, Juergen Gall, Jürgen Beyerer
2023 J jnl
Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input.
CoRR
Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer
2023 J jnl
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors.
CoRR
Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans
2023 J jnl
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding.
CoRR
Chengzhi Wu, Julius Pfrommer, Jürgen Beyerer, Kangning Li, Boris Neubert
2023 A conf
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly.
WACV
Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer
2023 J jnl
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly.
CoRR
Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer
2023 — conf
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning.
VISIGRAPP (4: VISAPP)
Chengzhi Wu, Linxi Qiu, Kanran Zhou, Julius Pfrommer, Jürgen Beyerer
2023 J jnl
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning.
CoRR
Chengzhi Wu, Linxi Qiu, Kanran Zhou, Julius Pfrommer, Jürgen Beyerer
2022 J jnl
Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage.
Autom.
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
2022 J jnl
Time Series Surface Deformation of Changbaishan Volcano Based on Sentinel-1B SAR Data and Its Geological Significance.
Remote. Sens.
Zhiguo Meng, Chuanzeng Shu, Ying Yang, Chengzhi Wu, Xuegang Dong, Dongzhen Wang, Yuanzhi Zhang
2017 J jnl
Robust Learning Control Design for Quantum Unitary Transformations.
IEEE Trans. Cybern.
Chengzhi Wu, Bo Qi, Chunlin Chen, Daoyi Dong
2015 — conf
Ensemble control of open quantum systems using differential evolution.
ASCC
Yingying Sun, Hailan Ma, Chengzhi Wu, Chunlin Chen, Daoyi Dong
2015 B conf
Robust Quantum Operation for Two-Level Systems Using Sampling-Based Learning Control.
SMC
Chengzhi Wu, Chunlin Chen, Bo Qi, Daoyi Dong