Zeyun Zhong

According to our database, Zeyun Zhong authored at least 8 papers between 2023 and 2024.

Collaborative distances:

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

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

QueryMamba: A Mamba-Based Encoder-Decoder Architecture with a Statistical Verb-Noun Interaction Module for Video Action Forecasting @ Ego4D Long-Term Action Anticipation Challenge 2024.

Zeyun Zhong, Manuel Martin, Frederik Diederichs, Juergen Beyerer

CoRR, 2024

Unsupervised 3D Skeleton-Based Action Recognition using Cross-Attention with Conditioned Generation Capabilities.

David Lerch, Zeyun Zhong, Manuel Martin, Michael Voit, Jürgen Beyerer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data.

David Schneider, Marco Keller, Zeyun Zhong, Kunyu Peng, Alina Roitberg, Jürgen Beyerer, Rainer Stiefelhagen

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Activities that Correlate with Motion Sickness in Driving Cars - An International Online Survey.

Frederik Diederichs, Amina Herrmanns, David Lerch, Zeyun Zhong, Daniela Piechnik, Lesley-Ann Mathis, Boyu Xian, Nicklas Vaupel, Ajona Vijayakumar, Canmert Cabaroglu, Jessica Rausch

Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2024

2023

DiffAnt: Diffusion Models for Action Anticipation.

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

CoRR, 2023

A Survey on Deep Learning Techniques for Action Anticipation.

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

CoRR, 2023

Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation.

Zeyun Zhong, David Schneider, Michael Voit, Rainer Stiefelhagen, Jürgen Beyerer

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