| Anticipative feature fusion transformer for multi-modal action anticipation Z Zhong, D Schneider, M Voit, R Stiefelhagen, J Beyerer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 48 | 2023 |
| A survey on deep learning techniques for action anticipation Z Zhong, M Martin, M Voit, J Gall, J Beyerer arXiv preprint arXiv:2309.17257, 2023 | 8 | 2023 |
| Diffant: Diffusion models for action anticipation Z Zhong, C Wu, M Martin, M Voit, J Gall, J Beyerer arXiv preprint arXiv:2311.15991, 2023 | 4 | 2023 |
| Querymamba: A mamba-based encoder-decoder architecture with a statistical verb-noun interaction module for video action forecasting@ ego4d long-term action anticipation … Z Zhong, M Martin, F Diederichs, J Beyerer arXiv preprint arXiv:2407.04184, 2024 | 2 | 2024 |
| Unsupervised 3D skeleton-based action recognition using cross-attention with conditioned generation capabilities DJ Lerch, Z Zhong, M Martin, M Voit, J Beyerer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| Mixed probability models for aleatoric uncertainty estimation in the context of dense stereo matching Z Zhong, M Mehltretter ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021 | 2 | 2021 |
| Synthact: Towards generalizable human action recognition based on synthetic data D Schneider, M Keller, Z Zhong, K Peng, A Roitberg, J Beyerer, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 13038 …, 2024 | 1 | 2024 |
| Rethinking Attention Module Design for Point Cloud Analysis C Wu, K Wang, Z Zhong, H Fu, J Zheng, J Zhang, J Pfrommer, J Beyerer arXiv preprint arXiv:2407.19294, 2024 | | 2024 |
| Activities that Correlate with Motion Sickness in Driving Cars–An International Online Survey F Diederichs, A Herrmanns, D Lerch, Z Zhong, D Piechnik, LA Mathis, ... International Conference on Human-Computer Interaction, 3-12, 2024 | | 2024 |
| Long-term Action Anticipation: A Quick Survey Z Zhong Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and …, 2023 | | 2023 |
| SAMBLE: Learning Shape-Specific Sampling Strategies for Point Cloud Shapes with Sparse Attention Map and Adaptive Bin Partitioning C Wu, Y Wan, H Fu, J Pfrommer, Z Zhong, J Zheng, J Zhang, J Beyerer | | |
Juergen BeyererProfessor für Informatik KIT Karlsruhe und Leiter des Fraunhofer-IOSBBestätigte E-Mail-Adresse bei iosb.fraunhofer.de
