| Human-centered collaborative robots with deep reinforcement learning A Ghadirzadeh, X Chen, W Yin, Z Yi, M Björkman, D Kragic IEEE Robotics and Automation Letters 6 (2), 566-571, 2020 | 68 | 2020 |
| Group Behavior Recognition Using Attention-and Graph-Based Neural Networks F Yang, W Yin, T Inamura, M Björkman, C Peters The 24th European Conference on Artificial Intelligence (ECAI), 2020 | 20 | 2020 |
| Dance style transfer with cross-modal transformer W Yin, H Yin, K Baraka, D Kragic, M Björkman Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 17 | 2023 |
| Graph-based normalizing flow for human motion generation and reconstruction W Yin, H Yin, D Kragic, M Björkman 2021 30th IEEE International Conference on Robot & Human Interactive …, 2021 | 17 | 2021 |
| Automated underwater pipeline damage detection using neural nets J Shi, W Yin, Y Du, J Folkesson ICRA 2019 Workshop on Underwater Robotics Perception, 2019 | 15 | 2019 |
| Impact of Trajectory Generation Methods on Viewer Perception of Robot Approaching Group Behaviors F Yang, W Yin, M Björkman, C Peters 2020 29th IEEE International Conference on Robot & Human Interactive …, 2020 | 14 | 2020 |
| Accurate targeting in robot-assisted TCM pulse diagnosis using adaptive sensor fusion J Luo, O Chun, X Nie, W Yin, H Lu, Y Guo Periodicals of Engineering and Natural Sciences 7 (1), 381-387, 2019 | 10 | 2019 |
| Multimodal dance style transfer W Yin, H Yin, K Baraka, D Kragic, M Björkman Machine Vision and Applications 34 (4), 48, 2023 | 5 | 2023 |
| Improving EEG-based motor execution classification for robot control SU Demir Kanik, W Yin, A Guneysu Ozgur, A Ghadirzadeh, M Björkman, ... International Conference on Human-Computer Interaction, 65-82, 2022 | 3 | 2022 |
| Diffusion-based Time Series Data Imputation for Microsoft 365 F Yang, W Yin, L Wang, T Li, P Zhao, B Liu, P Wang, B Qiao, Y Liu, ... The ACM Joint European Software Engineering Conference and Symposium on the …, 2023 | 1 | 2023 |
| Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models W Yin, R Tu, H Yin, D Kragic, H Kjellström, M Björkman 2023 32th IEEE International Conference on Robot & Human Interactive …, 2023 | 1 | 2023 |
| Machine Learning for Adaptive Cruise Control Target Selection W Yin KTH Royal Institute of Technology, 2019 | 1 | 2019 |
| Scalable Motion Style Transfer with Constrained Diffusion Generation W Yin, Y Yu, H Yin, D Kragic, M Björkman Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10234 …, 2024 | | 2024 |
| LM2D: Lyrics-and Music-Driven Dance Synthesis W Yin, X Zhao, Y Yu, H Yin, D Kragic, M Björkman arXiv preprint arXiv:2403.09407, 2024 | | 2024 |
| Developing Data-Driven Models for Understanding Human Motion W Yin KTH Royal Institute of Technology, 2024 | | 2024 |
| Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365 F Yang, W Yin, L Wang, T Li, P Zhao, B Liu, P Wang, B Qiao, Y Liu, ... Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | | 2023 |
| Component attention network for multimodal dance improvisation recognition J Fu, J Tan, W Yin, S Pashami, M Björkman 2023 25th ACM International Conference on Multimodal Interaction (ICMI), 2023 | | 2023 |
| Music-and Lyrics-driven Dance Synthesis W Yin, Q Yao, Y Yu, H Yin, D Kragic, M Björkman arXiv preprint arXiv:2310.00455, 2023 | | 2023 |
| Long-term Human Motion Generation and Reconstruction Using Graph-based Normalizing Flow W Yin, H Yin, D Kragic, M Björkman 2021 IEEE International Conference on Robotics and Automation (ICRA). 3rd …, 2021 | | 2021 |
Mårten BjörkmanKTH Royal Institute of TechnologyVerified email at kth.se
