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Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks., , , , , , and . Eurographics (Short Papers), page 69-72. Eurographics Association, (2019)Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning., , , , , and . CHI, page 1-13. ACM, (2020)Stylistic Locomotion Modeling with Conditional Variational Autoencoder., , , , , , and . Eurographics (Short Papers), page 9-12. Eurographics Association, (2019)Learning a Continuous Control of Motion Style from Natural Examples., , , , , and . MIG, page 31:1-31:10. ACM, (2019)Embodied online dance learning objectives of CAROUSEL+., , , , , , , , , and 2 other author(s). VR Workshops, page 309-313. IEEE, (2021)Expanding Synthetic Real-World Degradations for Blind Video Super Resolution., , , , , and . CVPR Workshops, page 1199-1208. IEEE, (2023)Text-Based Motion Synthesis with a Hierarchical Two-Stream RNN., , , , and . SIGGRAPH Posters, page 42:1-42:2. ACM, (2021)Synthesis of Compositional Animations from Textual Descriptions., , , , and . ICCV, page 1376-1386. IEEE, (2021)A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting., , , , , , and . GCPR, volume 13024 of Lecture Notes in Computer Science, page 313-327. Springer, (2021)Discovering Fatigued Movements for Virtual Character Animation., , , , , , , and . SIGGRAPH Asia, page 47:1-47:12. ACM, (2023)