{"volume":32,"doi":"10.5445/KSP/1000151141","publisher":"KIT Scientific Publishing","editor":[{"last_name":"Schulte","full_name":"Schulte, Horst","first_name":"Horst"},{"full_name":"Hoffman, Frank","last_name":"Hoffman","first_name":"Frank"},{"last_name":"Mikut","full_name":"Mikut, Ralf","first_name":"Ralf"}],"oa":"1","author":[{"id":"245570","first_name":"Lukas","last_name":"Vollenkemper","full_name":"Vollenkemper, Lukas"},{"full_name":"Kohlhase, Martin","last_name":"Kohlhase","first_name":"Martin","id":"226669"}],"date_updated":"2023-06-17T09:35:02Z","place":"Karlsruhe","intvolume":" 32","language":[{"iso":"eng"}],"type":"conference","main_file_link":[{"open_access":"1","url":"https://publikationen.bibliothek.kit.edu/1000151141"}],"series_title":"WORKSHOP COMPUTATIONAL INTELLIGENCE","publication_identifier":{"isbn":["978-3-7315-1239-4"]},"conference":{"end_date":"02.12.22","start_date":"30.11.22","location":"Berlin"},"corporate_editor":["Karlsruhier Institut für Technologie (KIT)"],"publication_status":"published","year":"2022","_id":"2277","status":"public","title":"Spatial Temporal Transformer Networks for Sparse Motion Capture Applications","publication":"PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE","date_created":"2022-12-23T07:24:25Z","user_id":"216459","citation":{"bibtex":"@inproceedings{Vollenkemper_Kohlhase_2022, place={Karlsruhe}, series={WORKSHOP COMPUTATIONAL INTELLIGENCE}, title={Spatial Temporal Transformer Networks for Sparse Motion Capture Applications}, volume={32}, DOI={10.5445/KSP/1000151141}, booktitle={PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE}, publisher={KIT Scientific Publishing}, author={Vollenkemper, Lukas and Kohlhase, Martin}, editor={Schulte, Horst and Hoffman, Frank and Mikut, Ralf and Karlsruhier Institut für Technologie (KIT)Editors}, year={2022}, collection={WORKSHOP COMPUTATIONAL INTELLIGENCE} }","mla":"Vollenkemper, Lukas, and Martin Kohlhase. “Spatial Temporal Transformer Networks for Sparse Motion Capture Applications.” PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, edited by Horst Schulte et al., vol. 32, KIT Scientific Publishing, 2022, doi:10.5445/KSP/1000151141.","ama":"Vollenkemper L, Kohlhase M. Spatial Temporal Transformer Networks for Sparse Motion Capture Applications. In: Schulte H, Hoffman F, Mikut R, Karlsruhier Institut für Technologie (KIT), eds. PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE. Vol 32. WORKSHOP COMPUTATIONAL INTELLIGENCE. Karlsruhe: KIT Scientific Publishing; 2022. doi:10.5445/KSP/1000151141","apa":"Vollenkemper, L., & Kohlhase, M. (2022). Spatial Temporal Transformer Networks for Sparse Motion Capture Applications. In H. Schulte, F. Hoffman, R. Mikut, & Karlsruhier Institut für Technologie (KIT) (Eds.), PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE (Vol. 32). Karlsruhe: KIT Scientific Publishing. https://doi.org/10.5445/KSP/1000151141","chicago":"Vollenkemper, Lukas, and Martin Kohlhase. “Spatial Temporal Transformer Networks for Sparse Motion Capture Applications.” In PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, edited by Horst Schulte, Frank Hoffman, Ralf Mikut, and Karlsruhier Institut für Technologie (KIT), Vol. 32. WORKSHOP COMPUTATIONAL INTELLIGENCE. Karlsruhe: KIT Scientific Publishing, 2022. https://doi.org/10.5445/KSP/1000151141.","ieee":"L. Vollenkemper and M. Kohlhase, “Spatial Temporal Transformer Networks for Sparse Motion Capture Applications,” in PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, Berlin, 2022, vol. 32.","short":"L. Vollenkemper, M. Kohlhase, in: H. Schulte, F. Hoffman, R. Mikut, Karlsruhier Institut für Technologie (KIT) (Eds.), PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, KIT Scientific Publishing, Karlsruhe, 2022.","alphadin":"Vollenkemper, Lukas ; Kohlhase, Martin: Spatial Temporal Transformer Networks for Sparse Motion Capture Applications. In: Schulte, H. ; Hoffman, F. ; Mikut, R. ; Karlsruhier Institut für Technologie (KIT) (Hrsg.): PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, WORKSHOP COMPUTATIONAL INTELLIGENCE. Bd. 32. Karlsruhe : KIT Scientific Publishing, 2022"}}