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ArcTanGent Filming Summary and Experience
- Solenne Fortun
- August 17, 2023
On the 17th of August CrowdDNA H2020 Project was running a Crowd Observatory at ArcTanGent festival!
Author: Solenne Fortun
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SIGGRAPH 2023: CrowdDNA talk
- Solenne Fortun
- August 10, 2023
During SIGGRAPH 2023, UL gave a talk about the publication “RSMT: Real-time Stylized Motion Transition for Characters”.
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[Dataset] Journal of Biomecanics: Stepping strategies of young adults undergoing sudden external perturbation from different directions
- Solenne Fortun
- August 01, 2023
Thomas Chatagnon, Anne-Hélène Olivier, Ludovic Hoyet, Julien Pettré, Charles Pontonnier
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Civil Safety Research: Understanding Pedestrian Dynamics To Enhance The Safety In Large Crowds
- Solenne Fortun
- July 21, 2023
FZJ gave a talk during the workshop on “Dual use and misuse of research results” in Jülich from the 17.-21. July 2023.
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ISPGR 2023 in Brisbane
- Solenne Fortun
- July 13, 2023
The ISPGR World Congress brings together posture and gait researchers and clinicians from around the world for discussion and exchange of the most cutting edge knowledge, insights, issues and ideas. Inria gave a presentation at the event.
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Computer Graphics Forum: Model-based Crowd Behaviors in Human-solution Space
- Solenne Fortun
- July 06, 2023
Wei Xiang, He Wang, Yuqing Zhang, Milo K. Yip and Xiaogang Jin
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Safety Science 2023: It’s (not) just a matter of terminology: Everyday understanding of “mass panic” and alternative terms
- Solenne Fortun
- July 01, 2023
Helena Lügering, Dilek Tepeli, Anna Sieben
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WXO Summit
- Solenne Fortun
- June 30, 2023
During WXO summit, CDI introduces CrowdDNA duirng ‘unconference’ talk.
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Pedestrian and Evacuation Dynamics (PED2023)
- Solenne Fortun
- June 30, 2023
This year, 3 common talks were given at PED2023 as part of CrowdDNA.
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SIGGRAPH 2023: RSMT: Real-time Stylized Motion Transition for Characters
- Solenne Fortun
- June 21, 2023
Xiangjun Tang, Linjun Wu, He Wang, Bo Hu, Xu Gong, Yuchen Liao, Songnan Li, Qilong Kou, Xiaogang Jin Computer Vision and Pattern Recognition Abstract Styled online in-between motion generation has important application scenarios in computer animation and games. Its core challenge lies in the need to satisfy four critical requirements simultaneously: generation speed, motion quality, style diversity, and synthesis controllability. While the first
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This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 899739.