2 papers
cs.GR2026
Event-T2M: Event-level Conditioning for Complex Text-to-Motion Synthesis
Seong-Eun Hong, JaeYoung Seon, JuYeong Hwang +2
Text-to-motion generation has advanced with diffusion models, yet existing systems often collapse complex multi-action prompts into a single embedding, leading to omissions, reorde…
cs.LG2026
LeMoF: Level-guided Multimodal Fusion for Heterogeneous Clinical Data
Jongseok Kim, Seongae Kang, Jonghwan Shin +2
Multimodal clinical prediction is widely used to integrate heterogeneous data such as Electronic Health Records (EHR) and biosignals. However, existing methods tend to rely on stat…