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Large Motion Model for Unified Multi-Modal Motion Generation
In this work, we present Large Motion Model (LMM), a motion-centric, multi-modal framework that unifies mainstream motion generation tasks into a generalist model.
Mask-Guided Image Person Removal with Data Synthesis
As a special case of common object removal, image person removal is playing an increasingly important role in social media and criminal investigation domains.
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
The preponderance of large-scale healthcare databases provide abundant opportunities for comparative effectiveness research.
Predict Future Sales using Ensembled Random Forests
This is a method report for the Kaggle data competition 'Predict future sales'.
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