- Artificial intelligence and machine learning
- Human motion generation and interaction modeling
- 3D pose estimation and computer vision
- Generative AI and LLM-guided systems
- Reproducible research software and academic tools
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Official PyTorch implementation for resolving kinematic uncertainty and linguistic ambiguity in text-to-motion generation. |
Contact and shape-aware latent motion diffusion model for human interaction generation. |
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Blender addon for rendering interaction SMPL mesh sequences generated from advanced motion models. |
Research implementation for refining 3D human pose estimation using anthropometric constraints and synthetic localization errors. |
- Building research-grade AI systems with practical reproducibility
- Exploring motion diffusion and interaction generation pipelines
- Connecting LLM reasoning with structured computational models
- Creating teaching and research resources for students and collaborators
ORCID • LinkedIn • Hugging Face • ResearchGate • University
Research, code, and teaching material for intelligent systems that bridge theory and application.

