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Chengjian Li

2 accepted papers

2026

Spatiotemporal-Untrammelled Mixture of Experts for Multi-Person Motion Prediction

AAAI 2026technical

Comprehensively and flexibly capturing the complex spatio-temporal dependencies of human motion is critical for multi-person motion prediction. Existing methods grapple with two primary limitations: i) Inflexible spatiotemporal representation due to reliance on positional encodings for capturing spa

Cited by 0SourcePDFScholar
2025

Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation

NeurIPS 2025poster

We present *Plenodium* (*plenoptic medium*), an effective and efficient 3D representation framework capable of jointly modeling both objects and the participating medium. In contrast to existing medium representations that rely solely on view-dependent modeling, our novel plenoptic medium represent…

Cited by 0SourceScholar