Dian Shao

5

Papers

0

Total Citations

Papers (5)

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance

SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization

FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding

Intra- and Inter-Action Understanding via Temporal Action Parsing

Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning