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Dian Shao

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 2:45 AM AMS

5

papers

514

total citations

papers (5)

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

Intra- and Inter-Action Understanding via Temporal Action Parsing

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

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

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