1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
Sheng-Lan Liu, Yu-Ning Ding, Gang Yan +4
The fine-grained action analysis of the existing action datasets is challenged by insufficient action categories, low fine granularities, limited modalities, and tasks. In this pap…
cs.CV2023
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition
Sheng-Lan Liu, Yu-Ning Ding, Jin-Rong Zhang +4
Graph convolutional networks have been widely used in skeleton-based action recognition. However, existing approaches are limited in fine-grained action recognition due to the simi…