In this work, we propose a novel temporal segment graph convolutional networks (TS-GCN) for skeleton-based action recognition.

In this work, we propose a novel temporal segment graph convolutional networks (TS-GCN) for skeleton-based action recognition.

In this work, we propose a novel temporal segment graph convolutional networks (TS-GCN) for skeleton-based action recognition. Our model divides the whole ...

In this paper, we present a novel model for skeleton based action recognition, the spatial temporal graph convolutional networks (ST-GCN). The model ...

Dec 9, 2024 · In this work, we propose a novel temporal segment graph convolutional networks (TS-GCN) for skeleton-based action recognition. Our model divides ...

Graph networks in skeleton-based action recognition fall into two streams: spa- tial perspective and spectral perspective. ST-GCN [41] belonging to the spa-.

Dec 31, 2023 · For RGB-based temporal action segmentation (TAS), excellent methods that capture frame-level features have achieved remarkable performance.

Mar 15, 2023 · In this work, we propose a novel model of dynamic skeletons called Spatial-Temporal Graph Convolutional Networks (ST-GCN), which moves beyond ...

STGCN is originally designed for skeleton-based action recognition [56]. We apply STGCN for action segmentation of long video sequences using frame-based action ...

A novel model of dynamic skeletons called Spatial-Temporal Graph Convolutional Networks (ST-GCN), which moves beyond the limitations of previous methods.