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SSGVS: Semantic Scene Graph-to-Video Synthesis
A semantic scene graph-to-video synthesis framework (SSGVS), based on the pre-trained VSG encoder, VQ-VAE, and auto-regressive Transformer, is proposed to synthesize a video given an initial scene image and a non-fixed number of semantic scene graphs.
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting
Trajectory forecasting is a crucial step for autonomous vehicles and mobile robots in order to navigate and interact safely.
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition
To this end, the network first refines the poses before they are further processed to recognize the action.
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