Social-BiGAT is a graph-based generative adversarial network using GAT for social interaction features and Bicycle-GAN for multimodal outputs that reports state-of-the-art results on pedestrian trajectory forecasting benchmarks.
Video surveillance and counterterror- ism: the application of suspicious activity recognition in visual surveillance systems to counterterrorism
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Social-BiGAT is a graph-based generative adversarial network using GAT for social interaction features and Bicycle-GAN for multimodal outputs that reports state-of-the-art results on pedestrian trajectory forecasting benchmarks.