STIGCN: spatial-temporal interaction-aware graph convolution network for pedestrian trajectory prediction Accurately predicting the future trajectory of pedestrians is critical for tasks such as autonomous driving and robot navigation. Previous methods for pede... W Chen,H Sang,J Wang,... - 《Journal...
[48] presented the GAN–CNN-based blind denoiser, which exploits the GAN for noise distribution modeling, thus generating noise samples and collaborating with clean image datasets to train a denoising network. A limitation to consider is its presupposition of zero-mean additive noise. Moreover, ...