3 accepted papers
Providing guidance about collision avoidance, pedestrian trajectory prediction is an important task for autonomous driving. In this paper, to produce plausible trajectory predictions in the first-person view circumstance, we propose a crossmodal transformer based generative framework which could lev…
The tremendous semantic discrepancy between the line art drawings without texture and the reference pictures containing rich color challenges current image-to-image translation models. Previous works attempt to establish cross-domain correspondence. However, they fail to capture more detailed featur…
Pedestrian trajectory prediction is a challenge because of the complex social interactions in context and the elusive intention of each pedestrian. Collision avoidance is one of the most common social interactions in real world, while existing data-driven works have not handled it well yet. In order…