5 accepted papers
High-definition (HD) map construction requires a comprehensive understanding of traffic environments, encompassing centimeter-level localization and rich semantic information. Previous works face challenges in redundant point representation or high-complexity curve modeling. In this paper, we presen…
As one of the basic while vital technologies for HD map construction, 3D lane detection is still an open problem due to varying visual conditions, complex typologies, and strict demands for precision. In this paper, an end-to-end flexible and hierarchical lane detector is proposed to precisely predi…
Fake news brings us panic and misunderstanding against the truth, especially under some unusual circumstances, such as the outbreak of COVID-19. It’s crucial to detect fake news on social media early to avoid further propagation. Previous methods manually label the stances implied in post-reply pair…
Recent attention-based image inpainting methods have made inspiring progress by propagating distant contextual information into holes. However, they tend to generate blurry contents since the propagation process is always misled by preliminarily-recovered holes features which are not well-inferred.…
Video inpainting aims to synthesize visually pleasant and temporally consistent content in missing regions of video. Due to a variety of motions across different frames, it is highly challenging to utilize effective temporal information to recover videos. Existing deep learning based methods usually…