3 accepted papers
Accurate visual localization is crucial for autonomous driving, yet existing methods face a fundamental dilemma: While high-definition (HD) maps provide high-precision localization references, their costly construction and maintenance hinder scalability, which drives research toward standard-definit…
Recent advances in differentiable rendering have significantly improved dynamic street scene reconstruction. However, the complexity of large-scale scenarios and dynamic elements, such as vehicles and pedestrians, remains a substantial challenge. Existing methods often struggle to scale to large sce…
Underwater object detection has attracted increasing interest for its wide application in various underwater tasks. However, due to underwater image quality degradation and the lack of large-scale underwater object datasets, many underwater detectors suffer from low detection performance. To address…