3 accepted papers
Feature matching is a fundamental technique in visual perception, essential for tasks such as 3D reconstruction, SLAM, and visual localization. Existing detector-free methods often struggle with generalization due to their reliance on depth data, which is not available in many datasets. We propose P…
Category-level object pose estimation, which predicts the pose of objects within a known category without prior knowledge of individual instances, is essential in applications like warehouse automation and manufacturing. Existing methods relying on RGB images or point cloud data often struggle with
Low-cost millimeter automotive radar has received more and more attention due to its ability to handle adverse weather and lighting conditions in autonomous driving. However, the lack of quality datasets hinders research and development. We report a new method that is able to simulate 4D millimeter