3 accepted papers
Graph OOD detection is crucial in open-world scenarios, where OOD samples may manifest in diverse forms such as open-set deviations, feature-similar shifts, and structural anomalies, each exhibiting distinct geometric characteristics. However, most existing methods adopt a one-size-fits-all geometri
Underwater and in-air environments exhibit distinct imaging characteristics, which should be carefully considered and effectively exploited for accurate depth estimation. In this work, we analyze the effectiveness of wavelength-dependent attenuation for underwater depth estimation and show that it i…
High-speed ground robots moving on unstructured terrains generate intense high-frequency vibrations, leading to LiDAR scan distortions in Lidar-inertial odometry (LIO). Accurate and efficient undistortion is extremely challenging due to (1) rapid and non-smooth state changes during intense vibration