RoCaRS: Robust Camera-Radar BEV Segmentation for Sensor Failure Scenarios

Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation

Efficient Occupancy Prediction with Instance-Level Attention

Leveraging Camera-Based Methods for Enhanced Feature-to-World Mapping

SafeShift: Safety-Informed Distribution Shift for Robust Trajectory Prediction in Autonomous Driving

UMHE: Unsupervised Multispectral Homography Estimation

Instant Domain Augmentation for LiDAR Semantic Segmentation

TransDSSL: Transformer Based Depth Estimation via Self-Supervised Learning

Gated Bidirectional Feature Pyramid Network for Accurate One-shot Detection

KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving