5 papers
SelectOccFlow: Selective Spatiotemporal Aggregation for 3D Occupancy and Scene Flow Prediction
Yuhang Wang, Kai Luo, Yuanfan Zheng +1
Comprehensive 3D scene understanding for autonomous driving requires modeling geometry, semantics, and motion. However, camera-based occupancy and scene flow prediction are sensiti…
EmbPASS: Towards Cross-Embodiment Open Panoramic Segmentation
Pujun Guo, Yuanfan Zheng, Fei Teng +5
Panoramic images provide a complete 360-degree field of view, enabling comprehensive scene understanding for embodied perception. However, heterogeneous embodied platforms exhibit…
Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation
Yuanfan Zheng, Kunyu Peng, Xu Zheng +1
Cross-domain panoramic semantic segmentation has attracted growing interest as it enables comprehensive 360° scene understanding for real-world applications. However, it remains pa…
Panoramic Multimodal Semantic Occupancy Prediction for Quadruped Robots
Guoqiang Zhao, Zhe Yang, Sheng Wu +5
Panoramic imagery provides holistic 360° visual coverage for environmental perception in quadruped robots. However, existing occupancy prediction methods are primarily designed for…
OccTrack360: 4D Panoptic Occupancy Tracking from Surround-View Fisheye Cameras
Yongzhi Lin, Kai Luo, Yuanfan Zheng +4
Understanding dynamic 3D environments in a spatially continuous and temporally consistent manner is fundamental for robotics and autonomous driving. While recent advances in occupa…