5 papers
Learning Adaptive Semantic Gaussian Allocation for 3D Occupancy
Kanglin Ning, Yiran Zhao, Wenrui Li +4
Semantic 3D Gaussians provide a compact representation for 3D semantic occupancy prediction by rendering semantic primitives into a voxel volume under voxel-wise supervision. Recen…
Towards Accurate Single Panoramic 3D Detection: A Semantic Gaussian Centric Approach
Kanglin Ning, Yiran Zhao, Wenrui Li +3
Three-dimensional object detection in panoramic imagery is crucial for comprehensive scene understanding, yet accurately mapping 2D features to 3D remains a significant challenge.…
Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection
Kanglin Ning, Wenrui Li, Houde Quan +3
Cross-modal knowledge distillation has emerged as an effective strategy for integrating point cloud and image features in 3D perception tasks. However, the modality heterogeneity,…
PAGCNet: A Pose-Aware and Geometry Constrained Framework for Panoramic Depth Estimation
Kanglin Ning, Ruzhao Chen, Penghong Wang +3
Explicitly modeling room background depth as a geometric constraint has proven effective for panoramic depth estimation. However, reconstructing this background depth for regular e…
Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion
Jisheng Chu, Wenrui Li, Xingtao Wang +3
The common occurrence of occlusion-induced incompleteness in point clouds has made point cloud completion (PCC) a highly-concerned task in the field of geometric processing. Existi…