Research

跳到主要內容區

Research

LiDAR and Camera Multi-Modal Fusion for Autonomous Vehicles

SEDD-PCC: A Single Encoder－Dual Decoder Framework For End-To-End Learned Point Cloud Compression

LiDAR point cloud compression for 3D object detection

Dynamic Point Cloud Geometry Compression Using Conditional Residual Coding

Efficient Mamba-based HDR Video Reconstruction with State Space Models

Sparse Tensor-based point cloud attribute compression using Augmented Normalizing Flows

Dynamic global patch packing for video-based point cloud compression (V-PCC)

Point Cloud Geometry Compression Using Augmented Normalizing Flows

Localization and Route Planning for the Pedestrian Using 360-degree Images

Visual attention guided 360-degree video streaming

Multi-exposure LDR Video Coding for High Dynamic Range Video Coding

登入成功