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Research
Point Cloud Compression
Video Point Cloud Compression
Autonomous Vehicle
High Dynamic Range Imaging
360 Degree Image Compression
Point Cloud Compression
MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression
SEDD-PCC: A Single Encoder－Dual Decoder Framework For End-To-End Learned Point Cloud Compression
CRC-DPCGC:
Dynamic Point Cloud Geometry Compression Using Conditional Residual Coding
BMT-PCGC: Point Cloud Geometry Compression with Bidirectional Mask Transformer Entropy Model
Sparse Tensor-based point cloud attribute compression using Augmented Normalizing Flows
Video Point Cloud Compression
Dynamic global patch packing for video-based point cloud compression (V-PCC)
Autonomous Vehicle
LiDAR and Camera Multi-Modal Fusion for Autonomous Vehicles
LiDAR point cloud compression for 3D object detection
High Dynamic Range Imaging
HDRMamba: High Dynamic Range Video Reconstruction Based on State Space Models
Rate–distortion optimization of multi-exposure image coding for high dynamic range image coding
Multi-Exposure Image Compression Considering Rate-Distortion Optimization in Rendered High Dynamic Range Image
360
D
egree
Image Compression
Visual attention guided 360-degree video streaming
Localization and Route Planning for the Pedestrian Using 360-degree Images
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