3 papers
cs.CV2026
JSGS: JPEG State-Guided Supervision for 3D Gaussian Splatting from Mixed-Quality Views
Jinhua Cui, Anhong Wang, Kai Hu +5
Standard 3D Gaussian Splatting (3DGS) assumes that every input image faithfully samples scene radiance. However, mixed-quality JPEG images violate this assumption because compressi…
cs.CV2025
Reflectance Prediction-based Knowledge Distillation for Robust 3D Object Detection in Compressed Point Clouds
Hao Jing, Anhong Wang, Yifan Zhang +2
Regarding intelligent transportation systems, low-bitrate transmission via lossy point cloud compression is vital for facilitating real-time collaborative perception among connecte…
cs.CV2024
Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework
Hao Jing, Anhong Wang, Lijun Zhao +5
In autonomous driving, LiDAR sensors are vital for acquiring 3D point clouds, providing reliable geometric information. However, traditional sampling methods of preprocessing often…