The goal of this project is to develop new Deep Learning based high dimensional signal models and prediction tools for immersive visual signal coding.
M1-V Deep Learning for Future Video Compression
Tag: Zhu Li
M3-T Mobile Edge Point Cloud Services for Auto Driving
Provide Realtime live 3D map service from mobile edge using distributed sensing and low latency point cloud aggregation and multicasting. We will use high efficiency scalable point cloud source coding. We will provide real time point cloud LiveMaps aggregated through mobile edge computing. We propose a joint source-channel coding for V2V and V2I communication.
M5-M Low Resolution and Quality Image Understanding
The goals of this project are (1) to make new end to end image processing pipeline that performs the extremely low light image denoising and enhancement task and (2) to develop a recognition friendly super resolution method for low resolution image recognition.