SUN Lab
Visual Computing and Efficient Intelligence
Research Areas
Research
Exploring visual computing from learning algorithms to efficient hardware systems.
Learned Image Compression
Neural image coding models for high-efficiency visual compression.
Learned Video Compression
End-to-end video coding with motion and feature-level attention.
Image Coding for Machines
Compression designed for machine vision tasks and semantic analysis.
FPGA-Based LIC Systems
Efficient neural codec systems from FPGA architecture to real-time demos.
ASIC Chip Design
High-throughput video codec chip architecture and implementation.