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Conditional Neural Video Coding with Spatial-Temporal Super-Resolution
This document is an expanded version of a one-page abstract originally presented at the 2024 Data Compression Conference.
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning
Remote medical diagnosis has emerged as a critical and indispensable technique in practical medical systems, where medical data are required to be efficiently compressed and transmitted for diagnosis by either professional doctors or intelligent diagnosis devices.
Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts
For ICM, developing a unified codec to reduce information redundancy while empowering the compressed features to support various vision tasks is very important, which inevitably faces two core challenges: 1) How should the compression strategy be adjusted based on the downstream tasks?
