2 papers
cs.CV2025
IONext: Unlocking the Next Era of Inertial Odometry
Shanshan Zhang, Qi Zhang, Siyue Wang +7
Researchers have increasingly adopted Transformer-based models for inertial odometry. While Transformers excel at modeling long-range dependencies, their limited sensitivity to loc…
cs.LG2024
The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs
Junli Fang, João F. C. Mota, Baoshan Lu +2
The joint source-channel coding (JSCC) framework leverages deep learning to learn from data the best codes for source and channel coding. When the output signal, rather than being…