TITS 2022
MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road Scenes
MFNet is a real-time semantic segmentation network for road scenes. It combines attention, semantic, and spatial-information branches with asymmetric factorized blocks to balance accuracy, speed, and parameter efficiency.
TCSVT 2022
RPNet: Gait Recognition with Relationships Between Each Body-Parts
RPNet introduces a Part Feature Relationship Extractor for gait recognition, capturing multi-scale body-part features and adjacent part relationships to improve robustness across occlusion, clothing, and view variations.