3 papers
cs.CV2026
-Net: Controlled Posterior Bridge Learning for Multi-Task Dense Prediction
Meihua Zhou, Li Yang
Multi-task dense prediction solves complementary pixel-level tasks in a unified model, such as semantic segmentation, depth estimation, surface normal estimation, and edge detectio…
cs.CV2026
M\textsuperscript{4}Fuse: Lightweight State-Space MoE with a Cross-Scale Gating Bridge for Brain Tumor Segmentation
Meihua Zhou, Xinyu Tong, Li Yang
Encoder-decoder imbalance and the reliance on large input volumes make many 3D brain tumor segmentation models both compute-heavy and brittle. We present M\textsuperscript{4}Fuse,…
cs.CV2025
DCL-SE: Dynamic Curriculum Learning for Spatiotemporal Encoding of Brain Imaging
Meihua Zhou, Xinyu Tong, Jiarui Zhao +4
High-dimensional neuroimaging analyses for clinical diagnosis are often constrained by compromises in spatiotemporal fidelity and by the limited adaptability of large-scale, genera…