7 papers
CLoE: Expert Consistency Learning for Robust Missing Modality Segmentation
Xinyu Tong, Meihua Zhou, Bowu Fan +1
Multimodal medical image segmentation often faces missing modalities at inference, which induces disagreement among modality experts and makes fusion unstable, particularly on smal…
SemDINO: Foundation Prior-Guided Cross-Temporal Semantic Alignment Network for Remote Sensing Change Detection
Xinyu Tong, Meihua Zhou, Jinxiao Sun +4
Semantic change detection (SCD) in remote sensing aims to identify land-cover transitions between bi-temporal observations while suppressing pseudo-changes caused by illumination v…
SpectralTrain: A Universal Framework for Hyperspectral Image Classification
Meihua Zhou, Liping Yu, Xinyu Tong +4
Hyperspectral image (HSI) classification typically involves large-scale data and computationally intensive training, which limits the practical deployment of deep learning models i…
-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…
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,…
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…