🏢 School of Computer Science and Engineering, Sun Yat-Sen University

TreeVI: Scalable tree-structured variational inference captures instance-level correlations for improved model accuracy.

Frozen-DETR boosts object detection accuracy by integrating frozen foundation models as feature enhancers, achieving significant performance gains without the computational cost of fine-tuning.

FFAM uses feature factorization and gradient weighting to produce high-quality visual explanations for 3D object detectors, improving model interpretability and trust.