Boundary representation learning via Transformer.

SplineGen: Approximating unorganized points through generative AI.

Incorporating simulated spatial context information improves the effectiveness of contrastive learning models.

SplineGen: a generative model for B-spline approximation of unorganized points.

Context-driven self-supervised visual learning: Harnessing the environment as a data source.

Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: Development and external validation of Hybrid 2D/3D UNet.

Using Navigational Information to Learn Visual Representations.

Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models.

Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing.