Computer Vision Lab

Computational vision for structured, clinical, and low-annotation scenes.

Our group studies data-efficient visual learning, shadow and illumination understanding, medical image segmentation, and geometric deep learning. The site collects current news, selected publications, profile information, and weekly report workflows for the lab.

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Data-Efficient Segmentation

Weak, sparse, and label-efficient segmentation for 2D and 3D visual data.

Medical Image Analysis

Reliable segmentation and representation learning for clinical imaging tasks.

Shadow Understanding

Detection, robustness, and scene reasoning under illumination changes.

Geometric Deep Learning

Visual learning on meshes, graphs, and structured spatial representations.

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