13 papers
ConRad: Efficient Conformal Prediction for Radiomics
Matt Y. Cheung, Ashok Veeraraghavan, Guha Balakrishnan
Radiomic features derived from medical images and segmentation masks are used to support decision making in clinical imaging pipelines. In practice, these features are often comput…
Splatshot: 3D Face Avatar Generation from a Single Unconstrained Photo
Hao Liang, Zhixuan Ge, Soumendu Majee +3
Reconstructing a photorealistic 3D face avatar from a single unconstrained photograph is challenging: feed-forward 3D Gaussian Splatting (3DGS) models degrade on out-of-distributio…
Conformal Certification of Reasoning Trace Prefixes
Matt Y. Cheung, Ashok Veeraraghavan, Hanjie Chen +1
Language model reasoning traces are rarely all-or-nothing; they frequently contain valid intermediate steps before a critical error occurs. Existing uncertainty quantification meth…
GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation
Yuhao Liu, Sadeer Al-Kindi, Ashok Veeraraghavan +1
Large-scale pretraining on Earth observation imagery has yielded powerful representations of the natural and built environment. However, most existing geospatial foundation models…
Efficient Conformal Volumetry for Template-Based Segmentation
Matt Y. Cheung, Ashok Veeraraghavan, Guha Balakrishnan
Template-based segmentation, a widely used paradigm in medical imaging, propagates anatomical labels via deformable registration from a labeled atlas to a target image, and is ofte…
COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
Matt Y. Cheung, Ashok Veeraraghavan, Guha Balakrishnan
In clinical applications, the utility of segmentation models is often based on the accuracy of derived downstream metrics such as organ size, rather than by the pixel-level accurac…