← Search

Stergios Christodoulidis

4 accepted papers

2026

SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning

CVPR 2026

With the increasing adoption of vision-language models (VLMs) in critical decision-making systems such as in healthcare or autonomous driving, the calibration of their uncertainty estimates has become paramount. Yet, this dimension has been largely underexplored in the VLM test-time prompt-tuning (T

Cited by 0SourcecodeScholar
2025

Controllable Latent Space Augmentation for Digital Pathology

ICCV 2025poster

Whole slide image (WSI) analysis in digital pathology presents unique challenges due to the gigapixel resolution of WSIs and the scarcity of dense supervision signals. While Multiple Instance Learning (MIL) is a natural fit for slide-level tasks, training robust models requires large and diverse dat…

2025

THUNDER: Tile-level Histopathology image UNDERstanding benchmark

NeurIPS 2025spotlight

Progress in a research field can be hard to assess, in particular when many concurrent methods are proposed in a short period of time. This is the case in digital pathology, where many foundation models have been released recently to serve as feature extractors for tile-level images, being used in a…

Cited by 0SourcecodeScholar
2024

ViG-Bias: Visually Grounded Bias Discovery and Mitigation

ECCV 2024poster

"The proliferation of machine learning models in critical decision-making processes has underscored the need for bias discovery and mitigation strategies. Identifying the reasons behind a biased system is not straightforward, since in many occasions they are associated with hidden spurious correlati…