Thiago Freitas dos Santos — accepted AI-conference papers

2026

SHands: A Multi-View Dataset and Benchmark for Surgical Hand-Gesture and Error Recognition Toward Medical Training

Le Ma, Thiago Freitas dos Santos, Nadia Magnenat-Thalmann, Katarzyna Wac

CVPR 2026

In surgical training for medical students, proficiency development relies on expert-led skill assessment, which is costly, time-limited, difficult to scale, and its expertise remains confined to institutions with available specialists. Automated AI-based assessment offers a viable alternative, but p

Cited by 0 Source ↗Scholar ↗

2023

Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation

Thiago Freitas dos Santos, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Nardine Osman, Marco Schorlemmer

IJCAI 2023poster

Cross-community learning incorporates data from different sources to leverage task-specific solutions in a target community. This approach is particularly interesting for low-resource or newly created online communities, where data formalizing interactions between agents (community members) are limi…

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