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Salimeh Sekeh

2 papers indexed

arxivcs.CV2026-07-10

C-GAP: Class-Aware and Online Prompting Improves Vision-Language Models on Imbalanced Classes

Francis Fernandez, Arash Jahangiri, Salimeh Sekeh

Safety-critical perception systems must reliably detect rare object classes within small label spaces, a setting that long-tailed detection methods, designed for hundreds of classes with dense annotation, fundamentally do not address. Open-vocabulary detectors offer a promising a…

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arxivcs.CV2026-07-06

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring

Aditi Naiknaware, Jian Sun, Aminreza Khandan, Shengyang Huang, Sean Dow, Bijan Najafi, et al.

Wound monitoring is a critical yet underserved clinical challenge, where timely identification of severe adverse events (SAEs) such as infection, tissue deterioration, and delayed healing can significantly impact patient outcomes. While vision-language models (VLMs) show strong m…

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