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cs.CV2025
DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang
Recent advances in multi-modal models have demonstrated strong performance in tasks such as image generation and reasoning. However, applying these models to the fire domain remain…
cs.CV2025
RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
Mehdi Moshtaghi, Siavash H. Khajavi, Joni Pajarinen
We introduce RGB-Th-Bench, the first benchmark designed to evaluate the ability of Vision-Language Models (VLMs) to comprehend RGB-Thermal image pairs. While VLMs have demonstrated…
cs.CV2024
Synthetic imagery for fuzzy object detection: A comparative study
Siavash H. Khajavi, Mehdi Moshtaghi, Dikai Yu +3
The fuzzy object detection is a challenging field of research in computer vision (CV). Distinguishing between fuzzy and non-fuzzy object detection in CV is important. Fuzzy objects…