5 papers
WildFireVQA: A Large-Scale Radiometric Thermal VQA Benchmark for Aerial Wildfire Monitoring
Mobin Habibpour, Niloufar Alipour Talemi, John Spodnik +2
Wildfire monitoring requires timely, actionable situational awareness from airborne platforms, yet existing aerial visual question answering (VQA) benchmarks do not evaluate wildfi…
Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems
Niloufar Alipour Talemi, Julia Boone, Fatemeh Afghah
The paradigm of Earth Observation analysis is shifting from static deep learning models to autonomous agentic AI. Although recent vision foundation models and multimodal large lang…
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing
Hossein Kashiani, Niloufar Alipour Talemi, Fatemeh Afghah
Deepfake detectors often struggle to generalize to novel forgery types due to biases learned from limited training data. In this paper, we identify a new type of model bias in the…
ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift
Hossein Kashiani, Niloufar Alipour Talemi, Fatemeh Afghah
Recent advancements in anomaly detection have shifted focus towards Multi-class Unified Anomaly Detection (MUAD), offering more scalable and practical alternatives compared to trad…
Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models
Niloufar Alipour Talemi, Hossein Kashiani, Fatemeh Afghah
Pre-trained Vision-language (VL) models, such as CLIP, have shown significant generalization ability to downstream tasks, even with minimal fine-tuning. While prompt learning has e…