Afghah, Fatemeh

7 publications

CVPR 2025 FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing Hossein Kashiani, Niloufar Alipour Talemi, Fatemeh Afghah

NeurIPS 2025 Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning Hossein R. Nowdeh, Jie Ji, Xiaolong Ma, Fatemeh Afghah

WACV 2025 ROADS: Robust Prompt-Driven Multi-Class Anomaly Detection Under Domain Shift Hossein Kashiani, Niloufar Alipour Talemi, Fatemeh Afghah

WACV 2025 Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models Niloufar Alipour Talemi, Hossein Kashiani, Fatemeh Afghah

NeurIPS 2024 A Single-Step, Sharpness-Aware Minimization Is All You Need to Achieve Efficient and Accurate Sparse Training Jie Ji, Gen Li, Jingjing Fu, Fatemeh Afghah, Linke Guo, Xiaoyong Yuan, Xiaolong Ma

ECCV 2024 Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma

CVPR 2023 Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma