10 citations · 20 across the 8 of their papers we have counts for
6 papers · 1 filter
FDCT: Frequency-Aware Decomposition and Cross-Modal Token-Alignment for Multi-Sensor Target Classification
Shoaib Meraj Sami, Md Mahedi Hasan, Nasser M. Nasrabadi +1
In automatic target recognition (ATR) systems, sensors may fail to capture discriminative, fine-grained detail features due to environmental conditions, noise created by CMOS chips…
CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition
Md Mahedi Hasan, Shoaib Meraj Sami, Nasser Nasrabadi
An important aspect of deploying face recognition (FR) algorithms in real-world applications is their ability to learn new face identities from a continuous data stream. However, t…
MGHF: Multi-Granular High-Frequency Perceptual Loss for Image Super-Resolution
Shoaib Meraj Sami, Md Mahedi Hasan, Mohammad Saeed Ebrahimi Saadabadi +3
While different variants of perceptual losses have been employed in super-resolution literature to synthesize more realistic, appealing, and detailed high-resolution images, most a…
Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation
Shoaib Meraj Sami, Md Mahedi Hasan, Nasser M. Nasrabadi +1
Annotating automatic target recognition (ATR) is a highly challenging task, primarily due to the unavailability of labeled data in the target domain. Hence, it is essential to cons…
CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition
Niloufar Alipour Talemi, Hossein Kashiani, Nasser M. Nasrabadi
Although face recognition (FR) has achieved great success in recent years, it is still challenging to accurately recognize faces in low-quality images due to the obscured facial de…
Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning
Md Mahedi Hasan, Shoaib Meraj Sami, Nasser Nasrabadi
State-of-the-art face recognition (FR) models often experience a significant performance drop when dealing with facial images in surveillance scenarios where images are in low qual…