no code implementations • 22 Jan 2024 • Shoaib Meraj Sami, Md Mahedi Hasan, Nasser M. Nasrabadi, Raghuveer Rao
The transductive transfer learning (TTL) method that incorporates a CycleGAN-based unpaired domain translation network has been previously proposed in the literature for effective ATR annotation.
no code implementations • 14 Dec 2023 • Md Mahedi Hasan, Shoaib Meraj Sami, Nasser Nasrabadi
However, learning a discriminative joint embedding within the multimodal space poses a considerable challenge due to the semantic gap in the unaligned image-text representations, along with the complexities arising from ambiguous and incoherent textual descriptions of the face.
no code implementations • 16 Sep 2022 • Hossein Kashiani, Shoaib Meraj Sami, Sobhan Soleymani, Nasser M. Nasrabadi
In this paper, we intend to learn a morph detection model with high generalization to a wide range of morphing attacks and high robustness against different adversarial attacks.
no code implementations • 25 Aug 2022 • Shoaib Meraj Sami, John McCauley, Sobhan Soleymani, Nasser Nasrabadi, Jeremy Dawson
The proposed network provides a quantitative similarity score for any two given faces and has been applied to large-scale face datasets to identify similar face pairs.
no code implementations • 21 Oct 2021 • Shoaib Meraj Sami, Mohammed Imamul Hassan Bhuiyan
The proposed method's performance in classification is studied using publicly available DGA data of 376 power transformers and employing an XGBoost classifier.
no code implementations • 21 Oct 2021 • Shoaib Meraj Sami, Mohammed Imamul Hassan Bhuiyan
In this paper, an Empirical Mode Decomposition-based method is proposed for the detection of transformer faults from Dissolve gas analysis (DGA) data.