activity
20212024
most citedMedViT: A Robust Vision Transformer for Generalized Medical Image Classification

495 citations · 508 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV202410 cited

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…

eess.IV20231 cited

Multi-Context Dual Hyper-Prior Neural Image Compression

Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta +3

Transform and entropy models are the two core components in deep image compression neural networks. Most existing learning-based image compression methods utilize convolutional-bas…

cs.CV2023

Towards Generalizable Morph Attack Detection with Consistency Regularization

Hossein Kashiani, Niloufar Alipour Talemi, Mohammad Saeed Ebrahimi Saadabadi +1

Though recent studies have made significant progress in morph attack detection by virtue of deep neural networks, they often fail to generalize well to unseen morph attacks. With n…

cs.CV20231 cited

CCFace: Classification Consistency for Low-Resolution Face Recognition

Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani +1

In recent years, deep face recognition methods have demonstrated impressive results on in-the-wild datasets. However, these methods have shown a significant decline in performance…

cs.CV2023

AAFACE: Attribute-aware Attentional Network for Face Recognition

Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan +4

In this paper, we present a new multi-branch neural network that simultaneously performs soft biometric (SB) prediction as an auxiliary modality and face recognition (FR) as the ma…

cs.CV2023495 cited

MedViT: A Robust Vision Transformer for Generalized Medical Image Classification

Omid Nejati Manzari, Hamid Ahmadabadi, Hossein Kashiani +2

Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis. However, there are still concerns about the reliability of deep medical…