no code implementations • 25 Nov 2024 • Niloufar Alipour Talemi, Hossein Kashiani, Fatemeh Afghah
This overfitting constrains the original behavior of the VL models to generalize to new domains or unseen classes, posing a critical challenge in enhancing the adaptability and generalization of VL models.
no code implementations • 25 Nov 2024 • 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 traditional one-class-one-model approaches.
no code implementations • 5 Jan 2024 • Niloufar Alipour Talemi, Hossein Kashiani, Nasser M. Nasrabadi
In this paper, we propose a novel multi-branch neural network that leverages SB attribute information to boost the performance of FR.
no code implementations • 19 Sep 2023 • Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi
In addition, we introduce a novel entropy model that incorporates two different hyperpriors to model cross-channel and spatial dependencies of the latent representation.
no code implementations • 20 Aug 2023 • Hossein Kashiani, Niloufar Alipour Talemi, Mohammad Saeed Ebrahimi Saadabadi, Nasser M. Nasrabadi
The proposed consistency regularization aligns the abstraction in the hidden layers of our model across the morph attack images which are generated from diverse domains in the wild.
no code implementations • 18 Aug 2023 • Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani, Nasser M. Nasrabadi
However, these methods have shown a significant decline in performance when applied to real-world low-resolution benchmarks like TinyFace or SCFace.
no code implementations • 14 Aug 2023 • Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Mohammad Akyash, Nasser M. Nasrabadi
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 main task.
1 code implementation • 19 Feb 2023 • Omid Nejati Manzari, Hamid Ahmadabadi, Hossein Kashiani, Shahriar B. Shokouhi, Ahmad Ayatollahi
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis.
1 code implementation • 27 Jan 2023 • Omid Nejati Manzari, Hossein Kashiani, Hojat Asgarian Dehkordi, Shahriar Baradaran Shokouhi
In this paper, we explore the robustness of vision transformers against adversarial perturbations and try to enhance their robustness/accuracy trade-off in white box attack settings.
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 • 13 Dec 2021 • Hojat Asgarian Dehkordi, Ali Soltani Nezhad, Hossein Kashiani, Shahriar Baradaran Shokouhi, Ahmad Ayatollahi
In this paper, we propose a two-phase multi-expert classification method for human action recognition to cope with long-tailed distribution by means of super-class learning and without any extra information.
no code implementations • 22 Aug 2020 • Hossein Kashiani, Amir Abbas Hamidi Imani, Shahriar Baradaran Shokouhi, Ahmad Ayatollahi
In this paper, we propose a domain adaptation approach to strengthen the contributions of the semantic background context.
no code implementations • 29 Sep 2018 • Hossein Kashiani, Shahriar B. Shokouhi
Visual object tracking is one of the interesting and important areas in computer vision that achieves remarkable improvements in recent years.