activity
20182024
most citedA Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks

5 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2024

A Novel Framework for Automated Warehouse Layout Generation

Atefeh Shahroudnejad, Payam Mousavi, Oleksii Perepelytsia +4

Optimizing warehouse layouts is crucial due to its significant impact on efficiency and productivity. We present an AI-driven framework for automated warehouse layout generation. T…

cs.CV2023★ 1 cited

MaskRenderer: 3D-Infused Multi-Mask Realistic Face Reenactment

Tina Behrouzi, Atefeh Shahroudnejad, Payam Mousavi

We present a novel end-to-end identity-agnostic face reenactment system, MaskRenderer, that can generate realistic, high fidelity frames in real-time. Although recent face reenactm…

cs.LG2021★ 5 cited

A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks

Atefeh Shahroudnejad

Recent advancements in machine learning and signal processing domains have resulted in an extensive surge of interest in Deep Neural Networks (DNNs) due to their unprecedented perf…

eess.IV2020★ 1 cited

A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future

Fatemeh Abdolali, Atefeh Shahroudnejad, Abhilash Rakkunedeth Hareendranathan +3

Thyroid cancer is common worldwide, with a rapid increase in prevalence across North America in recent years. While most patients present with palpable nodules through physical exa…

cs.CV2018

Improved Explainability of Capsule Networks: Relevance Path by Agreement

Atefeh Shahroudnejad, Arash Mohammadi, Konstantinos N. Plataniotis

Recent advancements in signal processing and machine learning domains have resulted in an extensive surge of interest in deep learning models due to their unprecedented performance…