no code implementations • 10 Sep 2023 • 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.
no code implementations • 2 Feb 2021 • 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 performance and high accuracy for different and challenging problems of significant engineering importance.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
no code implementations • 10 Jun 2020 • Fatemeh Abdolali, Atefeh Shahroudnejad, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko, Michelle Noga, Kumaradevan Punithakumar
With more than 50 papers included in this review, we reflect on the trends and challenges of the field of sonographic diagnosis of thyroid malignancies and potential of computer-aided diagnosis to increase the impact of ultrasound applications on the future of thyroid cancer diagnosis.
no code implementations • 27 Feb 2018 • 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 and high accuracy for different and challenging problems of significant engineering importance.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)