no code implementations • 19 Apr 2024 • Hesam hakimnejad, Zohreh Azimifar, Narjes Goshtasbi
In this study, we proposed an end-to-end method called DensePANet to solve the problem of PAT image reconstruction from sparse data.
1 code implementation • 27 Oct 2022 • Shima Kamyab, Zohreh Azimifar
In this paper, a low parameter deep learning framework utilizing the Non-metric Multi-Dimensional scaling (NMDS) method, is proposed to recover the 3D shape of 2D landmarks on a human face, in a single input image.
no code implementations • 7 Nov 2021 • Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul Fieguth
In this paper we investigate a variety of deep learning strategies for solving inverse problems.
no code implementations • 13 Jun 2019 • Mojtaba Moattari, Emad Roshandel, Shima Kamyab, Zohreh Azimifar
A lot of real-world engineering problems represent dynamicity with nests of nonlinearities due to highly complex network of exponential functions or large number of differential equations interacting together.
no code implementations • 11 Mar 2019 • Shima Kamyab, Rasool Sabzi, Zohreh Azimifar
Deep generative models are stochastic neural networks capable of learning the distribution of data so as to generate new samples.
no code implementations • 8 Jun 2018 • Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong
Here, we formulate the vehicle make and model recognition as a fine-grained classification problem and propose a new configurable on-road vehicle make and model recognition framework.
no code implementations • 5 Jan 2015 • Mohammad Shafiee, Zohreh Azimifar, Alexander Wong
In this work, we introduce a deep-structured conditional random field (DS-CRF) model for the purpose of state-based object silhouette tracking.