7 citations · 16 across the 10 of their papers we have counts for
10 papers
TLRNet: Estimating Individual Treatment Effect based on Local Information and Single Learner Structure
Ali Haghpanah Jahromi, Mohammad Taheri, Zohreh Azimifar
Causal inference has become a central issue across various fields, including computer science, statistics, economics, education, healthcare, and medicine. The broad applicability o…
Texture Image Synthesis Using Spatial GAN Based on Vision Transformers
Elahe Salari, Zohreh Azimifar
Texture synthesis is a fundamental task in computer vision, whose goal is to generate visually realistic and structurally coherent textures for a wide range of applications, from g…
DensePANet: An improved generative adversarial network for photoacoustic tomography image reconstruction from sparse data
Hesam Hakimnejad, Zohreh Azimifar, Narjes Goshtasbi
Image reconstruction is an essential step of every medical imaging method, including Photoacoustic Tomography (PAT), which is a promising modality of imaging, that unites the benef…
Deep-MDS Framework for Recovering the 3D Shape of 2D Landmarks from a Single Image
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 hu…
A New Approach for Optimizing Highly Nonlinear Problems Based on the Observer Effect Concept
Mojtaba Moattari, Emad Roshandel, Shima Kamyab +1
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 eq…
Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering
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. Conditional Variational Autoencoder (CVAE) is a po…
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition
Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar +1
Vehicle Make and Model Recognition (MMR) systems provide a fully automatic framework to recognize and classify different vehicle models. Several approaches have been proposed to ad…
End-to-end 3D shape inverse rendering of different classes of objects from a single input image
Shima Kamyab, S. Zohreh Azimifar
In this paper a semi-supervised deep framework is proposed for the problem of 3D shape inverse rendering from a single 2D input image. The main structure of proposed framework cons…
Deep Structure for end-to-end inverse rendering
Shima Kamyab, Ali Ghodsi, S. Zohreh Azimifar
Inverse rendering in a 3D format denoted to recovering the 3D properties of a scene given 2D input image(s) and is typically done using 3D Morphable Model (3DMM) based methods from…
A Deep-structured Conditional Random Field Model for Object Silhouette Tracking
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. The proposed DS-CRF model consists o…