activity
20092021
most citedHalf-CNN: A General Framework for Whole-Image Regression

17 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation

Kenan E. Ak, Joo Hwee Lim, Ying Sun +2

The focus of this paper is on the problem of image retrieval with attribute manipulation. Our proposed work is able to manipulate the desired attributes of the query image while ma…

cs.CV2014★ 17 cited

Half-CNN: A General Framework for Whole-Image Regression

Jun Yuan, Bingbing Ni, Ashraf A. Kassim

The Convolutional Neural Network (CNN) has achieved great success in image classification. The classification model can also be utilized at image or patch level for many other appl…

cs.CV2014★ 3 cited

Low-Rank and Sparse Matrix Decomposition with a-priori knowledge for Dynamic 3D MRI reconstruction

Dornoosh Zonoobi, Shahrooz Faghih Roohi, Ashraf A. Kassim

It has been recently shown that incorporating priori knowledge significantly improves the performance of basic compressive sensing based approaches. We have managed to successfully…

cs.CV2014★ 1 cited

Dependent Nonparametric Bayesian Group Dictionary Learning for online reconstruction of Dynamic MR images

Dornoosh Zonoobi, Shahrooz Faghih Roohi, Ashraf A. Kassim

In this paper, we introduce a dictionary learning based approach applied to the problem of real-time reconstruction of MR image sequences that are highly undersampled in k-space. U…

cs.IT2009★ 5 cited

Modified Papoulis-Gerchberg algorithm for sparse signal recovery

M. H. Kayvanrad, D. Zonoobi, A. A. Kassim

Motivated by the well-known Papoulis-Gerchberg algorithm, an iterative thresholding algorithm for recovery of sparse signals from few observations is proposed. The sequence of iter…