1.4k citations · 5.9k across the 68 of their papers we have counts for
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Quantization Aware Factorization for Deep Neural Network Compression
Daria Cherniuk, Stanislav Abukhovich, Anh-Huy Phan +3
Tensor decomposition of convolutional and fully-connected layers is an effective way to reduce parameters and FLOP in neural networks. Due to memory and power consumption limitatio…
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation
Farnaz Sedighin, Andrzej Cichocki, Hossein Rabbani
In this paper, the problem of image super-resolution for Optical Coherence Tomography (OCT) has been addressed. Due to the motion artifacts, OCT imaging is usually done with a low…
Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
Ashish Jha, Dimitrii Ermilov, Konstantin Sobolev +8
Pedestrian Attribute Recognition (PAR) focuses on identifying various attributes in pedestrian images, with key applications in person retrieval, suspect re-identification, and sof…
Image Reconstruction using Superpixel Clustering and Tensor Completion
Maame G. Asante-Mensah, Anh Huy Phan, Salman Ahmadi-Asl +2
This paper presents a pixel selection method for compact image representation based on superpixel segmentation and tensor completion. Our method divides the image into several regi…
Adaptive Cross Tubal Tensor Approximation
Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki +4
In this paper, we propose a new adaptive cross algorithm for computing a low tubal rank approximation of third-order tensors, with less memory and lower computational complexity th…
Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection
Salman Ahmadi-Asl, Anh-Huy Phan, Cesar F. Caiafa +1
In this paper, we extend the Discrete Empirical Interpolation Method (DEIM) to the third-order tensor case based on the t-product and use it to select important/ significant latera…