5 papers
LARGO: Low-Rank Hypernetwork for Handling Missing Modalities
Niels Vyncke, Pooya Ashtari, Aleksandra Pižurica
Addressing missing modalities is an important challenge in multimodal image analysis and often relies on complex architectures that do not transfer easily to different datasets wit…
FUTON: Fourier Tensor Network for Implicit Neural Representations
Pooya Ashtari, Pourya Behmandpoor, Nikos Deligiannis +1
Implicit neural representations (INRs) have emerged as powerful tools for encoding signals, yet dominant MLP-based designs often suffer from slow convergence, overfitting to noise,…
Deconver: A Deconvolutional Network for Medical Image Segmentation
Pooya Ashtari, Shahryar Noei, Fateme Nateghi Haredasht +4
While convolutional neural networks (CNNs) and vision transformers (ViTs) have advanced medical image segmentation, they face inherent limitations such as local receptive fields in…
Quantization-aware Matrix Factorization for Low Bit Rate Image Compression
Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht +3
Lossy image compression is essential for efficient transmission and storage. Traditional compression methods mainly rely on discrete cosine transform (DCT) or singular value decomp…
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency
Mostafa Naseri, Pooya Ashtari, Mohamed Seif +3
In wireless communications, efficient image transmission must balance reliability, throughput, and latency, especially under dynamic channel conditions. This paper presents an adap…