5 papers
MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution
Jianwen Chen, Xinyu Yang, Peng Xia +7
Large language models (LLMs) have demonstrated strong performance and rapid progress in a wide range of medical reasoning tasks. However, their sequential autoregressive decoding f…
A Generative Model Method for Unsupervised Multispectral Image Fusion in Remote Sensing
Arian Azarang, Nasser Kehtarnavaz
This paper presents a generative model method for multispectral image fusion in remote sensing which is trained without supervision. This method eases the supervision of learning a…
Deep Learning-Based Detail Map Estimation for MultiSpectral Image Fusion in Remote Sensing
Arian Azarang, Nasser Kehtarnavaz
This paper presents a deep learning-based estimation of the intensity component of MultiSpectral bands by considering joint multiplication of the neighbouring spectral bands. This…
A Review of Multi-Objective Deep Learning Speech Denoising Methods
Arian Azarang, Nasser Kehtarnavaz
This paper presents a review of multi-objective deep learning methods that have been introduced in the literature for speech denoising. After stating an overview of conventional, s…
Improving Deep Speech Denoising by Noisy2Noisy Signal Mapping
Nasim Alamdari, Arian Azarang, Nasser Kehtarnavaz
Existing deep learning-based speech denoising approaches require clean speech signals to be available for training. This paper presents a deep learning-based approach to improve sp…