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๐Ÿ” j.d. franson ๐Ÿ“‚ Engineering
Showing 58 results for "j.d. franson" in Engineering
Engineering Preprint PDF DOI

Multi-task Just Recognizable Difference for Video Coding for Machines: Database, Model, and Coding Application

Junqi Liu, Yun Zhang, Xiaoxia Huang, Long Xu, Weisi Lin ยท 2026

Just Recognizable Difference (JRD) boosts coding efficiency for machine vision through visibility threshold modeling, but is currently limited to a single-task scenario. To address this issue, we propโ€ฆ

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Engineering Preprint PDF DOI

SHroom: A Python Framework for Ambisonics Room Acoustics Simulation and Binaural Rendering

Yhonatan Gayer ยท 2026

Spherical Harmonics ROOM), an open-source Python library for room acoustics simulation using Ambisonics, available at https://github.com/Yhonatangayer/shroom and installable via \texttt{pip install pyโ€ฆ

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Engineering Preprint PDF DOI

Is there a relationship between Mean Opinion Score (MOS) and Just Noticeable Difference (JND)?

Jingwen Zhu, Hadi Amirpour, Wei Zhou, Patrick Le Callet ยท 2026

Evaluating perceived video quality is essential for ensuring high Quality of Experience (QoE) in modern streaming applications. While existing subjective datasets and Video Quality Metrics (VQMs) coveโ€ฆ

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Engineering Preprint PDF DOI

Transmission Neural Networks: Approximate Receding Horizon Control for Virus Spread on Networks

Shuang Gao, Peter E. Caines ยท 2025

Transmission Neural Networks (TransNNs) proposed by Gao and Caines (2022) serve as both virus spread models over networks and neural network models with tuneable activation functions. This paper estabโ€ฆ

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Engineering Preprint PDF DOI

JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding

Chenlong He, Zhijian Hao, Leilei Huang, Xiaoyang Zeng, Yibo Fan ยท 2025

Just Noticeable Distortion (JND)-guided pre-filter is a promising technique for improving the perceptual compression efficiency of image coding. However, existing methods are often computationally expโ€ฆ

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Engineering Preprint PDF DOI

Joint Jammer Mitigation and Data Detection

Gian Marti, Christoph Studer ยท 2025

Multi-antenna (or MIMO) processing is a promising solution to the problem of jammer mitigation. Existing methods mitigate the jammer based on an estimate of its spatial signature that is acquired throโ€ฆ

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Engineering Preprint PDF DOI

Enabling low-power massive MIMO with ternary ADCs for AIoT sensing

Shengheng Liu, Ningning Fu ยท 2025

The proliferation of networked devices and the surging demand for ubiquitous intelligence have given rise to the artificial intelligence of things (AIoT). However, the utilization of high-resolution aโ€ฆ

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Engineering Preprint PDF DOI

JSQA: Speech Quality Assessment with Perceptually-Inspired Contrastive Pretraining Based on JND Audio Pairs

Junyi Fan, Donald Williamson ยท 2025

Speech quality assessment (SQA) is often used to learn a mapping from a high-dimensional input space to a scalar that represents the mean opinion score (MOS) of the perceptual speech quality. Learningโ€ฆ

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Engineering Preprint PDF DOI

Variational Bayesian Channel Estimation and Data Detection for Cell-Free Massive MIMO with Low-Resolution Quantized Fronthaul Links

Sajjad Nassirpour, Toan-Van Nguyen, Hien Q. Ngo, Le-Nam Tran, Tharmalingam Ratnarajah, Duy H. N. Nguyen ยท 2025

We study the joint channel estimation and data detection (JED) problem in a cell-free massive multiple-input multiple-output (CF-mMIMO) network, where access points (APs) communicate with a central prโ€ฆ

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Engineering Preprint PDF DOI

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge

Jie Liang, Radu Timofte, Qiaosi Yi, Zhengqiang Zhang, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang ยท 2025

In this paper, we present a comprehensive overview of the NTIRE 2025 challenge on the 2nd Restore Any Image Model (RAIM) in the Wild. This challenge established a new benchmark for real-world image reโ€ฆ

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Engineering Preprint PDF DOI

Variational Bayesian Inference for Time-Varying Massive MIMO Channels: Estimation and Detection

Sajjad Nassirpour, Toan-Van Nguyen, Duy H. N. Nguyen ยท 2025

Massive multiple-input multiple-output (MIMO) stands as a key technology for advancing performance metrics such as data rate, reliability, and spectrum efficiency in the fifth generation (5G) and beyoโ€ฆ

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Engineering Preprint PDF DOI

Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression

Mohsen Jenadeleh, Jon Sneyers, Panqi Jia, Shima Mohammadi, Joao Ascenso, Dietmar Saupe ยท 2025

Learning-based image compression methods have recently emerged as promising alternatives to traditional codecs, offering improved rate-distortion performance and perceptual quality. JPEG AI representsโ€ฆ

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Engineering Preprint PDF DOI

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction

Yiran Sun, Osama Mawlawi ยท 2024

Positron emission tomography (PET) is widely utilized for cancer detection due to its ability to visualize functional and biological processes in vivo. PET images are usually reconstructed from histogโ€ฆ

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Engineering Preprint PDF DOI

DT-JRD: Deep Transformer based Just Recognizable Difference Prediction Model for Video Coding for Machines

Junqi Liu, Yun Zhang, Xiaoqi Wang, Xu Long, Sam Kwong ยท 2024

Just Recognizable Difference (JRD) represents the minimum visual difference that is detectable by machine vision, which can be exploited to promote machine vision oriented visual signal processing. Inโ€ฆ

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Engineering Preprint PDF DOI

Jam-absorption driving with data assimilation

Siyu Li, Ryosuke Nishi, Daichi Yanagisawa, Katsuhiro Nishinari ยท 2024

This paper introduces a data assimilation (DA) framework based on the extended Kalman filter-cell transmission model, designed to assist jam-absorption driving (JAD) operation to alleviate sag trafficโ€ฆ

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Engineering Preprint PDF DOI

DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays

Yiran Sun, Hana Baroudi, Tucker Netherton, Laurence Court, Osama Mawlawi, Ashok Veeraraghavan, Guha Balakrishnan ยท 2024

Computed Tomography (CT) scans are the standard-of-care for the visualization and diagnosis of many clinical ailments, and are needed for the treatment planning of external beam radiotherapy. Unfortunโ€ฆ

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Engineering Preprint PDF DOI

Characterization, Experimental Validation and Pilot User Study of the Vibro-Inertial Bionic Enhancement System (VIBES)

Alessia S. Ivani, Federica Barontini, Manuel G. Catalano, Giorgio Grioli, Matteo Bianchi, Antonio Bicchi ยท 2024

This study presents the characterization and validation of the VIBES, a wearable vibrotactile device that provides high-frequency tactile information embedded in a prosthetic socket. A psychophysical โ€ฆ

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Engineering Preprint PDF DOI

SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image Compression

Linhan Cao, Wei Sun, Xiongkuo Min, Jun Jia, Zicheng Zhang, Zijian Chen, Yucheng Zhu, Lizhou Liu, Qiubo Chen, Jing Chen, Guangtao Zhai ยท 2024

Just noticeable distortion (JND), representing the threshold of distortion in an image that is minimally perceptible to the human visual system (HVS), is crucial for image compression algorithms to acโ€ฆ

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Engineering Preprint PDF DOI

MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation

Baotian He, Yibing Li ยท 2024

Accurately simulating diverse behaviors of heterogeneous agents in various scenarios is fundamental to autonomous driving simulation. This task is challenging due to the multi-modality of behavior disโ€ฆ

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Engineering Preprint PDF DOI

For time-invariant delay systems, global asymptotic stability does not imply uniform global attractivity

Antoine Chaillet (IUF, L2S), Fabian Wirth, Andrii Mironchenko, Lucas Brivadis (L2S) ยท 2024

Adapting a counterexample recently proposed by J.L. Mancilla-Aguilar and H. Haimovich, we show here that, for time-delay systems, global asymptotic stability does not ensure that solutions converge unโ€ฆ

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