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๐Ÿ” kosuke imai ๐Ÿ“‚ Engineering
Showing 28 results for "kosuke imai" in Engineering
Engineering Preprint PDF DOI

AURASeg: Attention-guided Upsampling with Residual-Assistive Boundary Refinement for Onboard Robot Drivable-Area Segmentation

Narendhiran Vijayakumar, Sridevi. M ยท 2025

Free space ground segmentation is essential to navigate autonomous robots, recognize drivable zones, and traverse efficiently. Fine-grained features remain challenging for existing segmentation modelsโ€ฆ

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Engineering Preprint PDF DOI

IMAS$^2$: Joint Agent Selection and Information-Theoretic Coordinated Perception In Dec-POMDPs

Chongyang Shi, Wesley A. Suttle, Michael Dorothy, Jie Fu ยท 2025

We study the problem of jointly selecting sensing agents and synthesizing decentralized active perception policies for the chosen subset of agents within a Decentralized Partially Observable Markov Deโ€ฆ

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Engineering Preprint PDF DOI

Speech Intelligibility Assessment with Uncertainty-Aware Whisper Embeddings and sLSTM

Ryandhimas E. Zezario, Dyah A.M.G. Wisnu, Hsin-Min Wang, Yu Tsao ยท 2025

Non-intrusive speech intelligibility prediction remains challenging due to variability in speakers, noise conditions, and subjective perception. We propose an uncertainty-aware approach that leveragesโ€ฆ

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Engineering Preprint PDF DOI

Movable Antennas-aided Wireless Energy Transfer for the Internet of Things

Osmel Martinez Rosabal, Onel Alcaraz Lopez, Marco Di Renzo, Richard Demo Souza, Hirley Alves ยท 2025

Recent advancements in movable antennas (MAs) technology create new opportunities for 6G and beyond wireless systems. MAs are promising for radio frequency wireless energy transfer because they can dyโ€ฆ

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Engineering Preprint PDF DOI

IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning

Francesco Tassi, Jianzhuang Zhao, Gustavo J. G. Lahr, Luna Gava, Marco Monforte, Arren Glover, Chiara Bartolozzi, Arash Ajoudani ยท 2025

Robotic catching of flying objects typically generates high impact forces that might lead to task failure and potential hardware damages. This is accentuated when the object mass to robot payload ratiโ€ฆ

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Engineering Preprint PDF DOI

Age of Information in Multi-Relay Networks with Maximum Age Scheduling

Gabriel Martins de Jesus, Felippe Moraes Pereira, Joao Luiz Rebelatto, Richard Demo Souza, Onel Alcaraz Lopez ยท 2025

We propose and evaluate age of information (AoI)-aware multiple access mechanisms for the Internet of Things (IoT) in multi-relay two-hop networks. The network considered comprises end devices (EDs) cโ€ฆ

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Engineering Preprint PDF DOI

Extended Impedance Modal Analysis of Internal Dynamics in Grid-Following Inverters

Le Zheng, Jiajie Zheng, Lei Chen, Chongru Liu ยท 2025

As the penetration of Grid-Following inverters (GFL) in power systems continues to increase, the dynamic characteristics of power systems undergo significant transformations. Recently, modal analysis โ€ฆ

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Engineering Preprint PDF DOI

Solving Inverse Problem for Multi-armed Bandits via Convex Optimization

Hao Zhu, Joschka Boedecker ยท 2025

We consider the inverse problem of multi-armed bandits (IMAB) that are widely used in neuroscience and psychology research for behavior modelling. We first show that the IMAB problem is not convex in โ€ฆ

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Engineering Preprint PDF DOI

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI

Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J Seibel, Junjun He, Yu Qiao ยท 2024

Large Vision-Language Models (LVLMs) are capable of handling diverse data types such as imaging, text, and physiological signals, and can be applied in various fields. In the medical field, LVLMs haveโ€ฆ

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Engineering Preprint PDF DOI

Deep Learning-based Intraoperative MRI Reconstruction

Jon Andre Ottesen, Tryggve Storas, Svein Are Sirirud Vatnehol, Grethe L{o}vland, Einar O. Vik-Mo, Till Schellhorn, Karoline Skogen, Christopher Larsson, Atle Bj{o}rnerud, Inge Rasmus Groote-Eindbaas, Matthan W.A. Caan ยท 2024

Purpose: To evaluate the quality of deep learning reconstruction for prospectively accelerated intraoperative magnetic resonance imaging (iMRI) during resective brain tumor surgery. Materials and Meโ€ฆ

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Engineering Preprint PDF DOI

A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing

Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Micha{l} Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi ยท 2023

Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles' perception, planning, and control skills. The recent emergence of autonomous nano-sized drone racing imposes new cโ€ฆ

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Engineering Preprint PDF DOI

Distributed Estimation with Partially Accessible Information: An IMAT Approach to LMS Diffusion

Mahdi Shamsi, Farokh Marvasti ยท 2023

Distributed algorithms, particularly Diffusion Least Mean Square, are widely favored for their reliability, robustness, and fast convergence in various industries. However, limited observability of thโ€ฆ

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Engineering Preprint PDF DOI

Analysing race and sex bias in brain age prediction

Carolina Picarra, Ben Glocker ยท 2023

Brain age prediction from MRI has become a popular imaging biomarker associated with a wide range of neuropathologies. The datasets used for training, however, are often skewed and imbalanced regardinโ€ฆ

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Engineering Preprint PDF DOI

A Semi-automatic Oriental Ink Painting Framework for Robotic Drawing from 3D Models

Hao Jin, Minghui Lian, Shicheng Qiu, Xuxu Han, Xizhi Zhao, Long Yang, Zhiyi Zhang, Haoran Xie, Kouichi Konno, Shaojun Hu ยท 2023

Creating visually pleasing stylized ink paintings from 3D models is a challenge in robotic manipulation. We propose a semi-automatic framework that can extract expressive strokes from 3D models and drโ€ฆ

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Engineering Preprint PDF DOI

Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI

Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabregue, Ninon Burgos, Stephane Lehericy, Daniel Racoceanu, Olivier Colliot, the ICEBERG Study Group ยท 2022

Early and accurate diagnosis of parkinsonian syndromes is critical to provide appropriate care to patients and for inclusion in therapeutic trials. The red nucleus is a structure of the midbrain that โ€ฆ

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Engineering Preprint PDF DOI

MeSLAM: Memory Efficient SLAM based on Neural Fields

Evgenii Kruzhkov, Alena Savinykh, Pavel Karpyshev, Mikhail Kurenkov, Evgeny Yudin, Andrei Potapov, Dzmitry Tsetserukou ยท 2022

Existing Simultaneous Localization and Mapping (SLAM) approaches are limited in their scalability due to growing map size in long-term robot operation. Moreover, processing such maps for localization โ€ฆ

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Engineering Preprint PDF DOI

Window Filtering Algorithm for Pulsed Light Coherent Combining of Low Repetition Frequency

Jiali Zhang, Jie Cao, Qun Hao, Yang Cheng, Liquan Dong, Bin Han, Xuesheng Liu ยท 2022

The multi-dithering method has been well verified in phase locking of polarization coherent combination experiment. However, it is hard to apply to low repetition frequency pulsed lasers, since there โ€ฆ

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Automated segmentation of 3-D body composition on computed tomography

Lucy Pu, Syed F. Ashraf, Naciye S Gezer, Iclal Ocak, Rajeev Dhupar ยท 2021

Purpose: To develop and validate a computer tool for automatic and simultaneous segmentation of body composition depicted on computed tomography (CT) scans for the following tissues: visceral adipose โ€ฆ

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Engineering Preprint PDF DOI

Improved gradient descent-based chroma subsampling method for color images in VVC

Kuo-Liang Chung, Szu-Ni Chen, Yu-Ling Lee, Chao-Liang Yu ยท 2020

Prior to encoding color images for RGB full-color, Bayer color filter array (CFA), and digital time delay integration (DTDI) CFA images, performing chroma subsampling on their converted chroma images โ€ฆ

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Engineering Preprint PDF DOI

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI

Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Mehmet Akcakaya, Ulas Bagci ยท 2020

Segmentation of thigh tissues (muscle, fat, inter-muscular adipose tissue (IMAT), bone, and bone marrow) from magnetic resonance imaging (MRI) scans is useful for clinical and research investigations โ€ฆ

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