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Showing 216 results for "masako kishida" in Engineering
Engineering Preprint PDF DOI

Mask World Model: Predicting What Matters for Robust Robot Policy Learning

Yunfan Lou, Xiaowei Chi, Xiaojie Zhang, Zezhong Qian, Chengxuan Li, Rongyu Zhang, Yaoxu Lyu, Guoyu Song, Chuyao Fu, Haoxuan Xu, Pengwei Wang, Shanghang Zhang · 2026

World models derived from large-scale video generative pre-training have emerged as a promising paradigm for generalist robot policy learning. However, standard approaches often focus on high-fidelity…

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Engineering Preprint PDF DOI

Symbol-Level Mask-Compliant Hybrid Precoding for Multi-User MIMO-OFDM Systems

Navid Reyhanian, Parisa Ramezani, Emil Bjornson · 2026

Millimeter-wave (mmWave) technology is a crucial enabler for next-generation networks because it offers substantially greater available bandwidth. mmWave multiple-input multiple-output (MIMO) systems …

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Engineering Preprint PDF DOI

CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework

Shida Jiang, Shengyu Tao, Zihe Liu, Scott Moura · 2026

The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces complex covariance propagation with simple ensemble statistics. However, conven…

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Engineering Preprint PDF DOI

Design Guidelines for Nonlinear Kalman Filters via Covariance Compensation

Shida Jiang, Jaewoong Lee, Shengyu Tao, Scott Moura · 2026

Nonlinear extensions of the Kalman filter (KF), such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are indispensable for state estimation in complex dynamical systems, yet…

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Engineering Preprint PDF DOI

Towards Object Segmentation Mask Selection Using Specular Reflections

Katja Kossira, Yunxuan Zhu, Jurgen Seiler, Andre Kaup · 2026

Specular reflections pose a significant challenge for object segmentation, as their sharp intensity transitions often mislead both conventional algorithms and deep learning based methods. However, as …

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Engineering Preprint PDF DOI

AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm Coordination

Wanhao Liu, Junhong Dai, Yixuan Zhang, Shengyun Yin, Panshuo Li · 2026

Cooperative path planning for heterogeneous UAV swarms poses significant challenges for Multi-Agent Reinforcement Learning (MARL), particularly in handling asymmetric inter-agent dependencies and addr…

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Engineering Preprint PDF DOI

From Diet to Free Lunch: Estimating Auxiliary Signal Properties using Dynamic Pruning Masks in Speech Enhancement Networks

Riccardo Miccini, Clement Laroche, Tobias Piechowiak, Xenofon Fafoutis, Luca Pezzarossa · 2026

Speech Enhancement (SE) in audio devices is often supported by auxiliary modules for Voice Activity Detection (VAD), SNR estimation, or Acoustic Scene Classification to ensure robust context-aware beh…

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Engineering Preprint PDF DOI

Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct

Lucia Borrego, Vajira Thambawita, Marco Ciuffreda, Ines del Val, Alejandro Dominguez, Josep Munuera · 2026

The scarcity of high-quality segmentation masks remains a major bottleneck for medical image analysis, particularly in non-contrast CT (NCCT) neuroimaging, where manual annotation is costly and variab…

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Engineering Preprint PDF DOI

Internalized Morphogenesis: A Self-Organizing Model for Growth, Replication, and Regeneration via Local Token Exchange in Modular Systems

Takeshi Ishida · 2026

This study presents an internalized morphogenesis model for autonomous systems, such as swarm robotics and micro-nanomachines, that eliminates the need for external spatial computation. Traditional se…

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Engineering Preprint PDF DOI

BridgeV2W: Bridging Video Generation Models to Embodied World Models via Embodiment Masks

Yixiang Chen, Peiyan Li, Jiabing Yang, Keji He, Xiangnan Wu, Yuan Xu, Kai Wang, Jing Liu, Nianfeng Liu, Yan Huang, Liang Wang · 2026

Embodied world models have emerged as a promising paradigm in robotics, most of which leverage large-scale Internet videos or pretrained video generation models to enrich visual and motion priors. How…

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Engineering Preprint PDF DOI

mmWave Sensing for Detecting Movement Through Thermoplastic Masks During Radiation Therapy Treatment

Ali Kourani, Naveed A. Abbasi, Syeda Narjis Fatima, Katsuyuki Haneda, Andreas F. Molisch · 2026

Precision in radiation therapy relies on immobilization systems that limit patient motion. Thermoplastic masks are commonly used for this purpose, but subtle voluntary and involuntary movements such a…

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Engineering Preprint PDF DOI

Test-Time Adaptation For Speech Enhancement Via Mask Polarization

Tobias Raichle, Erfan Amini, Bin Yang · 2026

Adapting speech enhancement (SE) models to unseen environments is crucial for practical deployments, yet test-time adaptation (TTA) for SE remains largely under-explored due to a lack of understanding…

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Engineering Preprint PDF DOI

Purification Before Fusion: Toward Mask-Free Speech Enhancement for Robust Audio-Visual Speech Recognition

Linzhi Wu, Xingyu Zhang, Hao Yuan, Yakun Zhang, Changyan Zheng, Liang Xie, Tiejun Liu, Erwei Yin · 2026

Audio-visual speech recognition (AVSR) typically improves recognition accuracy in noisy environments by integrating noise-immune visual cues with audio signals. Nevertheless, high-noise audio inputs a…

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Engineering Preprint PDF DOI

Low-complexity spectral shaping method for OFDM signals with dynamically adaptive emission mask

Javier Gimenez, Jose A. Cortes, Luis Diez · 2025

Orthogonal frequency division multiplexing (OFDM) signals with rectangular pulses exhibit low spectral confinement. Shaping their power spectral density (PSD) is imperative in the increasingly overcro…

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Engineering Preprint PDF DOI

Rethinking Gaussian-Windowed Wavelets for Damping Identification

Hadi M. Daniali, Martin v. Mohrenschildt · 2025

In modal analysis, the prevalent use of Gaussian-based wavelets (such as Morlet and Gabor) for damping estimation is rarely questioned. In this study, we challenge this conventional approach by system…

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Engineering Preprint PDF DOI

Task-Specific Sparse Feature Masks for Molecular Toxicity Prediction with Chemical Language Models

Kwun Sy Lee, Jiawei Chen, Fuk Sheng Ford Chung, Tianyu Zhao, Zhenyuan Chen, Debby D. Wang · 2025

Reliable in silico molecular toxicity prediction is a cornerstone of modern drug discovery, offering a scalable alternative to experimental screening. However, the black-box nature of state-of-the-art…

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Engineering Preprint PDF DOI

Towards Effective and Efficient Non-autoregressive decoders for Conformer and LLM-based ASR using Block-based Attention Mask

Tianzi Wang, Xurong Xie, Zengrui Jin, Mengzhe Geng, Jiajun Deng, Zhaoqing Li, Shoukang Hu, Shujie Hu, Guinan Li, Mingyu Cui, Helen Meng, Xunying Liu · 2025

Automatic speech recognition (ASR) systems often rely on autoregressive (AR) Transformer decoder architectures, which limit efficient inference parallelization due to their sequential nature. To this …

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Engineering Preprint PDF DOI

MAKO: Meta-Adaptive Koopman Operators for Learning-based Model Predictive Control of Parametrically Uncertain Nonlinear Systems

Minghao Han, Kiwan Wong, Adrian Wing-Keung Law, Xunyuan Yin · 2025

In this work, we propose a meta-learning-based Koopman modeling and predictive control approach for nonlinear systems with parametric uncertainties. An adaptive deep meta-learning-based modeling appro…

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Engineering Preprint PDF DOI

Learning Scan-Adaptive MRI Undersampling Patterns with Pre-Optimized Mask Supervision

Aryan Dhar, Siddhant Gautam, Saiprasad Ravishankar · 2025

Deep learning techniques have gained considerable attention for their ability to accelerate MRI data acquisition while maintaining scan quality. In this work, we present a convolutional neural network…

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Engineering Preprint PDF DOI

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations

Yibo Bai, Sizhou Chen, Michele Panariello, Xiao-Lei Zhang, Massimiliano Todisco, Nicholas Evans · 2025

Speaker verification systems are increasingly deployed in security-sensitive applications but remain highly vulnerable to adversarial perturbations. In this work, we propose the Mask Diffusion Detecto…

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