Xinyu Xiang

Dual-stage evolution mechanism of full-scale pore structure in lignite during low-temperature oxidation

Tianze Li, Bo Tan, Liyang Gao, Yunfei Zuo et autres

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Investigation of a Planar Modified Angular Log-Periodic Meander Slot-Line SWS at G-band

Xinyu Xiang, Lixia Yang, Shaomeng Wang

LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables

Xunpeng Yi, Yibing Zhang, Xinyu Xiang, Qinglong Yan et autres

Current advanced research on infrared and visible image fusion primarily focuses on improving fusion performance, often neglecting the applicability on real-time fusion devices. In this paper, we propose a novel approach that towards extremely fast fusion via distillation to learnable lookup tables …

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ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling

Xinyu Xiang, Qinglong Yan, Hao Zhang, Jiayi Ma

The research on adversarial attacks against trackers primarily concentrates on the RGB modality, whereas the methodology for attacking RGB-T multi-modal trackers has seldom been explored so far. This work represents an innovative attempt to develop an adaptive cross attack framework via multi-modal …

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Estimation method of electric vehicle battery remaining power based on particle filter algorithm

Hong Bing Xiao, Xia Lin, Jingwen Xu, Xinyu Xiang

As electric vehicles gain popularity, accurate power estimation can optimize vehicle energy management, extend battery life, and enhance the user’s driving experience. This paper suggests an approach for estimating the State of Charge using a particle filter, integrated with a second-order equivalent …

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Review and Outlook on Deep Learning for High-Resolution Power Time Series Reconstruction

Yihan Jiang, Xinyu Xiang, Xiurong Zhang

High-resolution time series reconstruction is crucial for enhancing the utility of sparse or low-quality data, with broad applications in industrial monitoring, signal processing, and energy management. Advances in deep learning and physical modeling have propelled computer science and electrical engineering to develop …

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C2RF: Bridging Multi-modal Image Registration and Fusion via Commonality Mining and Contrastive Learning

Linfeng Tang, Qinglong Yan, Xinyu Xiang, Leyuan Fang et autres

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Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker

Xinyu Xiang, Qinglong Yan, Hao Zhang, Jianfeng Ding et autres

Current research on adversarial attacks mainly focuses on RGB trackers, with no existing methods for attacking RGB-T cross-modal trackers. To fill this gap and overcome its challenges, we propose a progressive adversarial patch generation framework and achieve cross-modal stealth. On the one …

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Optical flow estimation in the dark with multilevel noise generation

Ang Li, Xinyu Xiang, Chuanzi Xu, Lin Xia et autres

Optical flow estimation in low-light scenes remains a challenging task due to the presence of significant imaging noise, which adversely affects the accuracy and robustness of the estimation. This paper proposes a novel approach for optical flow estimation that leverages Multi-Level Noise …

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Target detection method based on event-time surface feature fusion network

Chuanzi Xu, Ang Li, Tao Feng, Xinyu Xiang et autres

Target detection is a core task in computer vision, but traditional methods based on RGB images often encounter challenges such as computational complexity and high resource consumption. In contrast, event cameras have garnered significant attention due to their advantages, including high dynamic …

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Dual-Stage Evolution Mechanism of Full-Scale Pore Structure in Lignite During Low-Temperature Oxidation

Tianze Li, Bo Tan, Liyang Gao, Longkun Sui et autres

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Optimization and effect comparison of typical gas pressure compensation model in chemical industry park

Fuchao Tian, Xinyu Xiang, Jiliang Huang, Bo Tan

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