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  1. No Access

    Chapter and Conference Paper

    PDTW150K: A Dataset for Patent Drawing Retrieval

    We introduce a new large-scale patent dataset termed PDTW150K for patent drawing retrieval. The dataset contains more than 150,000 patents associated with text metadata and over 850,000 patent drawings. We als...

    Chan-Ming Hsu, Tse-Hung Lin, Yu-Hsien Chen, Chih-Yi Chiu in MultiMedia Modeling (2024)

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    Chapter and Conference Paper

    Vector Quantized Image-to-Image Translation

    Current image-to-image translation methods formulate the task with conditional generation models, leading to learning only the recolorization or regional changes as being constrained by the rich structural inf...

    Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng in Computer Vision – ECCV 2022 (2022)

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    Chapter and Conference Paper

    Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

    Pulmonary nodule detection from lung computed tomography (CT) scans has been an active clinical research direction, benefiting the early diagnosis of lung cancer related disease. However, state-of-the-art deep...

    Hao-Hsiang Yang, Fu-En Wang, Cheng Sun in Medical Image Computing and Computer Assis… (2021)

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    Chapter and Conference Paper

    Learning Camera-Aware Noise Models

    Modeling imaging sensor noise is a fundamental problem for image processing and computer vision applications. While most previous works adopt statistical noise models, real-world noise is far more complicated ...

    Ke-Chi Chang, Ren Wang, Hung-** Lin, Yu-Lun Liu in Computer Vision – ECCV 2020 (2020)

  5. Chapter and Conference Paper

    Transfer Neural Trees for Heterogeneous Domain Adaptation

    Heterogeneous domain adaptation (HDA) addresses the task of associating data not only across dissimilar domains but also described by different types of features. Inspired by the recent advances of neural netw...

    Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai in Computer Vision – ECCV 2016 (2016)

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    Chapter and Conference Paper

    A Frame-Based Approach for Reference Metadata Extraction

    In this paper, we propose a novel frame-based approach (FBA) and use reference metadata extraction as a case study to demonstrate its advantages. The main contributions of this research are three-fold. First, ...

    Yu-Lun Hsieh, Shih-Hung Liu, Ting-Hao Yang in Technologies and Applications of Artificia… (2014)

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    Chapter and Conference Paper

    A Direction-Sensitive Routing Protocol for Underwater Wireless Sensor Networks

    Underwater wireless sensor networks are expected to explore natural undersea resources and gathering of scientific data in aqueous environments. The characteristics of mobile underwater sensor networks, such a...

    Chenn-Jung Huang, Yu-Wu Wang, Hung-Yen Shen in Next-Generation Applied Intelligence (2009)

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    Chapter and Conference Paper

    Tracking Control of the Z-Tilts Error Compensation Stage of the Nano-measuring Machine Using Capacitor Insertion Method

    This paper deals with the design of the capacitor insertion method for the three degree-of-freedom (DOF) flexible and deformation mechanisms aimed to eliminate hysteresis effects in piezoelectric actuators. By...

    Van-Tsai Liu, Chien-Hung Liu, Tsai-Yuan Chen in Advanced Intelligent Computing Theories an… (2007)

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    Chapter and Conference Paper

    Type-2 Fuzzy Neuro System Via Input-to-State-Stability Approach

    This paper proposes the type-2 fuzzy neural network system (type-2 FNN) which combines the advantages of type-2 fuzzy logic systems (FLSs) and neural networks (NNs). For considering the system uncertainties, w...

    Ching-Hung Lee, Yu-Ching Lin in Advances in Neural Networks – ISNN 2007 (2007)

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    Chapter and Conference Paper

    A Method for Calibrating a Motorized Object Rig

    Object Movies (OMs) have been successfully used in many applications. However, the techniques for acquiring OMs still need to be improved if high-quality and efficient OMs are desired. In this paper, we presen...

    Pang-Hung Huang, Yu-Pao Tsai, Wan-Yen Lo, Sheng-Wen Shih in Computer Vision – ACCV 2006 (2006)

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    Chapter and Conference Paper

    Augmented Stereo Panoramas

    Panoramas and object movies are popular image-based techniques for modeling and rendering 3D scenes and objects. In this paper, we present a method which allows the authors of virtual exhibition systems to pro...

    Chien-Wei Chen, Li-Wei Chan, Yu-Pao Tsai, Yi-** Hung in Computer Vision – ACCV 2006 (2006)