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315. MiR-22 as a metabolic silencer and liver tumor suppressor.

Author

Wang, Lijun, Wang, Yu-Shiuan, Mugiyanto, Eko, Chang, Wei-Chiao, and Yvonne Wan, Yu-Jui

Subjects
Cancer, Hepatitis, Liver, Metabolism, MicroRNA-22(miR-22), Non-alcoholic steatohepatitis, Steatosis
Abstract

With obesity rate consistently increasing, a strong relationship between obesity and fatty liver disease has been discovered. More than 90% of bariatric surgery patients also have non-alcoholic fatty liver diseases (NAFLDs). NAFLD and non-alcoholic steatohepatitis (NASH), which are the hepatic manifestations of metabolic syndrome, can lead to liver carcinogenesis. Unfortunately, there is no effective medicine that can be used to treat NASH or liver cancer. Thus, it is critically important to understand the mechanism underlying the development of these diseases. Extensive evidence suggests that microRNA 22 (miR-22) can be a diagnostic marker for liver diseases as well as a treatment target. This review paper focuses on the roles of miR-22 in metabolism, steatosis, and liver carcinogenesis. Literature search is limited based on the publications included in the PubMed database in the recent 10 years.

Published
2020

316. DeepLens: Shallow Depth Of Field From A Single Image

Author

Wang, Lijun, Shen, Xiaohui, Zhang, Jianming, Wang, Oliver, Lin, Zhe, Hsieh, Chih-Yao, Kong, Sarah, and Lu, Huchuan

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

We aim to generate high resolution shallow depth-of-field (DoF) images from a single all-in-focus image with controllable focal distance and aperture size. To achieve this, we propose a novel neural network model comprised of a depth prediction module, a lens blur module, and a guided upsampling module. All modules are differentiable and are learned from data. To train our depth prediction module, we collect a dataset of 2462 RGB-D images captured by mobile phones with a dual-lens camera, and use existing segmentation datasets to improve border prediction. We further leverage a synthetic dataset with known depth to supervise the lens blur and guided upsampling modules. The effectiveness of our system and training strategies are verified in the experiments. Our method can generate high-quality shallow DoF images at high resolution, and produces significantly fewer artifacts than the baselines and existing solutions for single image shallow DoF synthesis. Compared with the iPhone portrait mode, which is a state-of-the-art shallow DoF solution based on a dual-lens depth camera, our method generates comparable results, while allowing for greater flexibility to choose focal points and aperture size, and is not limited to one capture setup., Comment: 11 pages, 15 figures, accepted by SIGGRAPH Asia 2018, low-resolution version

Published
2018

317. Learning regression and verification networks for long-term visual tracking

Author

Zhang, Yunhua, Wang, Dong, Wang, Lijun, Qi, Jinqing, and Lu, Huchuan

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Compared with short-term tracking, the long-term tracking task requires determining the tracked object is present or absent, and then estimating the accurate bounding box if present or conducting image-wide re-detection if absent. Until now, few attempts have been done although this task is much closer to designing practical tracking systems. In this work, we propose a novel long-term tracking framework based on deep regression and verification networks. The offline-trained regression model is designed using the object-aware feature fusion and region proposal networks to generate a series of candidates and estimate their similarity scores effectively. The verification network evaluates these candidates to output the optimal one as the tracked object with its classification score, which is online updated to adapt to the appearance variations based on newly reliable observations. The similarity and classification scores are combined to obtain a final confidence value, based on which our tracker can determine the absence of the target accurately and conduct image-wide re-detection to capture the target successfully when it reappears. Extensive experiments show that our tracker achieves the best performance on the VOT2018 long-term challenge and state-of-the-art results on the OxUvA long-term dataset., Comment: 9 pages

Published
2018

319. Adaptive Co-teaching for Unsupervised Monocular Depth Estimation

Author

Ren, Weisong, Wang, Lijun, Piao, Yongri, Zhang, Miao, Lu, Huchuan, Liu, Ting, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Avidan, Shai, editor, Brostow, Gabriel, editor, Cissé, Moustapha, editor, Farinella, Giovanni Maria, editor, and Hassner, Tal, editor

Published
2022
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320. MVSalNet: Multi-view Augmentation for RGB-D Salient Object Detection

Author

Zhou, Jiayuan, Wang, Lijun, Lu, Huchuan, Huang, Kaining, Shi, Xinchu, Liu, Bocong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Avidan, Shai, editor, Brostow, Gabriel, editor, Cissé, Moustapha, editor, Farinella, Giovanni Maria, editor, and Hassner, Tal, editor

Published
2022
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324. Eyeball Lesions

Author

Zheng, Shaowei, Wang, Lijun, Tang, Zuohua, Li, Hongjun, editor, Xia, Shuang, editor, and Lyu, Yubo, editor

Published
2022
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326. Optic Neuritis

Author

Zheng, Shaowei, Wang, Lijun, Li, Hongjun, editor, Xia, Shuang, editor, and Lyu, Yubo, editor

Published
2022
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327. Orbital Lesions

Author

Zheng, Shaowei, Wang, Lijun, Tang, Zuohua, Li, Hongjun, editor, Xia, Shuang, editor, and Lyu, Yubo, editor

Published
2022
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328. Virtual Display and Interaction System Design of Bingxi Scroll Painting Based on Augmented Reality Technique

Author

Du, Yihang, Pei, Yan, Wang, Lijun, Bai, Chenzong, Niu, Ke, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Chu, Shu-Chuan, editor, Lin, Jerry Chun-Wei, editor, Li, Jianpo, editor, and Pan, Jeng-Shyang, editor

Published
2022
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