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522 results on '"Wang, Likai"'

2. Smart Design and Optimization of a Universal and Low-Cost Double-Tailed UAV

Author

Luo, Lilong, Chang, Liang, Nie, Xiaohua, Wang, Likai, Guo, Wenjie, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Tan, Kay Chen, Series Editor, and Fu, Song, editor

Published
2024
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3. A Benchmark of Video-Based Clothes-Changing Person Re-Identification

Author

Wang, Likai, Zhang, Xiangqun, Han, Ruize, Yang, Jialin, Li, Xiaoyu, Feng, Wei, and Wang, Song

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Person re-identification (Re-ID) is a classical computer vision task and has achieved great progress so far. Recently, long-term Re-ID with clothes-changing has attracted increasing attention. However, existing methods mainly focus on image-based setting, where richer temporal information is overlooked. In this paper, we focus on the relatively new yet practical problem of clothes-changing video-based person re-identification (CCVReID), which is less studied. We systematically study this problem by simultaneously considering the challenge of the clothes inconsistency issue and the temporal information contained in the video sequence for the person Re-ID problem. Based on this, we develop a two-branch confidence-aware re-ranking framework for handling the CCVReID problem. The proposed framework integrates two branches that consider both the classical appearance features and cloth-free gait features through a confidence-guided re-ranking strategy. This method provides the baseline method for further studies. Also, we build two new benchmark datasets for CCVReID problem, including a large-scale synthetic video dataset and a real-world one, both containing human sequences with various clothing changes. We will release the benchmark and code in this work to the public.

Published
2022

4. From Indoor To Outdoor: Unsupervised Domain Adaptive Gait Recognition

Author

Wang, Likai, Han, Ruize, Feng, Wei, and Wang, Song

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Gait recognition is an important AI task, which has been progressed rapidly with the development of deep learning. However, existing learning based gait recognition methods mainly focus on the single domain, especially the constrained laboratory environment. In this paper, we study a new problem of unsupervised domain adaptive gait recognition (UDA-GR), that learns a gait identifier with supervised labels from the indoor scenes (source domain), and is applied to the outdoor wild scenes (target domain). For this purpose, we develop an uncertainty estimation and regularization based UDA-GR method. Specifically, we investigate the characteristic of gaits in the indoor and outdoor scenes, for estimating the gait sample uncertainty, which is used in the unsupervised fine-tuning on the target domain to alleviate the noises of the pseudo labels. We also establish a new benchmark for the proposed problem, experimental results on which show the effectiveness of the proposed method. We will release the benchmark and source code in this work to the public.

Published
2022

5. Analyses of a chromosome-scale genome assembly reveal the origin and evolution of cultivated chrysanthemum

Author

Song, Aiping, Su, Jiangshuo, Wang, Haibin, Zhang, Zhongren, Zhang, Xingtan, Van de Peer, Yves, Chen, Fei, Fang, Weimin, Guan, Zhiyong, Zhang, Fei, Wang, Zhenxing, Wang, Likai, Ding, Baoqing, Zhao, Shuang, Ding, Lian, Liu, Ye, Zhou, Lijie, He, Jun, Jia, Diwen, Zhang, Jiali, Chen, Chuwen, Yu, Zhongyu, Sun, Daojin, Jiang, Jiafu, Chen, Sumei, and Chen, Fadi

Published
2023
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6. Combining the Silhouette and Skeleton Data for Gait Recognition

Author

Wang, Likai, Han, Ruize, and Feng, Wei

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Gait recognition, a long-distance biometric technology, has aroused intense interest recently. Currently, the two dominant gait recognition works are appearance-based and model-based, which extract features from silhouettes and skeletons, respectively. However, appearance-based methods are greatly affected by clothes-changing and carrying conditions, while model-based methods are limited by the accuracy of pose estimation. To tackle this challenge, a simple yet effective two-branch network is proposed in this paper, which contains a CNN-based branch taking silhouettes as input and a GCN-based branch taking skeletons as input. In addition, for better gait representation in the GCN-based branch, we present a fully connected graph convolution operator to integrate multi-scale graph convolutions and alleviate the dependence on natural joint connections. Also, we deploy a multi-dimension attention module named STC-Att to learn spatial, temporal and channel-wise attention simultaneously. The experimental results on CASIA-B and OUMVLP show that our method achieves state-of-the-art performance in various conditions., Comment: Accepted by IEEE ICASSP 2023

Published
2022

13. A Design Ranking Method for Many-Objective Evolutionary Optimization

Author

Wang, Likai, Tung, Do Phuong Bui, Janssen, Patrick, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Turrin, Michela, editor, Andriotis, Charalampos, editor, and Rafiee, Azarakhsh, editor

Published
2023
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23. DESIGN OF ELASTIC SKIN AND HONEYCOMB SANDWICH CONNECTION SCHEME FOR COMPOSITE FLEXIBLE SKIN (MT)

Author

GUO YuChao, AI Sen, YIN WeiLong, WANG LiKai, and NIE XiaoHua

Subjects
Flexible skin, Elastic skin, Honeycomb structure, Two-step bonding, Direct bonding, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

In order to solve the problem of low connection strength between elastic skin and honeycomb sandwich of composite flexible skin for variant aircraft, a “two-step bonding” connection scheme is proposed. Firstly, the polyurethane fiber cloth and honeycomb are bonded by epoxy resin structural adhesive, then the silicone rubber sheet and the spandex fiber cloth are bonded by the silicone rubber adhesive, and the manufacturing method is given. Finally, “two-step bonding” experimental piece and “direct bonding” experimental piece were prepared respectively, and the bonding strength experiment and comparative analysis were carried out, The results show that the bonding strength of the “two-step bonding” experimental piece is five times that of the “direct bonding” experimental piece.

Published
2023
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27. Neural Network based Deep Transfer Learning for Cross-domain Dependency Parsing

Author

Xia, Zhentao, Wang, Likai, Qu, Weiguang, Zhou, Junsheng, and Gu, Yanhui

Subjects
Computer Science - Computation and Language
Abstract

In this paper, we describe the details of the neural dependency parser sub-mitted by our team to the NLPCC 2019 Shared Task of Semi-supervised do-main adaptation subtask on Cross-domain Dependency Parsing. Our system is based on the stack-pointer networks(STACKPTR). Considering the im-portance of context, we utilize self-attention mechanism for the representa-tion vectors to capture the meaning of words. In addition, to adapt three dif-ferent domains, we utilize neural network based deep transfer learning which transfers the pre-trained partial network in the source domain to be a part of deep neural network in the three target domains (product comments, product blogs and web fiction) respectively. Results on the three target domains demonstrate that our model performs competitively., Comment: paper for NLPCC 2019 Shared Task of Semi-supervised domain adaptation subtask on Cross-domain Dependency Parsing

Published
2019

30. Optimization of Loss Function for Pedestrian Detection

Author

Zhang, Shuo, Zhang, Kailiang, An, Yuan, Li, Shuo, Sun, Yong, Liu, Weiwei, Wang, Likai, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Jiang, Dingde, editor, and Song, Houbing, editor

Published
2022
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31. Research on Website Traffic Prediction Method Based on Deep Learning

Author

Bao, Rong, Zhang, Kailiang, Huang, Jing, Li, Yuxin, Liu, Weiwei, Wang, Likai, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Jiang, Dingde, editor, and Song, Houbing, editor

Published
2022
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35. Heterografting enhances chrysanthemums resistance to Alternaria alternata via jasmonate-mediated increases in trichomes and terpenoids

Author

Li, Wenjie, primary, Zhan, Qingling, additional, Guan, Yunxiao, additional, Wang, Likai, additional, Li, Song, additional, Zheng, Shanhu, additional, Ma, Hongyu, additional, Liu, Ye, additional, Ding, Lian, additional, Zhao, Shuang, additional, Wang, Zhenxing, additional, Jiang, Jiafu, additional, Fang, Weimin, additional, Chen, Fadi, additional, Chen, Sumei, additional, and Guan, Zhiyong, additional

Published
2024
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45. Image Denoising Method Based on Curvelet Transform in Telemedicine

Author

Yu, Yang, Li, Dan, Wang, Likai, Liu, Weiwei, Zhang, Kailiang, An, Yuan, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Song, Houbing, editor, and Jiang, Dingde, editor

Published
2021
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46. Research on Recognition Method of Test Answer Sheet Based on Machine Vision

Author

Cui, Ping, Li, Dan, Zhang, Kailiang, Wang, Likai, Liu, Weiwei, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Song, Houbing, editor, and Jiang, Dingde, editor

Published
2021
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49. Mitochondria of Porcine Oocytes Synthesize Melatonin, Which Improves Their In Vitro Maturation and Embryonic Development.

Author

Zhu, Tianqi, Yan, Laiqing, Deng, Shoulong, Ma, Wenkui, Xia, Fan, Wang, Likai, Ma, Xiao, Li, Guangdong, Shen, Zixia, Wang, Yiwei, Fu, Yao, Ji, Pengyun, Wang, Bingyuan, Zhang, Lu, and Liu, Guoshi

Subjects
EMBRYOLOGY, ELECTRON transport, MEMBRANE potential, OXIDATIVE phosphorylation, OVUM, MITOCHONDRIAL membranes
Abstract

The in vitro maturation efficiency of porcine oocytes is relatively low, and this limits the production of in vitro porcine embryos. Since melatonin is involved in mammalian reproductive physiology, in this study, we have explored whether endogenously produced melatonin can help in porcine oocyte in vitro maturation. We have found, for the first time in the literature, that mitochondria are the major sites for melatonin biosynthesis in porcine oocytes. This mitochondrially originated melatonin reduces ROS production and increases the activity of the mitochondrial respiratory electron transport chain, mitochondrial biogenesis, mitochondrial membrane potential, and ATP production. Therefore, melatonin improves the quality of oocytes and their in vitro maturation. In contrast, the reduced melatonin level caused by siRNA to knockdown AANAT (siAANAT) is associated with the abnormal distribution of mitochondria, decreasing the ATP level of porcine oocytes and inhibiting their in vitro maturation. These abnormalities can be rescued by melatonin supplementation. In addition, we found that siAANAT switches the mitochondrial oxidative phosphorylation to glycolysis, a Warburg effect. This metabolic alteration can also be corrected by melatonin supplementation. All these activities of melatonin appear to be mediated by its membrane receptors since the non-selective melatonin receptor antagonist Luzindole can blunt the effects of melatonin. Taken together, the mitochondria of porcine oocytes can synthesize melatonin and improve the quality of oocyte maturation. These results provide an insight from a novel aspect to study oocyte maturation under in vitro conditions. [ABSTRACT FROM AUTHOR]

Published
2024
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