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检索条件"机构=Xiamen Key Laboratory of Computer Vision and Pattern Recognition"
135 条 记 录,以下是51-60 订阅
排序:
Handwritten Mathematical Expression recognition with Self-Attention  21
Handwritten Mathematical Expression Recognition with Self-At...
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Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
作者: Xueke Chi Da-Han Wang Yuefeng Wu Yun Wu Fujian Key Laboratory of Pattern Recognition and Image Understanding China and School of Computer and Information Engineering Xiamen University of Technology China
Attention-based encoder-decoder models have made great success on handwritten mathematical expression recognition in recent years. However, this kind of method has the problem of attention drift, because under the loc... 详细信息
来源: 评论
Stain-Adaptive Self-Supervised Learning for Histopathology Image Analysis
arXiv
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arXiv 2022年
作者: Ye, Hai-Li Wang, Da-Han Department of Computer and Information Engineering Xiamen University of Technology Xiamen361000 China Fujian Provincial Key Laboratory of Pattern Recognition and Image Understanding Xiamen361000 China
It is commonly recognized that color variations caused by differences in stains is a critical issue for histopathology image analysis. Existing methods adopt color matching, stain separation, stain transfer or the com... 详细信息
来源: 评论
Anomaly Handwritten Text Detection for Automatic Descriptive Answer Evaluation  11
Anomaly Handwritten Text Detection for Automatic Descriptive...
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11th International Conference on Computing and pattern recognition, ICCPR 2022
作者: Chatterjee, Nilanjana Shivakumara, Palaiahnaakote Pal, Umapada Lu, Tong Lu, Yue Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia National Key Lab for Novel Software Technology Nanjing University Nanjing China Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University Shanghai China
Although there are advanced technologies for character recognition, automatic descriptive answer evaluation is an open challenge for the document image analysis community due to large diversified handwritten text and ... 详细信息
来源: 评论
DegAE: A New Pretraining Paradigm for Low-Level vision
DegAE: A New Pretraining Paradigm for Low-Level Vision
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Conference on computer vision and pattern recognition (CVPR)
作者: Yihao Liu Jingwen He Jinjin Gu Xiangtao Kong Yu Qiao Chao Dong Shanghai Artificial Intelligence Laboratory ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institute of Advanced Technology Chinese Academy of Sciences University of Chinese Academy of Sciences The University of Sydney
Self-supervised pretraining has achieved remarkable success in high-level vision, but its application in low-level vision remains ambiguous and not well-established. What is the primitive intention of pretraining? Wha...
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Hierarchical Local Global Transformer for Point Clouds Analysis
SSRN
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SSRN 2023年
作者: Li, Dilong Zheng, Shenghong Chen, Ziyi Li, Xiang Wang, Lanying Du, Jixiang College of Computer Science and Technology Fujian Key Laboratory of Big Data Intelligence and Security Xiamen Key Laboratory of Computer Vision and Pattern Recognition Xiamen Key Laboratory of Data Security and Blockchain Technology Huaqiao University FJ Xiamen361021 China School of Economics and Finance Huaqiao University FJ Quanzhou362021 China Department of Geography and Environmental Management University of Waterloo WaterlooONN2L 3G1 Canada
Transformer networks have demonstrated remarkable performance in point cloud analysis. However, achieving a balance between local regional context and global long-range context learning remains a significant challenge... 详细信息
来源: 评论
Fast Algorithm for Parallel Solving Inversion of Large Scale Small Matrices Based on Gpu
SSRN
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SSRN 2022年
作者: Jin, Xuebin Chen, Yewang Fan, Wentao Zhang, Yong Du, Jixiang The College of Computer Science and Technology Huaqiao University Xiamen China Fujian Key Laboratory of Big Data Intelligence and Security Huaqiao University Xiamen China Xiamen Key Laboratory of Computer Vision and Pattern Recognition Huaqiao University China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow China College of Mechanical Engineering and Automation Huaqiao University Xiamen China
Inverting a matrix is time-consuming, and many works focus on accelerating inverting a single large matrix by GPU. However, the problem of inverting large-scale small matrices has little attention. In this paper, we p... 详细信息
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Real-time 3D human pose estimation without skeletal a priori structures
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Image and vision Computing 2023年 132卷
作者: Bai, Guihu Luo, Yanmin Pan, Xueliang Wang, Jia Guo, Jing-Ming College of Computer Science and Technology Huaqiao University 668 Jimei Avenue Jimei District Fujian Xiamen361021 China Key Laboratory for Computer Vision and Pattern Recognition Huaqiao University 668 Jimei Avenue Jimei District Fujian Xiamen361021 China The Department of Electrical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan
This study is about real-time 2D-3D human pose estimation without using the a priori structure of the skeleton and with a low number of parameters for regression tasks. Current graph convolution-based 3D human pose ta... 详细信息
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Local Neighbor Propagation on Graphs for Robust Feature Matching
SSRN
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SSRN 2023年
作者: Guo, Hanlin Xiao, Guobao Su, Lumei Zhou, Jiaxing Wang, Dahan Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering and Automation Xiamen University of Technology China Fujian Key Laboratory of Sensing and Computing for Smart Cities School of Information Science and Engineering Xiamen University China College of Computer and Control Engineering Minjiang University China Fujian Key Laboratory of Pattern Recognition and Image Understanding School of Computer and Information Engineering Xiamen University of Technology China
Establishing reliable correspondences between two sets of feature points is a critical preprocessing step in many computer vision and pattern recognition tasks. In this paper, we propose a novel robust Local Neighbor ... 详细信息
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Activating More Pixels in Image Super-Resolution Transformer
Activating More Pixels in Image Super-Resolution Transformer
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Conference on computer vision and pattern recognition (CVPR)
作者: Xiangyu Chen Xintao Wang Jiantao Zhou Yu Qiao Chao Dong State Key Laboratory of Internet of Things for Smart City University of Macau Shenzhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shanghai Artificial Intelligence Laboratory ARC Lab Tencent PCG
Transformer-based methods have shown impressive performance in low-level vision tasks, such as image super-resolution. However, we find that these networks can only utilize a limited spatial range of input information...
来源: 评论
UNIFORMER: UNIFIED TRANSFORMER FOR EFFICIENT SPATIOTEMPORAL REPRESENTATION LEARNING  10
UNIFORMER: UNIFIED TRANSFORMER FOR EFFICIENT SPATIOTEMPORAL ...
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10th International Conference on Learning Representations, ICLR 2022
作者: Li, Kunchang Wang, Yali Gao, Peng Song, Guanglu Liu, Yu Li, Hongsheng Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China Shanghai AI Laboratory Shanghai China SenseTime Research The Chinese University of Hong Kong Hong Kong
It is a challenging task to learn rich and multi-scale spatiotemporal semantics from high-dimensional videos, due to large local redundancy and complex global dependency between video frames. The recent advances in th... 详细信息
来源: 评论