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检索条件"机构=Pattern Recognition and Machine Intelligence"
309 条 记 录,以下是1-10 订阅
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Optimal KAZE and AKAZE Features for Facial Similarity Matching  1
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Proceedings of the 7th International Conference on Advances in Computing and Data Sciences, ICACDS 2023
作者: Vinay, A. Vasu, Kishan Athirala Lodha, Pranav Yogi Natarajan, S. Sudarshan, T.S.B. Center for Pattern Recognition and Machine Intelligence PES University Bengaluru560085 India
Face recognition is one of the premier disciplines in the vast field of computer vision and image analysis. A popular method is the Gaussian scale space analysis which limits the performance by smoothing both the nois... 详细信息
来源: 评论
Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation
Discrete Cross-Modal Alignment Enables Zero-Shot Speech Tran...
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2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
作者: Wang, Chen Liu, Yuchen Chen, Boxing Zhang, Jiajun Luo, Wei Huang, Zhongqiang Zong, Chengqing National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China Machine Intelligence Technology Lab Alibaba DAMO Academy China
End-to-end Speech Translation (ST) aims at translating the source language speech into target language text without generating the intermediate transcriptions. However, the training of end-to-end methods relies on par... 详细信息
来源: 评论
Enhancement of Degraded CCTV Footage for Forensic Analysis  3rd
Enhancement of Degraded CCTV Footage for Forensic Analysis
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3rd International Conference on Innovative Computing and Communication, ICICC 2020
作者: Vinay, A. Lokesh, Aditya Kamath, Vinayaka R. Murty, K.N.B. Natarajan, S. Center for Pattern Recognition and Machine Intelligence PES University Bengaluru India
Forensic analysis has proved to be one of the most utilitarian tool in investigating crime. Forensic analysis provides evidence/basic information of the said crime through analysis of physical evidence. In this paper,... 详细信息
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CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers  29
CMQA: A Dataset of Conditional Question Answering with Multi...
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29th International Conference on Computational Linguistics, COLING 2022
作者: Ju, Yiming Wang, Weikang Zhang, Yuanzhe Zheng, Suncong Liu, Kang Zhao, Jun National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Machine Learning Platform Department Tencent China
Forcing the answer of the Question Answering (QA) task to be a single text span might be restrictive since the answer can be multiple spans in the context. Moreover, we found that multi-span answers often appear with ... 详细信息
来源: 评论
Shop Signboards Detection Using the ShoS Dataset  3rd
Shop Signboards Detection Using the ShoS Dataset
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3rd International Conference on pattern recognition and Artificial intelligence, ICPRAI 2022
作者: Almuhajri, Mrouj Suen, Ching Y. Centre for Pattern Recognition and Machine Intelligence Concordia University MontrealQCH3G 2W1 Canada Department of Computer Science Saudi Electronic University Riyadh Saudi Arabia
This work was driven by the possibility of enabling beneficial applications for humans and municipal agencies utilizing deep learning techniques to detect shop signboards. Data is the foundation of successful AI-based... 详细信息
来源: 评论
Multi-label learning on principles of reverse k-nearest neighbourhood
Multi-label learning on principles of reverse k-nearest neig...
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作者: Sadhukhan, Payel Palit, Sarbani Machine Intelligence Unit Indian Statistical Institute Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
In this article, we present a novel neighbourhood based multi-label classifier, Multi-label Learning on principles of Reverse k-Nearest Neighbourhood (ML-RkNN) where we estimate the neighbourhood of the points on the ... 详细信息
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CCLSL: Combination of Contrastive Learning and Supervised Learning for Handwritten Mathematical Expression recognition  16th
CCLSL: Combination of Contrastive Learning and Supervised ...
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16th Asian Conference on Computer Vision, ACCV 2022
作者: Lin, Qiqiang Huang, Xiaonan Bi, Ning Suen, Ching Y. Tan, Jun School of Mathematics and Computational Science Sun Yat-Sen University Guangzhou510275 China Guangdong Province Key Laboratory of Computational Science Sun Yat-Sen University Guangzhou510275 China Centre for Pattern Recognition and Machine Intelligence Concordia University MontrealQCH3G 1M8 Canada
Handwritten Mathematical Expressions differ considerably from ordinary linear handwritten texts, due to their two-dimentional structures plus many special symbols and characters. Hence, HMER(Handwritten Mathematical E... 详细信息
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Advancing biological super-resolution microscopy through deep learning: a brief review
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Biophysics Reports 2021年 第4期7卷 253-266页
作者: Tianjie Yang Yaoru Luo Wei Ji Ge Yang Institute of Biophysics Chinese Academy of Sciences College of Life Sciences University of Chinese Academy of Sciences Laboratory of Computational Biology and Machine Intelligence School of Artificial IntelligenceUniversity of Chinese Academy of Sciences National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of Sciences
Biological super-resolution microscopy is a new generation of imaging techniques that overcome the ~200 nm diffraction limit of conventional light microscopy in spatial resolution. By providing novel spatial or spati... 详细信息
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Residual and Ensemble Learning on Locally Derived Features for Face recognition  1
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5th International Symposium on Intelligent Systems Technologies and Applications, ISTA 2019
作者: Vinay, A. Gupta, Abhijay Bharadwaj, Aprameya Srinivasan, Arvind Balasubramanya Murthy, K.N. Natarajan, S. Centre for Pattern Recognition and Machine Intelligence PES University BengaluruKA560085 India
In this paper, an efficient approach toward face recognition is presented. The proposed model is invariant to pose, expression, scale, illumination, and translation with the application of different techniques and imp... 详细信息
来源: 评论
Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation
arXiv
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arXiv 2022年
作者: Wang, Chen Liu, Yuchen Chen, Boxing Zhang, Jiajun Luo, Wei Huang, Zhongqiang Zong, Chengqing National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China Machine Intelligence Technology Lab Alibaba DAMO Academy China
End-to-end Speech Translation (ST) aims at translating the source language speech into target language text without generating the intermediate transcriptions. However, the training of end-to-end methods relies on par... 详细信息
来源: 评论