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1
Regular languages extended with reduplication: Formal models, proofs and illustrations
Wang, Yang. - : eScholarship, University of California, 2021
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2
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
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3
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
Zhang, Qiyuan; Wang, Lei; Yu, Sicheng. - : arXiv, 2021
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4
Recognizing Reduplicated Forms: Finite-State Buffered Machines ...
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5
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network ...
Ye, Linwei; Rochan, Mrigank; Liu, Zhi. - : arXiv, 2021
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6
A Sequence-to-Sequence Approach to Dialogue State Tracking ...
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7
Assessment of Use and Fit of Face Masks Among Individuals in Public During the COVID-19 Pandemic in China
In: JAMA Netw Open (2021)
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8
Dual Convolutional LSTM Network for Referring Image Segmentation ...
Ye, Linwei; Liu, Zhi; Wang, Yang. - : arXiv, 2020
Abstract: We consider referring image segmentation. It is a problem at the intersection of computer vision and natural language understanding. Given an input image and a referring expression in the form of a natural language sentence, the goal is to segment the object of interest in the image referred by the linguistic query. To this end, we propose a dual convolutional LSTM (ConvLSTM) network to tackle this problem. Our model consists of an encoder network and a decoder network, where ConvLSTM is used in both encoder and decoder networks to capture spatial and sequential information. The encoder network extracts visual and linguistic features for each word in the expression sentence, and adopts an attention mechanism to focus on words that are more informative in the multimodal interaction. The decoder network integrates the features generated by the encoder network at multiple levels as its input and produces the final precise segmentation mask. Experimental results on four challenging datasets demonstrate that the ... : 12 pages, accepted for publication in IEEE Transactions on Multimedia ...
Keyword: Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2001.11561
https://arxiv.org/abs/2001.11561
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9
Natural language guided image and video understanding
Ye, Linwei. - 2020
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10
Cross-Modal Self-Attention Network for Referring Image Segmentation ...
Ye, Linwei; Rochan, Mrigank; Liu, Zhi. - : arXiv, 2019
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11
A critical review of 'English' in China's English education: How far can Chinese teachers embrace ELF?
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12
DeepDDK: A Deep Learning based Oral-Diadochokinesis Analysis Software
In: IEEE EMBS Int Conf Biomed Health Inform (2019)
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13
Translation Analysis of Metaphor Translation in the Black Slaves
In: Cross-Cultural Communication; Vol 15, No 4 (2019): Cross-Cultural Communication; 11-14 ; 1923-6700 ; 1712-8358 (2019)
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14
Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data ...
Li, Hao; Wang, Yang; Liu, Xinyu. - : arXiv, 2018
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15
Relations Between Self-Reported Daily-Life Fatigue, Hearing Status, and Pupil Dilation During a Speech Perception in Noise Task
In: Ear Hear (2018)
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16
The Pupil Dilation Response During Speech Perception in Dark and Light: The Involvement of the Parasympathetic Nervous System in Listening Effort
Wang, Yang; Kramer, Sophia E.; Wendt, Dorothea. - : SAGE Publications, 2018
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17
Immigrants’ Use of eHealth Services in the United States, National Health Interview Survey, 2011-2015
Wang, Yang; Do, D. Phuong; Wilson, Fernando A.. - : SAGE Publications, 2018
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18
Relations between self-reported daily-life fatigue, hearing status and pupil dilation during a speech perception in noise task
Wang, Yang; Naylor, Graham; Kramer, Sophia E.. - : Lippincott, Williams & Wilkins, 2018
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19
Relations between self-reported daily-life fatigue, hearing status, and pupil dilation during a speech perception in noise task
Wang, Yang; Naylor, Graham; Kramer, Sophia E.. - : Lippincott, Williams & Wilkins, 2018
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20
Application of polyscale methods for speaker verification
Sedigh, Sina. - 2018
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