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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 Hits 1 – 20 of 82 1 Domain-Adversarial Based Model with Phonological Knowledge for Cross-Lingual Speech Recognition Zuluaga-Gomez, Juan; Zhan, Qingran; Cheng, Haobo... In: http://infoscience.epfl.ch/record/291292 (2022) BASE Show details 2 Online Literacy Instruction for Young Korean Dual Language Learners in General Education Kim, Sunyoung; Kang, Veronica; Kim, Hanae... In: J Behav Educ (2022) BASE Show details 3 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 6 From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network ... Wang, Yuxin; Xie, Hongtao; Fang, Shancheng; Wang, Jing; Zhu, Shenggao; Zhang, Yongdong. - : arXiv, 2021 Abstract: In this paper, we abandon the dominant complex language model and rethink the linguistic learning process in the scene text recognition. Different from previous methods considering the visual and linguistic information in two separate structures, we propose a Visual Language Modeling Network (VisionLAN), which views the visual and linguistic information as a union by directly enduing the vision model with language capability. Specially, we introduce the text recognition of character-wise occluded feature maps in the training stage. Such operation guides the vision model to use not only the visual texture of characters, but also the linguistic information in visual context for recognition when the visual cues are confused (e.g. occlusion, noise, etc.). As the linguistic information is acquired along with visual features without the need of extra language model, VisionLAN significantly improves the speed by 39% and adaptively considers the linguistic information to enhance the visual features for accurate ... : Accept by ICCV2021 ... Keyword: Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2108.09661 https://arxiv.org/abs/2108.09661 BASE Hide details 7 Temporal trends in incidence and mortality rates of laryngeal cancer at the global, regional and national levels, 1990–2017 Wang, Jing-Yuan; Zhang, Qiang-Wei; Wen, Kaixue... In: BMJ Open (2021) BASE Show details 8 Development and Validation of an Unethical Professional Behavior Tendencies Scale for Student Teachers Wang, Jing; Wang, Xin-qiang; Li, Jia-yuan... In: Front Psychol (2021) BASE Show details 9 Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study Singh, Tavleen; Olivares, Sofia; Cohen, Trevor... In: J Med Internet Res (2021) BASE Show details 10 The second language acquisition of the Chinese aspect marker "le" Wang, Jing. - : University of Kansas, 2021 BASE Show details 11 Measurement of single-diffractive dijet production in proton-proton collisions at $\sqrt{s} =$ 8 TeV with the CMS and TOTEM experiments Sirunyan, Albert M; Tumasyan, Armen; Adam, Wolfgang... In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-02507664 ; Eur.Phys.J.C, 2020, 80 (12), pp.1164. ⟨10.1140/epjc/s10052-020-08562-y⟩ (2020) BASE Show details 12 Lens on China: Intermediate and Advanced Readings on Film for Learning Chinese Tian, Xi; Wang, Jing In: Faculty Books (2020) BASE Show details 13 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 14 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 15 Neural representations of the concepts in simple sentences: Concept activation prediction and context effects ... Just, Marcel; Wang, Jing; Cherkassky, Vladimir. - : Carnegie Mellon University, 2020 BASE Show details 16 Neural representations of the concepts in simple sentences: Concept activation prediction and context effects ... Just, Marcel; Wang, Jing; Cherkassky, Vladimir. - : Carnegie Mellon University, 2020 BASE Show details 17 The role of growth mindset, self-efficacy and intrinsic value in self-regulated learning and English language learning achievements ... Bai, Barry; Wang, Jing. - : SAGE Journals, 2020 BASE Show details 18 The role of growth mindset, self-efficacy and intrinsic value in self-regulated learning and English language learning achievements ... Bai, Barry; Wang, Jing. - : SAGE Journals, 2020 BASE Show details 19 Measurement of the top quark mass with lepton+jets final states using $\mathrm {p}$ $\mathrm {p}$ collisions at $\sqrt{s}=13\,\text {TeV} $ Sirunyan, Albert M; Tumasyan, Armen; Adam, Wolfgang... In: http://infoscience.epfl.ch/record/275278 (2020) BASE Show details 20 Conversational topics of social media messages associated with state-level mental distress rates Bowen, Daniel A.; Wang, Jing; Holland, Kristin... In: J Ment Health (2020) BASE Show details Page: 1 2 3 4 5

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