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1
Local-Global Context Aware Transformer for Language-Guided Video Segmentation ...
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2
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning ...
Li, Juncheng; Xie, Junlin; Qian, Long. - : arXiv, 2022
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3
Cumulative Effects of Physical, Chemical, and Biological Measures on Algae Growth Inhibition
In: Water; Volume 14; Issue 6; Pages: 877 (2022)
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4
Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation ...
Liang, Chen; Wu, Yu; Zhou, Tianfei. - : arXiv, 2021
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5
Contrastive Video-Language Segmentation ...
Liang, Chen; Luo, Yawei; Wu, Yu. - : arXiv, 2021
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6
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes ...
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7
Constructing a Psychometric Testbed for Fair Natural Language Processing ...
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8
Juegos serios en web para la auto-protección y prevención del COVID-19: Desarrollo y pruebas de usabilidad
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 69, 2021 (Ejemplar dedicado a: Participación ciudadana en la esfera digital), pags. 97-111 (2021)
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9
Large-scale multilingual audio visual dubbing ...
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10
ActBERT: Learning Global-Local Video-Text Representations ...
Zhu, Linchao; Yang, Yi. - : arXiv, 2020
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11
Speech-to-Singing Conversion in an Encoder-Decoder Framework ...
Abstract: In this paper our goal is to convert a set of spoken lines into sung ones. Unlike previous signal processing based methods, we take a learning based approach to the problem. This allows us to automatically model various aspects of this transformation, thus overcoming dependence on specific inputs such as high quality singing templates or phoneme-score synchronization information. Specifically, we propose an encoder--decoder framework for our task. Given time-frequency representations of speech and a target melody contour, we learn encodings that enable us to synthesize singing that preserves the linguistic content and timbre of the speaker while adhering to the target melody. We also propose a multi-task learning based objective to improve lyric intelligibility. We present a quantitative and qualitative analysis of our framework. ... : Accepted at IEEE ICASSP 2020 ...
Keyword: Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD
URL: https://dx.doi.org/10.48550/arxiv.2002.06595
https://arxiv.org/abs/2002.06595
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12
Symbiotic Attention with Privileged Information for Egocentric Action Recognition ...
Wang, Xiaohan; Wu, Yu; Zhu, Linchao. - : arXiv, 2020
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13
Grounded and Controllable Image Completion by Incorporating Lexical Semantics ...
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14
The Informativeness of Text, the Deep Learning Approach
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15
Measurement of $W^{\pm}$-boson and $Z$-boson production cross-sections in $pp$ collisions at $\sqrt{s}=2.76$ TeV with the ATLAS detector
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16
Baidu-UTS Submission to the EPIC-Kitchens Action Recognition Challenge 2019 ...
Wang, Xiaohan; Wu, Yu; Zhu, Linchao. - : arXiv, 2019
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17
Китайско-русский параллельный дискурсивный корпус: выравнивание на уровне клаузы и статистический анализ ; Chinese-Russian Parallel Discourse Corpus: Alignment of Clauses and Statistical Analysis
Ян, И.; Yang, Yi. - : Уральский федеральный университет, 2018
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18
Extensive translation of circular RNAs driven by N6-methyladenosine
Yang, Yun; Fan, Xiaojuan; Mao, Miaowei. - : Nature Publishing Group, 2017
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19
Part-of-Speech Tagging for Historical English ...
Yang, Yi; Eisenstein, Jacob. - : arXiv, 2016
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20
Китайско-русский параллельный корпус с дискурсивно-структурной разметкой: теоретические аспекты ; Theoretical aspects of building a Chinese-Russian Parallel Corpus with discourse-structure annotation
Yang Yi; Ян И. - : Кабинетный ученый, 2016
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