Results 81 to 90 of about 431,572 (197)

Spatiotemporal Modeling for Video Summarization Using Convolutional Recurrent Neural Network

open access: yesIEEE Access, 2019
In this paper, a novel neural network named CRSum for the video summarization task is proposed. The proposed network integrates feature extraction, temporal modeling, and summary generation into an end-to-end architecture.
Yuan Yuan, Haopeng Li, Qi Wang
semanticscholar   +1 more source

Recurrent Convolutional Network for Video-based Person Re-Identification

open access: yes, 2016
In this paper we propose a novel recurrent neural networkarchitecture for video-based person re-identification.Given the video sequence of a person, features are extracted from each frame using a convolutional neural network that incorporates a recurrent
Martinez del Rincon, Jesus; id_orcid   +5 more
core   +1 more source

Lipreading with convolutional and recurrent neural network models [PDF]

open access: yes, 2017
Lip reading is the process of speech recognition from solely visual information. The goal of this thesis is to perform a silence vs. speech classification, and to recognize the triphone spoken by a talking head, given only the video using neural network ...
Zhu, Tianyilin
core  

Comparing recurrent and convolutional neural networks for predicting wave propagation [PDF]

open access: yes, 2020
Dynamical systems can be modelled by partial differential equations and numerical computations are used everywhere in science and engineering. In this work, we investigate the performance of recurrent and convolutional deep neural network architectures ...
Pignatelli, Eduardo   +5 more
core  

GCRNN: graph convolutional recurrent neural network for compound-protein interaction prediction. [PDF]

open access: yesBMC Bioinformatics, 2022
Elbasani E   +5 more
europepmc   +1 more source

Prediction of Solar Energy Generation Sequence Using Convolutional Recurrent Neural Network Encoder-Decoder [PDF]

open access: yes, 2018
학위논문 (석사)-- 서울대학교 대학원 : 공과대학 산업공학과, 2018. 2. 조성준.최근 재생 가능한 에너지 사업 시장의 규모가 점차 확대되고 있다. 특히 에너지 사용량이 많은 기업, 공공 기관 등에서는 에너지 관련 비용 감소를 위해 태양광 발전 등과 같은 재생 가능한 에너지를 이용한다. 건물 에너지 관리 시스템의 효율적 운영을 위해서는 주요 에너지 공급원인 태양광 발전량을 미리 예측하는 것이 중요하며 본 연구에서 이를 진행하였다.
박인범
core  

LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis

open access: yes, 2021
To be published in the Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval-2020), Barcelona, Spain, Sep. Association for Computational LinguisticsThis paper describes the participation of LIMSI UPV team in SemEval-2020 Task 9 ...
Ghannay, Sahar   +4 more
core  

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