Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Yunlian Sun"'
Publikováno v:
IEEE Access, Vol 7, Pp 160091-160100 (2019)
To ensure the photovoltaic (PV) arrays under partial shading condition(PSC) could still output maximum power quickly and efficiently, this work presents a modified hybrid maximum power point tracking (MPPT) method, which applies artificial neural net
Externí odkaz:
https://doaj.org/article/5c783f9d28544162b34e057e3e10e98c
Publikováno v:
Energies, Vol 11, Iss 6, p 1532 (2018)
The normal communication between smart meter and concentrator is a key factor influencing the normal function of users’ power consumption systems. To solve the communication failure of the smart meter caused by the signal conflict as well as the co
Externí odkaz:
https://doaj.org/article/bb3cc0d402b940b79653342523329e7c
Publikováno v:
IEEE Transactions on Information Forensics and Security. 17:2425-2436
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5e0a3a088225860c1797e4697c641d6
https://doi.org/10.1109/tifs.2022.3186803
https://doi.org/10.1109/tifs.2022.3186803
Publikováno v:
Neurocomputing. 451:167-180
Generative adversarial networks (GANs) have recently achieved impressive results in facial age synthesis. However, these methods usually select an autoencoder-style generator. And the bottleneck layer in the encoder-decoder generally gives rise to bl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc3059759b7852949a8592687c8ede83
https://doi.org/10.1016/j.neucom.2021.04.068
https://doi.org/10.1016/j.neucom.2021.04.068
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 32:663-674
This article aims to tackle the problem of group activity recognition in the multiple-person scene. To model the group activity with multiple persons, most long short-term memory (LSTM)-based methods first learn the person-level action representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b15ce4bfce054d596ab129ffb2efef24
https://doi.org/10.1109/tnnls.2020.2978942
https://doi.org/10.1109/tnnls.2020.2978942
Ganet: Unary Attention Reaches Pairwise Attention Via Implicit Group Clustering in Light-Weight CNNs
Autor:
Cheng Zhuang, Yunlian Sun
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c4f600836f2f2b0468b98f0b08d5822
https://doi.org/10.1109/icassp43922.2022.9746895
https://doi.org/10.1109/icassp43922.2022.9746895
Autor:
Jie Jiang, Yunlian Sun
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1ec06ca1694792a826584c088e33937
https://doi.org/10.1109/icassp43922.2022.9747840
https://doi.org/10.1109/icassp43922.2022.9747840
Publikováno v:
Pattern Recognition Letters. 138:520-526
This work aims to freely translate an input face to an aging face with robust identity preservation, satisfying aging effect and authentic visual appearance. Witnessing the success of GAN in image synthesis, researchers employ GAN to address the prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b90e417cadbf8e1b1c0d790c8a641dc
https://doi.org/10.1016/j.patrec.2020.08.021
https://doi.org/10.1016/j.patrec.2020.08.021
Publikováno v:
IEEE Transactions on Cybernetics. 50:2138-2151
In feature learning tasks, one of the most enormous challenges is to generate an efficient discriminative subspace. In this paper, we propose a novel subspace learning method, named recursive discriminative subspace learning with an ${\ell }_{{1}}$ -
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98357522de71a564cba66b91f42c10b9
https://doi.org/10.1109/tcyb.2018.2882924
https://doi.org/10.1109/tcyb.2018.2882924
Publikováno v:
IEEE Transactions on Information Forensics and Security. 15:2960-2972
Facial image synthesis has been extensively studied, for a long time, in both computer graphics and computer vision. Particularly, the synthesis of face images with varying ages, expressions and poses has received an increasing attention owing to sev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c09e9e05787b748dc939e3d9721c0af8
https://doi.org/10.1109/tifs.2020.2980792
https://doi.org/10.1109/tifs.2020.2980792