no code implementations • 18 Apr 2021 • Yu Xue, Yihang Tang, Xin Xu, Jiayu Liang, Ferrante Neri
Databases with missing data are likely to be unreliable.
no code implementations • 27 Oct 2021 • Yu Xue, Ziming Yuan, Adam Slowik
In this paper, we propose an efficient five-sleep-stage classification method using convolutional neural networks (CNNs) with a novel data processing trick and we design neural architecture search (NAS) technique based on genetic algorithm (GA), NAS-G, to search for the best CNN architecture.
no code implementations • 27 Oct 2021 • Yu Xue, Ziming Yuan, Ferrante Neri
It uses contextual information to recalibrate the input to strengthen the propagation of informative features.
no code implementations • 19 Feb 2022 • Yu Xue, Ziming Yuan
Most attention mechanisms are bound to the convolutional layer and use local or global contextual information to recalibrate the input.
no code implementations • 1 Aug 2022 • Yu Xue, Jiafeng Qin
Selecting a few channels with higher attention weights can better transmit important feature information into the search space and greatly improve search efficiency and memory utilization.
1 code implementation • ICCV 2023 • Wing-Yin Yu, Lai-Man Po, Ray C. C. Cheung, Yuzhi Zhao, Yu Xue, Kun Li
To address these issues, we propose a novel Deformable Motion Modulation (DMM) that utilizes geometric kernel offset with adaptive weight modulation to simultaneously perform feature alignment and style transfer.