4 papers
Rethinking Nighttime Image Deraining via Learnable Color Space Transformation
Qiyuan Guan, Xiang Chen, Guiyue Jin +4
Compared to daytime image deraining, nighttime image deraining poses significant challenges due to inherent complexities of nighttime scenarios and the lack of high-quality dataset…
WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration
Qiyuan Guan, Qianfeng Yang, Xiang Chen +3
Existing all-in-one image restoration approaches, which aim to handle multiple weather degradations within a single framework, are predominantly trained and evaluated using mixed s…
Learning A Spiking Neural Network for Efficient Image Deraining
Tianyu Song, Guiyue Jin, Pengpeng Li +3
Recently, spiking neural networks (SNNs) have demonstrated substantial potential in computer vision tasks. In this paper, we present an Efficient Spiking Deraining Network, called…
MPSA-DenseNet: A novel deep learning model for English accent classification
Tianyu Song, Linh Thi Hoai Nguyen, Ton Viet Ta
This paper presents three innovative deep learning models for English accent classification: Multi-DenseNet, PSA-DenseNet, and MPSE-DenseNet, that combine multi-task learning and t…