IEEE

Multi-Weather Restoration: An Efficient Prompt-Guided Convolution Architecture

Abstract: Addressing degraded weather conditions plays a vital role in practical applications. Many existing restoration approaches are limited to specific weather types, which limits their ...
IEEE

Rethinking Fast Fourier Convolution in Image Inpainting

Abstract: Recently proposed LaMa [25] introduce Fast Fourier Convolution (FFC) [4] into image inpainting. FFC empowers the fully convolutional network to have a global receptive field in its early ...
IEEE

Deformable Convolution-Guided Multiscale Feature Learning and Fusion for UAV Object Detection

Abstract: Object detection (OD) in unmanned aerial vehicle (UAV) images faces many challenges, with diverse-scale objects and small objects being particularly prominent issues. To alleviate these ...
IEEE

Graph Convolution Neural Network Based End-to-End Channel Selection and Classification for Motor Imagery Brain–Computer Interfaces

Abstract: Classification of electroencephalogram-based motor imagery (MI-EEG) tasks is crucial in brain–computer interface (BCI). EEG signals require a large number of channels in the acquisition ...
IEEE

Heterogeneous Spatiotemporal Graph Convolution Network for Multi-Modal Wind-PV Power Collaborative Prediction

Abstract: Accurate and generalized collaborative prediction of multi-cluster renewable energy power generation is both an inevitable trend and urgent demand as the growth of multi-region ...
IEEE

Fast Sparse DFT Computation for Arbitrary Length by Circular Convolution

Abstract: Efficient computation of the Discrete Fourier Transform (DFT) for signals with structured frequency support remains a significant challenge in signal processing. The traditional Fast Fourier ...
Science Daily

Light-powered chip makes AI 100 times more efficient

Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...
IEEE

Transformable Dilated Convolution by Distance for LiDAR Semantic Segmentation

Abstract: LiDAR semantic segmentation is essential in autonomous vehicle safety. A rotating 3D LiDAR projects more laser points onto nearby objects and fewer points onto farther objects. Therefore, ...
IEEE

Mixing Self-Attention and Convolution: A Unified Framework for Multisource Remote Sensing Data Classification

Abstract: Convolution and self-attention are two powerful techniques for multisource remote sensing (RS) data fusion that have been widely adopted in Earth observation tasks. However, convolutional ...
IEEE

SKGNet: Robotic Grasp Detection With Selective Kernel Convolution

Abstract: Real-time and accuracy are important evaluation metrics of robotic grasp detection algorithms. To further improve the accuracy on the premise of ensuring real-time performance, in this paper ...