Nature

Introduction to the Theory of Fourier Integrals

SINCE the publication of Prof. Zygmund's “Trigonometric Series” in 1935, there has been considerable demand for another book dealing with trigonometric integrals. Prof. Titchmarsh's book meets this ...
IEEE

Enhancing Interpretability of Convolutional Neural Networks with Dynamic Weighted Path Integral

The interpretability of Convolutional Neural Networks (CNNs) has garnered significant attention in computer vision. Integrated Gradients (IG), as a widely used feature attribution method, quantifies ...
IEEE

A Novel Tensor Causal Convolution Network Model for Highly-Accurate Representation to Spatio-Temporal Data

Abstract: Spatio-temporal data like a Dynamically Weighted Directed Network (DWDN) are ubiquitous in bigdata applications like an intelligent recommender system. They commonly illustrate the complex ...
GitHub

ESC: Emulating Self-attention with Convolution for Efficient Image Super-Resolution

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...
GitHub

[AAAI 2026]Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection

Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection" we also add our config in https://github.com/zcablii/LSKNet and ...