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 ...

Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...

Enrolling in an online college program can often be a more affordable and flexible alternative to an in-person degree, especially for students juggling a job or family responsibilities. While online ...

Discover which academic programs are still accepting applications for admission to upcoming sessions. Please note that programs may close at any point after the official deadline without warning. If ...

Abstract: The increasing popularity of generative AI has led to a significant rise in deepfake content, creating an urgent need for generalized and reliable deepfake detection methods. Since existing ...