IEEE

Combining Contextual Information by Integrated Attention Mechanism in Convolutional Neural Networks for Digital Elevation Model Super-Resolution

Abstract: High-resolution digital elevation models (HR DEMs) can provide accurate geographic information, which is widely used in flood risk evaluation, hazard mapping, and hydrological modeling. The ...
GitHub

Diffusion Transformers with Representation Autoencoders (RAE)

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...
GitHub

Revitalizing Convolutional Network for Image Restoration

All resulting images and pre-trained models are available in the provided links. 11/26/2024 Code for real haze and haze4k are released. 07/22/2024 We release the code for dehazing (ITS/OTS), desnowing ...
IEEE

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications

Abstract: We investigated the adaptation and performance of Masked Autoencoders (MAEs) with Vision Transformer (ViT) architectures for self-supervised representation learning on one-dimensional (1D) ...