As green hydrogen emerges as a key next-generation clean energy source, securing technologies that enable its stable and cost-effective production has become a critical challenge. However, ...
Abstract: Supervised methods on 3D medical image segmentation need large amounts of annotated data, but annotating is time-consuming. Also, existing 3D segmentation methods capture more global ...
Abstract: In this work, we replace Mamba in UMamba with recent xLSTM, and surprisingly, it works well! Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) have been pivotal in ...
Welcome to the L2M repository! This is the official implementation of our ICCV'25 paper titled "Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space". To enable training from single ...