U-Net style networks are commonly utilized in unsupervised image registr...
In this paper, we propose a novel 3D graph convolution based pipeline fo...
Unsupervised image registration commonly adopts U-Net style networks to
...
Graph is powerful for representing various types of real-world data. The...
Due to their extreme long-range modeling capability, vision transformer-...
Generative models have been widely proposed in image recognition to gene...
Deterministic approaches using iterative optimisation have been historic...
Data-driven deep learning approaches to image registration can be less
a...
In this paper, we focus on category-level 6D pose and size estimation fr...
We propose a geometry constrained network, termed GC-Net, for weakly
sup...
In this paper, we propose a novel real-time 6D object pose estimation
fr...
Despite the significant success in image-to-image translation and latent...
We proposed a two stage framework with only one network to analyze skin
...