Histology analysis of the tumor micro-environment integrated with genomi...
End-to-end region-based object detectors like Sparse R-CNN usually have
...
Purpose: Congenital heart defect (CHD) is the most common birth defect.
...
In semi-supervised medical image segmentation, there exist empirical mis...
We propose an efficient decoupled mask autoencoder (EDMAE) for standard ...
We propose a novel teacher-student model for semi-supervised multi-organ...
Pre-trained vision-language models like CLIP have recently shown superio...
Without densely tiled anchor boxes or grid points in the image, sparse R...
Benefited from the rich and detailed spectral information in hyperspectr...
Controllable person image synthesis task enables a wide range of applica...
Unpaired image-to-image (I2I) translation often requires to maximize the...
Existing GAN inversion methods fail to provide latent codes for reliable...
It has been a common practice to adopt the ResBlock, which learns the
di...
The image-to-image translation (I2IT) model takes a target label or a
re...
Image-to-image (I2I) translation is usually carried out among discrete
d...
For people who ardently love painting but unfortunately have visual
impa...
Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety...
View synthesis is usually done by an autoencoder, in which the encoder m...
Sturge-Weber syndrome (SWS) is a vascular malformation disease, and it m...
This paper presents an unobtrusive solution that can automatically ident...
Coronavirus Disease 2019 (COVID-19) has spread all over the world since ...
Novel view synthesis often needs the paired data from both the source an...
Research significance: During the epidemic prevention and control period...
This paper aims to disentangle the latent space in cVAE into the spatial...