We propose the geometry-informed neural operator (GINO), a highly effici...
In this paper, we present the details of Women in Computer Vision Worksh...
We present LSeg, a novel model for language-driven semantic image
segmen...
Recent advances in image synthesis enables one to translate images by
le...
In this paper we present the details of Women in Computer Vision Worksho...
Modern neural network training relies heavily on data augmentation for
i...
Although according to several benchmarks automatic machine reading
compr...
A widely deployed method for reducing the training time of deep neural
n...
In this technical report, we introduce FastFusionNet, an efficient varia...
In this paper, we present a comprehensive study and evaluation of existi...
The recent development of CNN-based image dehazing has revealed the
effe...
This paper proposes an image dehazing model built with a convolutional n...