This technical report presents AutoGen, a new framework that enables
dev...
Video frame interpolation (VFI) is a challenging task that aims to gener...
Previous work optimizes traditional active learning (AL) processes with
...
Generative models have recently exhibited exceptional capabilities in va...
Interactive segmentation has recently been explored to effectively and
e...
Blind face restoration usually synthesizes degraded low-quality data wit...
The goal of this paper is to augment a pre-trained text-to-image diffusi...
Existing models on super-resolution often specialized for one scale,
fun...
Learning a graph topology to reveal the underlying relationship between ...
A large gap exists between fully-supervised object detection and
weakly-...
Weakly-supervised temporal action localization aims to localize actions ...
Differentiating Vertebral Compression Fractures (VCFs) associated with t...
Deep Learning-based methods recently have achieved remarkable progress i...
Recently, learning based video compression methods attract increasing
at...
Existing automatic 3D image segmentation methods usually fail to meet th...
Video frame interpolation aims to synthesize nonexistent frames in-betwe...
Conventional video compression approaches use the predictive coding
arch...
Motion estimation (ME) and motion compensation (MC) have been widely use...
In this paper, we propose a partition-masked Convolution Neural Network ...