Automatic fact-checking plays a crucial role in combating the spread of
...
In this paper, we present a novel Amplitude-Modulated Stochastic Perturb...
Self-supervised representation learning (SSRL) has gained increasing
att...
The study of ancient writings has great value for archaeology and philol...
Photometric stereo recovers the surface normals of an object from multip...
User videos shared on social media platforms usually suffer from degrada...
High dynamic range (HDR) imaging is a fundamental problem in image
proce...
Misinformation spreading becomes a critical issue in online conversation...
This paper considers the problem of generating an HDR image of a scene f...
Recent studies on learning-based image denoising have achieved promising...
Dynamic scene deblurring is a challenging problem in computer vision. It...
Multi-task learning is an effective learning strategy for deep-learning-...
Convolutional neural network (CNN)-based image denoising methods have be...
For image recognition, an extensive number of methods have been proposed...
Recent random-forest (RF)-based image super-resolution approaches inheri...
Fine-grained recognition is a challenging task due to the small
intra-ca...
The constrained local model (CLM) proposes a paradigm that the locations...
Most existing person re-identification (ReID) methods rely only on the
s...
In this paper, we present a random-forest based fast cascaded regression...
A novel locally statistical active contour model (ACM) for image segment...