Capturing images with incorrect exposure settings fails to deliver a
sat...
Modern displays are capable of rendering video content with high dynamic...
Moire patterns occur when capturing images or videos on screens, severel...
Image forgery detection aims to detect and locate forged regions in an i...
The under-display camera (UDC) provides consumers with a full-screen vis...
Identifying traffic accidents in driving videos is crucial to ensuring t...
Image super-resolution (SR) with generative adversarial networks (GAN) h...
This paper focuses on an important type of black-box attacks, i.e.,
tran...
The heightened realism of AI-generated images can be attributed to the r...
Since training a deep neural network (DNN) is costly, the well-trained d...
Pedestrian trajectory prediction task is an essential component of
intel...
With the development of deep learning, single image super-resolution (SI...
In this paper, we investigate the problem of hyperspectral (HS) image sp...
This paper reviews the challenge on constrained high dynamic range (HDR)...
Transformer-based methods have shown impressive performance in low-level...
Multimodal sentiment analysis has been studied under the assumption that...
Image forensics is a rising topic as the trustworthy multimedia content ...
Model protection is vital when deploying Convolutional Neural Networks (...
Deep learning models are known to be vulnerable to adversarial examples ...
Image representation is an important topic in computer vision and patter...
Deep neural networks (DNNs) have been shown to be vulnerable against
adv...
Deep learning (DL) has demonstrated its powerful capabilities in the fie...
Predicting human motion behavior in a crowd is important for many
applic...
Deep learning (DL) has demonstrated its powerful capabilities in the fie...
Many practical applications, e.g., content based image retrieval and obj...
This paper explores the problem of hyperspectral image (HSI) super-resol...
Recent works that utilized deep models have achieved superior results in...
In augmented reality (AR), correct and precise estimations of user's vis...