Despite significant progress in shadow detection, current methods still
...
By integrating complementary information from RGB image and depth map, t...
Self-attention based Transformer has achieved great success in many comp...
Due to the light absorption and scattering induced by the water medium,
...
The emergence of digital avatars has raised an exponential increase in t...
Salient object detection (SOD) aims to determine the most visually attra...
The hippocampus plays a vital role in the diagnosis and treatment of man...
For the video salient object detection (VSOD) task, how to excavate the
...
In recent years, RGB-T salient object detection (SOD) has attracted
cont...
Video quality is a primary concern for video service providers. In recen...
High-quality face images are required to guarantee the stability and
rel...
The statistical regularities of natural images, referred to as natural s...
Fully-supervised salient object detection (SOD) methods have made great
...
The coronavirus disease 2019 (COVID-19) continues to have a negative imp...
In this paper, a novel and effective image quality assessment (IQA) algo...
Existing deep learning-based full-reference IQA (FR-IQA) models usually
...
Consistent quality oriented rate control in video coding has attracted m...
The spread of COVID-19 has brought a huge disaster to the world, and the...
Getting rid of the fundamental limitations in fitting to the paired trai...
Salient Object Detection is the task of predicting the human attended re...
Video coding is a video compression technique that compresses the origin...
The introduction of multiple viewpoints inevitably increases the bitrate...
The ever-growing multimedia traffic has underscored the importance of
ef...
The goal of co-salient object detection (CoSOD) is to discover salient
o...
In intra coding, Rate Distortion Optimization (RDO) is performed to achi...
In this paper, we propose a distortion-aware loop filtering model to imp...
Recent years have witnessed the dramatically increased interest in face
...
Convolution neural networks (CNNs) have succeeded in compressive image
s...
Videos are developing in the trends of Ultra High Definition (UHD), High...
Objective image quality evaluation is a challenging task, which aims to
...
Salient object detection (SOD) for optical remote sensing images (RSIs) ...
The technological advancements of deep learning have enabled sophisticat...
Automatically evaluating the quality of image captions can be very
chall...
Symmetric nonnegative matrix factorization (SNMF) has demonstrated to be...
Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitiv...
There has been an increasing consensus in learning based face anti-spoof...
In this work, we aim to learn an unpaired image enhancement model, which...
Improving the aesthetic quality of images is challenging and eager for t...
The image captioning task is about to generate suitable descriptions fro...
Superpixel segmentation aims at dividing the input image into some
repre...
Despite the remarkable advances in visual saliency analysis for natural ...
This paper addresses the problem of generating dense point clouds from g...
Image-to-Image (I2I) translation is a heated topic in academia, and it a...
Light field (LF) images acquired by hand-held devices usually suffer fro...
In this work, we propose a novel rate control algorithm for Versatile Vi...
The forthcoming Versatile Video Coding (VVC) standard adopts the
trellis...
Compactly representing the visual signals is of fundamental importance i...
Sketch-to-image (S2I) translation plays an important role in image synth...
Downsampling is a commonly-used technique in 3D point cloudprocessing fo...
This paper explores the problem of multi-view spectral clustering (MVSC)...