Despite substantial efforts dedicated to the design of heuristic models ...
Multimodal Named Entity Recognition (MNER) is a crucial task for informa...
Current methods for few-shot segmentation (FSSeg) have mainly focused on...
A mainstream type of the state of the arts (SOTAs) based on convolutiona...
Rejecting correspondence outliers enables to boost the correspondence
qu...
The existing state-of-the-art (SOTA) video salient object detection (VSO...
With the increasing popularity and accessibility of high dynamic range (...
In this work, we point out that the major dilemma of image aesthetics
as...
Measuring perceptual color differences (CDs) is of great importance in m...
The existing state-of-the-art point descriptor relies on structure
infor...
This tutorial provides the audience with the basic theories, methodologi...
We describe a deep high-dynamic-range (HDR) image tone mapping operator ...
Nowadays, most existing blind image quality assessment (BIQA) models 1) ...
Anomaly detection has attracted considerable search attention. However,
...
Anomaly detection in surveillance videos is a challenging task due to th...
As it is said by Van Gogh, great things are done by a series of small th...
Semantic segmentation is an extensively studied task in computer vision,...
Despite the remarkable advances in visual saliency analysis for natural ...
High-efficiency video coding (HEVC) encryption has been proposed to encr...
The current main stream methods formulate their video saliency mainly fr...
Previous video salient object detection (VSOD) approaches have mainly fo...
Omnidirectional images (also referred to as static 360 panoramas)
impose...
Rain removal or deraining methods attempt to restore the clean backgroun...
Various saliency detection algorithms from color images have been propos...
To obtain effective pedestrian detection results in surveillance video, ...
Different from salient object detection methods for still images, a key
...
Bottom-up and top-down visual cues are two types of information that hel...
Many works have been done on salient object detection using supervised o...
As prior knowledge of objects or object features helps us make relations...