期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Conventional RGB-D salient object detection methods aim to leverage depth as complementary information to find the salient regions in both modalities.......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Invertible image decolorization is a useful color compression technique to reduce the cost in multimedia systems. Invertible decolorization aims to sy......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
An image can be decomposed into two parts: the basic content and details, which usually correspond to the low-frequency and high-frequency information......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Deep learning (DL) is inherently subject to the requirement of a large amount of well-labeled data, which is expensive and time-consuming to obtain ma......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
At present, most saliency detection methods are based on fully convolutional neural networks (FCNs). However, FCNs usually blur the edges of salient o......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Due to the wide applications in a rapidly increasing number of different fields, 3D shape recognition has become a hot topic in the computer vision fi......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Face hallucination or super-resolution is a practical application of general image super-resolution which has been recently studied by many researcher......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Feature pyramid network (FPN) based models, which fuse the semantics and salient details in a progressive manner, have been proven highly effective in......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
The balance between high accuracy and high speed has always been a challenging task in semantic image segmentation. Compact segmentation networks are ......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
There are two main issues in RGB-D salient object detection: (1) how to effectively integrate the complementarity from the cross-modal RGB-D data; (2)......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Deep learning has recently been intensively studied in the context of image compressive sensing (CS) to discover and represent complicated image struc......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Current state-of-the-art two-stage detectors heavily rely on region proposals to guide the accurate detection for objects. In previous region proposal......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
In this paper, a competitive no-reference metric is proposed to assess the perceptive quality of screen content images (SCIs), which uses the human vi......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Image stitching for two images without a global transformation between them is notoriously difficult. In this paper, noticing the importance of semant......
期刊： IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 ()
Minimizing the computation complexity is essential for the popularization of deep networks in practical applications. Nowadays, most researches attemp......
