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20152022
most citedSingle Image Dehazing Using Ranking Convolutional Neural Network

146 citations · 263 across the 7 of their papers we have counts for

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9 papers · 1 filter

cs.CV20224 cited

Pyramid Grafting Network for One-Stage High Resolution Saliency Detection

Chenxi Xie, Changqun Xia, Mingcan Ma +3

Recent salient object detection (SOD) methods based on deep neural network have achieved remarkable performance. However, most of existing SOD models designed for low-resolution in…

cs.CV20211 cited

Receptive Field Broadening and Boosting for Salient Object Detection

Mingcan Ma, Changqun Xia, Chenxi Xie +2

Salient object detection requires a comprehensive and scalable receptive field to locate the visually significant objects in the image. Recently, the emergence of visual transforme…

cs.CV202151 cited

RGB-D Salient Object Detection with Ubiquitous Target Awareness

Yifan Zhao, Jiawei Zhao, Jia Li +1

Conventional RGB-D salient object detection methods aim to leverage depth as complementary information to find the salient regions in both modalities. However, the salient object d…

cs.CV20201 cited

Is Depth Really Necessary for Salient Object Detection?

Jiawei Zhao, Yifan Zhao, Jia Li +1

Salient object detection (SOD) is a crucial and preliminary task for many computer vision applications, which have made progress with deep CNNs. Most of the existing methods mainly…

cs.CV2020146 cited

Single Image Dehazing Using Ranking Convolutional Neural Network

Yafei Song, Jia Li, Xiaogang Wang +1

Single image dehazing, which aims to recover the clear image solely from an input hazy or foggy image, is a challenging ill-posed problem. Analysing existing approaches, the common…

cs.CV20196 cited

Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes

Xiaogang Wang, Bin Zhou, Yahao Shi +3

For the task of mobility analysis of 3D shapes, we propose joint analysis for simultaneous motion part segmentation and motion attribute estimation, taking a single 3D model as inp…