146 citations · 263 across the 7 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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…
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…