146 citations · 207 across the 4 of their papers we have counts for
5 papers
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…
Complementary Segmentation of Primary Video Objects with Reversible Flows
Jia Li, Junjie Wu, Anlin Zheng +3
Segmenting primary objects in a video is an important yet challenging problem in computer vision, as it exhibits various levels of foreground/background ambiguities. To reduce such…
Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance
Liang Lin, Yongyi Lu, Yan Pan +1
In order to track the moving objects in long range against occlusion, interruption, and background clutter, this paper proposes a unified approach for global trajectory analysis. I…