396 citations · 597 across the 8 of their papers we have counts for
9 papers
Occlusion Boundary and Depth: Mutual Enhancement via Multi-Task Learning
Lintao Xu, Yinghao Wang, Chaohui Wang
Occlusion Boundary Estimation (OBE) identifies boundaries arising from both inter-object occlusions and self-occlusion within individual objects. This task is closely related to Mo…
Interactive Occlusion Boundary Estimation through Exploitation of Synthetic Data
Lintao Xu, Chaohui Wang
Occlusion boundaries (OBs) geometrically localize occlusion events in 2D images and provide critical cues for scene understanding. In this paper, we present the first systematic st…
Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application
Xuchong Qiu, Yang Xiao, Chaohui Wang +1
We formalize concepts around geometric occlusion in 2D images (i.e., ignoring semantics), and propose a novel unified formulation of both occlusion boundaries and occlusion orienta…
Robust Angular Local Descriptor Learning
Yanwu Xu, Mingming Gong, Tongliang Liu +2
In recent years, the learned local descriptors have outperformed handcrafted ones by a large margin, due to the powerful deep convolutional neural network architectures such as L2-…
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping
Huan Fu, Mingming Gong, Chaohui Wang +3
Unsupervised domain mapping aims to learn a function to translate domain X to Y by a function GXY in the absence of paired examples. Finding the optimal GXY without paired data is…
MoE-SPNet: A Mixture-of-Experts Scene Parsing Network
Huan Fu, Mingming Gong, Chaohui Wang +1
Scene parsing is an indispensable component in understanding the semantics within a scene. Traditional methods rely on handcrafted local features and probabilistic graphical models…