activity
20182020
most citedPixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20201 cited

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…

cs.CV2019

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-…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018

Deep Ordinal Regression Network for Monocular Depth Estimation

Huan Fu, Mingming Gong, Chaohui Wang +2

Monocular depth estimation, which plays a crucial role in understanding 3D scene geometry, is an ill-posed problem. Recent methods have gained significant improvement by exploring…