activity
20192021
most citedReasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical

29 citations · 41 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV202129 cited

Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical

Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi +2

In this paper, we investigate the problem of facial kinship verification by learning hierarchical reasoning graph networks. Conventional methods usually focus on learning discrimin…

cs.CV2021

Meta-Mining Discriminative Samples for Kinship Verification

Wanhua Li, Shiwei Wang, Jiwen Lu +2

Kinship verification aims to find out whether there is a kin relation for a given pair of facial images. Kinship verification databases are born with unbalanced data. For a databas…

cs.CV2021

Structure-Aware Face Clustering on a Large-Scale Graph with Nodes

Shuai Shen, Wanhua Li, Zheng Zhu +4

Face clustering is a promising method for annotating unlabeled face images. Recent supervised approaches have boosted the face clustering accuracy greatly, however their performanc…

cs.CV20212 cited

Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression

Wanhua Li, Xiaoke Huang, Jiwen Lu +2

Uncertainty is the only certainty there is. Modeling data uncertainty is essential for regression, especially in unconstrained settings. Traditionally the direct regression formula…

cs.CV2020

Graph-Based Social Relation Reasoning

Wanhua Li, Yueqi Duan, Jiwen Lu +2

Human beings are fundamentally sociable -- that we generally organize our social lives in terms of relations with other people. Understanding social relations from an image has gre…

cs.CV20202 cited

Graph-based Kinship Reasoning Network

Wanhua Li, Yingqiang Zhang, Kangchen Lv +3

In this paper, we propose a graph-based kinship reasoning (GKR) network for kinship verification, which aims to effectively perform relational reasoning on the extracted features o…