2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 2 cited
Learning Hierarchical Graph Neural Networks for Image Clustering
Yifan Xing, Tong He, Tianjun Xiao +6
We propose a hierarchical graph neural network (GNN) model that learns how to cluster a set of images into an unknown number of identities using a training set of images annotated…
cs.CV2020★ 1 cited
3D-Aided Data Augmentation for Robust Face Understanding
Yifan Xing, Yuanjun Xiong, Wei Xia
Data augmentation has been highly effective in narrowing the data gap and reducing the cost for human annotation, especially for tasks where ground truth labels are difficult and e…
cs.CV2018
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction
Yifan Xing, Rahul Tewari, Paulo R. S. Mendonca
State-of-the-art methods for 3D reconstruction of faces from a single image require 2D-3D pairs of ground-truth data for supervision. Such data is costly to acquire, and most datas…