activity
20182022
most citedRGCNN: Regularized Graph CNN for Point Cloud Segmentation

88 citations · 127 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Neural Capture of Animatable 3D Human from Monocular Video

Gusi Te, Xiu Li, Xiao Li +3

We present a novel paradigm of building an animatable 3D human representation from a monocular video input, such that it can be rendered in any unseen poses and views. Our method i…

cs.CV2021★ 31 cited

AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing

Gusi Te, Wei Hu, Yinglu Liu +2

Face parsing infers a pixel-wise label to each facial component, which has drawn much attention recently. Previous methods have shown their success in face parsing, which however o…

cs.CV2020★ 4 cited

Edge-aware Graph Representation Learning and Reasoning for Face Parsing

Gusi Te, Yinglu Liu, Wei Hu +2

Face parsing infers a pixel-wise label to each facial component, which has drawn much attention recently. Previous methods have shown their efficiency in face parsing, which howeve…

cs.CV2018★ 4 cited

Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks

Wei Hu, Gusi Te, Ju He +2

Face anti-spoofing plays a crucial role in protecting face recognition systems from various attacks. Previous model-based and deep learning approaches achieve satisfactory performa…

cs.CV2018★ 88 cited

RGCNN: Regularized Graph CNN for Point Cloud Segmentation

Gusi Te, Wei Hu, Zongming Guo +1

Point cloud, an efficient 3D object representation, has become popular with the development of depth sensing and 3D laser scanning techniques. It has attracted attention in various…