most citedSpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator

7 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation

Mehdi Bahri, Eimear O' Sullivan, Shunwang Gong +4

Standard registration algorithms need to be independently applied to each surface to register, following careful pre-processing and hand-tuning. Recently, learning-based approaches…

cs.CV2020

3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties

Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris +8

Face recognition is a widely accepted biometric verification tool, as the face contains a lot of information about the identity of a person. In this study, a 2-step neural-based pi…

cs.CV2020★ 2 cited

Geometrically Principled Connections in Graph Neural Networks

Shunwang Gong, Mehdi Bahri, Michael M. Bronstein +1

Graph convolution operators bring the advantages of deep learning to a variety of graph and mesh processing tasks previously deemed out of reach. With their continued success comes…

cs.LG2020★ 3 cited

Graph Attentional Autoencoder for Anticancer Hyperfood Prediction

Guadalupe Gonzalez, Shunwang Gong, Ivan Laponogov +2

Recent research efforts have shown the possibility to discover anticancer drug-like molecules in food from their effect on protein-protein interaction networks, opening a potential…

cs.CV2019★ 7 cited

SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator

Shunwang Gong, Lei Chen, Michael Bronstein +1

Intrinsic graph convolution operators with differentiable kernel functions play a crucial role in analyzing 3D shape meshes. In this paper, we present a fast and efficient intrinsi…