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

7 citations · 12 across the 4 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.CV20202 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.LG20203 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.CV20197 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…