activity
20192021
most citedDeeperGCN: All You Need to Train Deeper GCNs

260 citations · 280 across the 3 of their papers we have counts for

collaborators

10 papers

cs.CV2021

MAAS: Multi-modal Assignation for Active Speaker Detection

Juan León-Alcázar, Fabian Caba Heilbron, Ali Thabet +1

Active speaker detection requires a solid integration of multi-modal cues. While individual modalities can approximate a solution, accurate predictions can only be achieved by expl…

cs.CV20201 cited

SALA: Soft Assignment Local Aggregation for Parameter Efficient 3D Semantic Segmentation

Hani Itani, Silvio Giancola, Ali Thabet +1

In this work, we focus on designing a point local aggregation function that yields parameter efficient networks for 3D point cloud semantic segmentation. We explore the idea of usi…

cs.CV2020

MVTN: Multi-View Transformation Network for 3D Shape Recognition

Abdullah Hamdi, Silvio Giancola, Bernard Ghanem

Multi-view projection methods have demonstrated their ability to reach state-of-the-art performance on 3D shape recognition. Those methods learn different ways to aggregate informa…

cs.CV2020

LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks

Guohao Li, Mengmeng Xu, Silvio Giancola +2

Point cloud architecture design has become a crucial problem for 3D deep learning. Several efforts exist to manually design architectures with high accuracy in point cloud tasks su…

cs.LG2020260 cited

DeeperGCN: All You Need to Train Deeper GCNs

Guohao Li, Chenxin Xiong, Ali Thabet +1

Graph Convolutional Networks (GCNs) have been drawing significant attention with the power of representation learning on graphs. Unlike Convolutional Neural Networks (CNNs), which…

cs.CV2019

Gabor Layers Enhance Network Robustness

Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret +4

We revisit the benefits of merging classical vision concepts with deep learning models. In particular, we explore the effect on robustness against adversarial attacks of replacing…