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20192021
most citedDeeperGCN: All You Need to Train Deeper GCNs

260 citations · 629 across the 9 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 1 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★ 8 cited

Video Self-Stitching Graph Network for Temporal Action Localization

Chen Zhao, Ali Thabet, Bernard Ghanem

Temporal action localization (TAL) in videos is a challenging task, especially due to the large variation in action temporal scales. Short actions usually occupy a major proportion…

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.LG2020★ 260 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…