1.9k citations · 2k across the 4 of their papers we have counts for
4 papers
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching
Yan Shi, Jun-Xiong Cai, Yoli Shavit +3
Graph Neural Networks (GNNs) with attention have been successfully applied for learning visual feature matching. However, current methods learn with complete graphs, resulting in a…
Subdivision-Based Mesh Convolution Networks
Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo +4
Convolutional neural networks (CNNs) have made great breakthroughs in 2D computer vision. However, their irregular structure makes it hard to harness the potential of CNNs directly…
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu +3
The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Tra…
Temporally Coherent Video Harmonization Using Adversarial Networks
Haozhi Huang, Senzhe Xu, Junxiong Cai +2
Compositing is one of the most important editing operations for images and videos. The process of improving the realism of composite results is often called harmonization. Previous…