GSP-CV21
* *When Graph Signal Processing Meets Computer Vision
* Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network
* Moving Object Detection for Event-based Vision using Graph Spectral Clustering
* Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks
* Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction
* Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds
* Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs
7 for GSP-CV21