Search Results for author:
Found 4 papers, 2 papers with code
Efficient Harmonic Neural Networks with Compound Discrete Cosine Transform filters and Shared Reconstruction filters
First, the spectrum feature learned by HNN is insufficient and limited because the number of DCT filters is much smaller than that of feature maps.
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation
Specifically, we design a residual dense block with multiple receptive fields as a building block in the encoder which preserves detailed information in each modality and learns hierarchical modality-specific and fused features effectively.
Ranked #23 on
3D Semantic Segmentation
on SemanticKITTI
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
In particular, we technically propose a novel random CNN component that can randomly convolute non-adjacent features to capture their interaction information and learn feature embeddings of key attributes to make the final recommendation.
Heterogeneous-Temporal Graph Convolutional Networks: Make the Community Detection Much Better
Community detection has long been an important yet challenging task to analyze complex networks with a focus on detecting topological structures of graph data.
