2 citations · 2 across the 1 of their papers we have counts for
4 papers
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
Sen Deng, Yidan Feng, Mingqiang Wei +5
We present a novel direction-aware feature-level frequency decomposition network for single image deraining. Compared with existing solutions, the proposed network has three compel…
PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds
Jonathan Li, Rongren Wu, Yiping Chen +3
Middle-echo, which covers one or a few corresponding points, is a specific type of 3D point cloud acquired by a multi-echo laser scanner. In this paper, we propose a novel approach…
NeuroTreeNet: A New Method to Explore Horizontal Expansion Network
Shenlong Lou, Yan Luo, Qiancong Fan +4
It is widely recognized that the deeper networks or networks with more feature maps have better performance. Existing studies mainly focus on extending the network depth and increa…
Geometric Multi-Model Fitting by Deep Reinforcement Learning
Zongliang Zhang, Hongbin Zeng, Jonathan Li +3
This paper deals with the geometric multi-model fitting from noisy, unstructured point set data (e.g., laser scanned point clouds). We formulate multi-model fitting problem as a se…