19 citations · 29 across the 4 of their papers we have counts for
4 papers · 1 filter
Non-learning Stereo-aided Depth Completion under Mis-projection via Selective Stereo Matching
Yasuhiro Yao, Ryoichi Ishikawa, Shingo Ando +4
We propose a non-learning depth completion method for a sparse depth map captured using a light detection and ranging (LiDAR) sensor guided by a pair of stereo images. Generally, c…
Discontinuous and Smooth Depth Completion with Binary Anisotropic Diffusion Tensor
Yasuhiro Yao, Menandro Roxas, Ryoichi Ishikawa +3
We propose an unsupervised real-time dense depth completion from a sparse depth map guided by a single image. Our method generates a smooth depth map while preserving discontinuity…
Concatenated Feature Pyramid Network for Instance Segmentation
Yongqing Sun, Pranav Shenoy K P, Jun Shimamura +1
Low level features like edges and textures play an important role in accurately localizing instances in neural networks. In this paper, we propose an architecture which improves fe…
Weakly Supervised Instance Segmentation Using Hybrid Network
Shisha Liao, Yongqing Sun, Chenqiang Gao +4
Weakly-supervised instance segmentation, which could greatly save labor and time cost of pixel mask annotation, has attracted increasing attention in recent years. The commonly use…