14 citations · 31 across the 12 of their papers we have counts for
18 papers · 1 filter
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light System
Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha
We introduced Temporally Incremental Disparity Estimation Network (TIDE-Net), a learning-based technique for disparity computation in mono-camera structured light systems. In our h…
Active Neural Mapping
Zike Yan, Haoxiang Yang, Hongbin Zha
We address the problem of active mapping with a continually-learned neural scene representation, namely Active Neural Mapping. The key lies in actively finding the target space to…
ECT: Fine-grained Edge Detection with Learned Cause Tokens
Shaocong Xu, Xiaoxue Chen, Yuhang Zheng +4
In this study, we tackle the challenging fine-grained edge detection task, which refers to predicting specific edges caused by reflectance, illumination, normal, and depth changes,…
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds
Huan-ang Gao, Beiwen Tian, Pengfei Li +5
Room layout estimation is a long-existing robotic vision task that benefits both environment sensing and motion planning. However, layout estimation using point clouds (PCs) still…
SC-wLS: Towards Interpretable Feed-forward Camera Re-localization
Xin Wu, Hao Zhao, Shunkai Li +2
Visual re-localization aims to recover camera poses in a known environment, which is vital for applications like robotics or augmented reality. Feed-forward absolute camera pose re…
Transferable End-to-end Room Layout Estimation via Implicit Encoding
Hao Zhao, Rene Ranftl, Yurong Chen +1
We study the problem of estimating room layouts from a single panorama image. Most former works have two stages: feature extraction and parametric model fitting. Here we propose an…