14 citations · 23 across the 4 of their papers we have counts for
5 papers
OccuSeg: Occupancy-aware 3D Instance Segmentation
Lei Han, Tian Zheng, Lan Xu +1
3D instance segmentation, with a variety of applications in robotics and augmented reality, is in large demands these days. Unlike 2D images that are projective observations of the…
GFF: Gated Fully Fusion for Semantic Segmentation
Xiangtai Li, Houlong Zhao, Lei Han +2
Semantic segmentation generates comprehensive understanding of scenes through densely predicting the category for each pixel. High-level features from Deep Convolutional Neural Net…
RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration
Lei Han, Mengqi Ji, Lu Fang +1
Direct image-to-image alignment that relies on the optimization of photometric error metrics suffers from limited convergence range and sensitivity to lighting conditions. Deep lea…
Beyond SIFT using Binary features for Loop Closure Detection
Lei Han, Guyue Zhou, Lan Xu +1
In this paper a binary feature based Loop Closure Detection (LCD) method is proposed, which for the first time achieves higher precision-recall (PR) performance compared with state…
MILD: Multi-Index hashing for Loop closure Detection
Lei Han, Lu Fang
Loop Closure Detection (LCD) has been proved to be extremely useful in global consistent visual Simultaneously Localization and Mapping (SLAM) and appearance-based robot relocaliza…