4 citations · 5 across the 4 of their papers we have counts for
4 papers
LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
Xingyu Chen, Peixi Wu, Ge Li +1
As a crucial infrastructure of intelligent mobile robots, LiDAR-Inertial odometry (LIO) provides the basic capability of state estimation by tracking LiDAR scans. The high-accuracy…
Frequency-Aware Self-Supervised Monocular Depth Estimation
Xingyu Chen, Thomas H. Li, Ruonan Zhang +1
We present two versatile methods to generally enhance self-supervised monocular depth estimation (MDE) models. The high generalizability of our methods is achieved by solving the f…
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
Xingyu Chen, Ruonan Zhang, Ji Jiang +3
Self-supervised monocular depth estimation (MDE) models universally suffer from the notorious edge-fattening issue. Triplet loss, as a widespread metric learning strategy, has larg…
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis
Yurui Ren, Xiaoqing Fan, Ge Li +2
We deal with the controllable person image synthesis task which aims to re-render a human from a reference image with explicit control over body pose and appearance. Observing that…