269 citations · 1.5k across the 54 of their papers we have counts for
11 papers · 1 filter
Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization
Kengdong Lu, Jintao Cheng, Yubin Zhou +3
In this paper, we propose a robust edge-direct visual odometry (VO) based on CNN edge detection and Shi-Tomasi corner optimization. Four layers of pyramids were extracted from the…
SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume
Hengli Wang, Rui Fan, Ming Liu
Convolutional neural network (CNN)-based stereo matching approaches generally require a dense cost volume (DCV) for disparity estimation. However, generating such cost volumes is c…
Co-Teaching: An Ark to Unsupervised Stereo Matching
Hengli Wang, Rui Fan, Ming Liu
Stereo matching is a key component of autonomous driving perception. Recent unsupervised stereo matching approaches have received adequate attention due to their advantage of not r…
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection
Hengli Wang, Rui Fan, Peide Cai +1
Freespace detection is a fundamental component of autonomous driving perception. Recently, deep convolutional neural networks (DCNNs) have achieved impressive performance for this…
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving
Hengli Wang, Peide Cai, Rui Fan +2
With the recent advancement of deep learning technology, data-driven approaches for autonomous car prediction and planning have achieved extraordinary performance. Nevertheless, mo…
SAS: A Simple, Accurate and Scalable Node Classification Algorithm
Ziyuan Wang, Feiming Yang, Rui Fan
Graph neural networks have achieved state-of-the-art accuracy for graph node classification. However, GNNs are difficult to scale to large graphs, for example frequently encounteri…
S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs
Hengli Wang, Yuxiang Sun, Rui Fan +1
Path planning is a fundamental capability for autonomous navigation of robotic wheelchairs. With the impressive development of deep-learning technologies, imitation learning-based…
PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching
Hengli Wang, Rui Fan, Peide Cai +1
Supervised learning with deep convolutional neural networks (DCNNs) has seen huge adoption in stereo matching. However, the acquisition of large-scale datasets with well-labeled gr…
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
Hengli Wang, Rui Fan, Yuxiang Sun +1
Joint detection of drivable areas and road anomalies is very important for mobile robots. Recently, many semantic segmentation approaches based on convolutional neural networks (CN…
GPU Optimization for High-Quality Kinetic Fluid Simulation
Yixin Chen, Wei Li, Rui Fan +1
Fluid simulations are often performed using the incompressible Navier-Stokes equations (INSE), leading to sparse linear systems which are difficult to solve efficiently in parallel…
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach
Rui Fan, Ji Hyung Lee, Youngki Shin
In this paper we propose the adaptive lasso for predictive quantile regression (ALQR). Reflecting empirical findings, we allow predictors to have various degrees of persistence and…