Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Fast segmentation of 3D point clouds: A paradigm on LiDAR data for autonomous vehicle applications
Selfsupervised monocular road detection in desert terrain
Fast segmentation of 3D point clouds for ground vehicles
SEGCloud: Semantic Segmentation of 3D Point Clouds
Three-Skips CNN for road scene semantic segmentation
Point Clouds: Lidar versus 3D Vision
Point Cloud Segmentation and 3 D Path Planning for Tracked Vehicles in Cluttered and Dynamic Environments
Unsupervised Domain Adaptation for Semantic Segmentation with GANs
Importance-Aware Semantic Segmentation for Autonomous Driving System
An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery
Individual Tree Segmentation from LiDAR Point Clouds for Urban Forest Inventory
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Robust normal estimation and region growing segmentation of infrastructure 3D point cloud models
Extraction and Classification of Road Markings Using Mobile Laser Scanning Point Clouds
Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation
Bilateral Filtering of 3D Point Clouds for Refined 3D Roadside Reconstructions
Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs
Robust Road Detection and Tracking in Challenging Scenarios Based on Markov Random Fields With Unsupervised Learning
Automatic Extraction of Moving Objects from Image and LIDAR Sequences
Point cloud segmentation towards urban ground modeling
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning
Learning Coupled Feature Spaces for Cross-Modal Matching
Discrete Exterior Calculus
Supervised machine learning for grouping sketch diagram strokes
Automatically Identifying the Source Words of Lexical Blends in English