4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CV2022★ 4 cited
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving
Xiaoming Zeng, Zhendong Wang, Yang Hu
Autonomous driving demands accurate perception and safe decision-making. To achieve this, automated vehicles are now equipped with multiple sensors (e.g., camera, Lidar, etc.), ena…
cs.CV2019
A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs
Ling Jiang, Yang Hu, Xilin Xia +2
The shortage of high-resolution urban digital elevation model (DEM) datasets has been a challenge for modelling urban flood and managing its risk. A solution is to develop effectiv…
cs.CV2018
A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation
Yang Hu, Andrea Soltoggio, Russell Lock +1
In this paper, we propose a novel fully convolutional two-stream fusion network (FCTSFN) for interactive image segmentation. The proposed network includes two sub-networks: a two-s…