Xinxin Hu — accepted AI-conference papers

2021

Capturing Omni-Range Context for Omnidirectional Segmentation

Kailun Yang, Jiaming Zhang, Simon Reiss, Xinxin Hu, Rainer Stiefelhagen

CVPR 2021poster

Convolutional Networks (ConvNets) excel at semantic segmentation and have become a vital component for perception in autonomous driving. Enabling an all-encompassing view of street-scenes, omnidirectional cameras present themselves as a perfect fit in such systems. Most segmentation models for parsi…

Cited by 91 PDF ↗code ↗Scholar ↗

2020

Real-Time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-Driving Images

Lei Sun, Kailun Yang, Xinxin Hu, Weijian Hu, Kaiwei Wang

RA-L 2020

Semantic segmentation has made striking progress due to the success of deep convolutional neural networks. Considering the demands of autonomous driving, real-time semantic segmentation has become a research hotspot these years. However, few real-time RGB-D fusion semantic segmentation studies are c

Cited by 161 Source ↗code ↗Scholar ↗