108 citations · 142 across the 6 of their papers we have counts for
16 papers
Capturing Omni-Range Context for Omnidirectional Segmentation
Kailun Yang, Jiaming Zhang, Simon Reiß +2
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…
Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired
Yingzhi Zhang, Haoye Chen, Kailun Yang +2
As the scene information, including objectness and scene type, are important for people with visual impairment, in this work we present a multi-task efficient perception system for…
Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired
Wei Mao, Jiaming Zhang, Kailun Yang +1
Classic computer vision algorithms, instance segmentation, and semantic segmentation can not provide a holistic understanding of the surroundings for the visually impaired. In this…
Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
Kaite Xiang, Kailun Yang, Kaiwei Wang
Semantic Segmentation (SS) is promising for outdoor scene perception in safety-critical applications like autonomous vehicles, assisted navigation and so on. However, traditional S…
Can we cover navigational perception needs of the visually impaired by panoptic segmentation?
Wei Mao, Jiaming Zhang, Kailun Yang +1
Navigational perception for visually impaired people has been substantially promoted by both classic and deep learning based segmentation methods. In classic visual recognition met…
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images
Lei Sun, Kailun Yang, Xinxin Hu +2
Semantic segmentation has made striking progress due to the success of deep convolutional neural networks. Considering the demands of autonomous driving, real-time semantic segment…