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20182026
most citedEvent-Based Fusion for Motion Deblurring with Cross-modal Attention

178 citations · 569 across the 193 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.CV2019

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset

Yuanyou Xu, Kaiwei Wang, Kailun Yang +2

Panoramic images have advantages in information capacity and scene stability due to their large field of view (FoV). In this paper, we propose a method to synthesize a new dataset…

cs.CV2019★ 8 cited

DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing

Kailun Yang, Xinxin Hu, Hao Chen +3

Semantically interpreting the traffic scene is crucial for autonomous transportation and robotics systems. However, state-of-the-art semantic segmentation pipelines are dominantly…

cs.CV2019★ 3 cited

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion

Lei Sun, Kaiwei Wang, Kailun Yang +1

Currently, semantic segmentation shows remarkable efficiency and reliability in standard scenarios such as daytime scenes with favorable illumination conditions. However, in face o…

eess.IV2019★ 3 cited

A Multimodal Vision Sensor for Autonomous Driving

Dongming Sun, Xiao Huang, Kailun Yang

This paper describes a multimodal vision sensor that integrates three types of cameras, including a stereo camera, a polarization camera and a panoramic camera. Each sensor provide…

cs.CV2019★ 2 cited

Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems

Kaite Xiang, Kaiwei Wang, Kailun Yang

Semantic Segmentation (SS) is a task to assign semantic label to each pixel of the images, which is of immense significance for autonomous vehicles, robotics and assisted navigatio…

cs.CV2019

A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network

Kaite Xiang, Kaiwei Wang, Kailun Yang

Semantic Segmentation (SS) is the task to assign a semantic label to each pixel of the observed images, which is of crucial significance for autonomous vehicles, navigation assista…