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20172022
most citedSNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection

185 citations · 309 across the 27 of their papers we have counts for

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19 papers · 1 filter

cs.CV2021

Self-supervision of Feature Transformation for Further Improving Supervised Learning

Zilin Ding, Yuhang Yang, Xuan Cheng +2

Self-supervised learning, which benefits from automatically constructing labels through pre-designed pretext task, has recently been applied for strengthen supervised learning. Sin…

cs.CV20211 cited

Comparing Representations in Tracking for Event Camera-based SLAM

Jianhao Jiao, Huaiyang Huang, Liang Li +3

This paper investigates two typical image-type representations for event camera-based tracking: time surface (TS) and event map (EM). Based on the original TS-based tracker, we mak…

cs.CV2021

Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation

Hengli Wang, Peide Cai, Yuxiang Sun +2

Recently, deep-learning based approaches have achieved impressive performance for autonomous driving. However, end-to-end vision-based methods typically have limited interpretabili…

cs.CV2021

3D Surfel Map-Aided Visual Relocalization with Learned Descriptors

Haoyang Ye, Huaiyang Huang, Marco Hutter +2

In this paper, we introduce a method for visual relocalization using the geometric information from a 3D surfel map. A visual database is first built by global indices from the 3D…

cs.CV20216 cited

YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

Yuxuan Liu, Lujia Wang, Ming Liu

Object detection in 3D with stereo cameras is an important problem in computer vision, and is particularly crucial in low-cost autonomous mobile robots without LiDARs. Nowadays, mo…

cs.CV2021

Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving

Zhenhua Xu, Yuxiang Sun, Ming Liu

Road-boundary detection is important for autonomous driving. It can be used to constrain autonomous vehicles running on road areas to ensure driving safety. Compared with online ro…