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20172022
most citedWeakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data

107 citations · 260 across the 10 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cs.RO2018★ 2 cited

Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data

Li Sun, Zhi Yan, Anestis Zaganidis +2

This paper presents a novel semantic mapping approach, Recurrent-OctoMap, learned from long-term 3D Lidar data. Most existing semantic mapping approaches focus on improving semanti…

cs.RO2018★ 8 cited

Learning monocular visual odometry with dense 3D mapping from dense 3D flow

Cheng Zhao, Li Sun, Pulak Purkait +2

This paper introduces a fully deep learning approach to monocular SLAM, which can perform simultaneous localization using a neural network for learning visual odometry (L-VO) and d…