2 citations · 3 across the 5 of their papers we have counts for
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cs.CV2018★ 2 cited
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
Yue Meng, Yongxi Lu, Aman Raj +5
Unsupervised learning for geometric perception (depth, optical flow, etc.) is of great interest to autonomous systems. Recent works on unsupervised learning have made considerable…
cs.IT2018
Online Learning for Position-Aided Millimeter Wave Beam Training
Vutha Va, Takayuki Shimizu, Gaurav Bansal +1
Accurate beam alignment is essential for beam-based millimeter wave communications. Conventional beam sweeping solutions often have large overhead, which is unacceptable for mobile…