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Gaurav Bansal

2 accepted papers

2020

S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data

ECCV 2020poster

Solving depth estimation with monocular cameras enables the possibility of widespread use of cameras as low-cost depth estimation sensors in applications such as autonomous driving and robotics. In order to learn such a scalable depth estimation model, we require a ton of data and labels which are t…

Cited by 32SourcePDFScholar
2019

SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception

CVPR 2019poster

Unsupervised learning for geometric perception (depth, optical flow, etc.) is of great interest to autonomous systems. Recent works on unsupervised learning have made considerable progress on perceiving geometry; however, they usually ignore the coherence of objects and perform poorly under scenario…

Cited by 70PDFcodeScholar