5 citations · 7 across the 4 of their papers we have counts for
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cs.CV2022
Forecasting of depth and ego-motion with transformers and self-supervision
Houssem Boulahbal, Adrian Voicila, Andrew Comport
This paper addresses the problem of end-to-end self-supervised forecasting of depth and ego motion. Given a sequence of raw images, the aim is to forecast both the geometry and ego…
cs.CV2022★ 5 cited
Instance-aware multi-object self-supervision for monocular depth prediction
Houssem Boulahbal, Adrian Voicila, Andrew Comport
This paper proposes a self-supervised monocular image-to-depth prediction framework that is trained with an end-to-end photometric loss that handles not only 6-DOF camera motion bu…