Search Results for author: Francis X. Creighton

Found 5 papers, 3 papers with code

Temporally Consistent Online Depth Estimation in Dynamic Scenes

no code implementations17 Nov 2021 Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath

We present a framework named Consistent Online Dynamic Depth (CODD) to produce temporally consistent depth estimates in dynamic scenes in an online setting.

Stereo Depth Estimation

On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation

no code implementations13 Sep 2021 Zhaoshuo Li, Nathan Drenkow, Hao Ding, Andy S. Ding, Alexander Lu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath

It is based on the idea that observed frames can be synthesized from neighboring frames if accurate depth of the scene is known - or in this case, estimated.

Attribute Depth Estimation +3

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