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20182023
most citedReal-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC

16 citations · 26 across the 5 of their papers we have counts for

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Showing 2019Show all

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cs.CV2019★ 16 cited

Real-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC

Oscar Rahnama, Tommaso Cavallari, Stuart Golodetz +5

Obtaining highly accurate depth from stereo images in real time has many applications across computer vision and robotics, but in some contexts, upper bounds on power consumption c…

cs.CV2019

Learning to Adapt for Stereo

Alessio Tonioni, Oscar Rahnama, Thomas Joy +3

Real world applications of stereo depth estimation require models that are robust to dynamic variations in the environment. Even though deep learning based stereo methods are succe…