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Thomas Joy

7 papers hereh-index 7303 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
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

collaborators
Showing 2019 · cs.CVShow all

2 papers · 2 filters

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…

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