716 citations · 972 across the 6 of their papers we have counts for
4 papers · 1 filter
LocalBins: Improving Depth Estimation by Learning Local Distributions
Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka
We propose a novel architecture for depth estimation from a single image. The architecture itself is based on the popular encoder-decoder architecture that is frequently used as a…
Self-Supervised Learning of Domain Invariant Features for Depth Estimation
Hiroyasu Akada, Shariq Farooq Bhat, Ibraheem Alhashim +1
We tackle the problem of unsupervised synthetic-to-real domain adaptation for single image depth estimation. An essential building block of single image depth estimation is an enco…
AdaBins: Depth Estimation using Adaptive Bins
Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka
We address the problem of estimating a high quality dense depth map from a single RGB input image. We start out with a baseline encoder-decoder convolutional neural network archite…
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim, Peter Wonka
Accurate depth estimation from images is a fundamental task in many applications including scene understanding and reconstruction. Existing solutions for depth estimation often pro…