116 citations · 139 across the 15 of their papers we have counts for
6 papers · 1 filter
RLSEP: Learning Label Ranks for Multi-label Classification
Emine Dari, V. Bugra Yesilkaynak, Alican Mertan +1
Multi-label ranking maps instances to a ranked set of predicted labels from multiple possible classes. The ranking approach for multi-label learning problems received attention for…
Symmetry and Variance: Generative Parametric Modelling of Historical Brick Wall Patterns
Sevgi Altun, Mustafa Cem Gunes, Yusuf H. Sahin +3
This study integrates artificial intelligence and computational design tools to extract information from architectural heritage. Photogrammetry-based point cloud models of brick wa…
Single Image Depth Estimation: An Overview
Alican Mertan, Damien Jade Duff, Gozde Unal
We review solutions to the problem of depth estimation, arguably the most important subtask in scene understanding. We focus on the single image depth estimation problem. Due to it…
ODFNet: Using orientation distribution functions to characterize 3D point clouds
Yusuf H. Sahin, Alican Mertan, Gozde Unal
Learning new representations of 3D point clouds is an active research area in 3D vision, as the order-invariant point cloud structure still presents challenges to the design of neu…
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation
Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff +1
We propose a new approach for the problem of relative depth estimation from a single image. Instead of directly regressing over depth scores, we formulate the problem as estimation…
Relative Depth Estimation as a Ranking Problem
Alican Mertan, Damien Jade Duff, Gozde Unal
We present a formulation of the relative depth estimation from a single image problem, as a ranking problem. By reformulating the problem this way, we were able to utilize literatu…