56 citations · 80 across the 9 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CV2020★ 1 cited
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations
Sungheon Park, Minsik Lee, Nojun Kwak
We propose a novel framework for training neural networks which is capable of learning 3D information of non-rigid objects when only 2D annotations are available as ground truths.…
cs.LG2020★ 2 cited
Differentiable Forward and Backward Fixed-Point Iteration Layers
Younghan Jeon, Minsik Lee, Jin Young Choi
Recently, several studies proposed methods to utilize some classes of optimization problems in designing deep neural networks to encode constraints that conventional layers cannot…