49 citations · 122 across the 5 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.CV2017★ 32 cited
Challenges in Disentangling Independent Factors of Variation
Attila Szabó, Qiyang Hu, Tiziano Portenier +2
We study the problem of building models that disentangle independent factors of variation. Such models could be used to encode features that can efficiently be used for classificat…
cs.CV2017★ 12 cited
Disentangling Factors of Variation by Mixing Them
Qiyang Hu, Attila Szabó, Tiziano Portenier +2
We propose an approach to learn image representations that consist of disentangled factors of variation without exploiting any manual labeling or data domain knowledge. A factor of…