29 citations · 181 across the 51 of their papers we have counts for
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cs.CV2018
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach
Behnam Gholami, Pritish Sahu, Ognjen Rudovic +2
Unsupervised domain adaptation (uDA) models focus on pairwise adaptation settings where there is a single, labeled, source and a single target domain. However, in many real-world s…
cs.CV2018★ 29 cited
Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network
Hai X. Pham, Yuting Wang, Vladimir Pavlovic
This paper presents Generative Adversarial Talking Head (GATH), a novel deep generative neural network that enables fully automatic facial expression synthesis of an arbitrary port…