1.5k citations · 6.9k across the 19 of their papers we have counts for
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cs.NE2016★ 1.5k cited
Temporal Ensembling for Semi-Supervised Learning
Samuli Laine, Timo Aila
In this paper, we present a simple and efficient method for training deep neural networks in a semi-supervised setting where only a small portion of training data is labeled. We in…
cs.CV2016★ 3 cited
Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks
Samuli Laine, Tero Karras, Timo Aila +5
We present a real-time deep learning framework for video-based facial performance capture -- the dense 3D tracking of an actor's face given a monocular video. Our pipeline begins w…