682 citations · 2.5k across the 94 of their papers we have counts for
6 papers · 2 filters
Photorealistic Facial Texture Inference Using Deep Neural Networks
Shunsuke Saito, Lingyu Wei, Liwen Hu +2
We present a data-driven inference method that can synthesize a photorealistic texture map of a complete 3D face model given a partial 2D view of a person in the wild. After an ini…
Deep CTR Prediction in Display Advertising
Junxuan Chen, Baigui Sun, Hao Li +2
Click through rate (CTR) prediction of image ads is the core task of online display advertising systems, and logistic regression (LR) has been frequently applied as the prediction…
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…
Pruning Filters for Efficient ConvNets
Hao Li, Asim Kadav, Igor Durdanovic +2
The success of CNNs in various applications is accompanied by a significant increase in the computation and parameter storage costs. Recent efforts toward reducing these overheads…
Capturing Dynamic Textured Surfaces of Moving Targets
Ruizhe Wang, Lingyu Wei, Etienne Vouga +4
We present an end-to-end system for reconstructing complete watertight and textured models of moving subjects such as clothed humans and animals, using only three or four handheld…
Real-Time Facial Segmentation and Performance Capture from RGB Input
Shunsuke Saito, Tianye Li, Hao Li
We introduce the concept of unconstrained real-time 3D facial performance capture through explicit semantic segmentation in the RGB input. To ensure robustness, cutting edge superv…