Publication

Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Publications related to Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets | EPFL Graph Search

Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets

Graph Chatbot

Chat with Graph Search

Robust NAS under adversarial training: benchmark, theory, and beyond

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Text-to-Microstructure Generation Using Generative Deep Learning

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination