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Found 5 papers, 1 papers with code
Graph Guided Question Answer Generation for Procedural Question-Answering
The key technological enabler is a novel mechanism for automatic question-answer generation from procedural text which can ingest large amounts of textual instructions and produce exhaustive in-domain QA training data.
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval
Despite the abundance of multi-modal data, such as image-text pairs, there has been little effort in understanding the individual entities and their different roles in the construction of these data instances.
Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network
This paper presents Generative Adversarial Talking Head (GATH), a novel deep generative neural network that enables fully automatic facial expression synthesis of an arbitrary portrait with continuous action unit (AU) coefficients.
End-to-end Learning for 3D Facial Animation from Raw Waveforms of Speech
We present a deep learning framework for real-time speech-driven 3D facial animation from just raw waveforms.
Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes
We introduce a novel robust hybrid 3D face tracking framework from RGBD video streams, which is capable of tracking head pose and facial actions without pre-calibration or intervention from a user.
