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Found 4 papers, 2 papers with code
Document-Grounded Goal-Oriented Dialogue Systems on Pre-Trained Language Model with Diverse Input Representation
In this paper, we propose two models (i. e., a knowledge span prediction model and a response generation model) for the subtask1 and the subtask2.
MoST: Motion Style Transformer between Diverse Action Contents
While existing motion style transfer methods are effective between two motions with identical content, their performance significantly diminishes when transferring style between motions with different contents.
Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning
To tackle the learning of whole-body motion, long-range temporal dynamics, and person-to-person interactions, we design a global and local attention mechanism, where, global body motions and local joint motions pay attention to each other.
Distinctive-attribute Extraction for Image Captioning
Image captioning, an open research issue, has been evolved with the progress of deep neural networks.
