BodyFormer: Semantics-guided 3D Body Gesture Synthesis with Transformer

no code implementations • 7 Sep 2023 • Kunkun Pang, Dafei Qin, Yingruo Fan, Julian Habekost, Takaaki Shiratori, Junichi Yamagishi, Taku Komura

Learning the mapping between speech and 3D full-body gestures is difficult due to the stochastic nature of the problem and the lack of a rich cross-modal dataset that is needed for training.

Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning

no code implementations • ICLR 2018 • Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy Hospedales

In contrast to this body of research, we propose to treat active learning algorithm design as a meta-learning problem and learn the best criterion from data.

Active Learning Meta-Learning +2