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Zhize Zhou

2 accepted papers

2022

Learning to Estimate Object Poses without Real Image Annotations

IJCAI 2022poster

This paper presents a simple yet effective approach for learning 6DoF object poses without real image annotations. Previous methods have attempted to train pose estimators on synthetic data, but they do not generalize well to real images due to the sim-to-real domain gap and produce inaccurate pose…

2022

TalkingFlow: Talking Facial Landmark Generation with Multi-Scale Normalizing Flow Network

ICASSP 2022accepted

Deterministic models dominate the field of talking facial land-mark generation by directly mapping speech signals to a certain lip-sync facial landmark sequence, which often suffer from regression to the mean face. In contrast, probability generative models are more beneficial to handle complex data…

Cited by 0SourceScholar