no code implementations • 8 Apr 2024 • Guokai Zhang, Lanjun Wang, Yuting Su, An-An Liu
We also have validated that our method is generalized to multiple versions of SDs, even without retraining the watermark model.
no code implementations • 13 Sep 2023 • Yuting Su, Yichen Wei, Weizhi Nie, Sicheng Zhao, AnAn Liu
Specifically, we propose a dynamic temporal disentanglement model to infer the propagation of utterances and hidden variables, enabling the accumulation of emotion-related information throughout the conversation.
no code implementations • 7 Sep 2023 • An-An Liu, Guokai Zhang, Yuting Su, Ning Xu, Yongdong Zhang, Lanjun Wang
Furthermore, we strengthen the watermark robustness of our approach by subjecting the compound image to various post-processing attacks, with minimal pixel distortion observed in the revealed watermark.
1 code implementation • 6 Aug 2023 • Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su
Emotion distribution learning has gained increasing attention with the tendency to express emotions through images.
1 code implementation • 9 Dec 2020 • Jing Liu, Jiaxiang Wang, Weikang Wang, Yuting Su
In this paper, we investigate the complimentary roles of spatial and temporal information and propose a novel dynamic spatiotemporal network (DS-Net) for more effective fusion of spatiotemporal information.