no code implementations • 23 Nov 2023 • Sikta Das Adhikari, Jiaxin Yang, Jianrong Wang, Yuehua Cui
With the emergence of advanced spatial transcriptomic technologies, there has been a surge in research papers dedicated to analyzing spatial transcriptomics data, resulting in significant contributions to our understanding of biology.
no code implementations • 6 Jun 2023 • Jianrong Wang, Yaxin Zhao, Li Liu, Tianyi Xu, Qi Li, Sen Li
Given an audio clip and a reference face image, the goal of the talking head generation is to generate a high-fidelity talking head video.
1 code implementation • 4 Jun 2023 • Jianrong Wang, Yuchen Huo, Li Liu, Tianyi Xu, Qi Li, Sen Li
Audio-visual speech recognition (AVSR) gains increasing attention from researchers as an important part of human-computer interaction.
no code implementations • 2 Apr 2022 • Jianrong Wang, Jinyu Liu, Longxuan Zhao, Shanyu Wang, Ruiguo Yu, Li Liu
Acoustic-to-articulatory inversion (AAI) is to obtain the movement of articulators from speech signals.
no code implementations • 1 Apr 2022 • Jianrong Wang, Zixuan Wang, Xiaosheng Hu, XueWei Li, Qiang Fang, Li Liu
Experimental results show that the speech synthesized by our model is comparable to the personalized speech synthesized by training a large amount of audio data in previous works.
1 code implementation • 13 Oct 2020 • Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, Li Liu
To this end, in this work, we present a novel end-to-end 3D lip motion Network (3LMNet) by utilizing the sentence-level 3D lip motion (S3DLM) to recognize speakers in both the text-independent and text-dependent contexts.
no code implementations • 9 Jul 2020 • Jianrong Wang, Xiaosheng Hu, Li Liu, Wei Liu, Mei Yu, Tianyi Xu
Given a speaker's speech, it is interesting to see if it is possible to generate this speaker's face.
no code implementations • 17 Jun 2020 • Jianrong Wang, Ge Zhang, Zhen-Yu Wu, XueWei Li, Li Liu
Compared with static views, abundant dynamic properties between video frames are beneficial to refined depth estimation, especially for dynamic objects.
no code implementations • 16 Jul 2018 • Ruiguo Yu, Zhi-Qiang Liu, Xuewei Li, Wenhuan Lu, Mei Yu, Jianrong Wang, Bin Li
There have been a lot of researches based on the time series of the wind power or speed, but In fact, these time series cannot express the temporal and spatial changes of wind, which fundamentally hinders the advance of wind power prediction.