21 citations · 41 across the 11 of their papers we have counts for
11 papers
Affective Behaviour Analysis via Integrating Multi-Modal Knowledge
Wei Zhang, Feng Qiu, Chen Liu +4
Affective Behavior Analysis aims to facilitate technology emotionally smart, creating a world where devices can understand and react to our emotions as humans do. To comprehensivel…
High-Quality 3D Face Reconstruction with Affine Convolutional Networks
Zhiqian Lin, Jiangke Lin, Lincheng Li +2
Recent works based on convolutional encoder-decoder architecture and 3DMM parameterization have shown great potential for canonical view reconstruction from a single input image. C…
CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields from Imperfect Camera Poses
Hongyu Fu, Xin Yu, Lincheng Li +1
Existing volumetric neural rendering techniques, such as Neural Radiance Fields (NeRF), face limitations in synthesizing high-quality novel views when the camera poses of input ima…
BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge
Chen Liu, Peike Li, Hu Zhang +4
Given an audio-visual pair, audio-visual segmentation (AVS) aims to locate sounding sources by predicting pixel-wise maps. Previous methods assume that each sound component in an a…
Zero-shot Text-driven Physically Interpretable Face Editing
Yapeng Meng, Songru Yang, Xu Hu +4
This paper proposes a novel and physically interpretable method for face editing based on arbitrary text prompts. Different from previous GAN-inversion-based face editing methods t…
Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics
Chen Liu, Peike Li, Xingqun Qi +4
The audio-visual segmentation (AVS) task aims to segment sounding objects from a given video. Existing works mainly focus on fusing audio and visual features of a given video to ac…