2 citations · 2 across the 5 of their papers we have counts for
7 papers
Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
Cho-Ying Wu, Chin-Cheng Hsu, Ulrich Neumann
This work digs into a root question in human perception: can face geometry be gleaned from one's voices? Previous works that study this question only adopt developments in image sy…
Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices
Cho-Ying Wu, Ke Xu, Chin-Cheng Hsu +1
This work focuses on the analysis that whether 3D face models can be learned from only the speech inputs of speakers. Previous works for cross-modal face synthesis study image gene…
Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network
Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann
This work focuses on complete 3D facial geometry prediction, including 3D facial alignment via 3D face modeling and face orientation estimation using the proposed multi-task, multi…
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu, Xudong Sun, Cho-Ying Wu +2
Due to the sparsity and irregularity of the point cloud data, methods that directly consume points have become popular. Among all point-based models, graph convolutional networks (…
Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing
Cho-Ying Wu, Ulrich Neumann
In this paper, our goal is salient building outline enhancement and extraction from images taken from consumer cameras using L0 smoothing. We address weak outlines and over-smoothi…
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
Yiqi Zhong, Cho-Ying Wu, Suya You +1
In this paper, we propose our Correlation For Completion Network (CFCNet), an end-to-end deep learning model that uses the correlation between two data sources to perform sparse de…