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Yu-An Wang

2 accepted papers

2021

S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation

CVPR 2021poster

Dense depth estimation plays a key role in multiple applications such as robotics, 3D reconstruction, and augmented reality. While sparse signal, e.g., LiDAR and Radar, has been leveraged as guidance for enhancing dense depth estimation, the improvement is limited due to its low density and imbalanc…

Cited by 22PDFScholar
2019

Modeling Melodic Feature Dependency with Modularized Variational Auto-encoder

ICASSP 2019accepted

Automatic melody generation has been a long-time aspiration for both AI researchers and musicians. However, learning to generate euphonious melodies has turned out to be highly challenging. This paper introduces 1) a new variant of variational autoencoder (VAE), where the model structure is designed…

Cited by 0SourceScholar