12 citations · 25 across the 4 of their papers we have counts for
5 papers
HRTF Upsampling Across Varying Measurement Configurations with Geometry-Aware Query-Conditioned Aggregation
Xingyu Chen, Hanwen Bi, Sipei Zhao +3
Personalized head-related transfer functions (HRTFs) are essential for spatial audio rendering, but densely measuring an individual's HRTFs is costly and time-consuming. HRTF upsam…
Exploring Frequency-Domain Feature Modeling for HRTF Magnitude Upsampling
Xingyu Chen, Hanwen Bi, Fei Ma +3
Accurate upsampling of Head-Related Transfer Functions (HRTFs) from sparse measurements is crucial for personalized spatial audio rendering. Traditional interpolation methods, such…
Point Neuron Learning: A New Physics-Informed Neural Network Architecture
Hanwen Bi, Thushara D. Abhayapala
Machine learning and neural networks have advanced numerous research domains, but challenges such as large training data requirements and inconsistent model performance hinder thei…
Monaural speech enhancement on drone via Adapter based transfer learning
Xingyu Chen, Hanwen Bi, Wei-Ting Lai +1
Monaural Speech enhancement on drones is challenging because the ego-noise from the rotating motors and propellers leads to extremely low signal-to-noise ratios at onboard micropho…
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans
Xinzi He, Jia Guo, Xuzhe Zhang +9
Unsupervised learning-based medical image registration approaches have witnessed rapid development in recent years. We propose to revisit a commonly ignored while simple and well-e…