Fu'ze Cong — accepted AI-conference papers

2021

A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode Echocardiography

Yinbing Tian, Shibiao Xu, Li Guo, Fu'ze Cong

ICASSP 2021accepted

Anatomical landmark localization has been a key challenge for medical image analysis. Existing researches mostly adopt CNN as the main architecture for landmark localization while they are not applicable to process image modalities with periodic structure. In this paper, we propose a novel two-stage…

Cited by 0 Source ↗Scholar ↗

2018

A Parallel Fusion Approach to Piano Music Transcription Based on Convolutional Neural Network

Fu'ze Cong, Shu-Chang Liu, Li Guo, Geraint A. Wiggins

ICASSP 2018accepted

In this paper, a supervised approach based on Convolutional Neural Networks (CNN) for polyphonic piano transcription is presented. The system consists of pitch detection model, onset/offset detection model, and note search model. The pitch detection model is a single-channel CNN predicting the proba…

Cited by 0 Source ↗Scholar ↗