Search Results for author: Hao-Min Liu

Found 6 papers, 5 papers with code

Automatic Melody Harmonization with Triad Chords: A Comparative Study

no code implementations8 Jan 2020 Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama, Tetsuro Kitahara, Benjamin Genchel, Hao-Min Liu, Hao-Wen Dong, Yi-An Chen, Terence Leong, Yi-Hsuan Yang

Several prior works have proposed various methods for the task of automatic melody harmonization, in which a model aims to generate a sequence of chords to serve as the harmonic accompaniment of a given multiple-bar melody sequence.

Template Matching

A Minimal Template for Interactive Web-based Demonstrations of Musical Machine Learning

1 code implementation11 Feb 2019 Vibert Thio, Hao-Min Liu, Yin-Cheng Yeh, Yi-Hsuan Yang

New machine learning algorithms are being developed to solve problems in different areas, including music.

Human-Computer Interaction D.2.2; H.5.2; H.5.5

Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network

2 code implementations30 Jul 2018 Hao-Min Liu, Yi-Hsuan Yang

A new recurrent convolutional generative model for the task is proposed, along with three new symbolic-domain harmonic features to facilitate learning from unpaired lead sheets and MIDIs.

Music Generation

ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM

1 code implementation CVPR 2018 Hao-Min Liu, Mingyu Chen, Guofeng Zhang, Hujun Bao, Yingze Bao

However, jointly using visual and inertial measurements to optimize SLAM objective functions is a problem of high computational complexity.

Pose Estimation

Robust Keyframe-based Dense SLAM with an RGB-D Camera

8 code implementations14 Nov 2017 Hao-Min Liu, Chen Li, Guojun Chen, Guofeng Zhang, Michael Kaess, Hujun Bao

In this paper, we present RKD-SLAM, a robust keyframe-based dense SLAM approach for an RGB-D camera that can robustly handle fast motion and dense loop closure, and run without time limitation in a moderate size scene.

ENFT: Efficient Non-Consecutive Feature Tracking for Robust Structure-from-Motion

3 code implementations27 Oct 2015 Guofeng Zhang, Hao-Min Liu, Zilong Dong, Jiaya Jia, Tien-Tsin Wong, Hujun Bao

Our framework consists of steps of solving the feature `dropout' problem when indistinctive structures, noise or large image distortion exists, and of rapidly recognizing and joining common features located in different subsequences.

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