no code implementations • 8 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.
1 code implementation • 11 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
2 code implementations • 30 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.
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.
8 code implementations • 14 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.
3 code implementations • 27 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.