Qiong Chang

Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution

M. Matsuoka, T. Shinohara, Kyoung-Sook Kim, 2022, ArXiv.

An incremental SAT-based approach for solving the real-time taxi-sharing service problem

I. Noda, Qiong Chang, Aolong Zha, 2022, Discrete Applied Mathematics.

Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation

M. Matsuoka, T. Shinohara, Kyoung-Sook Kim, 2022, ArXiv.

Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding

M. Matsuoka, T. Shinohara, Xin Liu, 2022, ArXiv.

DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds

M. Matsuoka, T. Shinohara, Kyoung-Sook Kim, 2023, Int. J. Appl. Earth Obs. Geoinformation.

A Simulator for Analyzing the Balance of Mafia Game

Qiong Chang, Qiong Chang, 2020, 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS).

A deep learning framework for realistic robot motion generation

Soichiro Ikuno, Ran Dong, Qiong Chang, 2021, Neural Computing and Applications.

Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation

M. Matsuoka, T. Shinohara, Kyoung-Sook Kim, 2022, Neurocomputing.

Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention

M. Matsuoka, T. Shinohara, Xin Liu, 2022, BMVC.

Real-Time High-Quality Stereo Matching System on a GPU

Tsutomu Maruyama, Qiong Chang, T. Maruyama, 2018, 2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

Efficient stereo matching on embedded GPUs with zero-means cross correlation

T. Maruyama, Xin Liu, Masaki Onishi, 2021, J. Syst. Archit..

Real-Time Stereo Vision System: A Multi-Block Matching on GPU

Tsutomu Maruyama, Qiong Chang, T. Maruyama, 2018, IEEE Access.