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Giang Bui - IEEE Xplore Author Profile
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Giang Bui

Publications
7
Citations
808
Publications by Year
20142018
Co-Authors:
Show All Co-Authors (83)
Image of author Giang Bui

Giang Bui

Affiliation

Department of Computer Science
University of Missouri
Columbia, MO, USA

Publication Topics

Biography

Giang Bui received the B.S. and M.S. degrees from the Vietnam National University, Hanoi, in 2004 and 2007, respectively. He is currently pursuing the degree with the University of Missouri–Columbia. He is also a Research Assistant with the Computer Graphics and Image Understanding Laboratory, mentored by Dr. Y. Duan. His research interests include image and video processing, 3D computer vision, and machine learning.(Based on document published on 15 July 2015).
Publications
7
Citations
808
Publications by Year
20142018
Co-Authors:
Show All Co-Authors (83)
Author's Published Works

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Photograph LIDAR Registration Methodology for Rock Discontinuity Measurement

Brittany Morago;Giang Bui;Truc Le;Norbert H. Maerz;Ye Duan

IEEE Geoscience and Remote Sensing Letters
Year: 2018 | Volume: 15, Issue: 6 | Journal Article |
Cited by: Papers (9)
Rock detachment events along roadways pose public safety concerns but can be predicted and safely handled using geological measurements of discontinuities. With modern sensing technology, these measurements can be taken on 3-D point clouds and 2-D optical images that provide a high level of structural accuracy and visual detail. Doing so allows engineers to obtain the needed data with relative eas...Show More

Photograph LIDAR Registration Methodology for Rock Discontinuity Measurement

Brittany Morago;Giang Bui;Truc Le;Norbert H. Maerz;Ye Duan

Year: 2018 | Volume: 15, Issue: 6 | Journal Article |

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang;Lei Zhang;Bee Lim;Sanghyun Son;Heewon Kim;Seungjun Nah;Kyoung Mu Lee;Xintao Wang;Yapeng Tian;Ke Yu;Yulun Zhang;Shixiang Wu;Chao Dong;Liang Lin;Yu Qiao;Chen Change Loy;Woong Bae;Jaejun Yoo;Yoseob Han;Jong Chul Ye;Jae-Seok Choi;Munchurl Kim;Yuchen Fan;Jiahui Yu;Wei Han;Ding Liu;Haichao Yu;Zhangyang Wang;Honghui Shi;Xinchao Wang;Thomas S. Huang;Yunjin Chen;Kai Zhang;Wangmeng Zuo;Zhimin Tang;Linkai Luo;Shaohui Li;Min Fu;Lei Cao;Wen Heng;Giang Bui;Truc Le;Ye Duan;Dacheng Tao;Ruxin Wang;Xu Lin;Jianxin Pang;Jinchang Xu;Yu Zhao;Xiangyu Xu;Jinshan Pan;Deqing Sun;Yujin Zhang;Xibin Song;Yuchao Dai;Xueying Qin;Xuan-Phung Huynh;Tiantong Guo;Hojjat Seyed Mousavi;Tiep Huu Vu;Vishal Monga;Cristovao Cruz;Karen Egiazarian;Vladimir Katkovnik;Rakesh Mehta;Arnav Kumar Jain;Abhinav Agarwalla;Ch V. Sai Praveen;Ruofan Zhou;Hongdiao Wen;Che Zhu;Zhiqiang Xia;Zhengtao Wang;Qi Guo

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2017 | Conference Paper |
This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2 ...Show More

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang;Lei Zhang;Bee Lim;Sanghyun Son;Heewon Kim;Seungjun Nah;Kyoung Mu Lee;Xintao Wang;Yapeng Tian;Ke Yu;Yulun Zhang;Shixiang Wu;Chao Dong;Liang Lin;Yu Qiao;Chen Change Loy;Woong Bae;Jaejun Yoo;Yoseob Han;Jong Chul Ye;Jae-Seok Choi;Munchurl Kim;Yuchen Fan;Jiahui Yu;Wei Han;Ding Liu;Haichao Yu;Zhangyang Wang;Honghui Shi;Xinchao Wang;Thomas S. Huang;Yunjin Chen;Kai Zhang;Wangmeng Zuo;Zhimin Tang;Linkai Luo;Shaohui Li;Min Fu;Lei Cao;Wen Heng;Giang Bui;Truc Le;Ye Duan;Dacheng Tao;Ruxin Wang;Xu Lin;Jianxin Pang;Jinchang Xu;Yu Zhao;Xiangyu Xu;Jinshan Pan;Deqing Sun;Yujin Zhang;Xibin Song;Yuchao Dai;Xueying Qin;Xuan-Phung Huynh;Tiantong Guo;Hojjat Seyed Mousavi;Tiep Huu Vu;Vishal Monga;Cristovao Cruz;Karen Egiazarian;Vladimir Katkovnik;Rakesh Mehta;Arnav Kumar Jain;Abhinav Agarwalla;Ch V. Sai Praveen;Ruofan Zhou;Hongdiao Wen;Che Zhu;Zhiqiang Xia;Zhengtao Wang;Qi Guo

Year: 2017 | Conference Paper |

2D Matching Using Repetitive and Salient Features in Architectural Images

Brittany Morago;Giang Bui;Ye Duan

IEEE Transactions on Image Processing
Year: 2016 | Volume: 25, Issue: 10 | Journal Article |
Cited by: Papers (2)
Matching and aligning architectural imagery is an important step for many applications but can be a difficult task due to repetitive elements often present in buildings. Many keypoint descriptor and matching methods will fail to produce distinctive descriptors for each region of man-made structures, which causes ambiguity when attempting to match areas between images. In this paper, we outline a t...Show More

2D Matching Using Repetitive and Salient Features in Architectural Images

Brittany Morago;Giang Bui;Ye Duan

Year: 2016 | Volume: 25, Issue: 10 | Journal Article |

Integrating videos with LIDAR scans for virtual reality

Giang Bui;Brittany Morago;Truc Le;Kevin Karsch;Zheyu Lu;Ye Duan

2016 IEEE Virtual Reality (VR)
Year: 2016 | Conference Paper |
Cited by: Papers (5)
LIDAR range scans can be used to quickly create accurate 3D models for virtual reality and as a basis to visualize sets of photographs, videos, and virtual objects in a cohesive environment. The number of existing virtual reality programs that use LIDAR data as input has motivated our group to develop methods for fusing images with 3D scans and for augmenting the scans with both dynamic objects pr...Show More

Integrating videos with LIDAR scans for virtual reality

Giang Bui;Brittany Morago;Truc Le;Kevin Karsch;Zheyu Lu;Ye Duan

Year: 2016 | Conference Paper |

An Ensemble Approach to Image Matching Using Contextual Features

Brittany Morago;Giang Bui;Ye Duan

IEEE Transactions on Image Processing
Year: 2015 | Volume: 24, Issue: 11 | Journal Article |
Cited by: Papers (14)
We propose a contextual framework for 2D image matching and registration using an ensemble feature. Our system is beneficial for registering image pairs that have captured the same scene but have large visual discrepancies between them. It is common to encounter challenging visual variations in image sets with artistic rendering differences or in those collected over a period of time during which ...Show More

An Ensemble Approach to Image Matching Using Contextual Features

Brittany Morago;Giang Bui;Ye Duan

Year: 2015 | Volume: 24, Issue: 11 | Journal Article |

LIDAR-based virtual environment study for disaster response scenarios

Giang Bui;Prasad Calyam;Brittany Morago;Ronny Bazan Antequera;Trung Nguyen;Ye Duan

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
In the event of natural or man-made disasters, many videos may be collected by civilians and surveillance cameras that can be extremely useful for first responders trying to ascertain the extent of the damage. However, watching and analyzing numerous videos on separate screens can be a cumbersome task. Registering a set of 2D videos with a 3D model can provide an intuitive venue for viewing multip...Show More

LIDAR-based virtual environment study for disaster response scenarios

Giang Bui;Prasad Calyam;Brittany Morago;Ronny Bazan Antequera;Trung Nguyen;Ye Duan

Year: 2015 | Conference Paper |

Integrating LIDAR Range Scans and Photographs with Temporal Changes

Brittany Morago;Giang Bui;Ye Duan

2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops
Year: 2014 | Conference Paper |
Cited by: Papers (3)
Registering 2D and 3D data is a rapidly growing research area. Motivating much of this work is the fact that 3D range scans and 2D imagery provide different, but complementing information about the same subject. Combining these two perspectives leads to the creation of accurate 3D models that are texture mapped with high resolution color information. Imagery can even be obtained on different days ...Show More

Integrating LIDAR Range Scans and Photographs with Temporal Changes

Brittany Morago;Giang Bui;Ye Duan

Year: 2014 | Conference Paper |

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