Fanglue Zhang

Lecturer School of Engineering and Computer Science

• address
• 04 463 5233 x 7527
• CO331, Cotton Building, Kelburn Campus

Qualifications

After earning my doctoral degree working on structure-based image analysis and editing at the Visual Media Lab at Tsinghua in 2015, I continued working as a Post-Doctoral researcher and collaborating on research projects with industry, where my research focus was mainly on the intelligent image and video editing and enhancement. In 2017, my research was recognised by the Faculty of Engineering and Computer Graphics group at Victoria University of Wellington; I was appointed to the lecturer position. I incorporate my background in Virtual Reality into the CG group’s research by solving the problems of improving the visual quality of 360 degree videos. I am also working on a SfTI Robotics project, where I focus on providing efficient deep learning method for RGB-D object recognition and segmentation.

I have contributed to intelligent image/video processing and editing, with my work being published in the highest quality journals and conferences in Computer Graphics, including SIGGRAPH/SIGGRAPH Asia, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Multimedia, and IEEE Transactions on Image Processing. My work on repeated structure and shape analysis, library-driven editing, and aesthetic-based composition adjustment are all state-of-the-art tools on image and video editing tasks.

PhD Supervision

If you are interested in PhD/Master/Summer research under my supervision, then please contact me describing why and what you would like to research. I have a few current areas that I would be especially interested in working on computational photography, deep learning based graphics application and robotic vision.

Research Projects

• Deep Image Manipulation - Deep image/video synthesis and enhancement
• RGB-D data processing for robotics - RGB-D image segmentation and video analysis
• Image stitching - Image and stereo image stitching for panorama generation

Publications

2019:

Xian Wu, Rui-Long Li, Fang-Lue Zhang, J.C. Liu, Jue Wang, Arik Shamir, Shi-Min Hu, accepted by IEEE Transactions on Image Processing. 2019

--Graph CNNs with Motif and Variable Temporal Block for Skeleton-based Action Recognition, Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang,Shihong Xia, AAAI Conference on Artificial Intelligence (AAAI) 2019

--Stereoscopic Image Stitching with Rectangular Boundaries, Yun Zhang, Yukun Lai, Fang-Lue Zhang, accepted by CGI 2019 (The Visual Computer)

2018:

--Detecting and Removing Visual Distractors for Video Aesthetic Enhancement, Fang-Lue Zhang, Xian Wu, Rui-Long Li, Zhao-Heng Zheng, Jue Wang, Shi-Min Hu, IEEE Transactions on Multimedia, 2018

--SF-Net: Learning Scene Flow from RGB-D Images with CNNs, Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Fang-Lue Zhang, Ming-Ze Yuan, Shihong Xia, BMVC 2018

2017:

--PlenoPatch: Patch-based Plenoptic Image Manipulation, Fang-Lue Zhang, JueWang, Eli Shechtman, Zi-Ye Zhou, Jia-Xin Shi and Shi-Min Hu, IEEE Transactions on Visualization and Computer Graphics, 2017

--Image-based clothes changing system. Zhao-Heng Zheng, Hao-Tian Zhang, Fang-Lue Zhang, Tai-Jiang Mu. Computational Visual Media, 1-11, 2017

--Robust tracking-by-detection using a selection and completion mechanism. Ruochen Fan, Fang-Lue Zhang, Min Zhang, Ralph R. Martin. Computational Visual Media, 1-10, 2017

--High-speed video generation with an event camera. Han-Chao Liu, Fang-Lue Zhang, David Marshall, L Shi, Shi-Min Hu. The Visual Computer (CGI 2017), 2017

--A survey of the state-of-the-art in patch-based synthesis. Connelly Barnes, Fang-Lue Zhang. Computational Visual Media, 1-18, 2017

2016:

--Robust Background Identification for Dynamic Video Editing, Fang-Lue Zhang, Xian Wu, Jue Wang, Hao-Tian Zhang, Shi-Min Hu. ACM Transactions on Graphics (SIGGRAPH Asia), 2016

2015:

--Simultaneous Camera Path Optimization and Distraction Removal for Improving Amateur Video. Fang-Lue Zhang, Jue Wang, Han Zhao, Ralph R. Martin, Shi-Min Hu. IEEE Transactions on Image Processing (TIP), 2015

--PatchTable: Efficient Patch Queries for Large Datasets and Applications. Connelly Barnes, Fang-Lue Zhang, Liming Lou, Xian Wu, Shi-Min Hu. ACM Transactions on Graphics (SIGGRAPH), 2015

2013:

--PatchNet: A Patch-based Image Representation for Interactive Library-driven Image Editing. Shi-Min Hu, Fang-Lue Zhang, Miao Wang, Ralph R. Martin and Jue Wang. ACM Transactions on Graphics (SIGGRAPH Asia), 2013

--Aesthetic Image Enhancement by Dependence-Aware Object Re-composition. Fang-Lue Zhang, Miao Wang, Shi-Min Hu. IEEE Transactions on Multimedia (TMM), 2013

2012:

--ImageAdmixture: Putting Together Dissimilar Objects from Groups. Fang-Lue Zhang, Ming-Ming Cheng, Jiaya Jia, Shi-Min Hu. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2012

--Data-Driven Object Manipulation in Images. Chen Goldberg, Tao Chen, Fang-Lue Zhang, Ariel Shamir, Shi-Min Hu. Computer Graphics Forum (Eurographics), 2012

2010:

--RepFinder: Finding Approximately Repeated Scene Elements for Image Editing. Ming-Ming Cheng, Fang-Lue Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu. ACM Transactions on Graphics (SIGGRAPH 2010), 30(4), 2010

Refer to Google Scholar for all my publications