Xiaojuan Qi   Postdoctoral Researcher Engnineering Science Building Dept. of Engineering Science University of Oxford Oxford, UK Email: xiaojuan.qi [at] eng.ox.ac.uk [Curriculum Vitae (CV)]

Biography

I am currently a postdoctoral researcher in University of Oxford, supervised by Prof. Philip H. S. Torr . Prior to that, I obtained my Ph.D. degree in Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK), supervised by Prof. Jiaya Jia in 2018. Before that, I got the B.Eng. degree in Electronic Science and Technology at Shanghai Jiao Tong University (SJTU) supervised by Prof. Ya Zhang in 2014.

My research interests include artificial intelligence, computer vision, robotics, deep learning, and medical image analysis. Specifically, I study "how intelligent systems can perceive, understand and reconstruct the visual world".

Experiences

• Postdoctoral Researcher| Torr Vision Group, University of Oxford, Oxford United Kingdom | Dec. 2018 – Present
  Advisor: Philip H. S. Torr
  
• Research Intern | Intel Visual Computing Lab, Intel, Santa Clara, California, USA | May. 2017 – Nov. 2017
  Advisor: Vladlen Koltun
  Topic: Image Synthesis
  
• Visiting Student | Machine Learning Group, University of Toronto, Toronto, Canada | Sep. 2016 – Dec . 2016
  Advisor: Raquel Urtasun & Sanja Fidler
  Topic: RGBD Semantic Segmentation
  

Selected Publications [Google Scholar]

*: equal contribution

• 3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis
  Xiaojuan Qi*, Zhengzhe Liu*, Qifeng Chen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

• Image Inpainting via Generative Multi-column Convolutional Neural Networks
  Yi Wang, Xin Tao, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia.
  Conference on Neural Information Processing Systems (NIPS), 2018.
  [Code]

• ICNet for Real-Time Semantic Segmentation on High-Resolution Images
  Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia
  European Conference on Computer Vision (ECCV), 2018.
  [Code]

• GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction
  Li Jiang, Shaoshuai Shi, Xiaojuan Qi, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2018.
  Oral (2.1% acceptance rate)

• Self-Boosted Gesture Interactive System with ST-Net
  Zhengzhe Liu*, Xiaojuan Qi*, Lei Pang.
  ACM Multimedia Conference (ACM MM), 2018.
  Full Research Paper
  

• GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
  Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia
  IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018.
  [Code]

• Semi-parametric Image Synthesis
  Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun
  IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018.
  Oral (2.1% acceptance rate)
  [Code][Video][Supplement]

• Referring Image Segmentation via Recurrent Refinement Networks
  Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018.

• 3D Graph Neural Networks for RGBD Semantic Segmentation
  Xiaojuan Qi, Renjie Liao, Jiaya Jia, Sanja Fidler, Raquel Urtasun
  IEEE International Conference on Computer Vision (ICCV), 2017
  Oral (2.1% acceptance rate)
  [Code]
• Pyramid Scene Parsing Network
  Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  Winner in ImageNet Scene Parsing Challenge 2016
  [Project & Code]

• Augmented Feedback in Semantic Segmentation under Image Level Supervision
  Xiaojuan Qi, Zhengzhe Liu, Jianping Shi, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2016.
  

• DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
  Hao Chen, Xiaojuan Qi, Lequan Yu , Pheng-Ann Heng.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  

• Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
  Shu Liu, Xiaojuan Qi, Jianping Shi, Jiaya Jia
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
  Oral (3.9% acceptance rate)
  

• Deep Contextual Networks for Neuronal Structure Segmentation
  Hao Chen*, Xiaojuan Qi*, Jie-Zhi Cheng, Pheng-Ann Heng.
  Association for the Advancement of Artificial Intelligence (AAAI), 2016
  Oral
  

• Semantic Segmentation with Object Clique Potential
  Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia
  IEEE International Conference on Computer Vision (ICCV), 2015
  

Honors and Awards

Full Oral presentations (acceptance rate about 2%-4%) at ECCV'18, CVPR'18, ICCV'17, CVPR'16, AAAI'16.
CVPR'18 Doctoral Consortium Travel Award.
Outstanding Reviewer Award at ICCV 2017.
Certificate of Merit for Best TA (Fall 2016 - 2017).
Hong Kong PhD Fellowship Award (200 candidates in Hong Kong), 2014 - 2018.
1st Place Winner at the ImageNet Scene Parsing Challenge, 2016.
1st Place Winner at MICCAI Gland Segmentation Challenge, 2015.
Excellent Graduate Award, Shanghai Jiao Tong University, 2014.
Excellent Student Scholarship, Shanghai Jiao Tong University, 2011 - 2013.
SCSK Corporation (Japan) Scholarship, 2013.
Pan Wenyuan (Tai Wan) Scholarship, 2011.

Professional Activities

• Conference Review:
International Conference on Computer Vision (ICCV) 2019.
British Machine Vision Conference (BMVC) 2019.
International Conference on Computer Vision and Pattern Recognition (CVPR) 2019.
International Joint Conference on Artificial Intelligence (IJCAI) 2019.
European Conference on Computer Vision (ECCV) 2018.
International Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
Neural Information Systems Processing Conference (NIPS) 2018.
Asian Conference on Computer Vision (ACCV) 2018.
International Joint Conference on Artificial Intelligence (IJCAI) 2018.
International Conference on Computer Vision (ICCV) 2017.

• Journal Review:
International Journal on Computer Vision (IJCV).
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).
IEEE Transaction on Image Processing (TIP).
IEEE Transaction on knowledge and Data Engineering (TKDE).
ACM Transaction on Intelligent Systems and Technology (ACM TIST).
Pattern Recognition (PR).
Medical Image Analysis (MedIA).
IEEE Transaction on Medical Imaging (TMI).

Teaching

CSCI 4190 Introduction to Social Networks	Fall	2016-2017
ENGG 5104 Image Processing and Computer Vision (Certificate of Merit for Best TA)	Fall	2016-2017
ENGG 2601A Technology, Society and Engineering Practice	Spring	2016-2017
CSCI 3290 Computational Photography	Fall	2015-2016
ENGG 2120 Digital Logic and Systems	Fall	2014-2015