Xiaojuan Qi   Assistant Professor Chow Yei Ching Building, Rm 518 Dept. of Electrical and Electronic Engineering University of Hong Kong Hong Kong Email: xjqi [at] eee.hku.hk [Curriculum Vitae] [Our Lab] [Lab Members][Lab GitHub]

Biography

I am currently an assistant professor at the University of Hong Kong. My research lies in the broad areas of Computer Vision, Deep Learning, and Artificial Intelligence. We aim at endowing machines with the capability to perceive, understand, and reconstruct the visual world with the following focuses: 1) developing label-efficient and computation-efficient deep learning algorithms for natural and medical image analysis; 2) designing effective techniques for 3D scene understanding and reconstruction; and 3) building lifelong learning machines that can learn continuously, transfer previous knowledge and discover novel concepts (through interaction).

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.

Please do not hesitate to drop me an email if you are interested in joining my lab.

Experiences

• Postdoctoral Researcher| Torr Vision Group, University of Oxford, Oxford United Kingdom | Dec. 2018 – Jan. 2020
  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

• ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection
  Jihan Yang*, Shaoshuai Shi*, Zhe Wang, Hongsheng Li, Xiaojuan Qi.
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  [Code]

• PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
  Mutian Xu*, Runyu Ding*, Hengshuang Zhao, Xiaojuan Qi.
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  [Code]

• 3D-to-2D Distillation for Indoor Scene Parsing
  Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  Oral (4.3% acceptance rate)
  [Code]

• Fully Convolutional Networks for Panoptic Segmentation
  Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  Oral (4.3% acceptance rate)
  [Code]

• One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
  Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  [Code]

• Lightweight Generative Adversarial Networks for Text-guided Image Manipulation
  Bowen Li, Xiaojuan Qi, Philip H.S. Torr, Thomas Lukasiewicz.
  Conference on Neural Information Processing Systems (NeurIPS), 2020.
  

• GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
  Xiaojuan Qi*, Zhengzhe Liu*, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 (accepted).
  [Code][Training data]

• Domain-invariant Stereo Matching Networks
  Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Adrian Prisacariu, Benjamin Wah, Philip H.S. Torr.
  European Conference on Computer Vision (ECCV), 2020.
  Oral (2% acceptance rate)
  [Code]

• Few-shot Action Recognition via Improved Attention with Self-supervision
  Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H.S. Torr, Piotr Koniusz.
  European Conference on Computer Vision (ECCV), 2020.
  Spotlight (5% acceptance rate)

• CN: Channel Normalization For Point Cloud Recognition
  Zetong Yang*, Yanan Sun*, Shu Liu, Xiaojuan Qi, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2020.
  

• Memory Selection Network for Video Propagation
  Ruizheng Wu*, Huaijia Lin*, Xiaojuan Qi, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2020.
  

• Global Texture Enhancement for Fake Face Detection in the Wild
  Zhengzhe Liu, Xiaojuan Qi, Philip H.S. Torr.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

• Unifying Training and Inference for Panoptic Segmentation
  Qizhu Li, Xiaojuan Qi, Philip H.S. Torr.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

• ManiGAN: Text-Guided Image Manipulation
  Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H.S. Torr.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  [Code]

• Controllable Text-to-Image Generation
  Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H.S. Torr.
  Conference on Neural Information Processing Systems (NeurIPS), 2019.
  [Code]

• AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation
  Huaijia Lin, Xiaojuan Qi, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2019.
  [Code]

• Improved Techniques for Training Adaptive Deep Networks
  Hao Li*, Hong Zhang*, Xiaojuan Qi, Ruigang Yang, Gao Huang.
  IEEE International Conference on Computer Vision (ICCV), 2019.

• 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][Training data]

• 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.
Outstanding Reviewer Award at ICCV 2019.
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

• Program Committees:
Area Chair for ICCV 2021.
Area Chair for CVPR 2021.
Area Chair for AAAI 2021.
Senior Program Committee Member for AAAI 2020.

• Conference Review:
European Conference on Computer Vision (ECCV) 2020.
Neural Information Systems Processing Conference (NIPS) 2020.
International Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
Internation Conference on Learning Representations (ICLR) 2020.
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:
Nature Machine Intelligence.
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