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Summary

Dr. Qianru Sun is currently a Research Fellow in the NExT++ lab, National University of Singapore. She is leading the computer vision group containing four PhD students, mainly working on image recognition and data augmentation tasks. Before that, she had been a post-doctor in the department of Computer Vision and Multimodal Computing, Max-Planck Institute for Informatics in Germany for two years. She holds a PhD degree from the School of Electronics Engineering and Computer Science, Peking University since Jan. 2016. Her research interests include computer vision and pattern recognition. Specific experiences have been made in human action recognitionanomaly event detection in videossocial relation recognition and head image inpainting in social media photos, person image generation for both low-resolution re-identification images and high-resolution fashion photos.

Experiences

Apr 2018Apr 2019

Group Leader (Research Fellow)

National University of Singapore

Department: School of Computing (SoC). Lab: NExT++. Director: Prof.Tat-Seng Chua

Students and Interests:

  • Yaoyao Liu:  Fine-grained Image Recognition
  • Xiaogang Wang:  High-resolution Image Generation
  • Binbin Bian:  Fashion Image Augmentation
  • Zaw Lin:  3D Object View Transforms and Projection

Mar 2016Mar 2018

Postdoctoral researcher

Max-Planck Institute for Informatics

Department: Computer Vision and Multimodal Computing. Director: Prof. Dr. Bernt Schiele

Collaborators in MPI: Dr. Mario Fritz and Prof. Dr. Christian Theobalt

Collaborators in KU Leuven: Prof. Tinne Tuytelaars and Prof. Luc Van Gool

Interests: Social relation recognition, Conditional image generation

Publications in: ECCV'18, CVPR'18, NIPS'17, CVPR'17

Sep 2010Jan 2016

PhD

Peking University

Supervisor: Prof. Hong Liu

Open Lab on Human Robot Interaction (HRI Lab) 

http://robotics.szpku.edu.cn/c/

School of Electronics Engineering and Computer Science

Major: Electronic Information Science and Technology (Rank: top 10%)   

Interests: Human action recognition and anomaly detection in videos (third-person view)

Publications in: ACCV'12, BMVC'13, ICIP'13, ICIP'14, Neurocomputing, Pattern Recognition, etc.

Sep 2014Jan 2015

PhD exchange student

The University of Tokyo

Machine Intelligence Lab (Harada Ushiku Lab)

http://www.mi.t.u-tokyo.ac.jp/

Information Science and Technology

Project: Anomalous activity detection in surveillance videos.

Sep 2006Jul 2010

Bachelor of Science

Nanjing University of Posts and Telecommunications

Major: Information and Computing Science   (Rank: top 1)   

Main courses: mathematics courses and basic computer science courses, e.g., probability theory, mathematical analysis, numerical approximation, advanced algebra, and digital signal processing

Project Involved

Mar 2016Feb 2019

Privacy Implications of Visual Data Dissemination

Methods and Tools for Understanding and Controlling Privacy in Social Photosets

Understand what information can be extracted from public data, how can persons are linked, how does this compare to traditional social networks, how can we model and evaluate different possible actions a user can take. My work includes the analysis of egocentric videos people upload to public networks and making efficient models to understanding the aims, hobbies, and possible intentions contained in videos.

May 2013Dec 2016

Embedded Bionic Vision System for Human-Machine Interaction in Complicated Scenarios

with Ministry of Science and Technology

Implementing bionic vision in mobile robots to achieve target detection and different recognition tasks, e.g., person re-identification, and spoken/action command recognition. My work includes the design and implement of algorithms for daily activity recognition and  interactive command reception.

Sep 2012Aug 2014

Intelligent Surveillance System

for Public Service Technology Platform

Building a demonstration system implementing intelligent surveillance and salient event summary storage. My work includes the design and implement of algorithms for human behavior recognition in surveillance environments and storing event abstracts correspondingly.

Apr 2011Mar 2013

Abnormal Event Detection and Object Tracking for Monitoring System

with Shenzhen Science and Technology Innovation Committee

Developing algorithms for abnormal behavior detection and real-time alarm to build an efficient monitoring system through network cameras.  My work includes the design and implement of algorithms for human activity modeling and anomalous event detection in surveillance environments.

Publication

  1. Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt and Bernt Schiele. A Hybrid Model for Identity Obfuscation by Face Replacement. ECCV 2018. (In press. Acceptance rate 24.0%) [Pre-print
  2. Qianru Sun*, Liqian Ma*, Seong Joon Oh, Luc Van Gool, Bernt Schiele and Mario Fritz. Natural and Effective Obfuscation by Head Inpainting. CVPR 2018. (In press. Acceptance rate 29.3%) [Paper]
  3. Liqian Ma*, Qianru Sun*, Stamatios GeorgoulisLuc Van Gool, Bernt Schiele and Mario Fritz. Disentangled Person Image Generation. CVPR 2018. (In press. Acceptance rate 29.3%) [Paper]
  4. Liqian Ma, Qianru Sun*, Xu Jia*, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool. Pose Guided Person Image Generation. NIPS 2017. (Acceptance rate 20.9%) [Paper]
  5. Qianru Sun, Bernt Schiele and Mario Fritz. A Domain Based Approach to Social Relation Recognition. CVPR 2017, Pages 3481-3490. (Acceptance rate 29.9%) [Paper]
  6. Qianru Sun, Hong Liu and Tatsuya Harada. Online Growing Neural Gas for Anomaly Detection in Changing Surveillance Scenes. Pattern Recognition. April 2017, Volume 64, Pages 187-201. [Paper]
  7. Qianru Sun, Hong Liu, Liqian Ma and Tianwei Zhang. A Novel Hierarchical Bag-of-Words Model for Compact Action Representation. NeuroComputing, Volume 174 Part B, 22 January 2016, Pages 722–732. [Paper]
  8. Qianru Sun, Hong Liu, Mengyuan Liu and Tianwei Zhang. Activity Prediction by Mapping Key Grouplets to Recurrent Self-Organizing Map. NeuroComputing, Volume 177, 12 February 2016, Pages 427–440. [Paper]
  9. Mengyuan Liu, Hong Liu, Qianru Sun, Tianwei Zhang and Runwei Ding. Salient Pairwise Spatio-temporal Interest Points for Real-time Activity Recognition. CAAI Transactions on Intelligence Technology, Volume 1, Issue 1, January 2016, Pages 14–29. [Paper]
  10. Runwei Ding, Qianru Sun, Mengyuan Liu, Hong Liu. A compact representation of human actions by sliding coordinate coding. International Journal of Advanced Robotic Systems 14 (6), 1729881417746114. [Paper]
  11. Liqian Ma, Hong Liu, Liang Hu, Can Wang, and Qianru Sun. Orientation Driven Bag of Appearances for Person Re-identification. arXiv preprint arXiv:1605.02464. [Paper]
  12. Hong Liu, Mengyuan Liu and Qianru Sun. Learning Directional Co-occurrence for Human Action Classification. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), May 4-9, 2014, Florence, Italy. [Paper(PDF)]
  13. Mengyuan Liu, Hong Liu and Qianru Sun. Action Classification by Exploring Directional Co-occurrence of Weighted STIPS. IEEE International Conference on Image Processing (ICIP 2014), Paris, France. [Paper(PDF)]
  14. Yuke Sun, Hong Liu and Qianru Sun. Online Learning on Incremental Distance Metric for Person Re-identification. International Conference on Robotics and Biomimetics (ROBIO 2014), December 5-10, 2014, Bali, Indonesia. [Paper(PDF)]
  15. Hong Liu, Qiaoduo Zhang and Qianru Sun. Human Action Classification Based on Sequential Bag-of-Words Model. International Conference on Robotics and Biomimetics (ROBIO 2014), December 5-10, 2014, Bali, Indonesia. [Paper(PDF)]
  16. Hong Liu, Zilin Liang and Qianru Sun. Robust Tracking with Discriminative Ranking Middle-level Patches. International Journal of Advanced Robotic Systems, 2014, 11:68. doi: 10.5772/ 58430. [Paper(PDF)]
  17. Qianru Sun, Wenmin Wang and Hong Liu. A study of human actions representation in video sequences. CAAI Transactions on Intelligent Systems, 8(3): 189-198, June 2013.
  18. Qianru Sun, Hong Liu. Inferring Ongoing Human Activities Based on Recurrent Self-Organizing Map Trajectory. The 24th British Machine Vision Conference (BMVC 2013), Pages 11.1-11.10, September 9-13, 2013, Bristol, U.K.. [Paper(PDF)]
  19. Qianru Sun, Hong Liu. Learning Spatio-Temporal Co-occurrence Correlograms for Efficient Human Action classification. IEEE International Conference on Image Processing (ICIP 2013), Pages 3220-3224, September 15-18, 2013, Melbourne, Australia. [Paper(PDF)]
  20. Qianru Sun, Hong Liu. Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram. The 11th Asian Conference on Computer Vision (ACCV 2012 oral), Pages 425-437, November 5-9, 2012, Daejeon, Korea. (Acceptance Rate 3.6%) [Paper(PDF)]

Honor & Award

  • Mar 2016  Lise Meitner Award, by Max Planck Institute for Informatics
  • Sep 2014  Universiade International Scholarship by Shenzhen Universiade Scholarship Foundation
  • Oct 2013  China Reconstruct Scholarship  by PKU
  • Oct 2011  Social Work Award  by PKU
  • Aug 2011  Volunteer Forerunner Individual  by Universiade Organizing Committee
  • Oct 2011  Social Work Award  by PKU
  • Oct 2010-2015  Doctoral Second-class Scholarship by PKU
  • Oct 2008-2009  Tong Ding Second-class Scholarship by NJUPT 
  • Oct 2007-2009  Pivot of Merit Student  by NJUPT
  • Oct 2007-2009  School First-class Scholarship  by NJUPT
  • Oct 2007  National Scholarship  by National Ministry of Education

External Activities

  • 2018 ICMR Tutorial: Objects, Relationships, and Context in Visual Data [link][slides]
  • 2018 ECCV CEFRL  Workshop, Program Committee [link]
  • 2018 CVPR CV-COPS Workshop, Program Committee [link]
  • 2017 Dec, invited talk in DVMM, Columbia University, USA [slides]
  • 2017 Jul, invited talk in the ODAR Workshop, CVPR'17, USA
  • 2017 Jul, invited speaker in the Joint Lecture Series (MPI & Saarland University, 2017) [slides]
  • SPLINE 2016, Technical Committee
  • CAAI Transactions on Intelligence Technology, Editorial Board Member
  • Reviewer: ICCV, ICRA, ISWC, TMM, IJCV, NeuroComputing, TCSVT
  • Lise Meitner Award Fellowship for Excellent Women in Computer Science 2018, Organization Committee