Qianru Sun

Research Fellow
NExT++ Lab
qianrusun@comp.nus.edu.sg


School of Computing
National University of Singapore
Computing 1, 13 Computing Drive, Singapore 117417

Keywords: Computer Vision Machine Learning

About me

I am a research fellow working with Prof. Tat-Seng Chua at National University of Singapore (since Apr. 2018). I am leading the computer vision group of two PhD students (Kyaw Zaw Lin and Xiaogang Wang) and three visiting PhD students (Yaoyao Liu, Xin Fu and Lixi Deng).

From Mar. 2016 to Mar. 2018, I was a post-doctoral researcher working with Prof.Dr. Bernt Schiele and Dr. Mario Fritz at Max-Planck Institute for Informatics (MPII), Germany. Now, I hold a visiting researcher position at MPII. Here is my MPII homepage.

From Sep. 2010 to Jan. 2016, I was a PhD student advised by Prof. Hong Liu at Peking University, China. In addition, from Sep. 2014 to Dec. 2014, I was a visiting PhD student advised by Prof. Tatsuya Harada at the University of Tokyo, Japan.

Research Interests

    Computer Vison: image recognition; image generation

    Machine Learning: meta-learning; transfer learning; curriculum learning

Tutorials

Objects, Relationships, and Context in Visual Data
Hanwang Zhang, Qianru Sun
ICMR 2018 Tutorial    Link   Slides

Invited Talks

Pose Guided Person Image Generation
Qianru Sun
DVMM Lab, Columbia University    Slides
Domain Based Social Relation Recognition
Qianru Sun
CVPR 2017 ODAR Workshop    Link   Slides
Your Photos Expose Your Social Life
Qianru Sun
Joint Lecture Series (MPI & Saarland University, 2017)    Slides

Publications

Meta-Transfer Learning for Few-Shot Learning
Qianru Sun, Yaoyao Liu*, Tat-Seng Chua and Bernt Schiele
In submission    pre-print
Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation
Kyaw Zaw Lin, Weipeng Xu, Qianru Sun, Christian Theobalt, Tat-Seng Chua
In submission    pre-print
A Hybrid Model for Identity Obfuscation by Face Replacement
Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt and Bernt Schiele
ECCV 2018    paper   openaccess
Natural and Effective Obfuscation by Head Inpainting
Qianru Sun*, Liqian Ma*, Seong Joon Oh, Luc Van Gool, Bernt Schiele and Mario Fritz
CVPR 2018 (Accept rate: 29.3%)    paper   supp   openaccess
Disentangled Person Image Generation
Liqian Ma, Qianru Sun*, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele and Mario Fritz
CVPR 2018 spotlight (Accept rate: about 7.0%)    paper   supp   project   openaccess
Pose Guided Person Image Generation
Liqian Ma, Qianru Sun*, Xu Jia*, Bernt Schiele, Tinne Tuytelaars and Luc Van Gool
NIPS 2017 (Accept rate: 20.9%)    paper   github
A Domain Based Approach to Social Relation Recognition
Qianru Sun, Bernt Schiele and Mario Fritz
CVPR 2017 (Accept rate: 29.9%)    paper   supp   poster   github   openaccess
Online Growing Neural Gas for Anomaly Detection in Changing Surveillance Scenes
Qianru Sun, Hong Liu and Tatsuya Harada
Pattern Recognition, April 2017, Volume 64, Pages 187-201    paper
A Novel Hierarchical Bag-of-Words Model for Compact Action Representation
Qianru Sun, Hong Liu, Liqian Ma and Tianwei Zhang
NeuroComputing, Volume 174 Part B, 22 January 2016, Pages 722-732    paper
Activity Prediction by Mapping Key Grouplets to Recurrent Self-Organizing Map
Qianru Sun, Hong Liu, Mengyuan Liu and Tianwei Zhang
NeuroComputing, Volume 177, 12 February 2016, Pages 427-440    paper
Salient Pairwise Spatio-temporal Interest Points for Real-time Activity Recognition
Mengyuan Liu, Hong Liu, Qianru Sun, Tianwei Zhang and Runwei Ding
CAAI Transactions on Intelligence Technology, Volume 1, Issue 1, January 2016, Pages 14-29    paper
Action Classification by Exploring Directional Co-occurrence of Weighted STIPS
Hong Liu, Mengyuan Liu, Qianru Sun
ICASSP 2014    paper
A compact representation of human actions by sliding coordinate coding
Runwei Ding, Qianru Sun, Mengyuan Liu and Hong Liu
International Journal of Advanced Robotic Systems, 14(6)    paper
Action Classification by Exploring Directional Co-occurrence of Weighted STIPS
Mengyuan Liu, Hong Liu and Qianru Sun
ICIP 2014    paper
Online Learning on Incremental Distance Metric for Person Re-identification
Yuke Sun, Hong Liu and Qianru Sun
ROBIO 2014    paper
Human Action Classification Based on Sequential Bag-of-Words Model
Hong Liu, Qiaoduo Zhang and Qianru Sun
ROBIO 2014    paper
Robust Tracking with Discriminative Ranking Middle-level Patches
Hong Liu, Zilin Liang and Qianru Sun
International Journal of Advanced Robotic Systems, doi: 10.5772/58430, 2014    paper
Inferring Ongoing Human Activities Based on Recurrent Self-Organizing Map Trajectory
Qianru Sun and Hong Liu
BMVC 2013    paper
Learning Spatio-Temporal Co-occurrence Correlograms for Efficient Human Action classification
Qianru Sun and Hong Liu
ICIP 2013    paper
Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram
Qianru Sun and Hong Liu
ACCV 2012 Oral Presentation (Accept rate: 3.6%)    paper

Professional Services

  • 2018 ECCV CEFRL Workshop, Program Committee
  • 2018 ECCV WiCV Workshop, Program Committee
  • 2018 CVPR CV-COPS Workshop, Program Committee
  • 2016 SPLINE, Technical Committee
  • Reviewer of CVPR2019, ICCV2017, ISWC2016, TMM, IJCV, NeuroComputing, TCSVT
  • Neural Processing Letters, Guest Editor
  • CAAI Transactions on Intelligence Technology, Editorial Board Member
  • Lise Meitner Award Fellowship for Excellent Women in Computer Science 2018, Organization Committee

Recent Awards

  • 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 Peking University

News

13 Jul 2018

I give a talk at Hefei University of Technology.

04 Jul 2018

One paper is accepted by ECCV 2018.

11 Jun 2018

I give a tutorial in ACM ICMR 2018.

02 Apr 2018

I join the NExT++ lab, NUS.

27 Mar 2018

I give a talk at Shandong University.

19 Feb 2018

Two papers are accepted by CVPR 2018.

15 Dec 2017

I give a talk at Columbia University.

05 Sep 2017

One paper is accepted by NIPS 2017.