Qianru Sun 孙倩茹
I am an Assistant Professor (Tenure Track) in the School of Information Systems, Singapore Management University, since Aug 2019. From Apr 2018 to Jul 2019, I was a Joint Research Fellow working with Prof. Tat-Seng Chua at the National University of Singapore and Prof.Dr. Bernt Schiele at the MPI for Informatics. From Mar 2016 to Mar 2018, I held the Lise Meitner Award Fellowship and worked with Prof.Dr. Bernt Schiele and Prof. Dr. Mario Fritz at the MPI for Informatics. In Jan 2016, I got my Ph.D. degree from Peking University and my thesis was advised by Prof. Hong Liu. From Oct 2014 to Jan 2015, I was a visiting student advised by Prof. Tatsuya Harada at the University of Tokyo. My research interests are computer vision and machine learning that aim to develop efficient algorithms and systems for visual understanding.
qianrusun AT smu DOT edu DOT sg80 Stamford Rd, Singapore 178902
News
- A Post-Doc position is open (image recognition/detection/segmentation)! If interested, drop me an email with your CV.
- A PhD position in Computer Science is open (full scholarship)! [info]
- We release the code of E3BM (SOTA few-shot learning results and LITTLE overhead costs)! [github]
- We will release soon the code of Mnemonics Training (SOTA multi-class incremental learning results on ImageNet)! [github]
- We release the code of VC R-CNN (SOTA image representation on MS-COCO Detection and Open Images)! [github]
- Two papers respectively about incremental learning (oral presentation) and unsupervised learning are accepted to CVPR'20.
- We will host the ACM Multimedia Asia 2020 conference in Singapore! Paper submission deadline: 21 July 2020. [homepage]
- An article about my research is posted on "Research at SMU Nov 2019 Issue". [info]
- Our paper about semi-supervised few-shot learning is accepted to NeurIPS'19.
- Our paper about mixed-dish image recognition is accepted to ACM Multimedia'19.
- Our paper about visual relationship feature augmentation is accepted to BMVC'19.
- Our paper about few-shot learning is accepted to CVPR'19.
Research
- Computer Vision: image recognition, image generation, person re-identification, human action recognition
- Machine Learning: meta-learning, incremental learning, semi-supervised learning, unsupervised learning
Projects
- Oct 2019 - Mar 2021 Fine-Grained Food Image Recognition (SINGAPORE NATIONAL RESEARCH FOUNDATION)
- Mar 2020 - Feb 2021 Automated Deep Neural Network Initiation (ALIBABA GROUP)
- Mar 2020 - Feb 2021 Class-Incremental Learning System (SINGAPORE MOE TIER 1 GRANT)
Teaching
- 2019/2020 Term1 IS111-Introduction to Programming (Sections G8-9-12, W1-4)
- 2019/2020 Term2 IS112-Data Management (Sections G12-13, W1-15)
Service
- ACM MM Asia'20, Organization Committee (Program Chair)
- NeurIPS'20, ECCV'20, IJCAI'20, AAAI'20, CVPR'20'19'18, ICCV'19'17, Program Committee
- CVPR'20'19/ECCV'18 WiCV Workshop, Program Committee
- CVPR'19'18 CV-COPS Workshop, Program Committee
- ECCV'18 CEFRL Workshop, Program Committee
- IEEE Trans. on PAMI/TMM/TCSVT/TIP/NNLS, IJCV, PR, Reviewer
- Neural Processing Letters, Guest Editor
- CAAI Transactions on Intelligence Technology, Guest Editor
- Lise Meitner Award Fellowship (MPII) 2018, Organization Committee
PhD Students
- Jun 2018 - Yaoyao Liu, MPI for Informatics (with Prof.Dr. Bernt Schiele)
- Jan 2019 - Xinzhe Li, Shanghai Jiaotong Univeristy (with Prof. Shibao Zheng)
- Sep 2019 - Sicheng Yu, Singapore Management University (with Prof. Jing Jiang)
- Jan 2020 - Zhaozheng Chen, Singapore Management University
- Jan 2020 - Chunhui Bao, Singapore Management University
Visiting Students
- Nov 2019 - Wei Qin, Hefei University of Technology
- Jan 2020 - Xin Fu, Beijing Jiaotong University
Selected Talks
- Jan 2018, ICMR 2018 Tutorial. Objects, Relationships, and Context in Visual Data [slides]
- Dec 2017, DVMM Lab at Columbia University. Pose Guided Person Image Generation [slides]
- Jul 2017, CVPR 2017 ODAR Workshop. Domain Based Social Relation Recognition [slides]
- Jul 2017, MPII & Saarland University. Your Photos Expose Your Social Life [slides]
Publications
Technical Reports
Meta-Transfer Learning through Hard Tasks
Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele
arXiv, 7 Oct 2019. (Extended)
[paper]
A Novel BiLevel Paradigm for Image-to-Image Translation
Liqian Ma, Qianru Sun, Bernt Schiele, Luc Van Gool
arXiv, 18 Apr 2019.
[paper]
Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation
Kyaw Zaw Lin, Weipeng Xu, Qianru Sun, Christian Theobalt, Tat-Seng Chua
arXiv, 26 Mar 2019.
[paper]
2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun
The 33rd Conference on Computer Vision and Pattern Recognition, CVPR'20. (Oral Presentation)
[pre-print]
[code]
[project]
Visual Commonsense R-CNN
Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun
The 33rd Conference on Computer Vision and Pattern Recognition, CVPR'20.
[pre-print]
[code]
2019
2018
A Hybrid Model for Identity Obfuscation by Face Replacement
Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele
The 15th European Conference on Computer Vision, ECCV'18.
[paper]
[decoder code]
Natural and Effective Obfuscation by Head Inpainting
Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz
2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR'18.
[paper]
[decoder code]
[PDM code]
2017
Online Growing Neural Gas for Anomaly Detection in Changing Surveillance Scenes
Qianru Sun, Hong Liu, Tatsuya Harada
Pattern Recognition. April 2017, Volume 64, Pages 187-201.
[paper]