Qianru Sun 孙倩茹
I am an assistant professor of computer science in the School of Computing and Information Systems, Singapore Management University (SMU). Here is my faculty profile. From 2018 to 2019, I was a 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 2016 to 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. I got my Ph.D. degree from Peking University in 2016 and my thesis was advised by Prof. Hong Liu. In 2014, 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
- I am awarded "outstanding reviewer" by NeurIPS '21.
- Two papers respectively about self-supervised learning and class-incremental learning are accepted to NeurIPS '21.
- Three papers respectively about causal attention, domain adaptation and semantic segmentation are accepted to ICCV '21.
- Our paper about food image segmentation is accepted to ACM Multimedia '21. [project]
- I am awarded "Lee Kong Chian Fellow" by SMU.
- We release a large-scale benchmark for food image segmentation with our pre-trained models using CNN and ViT! [project]
- I am awarded "outstanding reviewer" by ICLR '21.
- FoodAI++, a demo of our food image segmentation, is now online. [demo]
- Two papers respectively about incremental learning and zero-shot learning are accepted to CVPR '21.
- We will host the 1st workshop of Causality in Vision at CVPR '21! The best paper will be awarded a US$1,000 (cash) prize! [homepage]
- Two papers respectively about semantic segmentation and few-shot learning are accepted to NeurIPS '20.
- The extended paper of our CVPR'19 work (MTL) is accepted to IEEE Transactions on PAMI.
- Two papers respectively about semantic segmentation and few-shot learning are accepted to ECCV '20.
- Our paper about the application of teacher-student networks is accepted to IJCAI '20.
- We release the code of E3BM (SOTA few-shot learning results and LITTLE overhead costs)! [github]
- We release 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 '20 conference in Singapore! [homepage]
- An article about my research is posted on "Research at SMU Nov 2019 Issue". [link]
- 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: object recognition, image generation, semantic segmentation, etc.
- Machine Learning: meta-learning, incremental learning, semi-supervised learning, weakly-supervised learning, etc.
- Please kindly refer to the details in my research statement. [link]
Teaching
- 2021 CS701 - Deep Learning and Vision (PG)
- 2020-2021 CS470 - UResearch Projects (UG)
- 2019-2021 IS111 - Introduction to Programming (UG)
- 2020 IS112 - Data Management (UG)
Service
- Pattern Recognition, Associate Editor
- AAAI'22, Meta-Reviewer; CVPR'22, Area Chair
- Causality in Vision @CVPR'21'22, Organization Committee
- ACM MM'21 (Chengdu), Organization Committee (Proceeding Co-Chair)
- ACM MM Asia'20 (Singapore), Organization Committee (Program Co-Chair)
- ICML'21, ICLR'21-, NeurIPS'20-, ECCV'20, IJCAI'20-, AAAI'20-, CVPR'18-, ICCV'17-, Reviewer
- IEEE Trans on PAMI/TMM/TCSVT/TIP/NNLS, IJCV, PR, PR Letters, Reviewer
- Lise Meitner Award (MPII) 2018, Organization Committee
PhD Students
- Aug 2021 - Zilin Luo, Singapore Management University
- Jun 2021 - May 2022 Xin Zhao, Jilin University (Visiting)
- Jan 2021 - Qing Wang, Singapore Management University (with Prof. Chong-Wah Ngo)
- Jan 2020 - Zhaozheng Chen, Singapore Management University
- Sep 2019 - Sicheng Yu, Singapore Management University (with Prof. Jing Jiang)
- Jun 2018 - Yaoyao Liu, MPI for Informatics (with Prof.Dr. Bernt Schiele)
Master Students
- Jan 2022 - Jun 2022 LOH Yi Lin, Singapore Management University
- Jan 2020 - Dec 2021 Chunhui Bao, Singapore Management University
Research Fellows/Assistants
- Jan 2022 - May 2022 AW Khai Loong, Singapore Management University
- Nov 2021 - Oct 2022 Fengyun Wang, Nanjing University of Science and Technology
- Aug 2021 - Dec 2021 Harshit Jain, Singapore Management University
- Mar 2021 - Dr. Xiongwei Wu, Singapore Management University (with Prof. Ee-Peng Lim)
- Aug 2020 - Mar 2021 Ying Liu, Singapore Management University
- Aug 2020 - Dec 2020 Muhammad Naufal, Singapore Management University
- Nov 2019 - May 2021 Wei Qin, Hefei University of Technology
- Jan 2020 - Dec 2020 Xin Fu, Beijing Jiaotong University
Awards and Funding
- Oct 2021, Outstanding Reviewer (NeurIPS 2021)
- Aug 2021, Alibaba Innovative Research Grant (Alibaba Group)
- Jul 2021, Lee Kong Chian Fellowship (SMU)
- Mar 2021, Outstanding Reviewer (ICLR 2021)
- Nov 2020, Young Independent Research Grant (A*STAR)
- Feb 2020, Alibaba Innovative Research Grant (Alibaba Group)
- Mar 2016, Lise-Meitner Award for Excellent Women in Computer Science (MPI for Informatics)
Selected Talks
- Jul 2020, CSIAM Big Data & AI Forum. "Learning to Learn" [slides]
- 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]
Selected Publications
2022
2021
A Large-Scale Benchmark for Food Image Segmentation
Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C.H. Hoi, Qianru Sun
The 29th ACM International Conference on Multimedia, ACM MM '21. (Main Track)
[paper]
[dataset/code]
[challenge]
COSY: COunterfactual SYntax for Cross-Lingual Understanding
Sicheng Yu, Hao Zhang, Yulei Niu, Qianru Sun, Jing Jiang
The 59th Annual Meeting of the Association for Computational Linguistics, ACL '21. (Long Paper)
[paper]
Learning to teach and learn for semi-supervised few-shot image classification
Xinzhe Li, Jianqiang Huang, Yaoyao Liu, Shibao Zheng, Bernt Schiele, Qianru Sun
Computer Vision and Image Understanding (CVIU), Vol 212, Nov 2021.
[paper]
Mixed Dish Recognition with Contextual Relation and Domain Alignment
Lixi Deng, Jingjing Chen, Chong-Wah Ngo, Qianru Sun, Sheng Tang, Yongdong Zhang, Tat-Seng Chua
IEEE Transactions on Multimedia, 2021.
[paper]
2020
Meta-Transfer Learning through Hard Tasks
Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele
IEEE Transactions on Pattern Analysis and Machine Intelligence, 21 Aug 2020.
doi:10.1109/TPAMI.2020.3018506
[paper]
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]