News


Mar. 2022
One paper accepted by CVPR'22. And I will be the official reviewer in ECCV-22 and NeurIPS-22.

Jan. 2022
I will be the official reviewer in ICML-22.

Sept. 2021
I will be the official reviewer in AAAI-22 and CVPR-22.

July. 2021
One full paper is accepted by MM'21, on food image segmentation.

July. 2021
I will be the official reviewer in Neurips-21 and ICLR-22 .

April. 2021
One dataset is released in Project, on food image segmentation .

Jan. 2021
One full paper is accepted by ICLR'21, on object detection .

July. 2020
One full paper is accepted by MM'20, on few-shot detection .

March. 2020
One survey paper is accepted by neurocomputing, on object detection .

March. 2020
One full paper is accepted by neurocomputing, on object detection .

Jan. 2020
One full paper is accepted by neurocomputing, on face detection .

Xiongwei Wu 

Research fellow

Living Analytics Research Centre
School of Computing and Information Systems
Singapore Management University

80 Stamford Road, Singapore, 178902

Email: xwwu AT smu.edu.sg

Github

Google Scholar

I am a Posdoc Research Fellow in School of Computing and Information Systems, Singapore Management University. I have several publications appeared in top conferences such as ICLR, MM, CVPR and KDD. My research interests include object detection, face detection and semantic segmentation. I have served as the PC member for top-tier conferences including ICLR, NeuriPS, ICML, CVPR, ECCV and the invited reviewer for prestigious journals such as TIST and PR. I obtained my B.A from Zhejiang University and Ph.D from Singapore Management University.

Notes: I am currently fully funded by SCIS-SMU and I am looking for potential cooperation opportunities in vision and language related fields.

Selected Publications



pdf
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Zhaozheng Chen, Tan Wang, Xiongwei Wu, Xian-Sheng Hua, Hanwang Zhang, Qianru Sun.
CVPR'2022   

pdf
A Large-Scale Benchmark for Food Image Segmentation
Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C.H. Hoi, Qianru Sun
MM'2021, Project  

pdf
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
Xiongwei Wu, Doyen Sahoo, Steven C.H. HOI
ICLR'2021   

pdf
Meta-RCNN: Meta Learning for Few-Shot Object Detection
Xiongwei Wu, Doyen Sahoo, Steven C.H. HOI
MM'2020 (extension version)  

pdf
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu, Doyen Sahoo, Steven C.H. HOI
Neurocomputing (250+ citation)   

pdf
Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection
Xiongwei Wu, Doyen Sahoo, Daoxin Zhang, Jianke Zhu, Steven C.H. HOI
Neurocomputing   

pdf
Feature Agglomeration Networks for Single Stage Face Detection
Jialiang Zhang*, Xiongwei Wu*, Jianke Zhu, Steven C.H. HOI (* denotes equal contribution)
Neurocomputing   

pdf
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging
Doyen Sahoo, Wang Hao, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
KDD'2019   

Professional Services

PC/SPC Member of Conferences:
2021: NeurIPS
2022: ICLR, AAAI, CVPR, ICML, ECCV, ACMMM, NeurIPS
Invited Reviewer for Neurocomputing, Pattern Recognition, TIST, TOMM and NCAA

Teaching Experiences

2017 - TA for IS424 Data Mining and Business Analytics (SMU)
2018 - TA for IS424 Data Mining and Business Analytics (SMU)
2021 - Guest Lecture on CS701 Deep Learning and Vision on“Deep Learning for Object Detection”(SMU)

Research Experiences

SCIS, SMU
Postdoc Research Fellow                   Apr. 2022 - Present, Singapore
Topic: Open-Vocabulary Object Detection
Advisor: Prof. Lim Ee-Peng
Living Analytics Research Centre (LARC)
Postdoc Research Fellow                   Mar. 2021 - Mar. 2022 Singapore
Topic: Food-related research probelm, e.g., recognition and semantic segmentation.
Advisor: Prof. Lim Ee-Peng
Institute of Data Science and Technologies, Alibaba Inc. (IDST)
Algorithm Engineer                           May 2015 - Aug. 2015, China
Topic: Logo detection based on deep learning methods.
Advisor: Prof. Jin Rong

Education

Singapore Management University (SMU)
Ph.D. in Computer Science                   Aug. 2015 - Jul. 2020, Singapore
Advisor: Prof. Steven C.H. Hoi

Zhejiang University (ZJU)
B.A. in Computer Science                    Aug. 2011 - Jun. 2015, China
Advisor: Prof. Jianke Zhu

Last update: Feb. 14, 2022. Webpage template borrows from Jiawei Chen.