Xiu-Shen WEI (魏秀参)
About Me
From Jun. 2020, I am a Professor at Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, NJUST.
Call for Tutorials
Updates
Jun. 6, 2022: Two papers accepted by SCIENCE CHINA Information Sciences (中国科学:信息科学).
Apr. 21, 2022: One paper about webly-supervised fine-grained recognition accepted by IJCAI 2022.
Mar. 10, 2022: One paper about automatic check-out accepted by IEEE TIP.
Mar. 2, 2022: One paper about long-tailed instance segmentation accepted by CVPR 2022.
Dec. 1, 2021: One paper about few-shot fine-grained recognition accepted by AAAI 2022.
Oct. 28, 2021: Our survey paper of Fine-Grained Image Analysis with Deep Learning was accepted by IEEE TPAMI.
Sept. 29, 2021: One paper accepted for Spotlight presentation by NeurIPS 2021.
Apr. 28, 2020: We release a PyTorch-based library for unsupervised image retrieval by deep CNNs on GitHub!
Jul. 6, 2019: Opened the “Awesome Fine-Grained Image Analysis – Papers, Codes and Datasets” homepage.
Nov. 1, 2018: Published a Chinese book on convolutional neural networks and computer vision.
Research Interests
My research interests include some sub-fields of Computer Vision and Machine Learning:
Fine-Grained Image Analysis (FGIA) is a hot topic in computer vision and pattern recognition. The goals of FGIA are localizing the fine-grained objects, recognizing the objects’ subordinate categories, retrieving the fine-grained objects and so on.
Long-Tailed Distribution Learning (LTDL) deals with real-world datasets displaying skewed distributions with a long tail, i.e., a few classes (a.k.a. head classes) occupy most of the data, while most classes (a.k.a. tail classes) have rarely few samples.
Weakly Supervised Learning (WSL), especially Multi-Instance Learning (MIL), is a variation on supervised learning. Instead of receiving a set of instances which are individually labeled, the learner receives a set of labeled bags, each containing many instances.
Selected Publications
My papers are available for download in this Publications page, and here is my Google Scholar Citations profile.
Professional Activities (Selected)
Young Scientists Committee
Program Chair / Co-Chair
Tutorial Chair
Workshop Chair
Publicity Chair
Guest Editor
Area Chair / Senior PC
Program Committee Member
CVPR 2017, 2018, 2019, 2020, 2021, 2022
ICCV 2017, 2019, 2021
ECCV 2018, 2022
NeurIPS 2016, 2018, 2020, 2021, 2022
IJCAI 2018, 2019, 2020
AAAI 2016, 2017, 2018, 2019, 2020, 2021
ICLR 2021, 2022
ICML 2022
ACCV 2018, 2020
BMVC 2019, 2020, 2021
WACV 2021
PRCV 2019, 2020, 2021
…
Journal Reviewer
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
International Journal of Computer Vision (IJCV)
IEEE Transactions on Image Processing (TIP)
Springer Journal of Machine Learning (MLJ)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Multimedia (TMM)
Elsevier Journal of Neural Networks (NN)
Elsevier Journal of Pattern Recognition (PR)
SCIENCE CHINA Information Sciences (中国科学:信息科学)
自动化学报
软件学报
电子学报
中国图象图形学报
…
Correspondence
Mail
Xiu-Shen WEI
School of Computer Science and Engineering
Nanjing University of Science and Technology
Nanjing 210094, China
Office
Rm 4063-1, Building of Computer Science and Engineering, Xiaolingwei 200, Nanjing 210094, China
Tel
+86-025-8431-5017 (Ext Number: 8230/ 分机号: 8230)
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