Guangwei Gao (高广谓)


Welcome to the Intelligent Visual Information Perception Laboratory (IVIPLab) !


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Guangwei Gao

Associate Professor
Institute of Advanced Technology
Nanjing University of posts and Telecommunications
No.9, Wenyuan Road, Xianlin, Nanjing, China, 210046

E-mail: csggao@gmail.com (commonly used) & csgwgao@njupt.edu.cn
[Personal Github] [IVIPLab Github] [Google Scholar] [DBLP]


Research Topics

    My research interests lie in machine learning, pattern recognition, and learning-based vision problems. Particularly, I'm interested in heterogeneous face image analysis (recognition, super-resolution), lightweight deep neural network design (used for semantic segmentation, super-resolution), analysis and processing of cross-modality visual data.


Education

  • 09/2005-07/2009, School of Math and Computer Science and Engineering, Nanjing Normal University, B.S. in Information and Computation Science

  • 09/2009-06/2014, School of Computer Science and Engineering, Nanjing University of Science and Technology, Ph.D. in Pattern Recognition and Intelligence Systems, supervised by Prof. Jian Yang

  • 03/2011-09/2011, 02/2013-08/2013, Visiting Student, Depatment of Computing, The Hong Kong Polytechnic University, supervised by Prof. Lei Zhang


Research Experience

  • 11/2014- 11/2016, Postdoctoral Researcher, Nanjing University of Posts and Telecommunications

  • 07/2014-06/2017, Assistant Professor, Institute of Advanced Technology, Nanjing University of Posts and Telecommunications

  • 07/2017-present, Associate Professor, Institute of Advanced Technology, Nanjing University of Posts and Telecommunications

  • 04/2019-03/2021, Project Researcher, National Institute of Informatics, Tokyo, Japan


Recent News

  • [06/2022] I was elevated to the grade of IEEE Senior Member

  • [06/2022] I was invited to be a PC Member for BigMM 2022

  • [05/2022] Our paper "Cross-Resolution Person Re-Identification via Deep Group-Aware Representation Learning" was accepted by ICPR'22 (CCF C)

  • [05/2022] CFP for Special Session "Image Processing and Analysis for Object Detection" at the Journal of Sensors, Deadline: October 1, 2022

  • [04/2022] CFP for Special Session "Visual Transformer for Image/Video Understanding (VSI-vti)" at the Journal of Computers & Electrical Engineering, Deadline: July 1, 2022

  • [04/2022] I was invited to be a PC Member for CCBR 2022

  • [04/2022] Our paper "Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer" was accepted by IJCAI'22 (CCF A), with the acceptance rate to be 15%

  • [04/2022] One co-authored paper "Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation" was accepted by NTIRE at CVPR'22

  • [03/2022] Our paper "FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation" was accepted by IEEE Transactions on Multimedia (TMM) (CCF B)

  • [01/2022] Our paper "Leaning Compact and Representative Features for Cross-Modality Person Re-Identification" was accepted by World Wide Web (WWW) (CCF B)

  • [12/2021] Our paper "Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution" was accepted by AAAI'22 (CCF A)

  • [08/2021] One corresponding authored paper "JSPNet: Learning Joint Semantic & Instance Segmentation of Point Clouds via Feature Self-similarity and Cross-task Probability" was accepted by Pattern Recognition (CCF B)

  • [07/2021] Our paper "MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation" was accepted by IEEE Transactions on Intelligent Transportation Systems (CCF B)

  • [03/2021] Our paper "Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network" was accepted by ICME'21 (CCF B)

  • [02/2021] One co-authored paper "Graph regularized Bayesian tensor factorization based on Kronecker-Decomposable dictionary" was accepted by Computers and Electrical Engineering

  • [01/2021] One co-authored paper "Short-term load forecasting based on improved GEP and abnormal load recognition" was accepted by ACM Transactions on Internet Technology (CCF B)

  • [11/2020] Our paper "Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition" was accepted by IEEE Transactions on Circuits and Systems for Video Technology (CCF B)

  • [10/2020] Our special session titled "Advanced Representation Learning for Robust Multimedia Image Understanding" got accepted at ICME 2021, with Prof. Junjun Jiang, Prof. Licheng Liu, Prof. Tao Lu, and Prof. Jingang Shi

  • [09/2020] One co-authored paper "Adaptive Deformable Convolutional Network" was accepted by Neurocomputing

  • [09/2020] One co-authored paper "Chinese Image Captioning via Fuzzy Attention-based DenseNet-BiLSTM" was accepted by ACM Transaction on Multimedia Computing Communication and Applications (CCF B)

  • [08/2020] Our paper "Robust Facial Image Super-Resolution by Kernel Locality-Constrained Coupled-Layer Regression" was accepted by ACM Transactions on Internet Technology (CCF B)

  • [08/2020] Our paper "Cross-resolution face recognition with pose variations via multilayer locality-constrained structural orthogonal procrustes regression" was accepted by Information Sciences (CCF B)

  • [07/2020] Our paper "Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution" was accepted by Pattern Recognition (CCF B)

  • [02/2020] Our paper "Multi-scale patch based representation feature learning for low-resolution face recognition" was accepted by Applied Soft Computing


Collaborators

Prof. Jian Yang       Prof. Guo-Jun Qi       Prof. Yi Yu       Prof. Meng Yang       Prof. Huimin Lu       Prof. Jiantao Zhou       Dr. Juncheng Li      


Sponsors

NSFC JSED kxjst


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