Study
Study
Xu Xuemiao
Title
Professor, Doctoral & Graduate Supervisor, School of future technology
E-mail
hannan@scut.edu.cn
Honor
Key Laboratory of Subtropical Architecture Science - Research Direction of Smart City in the Greater Bay Area, Joint Laboratory of Big Data and Intelligent Robotics in Guangdong Province and Hong Kong, Macao and Taiwan, and Key Laboratory of Computational Intelligence and Cyber Space Information of Guangdong Province. Key committee member of multiple specialized committees of the China Computer Society, such as Computer Vision, Image and Graphics, Multimedia Intelligence, and Graphics and Geometry.
Admission Programs/Majors
MEng: 1) Electronic Information
MS：1)Intelligent Science and Technology
Ph.D: 1) Electronic Information; 2) Intelligent Science and Technology;
Personal Profile
Dr. Xu Xuemiao is currently a professor and doctoral supervisor at South China University of Technology, and the vice dean of Junde College at the Guangzhou International Campus of South China University of Technology. Key scientific researchers from the State Key Laboratory of Subtropical Architecture Science - Research Direction of Smart Cities in the Greater Bay Area, the Guangdong-Hong Kong-Macao Joint Laboratory of Big Data and Robot Intelligence of the Ministry of Education, and the Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information. Member of multiple special committees of the Computer Vision Society of the China Computer Federation, the Multimedia Intelligence Society of the Image and Graphics Society, and the Graphics Big Data Society of the Graphics Society.
Professor Xu has published over 60 papers in international important journals and conferences in fields such as artificial intelligence, vision, and graphics in recent years. Among them, there are 42 SCI papers, 1 ESI highly cited paper, 18 SCI Zone 1 papers, and 9 papers in top conferences. He has applied for 20 invention patents and obtained 9 of them. He has presided over two projects funded by the National Natural Science Foundation of China and six major projects of Guangdong Province. The industrial output value has exceeded 800 million yuan. He has won one second prize of the Guangdong Provincial Science and Technology Progress Award in 2021 (as the first contributor) and one second prize of the Science and Technology Award of the China Highway Society. Led the postgraduate team to participate in the 'Digital Human Body' AI Challenge and Visual Challenge hosted by Alibaba Cloud and won two national championships. Also won the national championship in the 'Digital China Innovation Competition' - Intelligent Inventory, and the third place in the 'National Artificial Intelligence Competition' (Pedestrian Re-identification).'
Research Interests
Artificial intelligence visual technology, graphic and image processing, machine learning, and their applications in intelligent transportation, intelligent life, intelligent manufacturing and other fields
Representative Research Achievements
Jingjing Ren, QingqingZheng, Yuanyuan Zhao, Xuemiao Xu*, Chen Li, DLFormer:Discrete Latent Transformer for Video Inpainting, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Accepted, 2022.
Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu*, Yangyang Xu, Weiming Wang, Zijun Deng, and Pheng-Ann Heng, Deep Texture-aware Features for Camouflaged Object Detection IEEE Transactions on Circuits and Systems for Video( TCSVT),2021.
Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu*and Shengfeng He*, From Continuity to Editability: Inverting GANs with Consecutive Images, IEEE International Conference on Computer Vision (ICCV), 2021.
Yangyang Xu, Xuemiao Xu*, Jianbo Jiao, Keke Li, Cheng Xu and Shengfeng He*, Multi-view Face Synthesis via Progressive Face Flow, IEEE Transaction on Image Processing(TIP), 2021.
Chao Ye, Huaidong Zhang，Xuemiao Xu*，Weiwei Cai, Jing Qin, Kup-Sze Choi, Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency, International Joint Conference on Artificial Intelligence (IJCAI),2021
Xudong Yan, Huaidong Zhang, Xuemiao Xu*, Xiaowei Hu, Pheng-Ann Heng, Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection, Conference on Artificial Intelligence (AAAI), 2021
Lei Zhu, Zijun Deng, Xiaowei Hu, Haoran Xie, Xuemiao Xu*, Jing Qin, and Pheng-Ann Heng, Learning Gated Non-local Residual for Single-image Rain Streak Removal. IEEE Transactions on Circuits and Systems for Video Technology（TCSVT）. 2020.
Yangyang Xu, Xuemiao Xu*, Chu Han, Guoqiang Han, and Shengfeng He, Transductive Zero-shot Action Recognition via Visually-connected Graph Convolutional Networks, IEEE Transactions on Neural Networks and Learning Systems(TNNLS),2020.
Xuemiao Xu, Jiaxing Chen, Huaidong Zhang, Wing W. Y. Ng, D4Net: De-Deformation Defect Detection Network for Non-Rigid Products with Large Patterns, Information Science, 2020.
Xu, Xuemiao; Yu, Tianfei; Hu, Xiaowei; Ng, Wing; Heng, Pheng-Ann, SALMNet: A Structure-Aware Lane Marking Detection Network, IEEE Intelligent Transportation Systems Transactions(TITS), 2020
Xuemiao Xu, Hai He, Huaidong Zhang, Yangyang Xu, and Shengfeng He. Unsupervised Domain Adaptation via Importance Sampling. IEEE Transactions on Circuits and Systems for Video Technology（TCSVT）. 2020.
Zhang, Huaidong, Xu, Xuemiao*, Han, Guoqiang, and He, Shengfeng. Context-aware and Scale-insensitive Temporal Repetition Counting , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Xuemiao Xu, Keke Li, Cheng Xu, and Shengfeng He*, GDFace: Gated Deformation for Multi-view Face Image Synthesis, Conference on Artificial Intelligence (AAAI), 2020
Huaidong Zhang, Xuemiao Xu *, Hai He, Le Zhou, Shengfeng He, Guoqiang Han, Jing Qin, DapengWu. Fast User-Guided Single Image Reflection Removal via Edge-aware Cascaded Networks. IEEE Transactions on Multimedia（TMM）, 2019
Zijun Deng, Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu*, Qing Zhang, Jing Qin, and Pheng-Ann Heng，Deep Multi-Model Fusion for Single-Image Dehazing，International Conference on Computer Vision (ICCV), 2019.
Lei Zhu, Jiaxing Chen, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu*, Jing Qin, and Pheng-Ann Heng，Aggregating Attentional Dilated Features for Salient Object Detection，IEEE Transactions on Circuits and Systems for Video Technology（TCSVT）, 2019
Xuemiao Xu, Minshan Xie, Peiqi Miao, Wei Qu, Wenpeng Xiao, Huaidong Zhang, Xueting Liu, and Tien-Tsin Wong, Perceptual-aware Sketch Simplification Based on Integrated VGG Layers, IEEE Transaction on Visualization and Computer Graphics (TVCG), 2019
Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu*, Jing Qin, Guoqiang Han, and Pheng-Ann Heng, R3Net: Recurrent Residual Refinement Network for Saliency Detection, International Joint Conference on Artificial Intelligence (IJCAI), 2018
Xiaowei Hu, Xuemiao Xu*, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, and Pheng-Ann Heng, SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection, IEEE Transactions on Intelligent Transportation Systems (TITS), 2018 (Highly Cited Paper)
Kin Chung Kwan, Xuemiao Xu*, Liang Wan, Tien-Tsin Wong, Wai-Man Pang. Packing Vertex Data into Hardware-Decompressible Textures, IEEE Transaction on Visualization and Computer Graphics (TVCG), 2018
LeiZhu, ZijunDeng, XiaoweiHu, Chi−WingFu, XuemiaoXu, JingQin, and Pheng−AnnHeng, “Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection,” European Conference on Computer Vision(ECCV), 2018
Xuemiao Xu, Linyuan Zhong, Minshan Xie, Xueting Liu, Jing Qin, and Tien-Tsin Wong，ASCII Art Synthesis from Natural Photographs, IEEE Transaction on Visualization and Computer Graphics (TVCG), 2017
Yulong Guo, Xiaopei Liu, Xuemiao Xu*, A Unified Detail-Preserving Liquid Simulation by Two-Phase Lattice Boltzmann Modeling. IEEE Transaction on Visualization and Computer Graphics (TVCG). 2017
Yulong Guo, Xiaopei Liu, Chi Xiong, Xuemiao Xu,.Chi-Wing Fu, Towards High-quality Visualization of Superfluid Vortices, IEEE Transaction on Visualization and Computer Graphics (TVCG), 2017
Contact
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