Zhigang Tu (涂志刚)
Zhigang Tu (涂志刚)
Professor in Wuhan University, LIEMARS, China
Verified email at - Homepage
Cited by
Cited by
Multi-Stream CNN: Learning Representations Based on Human-Related Regions for Action Recognition
JY Zhigang Tu, Wei Xie, Qianqing Qin, Ronald Poppe, RC Veltkamp, Baoxin Li
Pattern Recognition 79, 32-43, 2018
Clustering Driven Deep Autoencoder for Video Anomaly Detection
Y Chang, Z Tu*, W Xie, J Yuan
European Conference on Computer Vision (ECCV), 2020
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
J Zhang, Z Tu*, J Yang, Y Chen, J Yuan
IEEE International Conf. Computer Vision and Pattern Recognition (CVPR), 2022
A survey of variational and CNN-based optical flow techniques
Z Tu, W Xie, D Zhang, R Poppe, RC Veltkamp, B Li, J Yuan
Signal Processing: Image Communication 72, 9-24, 2019
Action-stage emphasized spatiotemporal VLAD for video action recognition
Z Tu, H Li, D Zhang, J Dauwels, B Li, J Yuan
IEEE Transactions on Image Processing 28 (6), 2799-2812, 2019
A water quality prediction method based on the deep LSTM network considering correlation in smart mariculture
Z Hu, Y Zhang, Y Zhao, M Xie, J Zhong, Z Tu, J Liu
Sensors 19 (6), 1420, 2019
Video anomaly detection with spatio-temporal dissociation
Y Chang, Z Tu*, W Xie, B Luo, S Zhang, H Sui, J Yuan
Pattern Recognition 122, 108213, 2022
Semantic Cues Enhanced Multi-modality Multi-Stream CNN for Action Recognition
Z Tu, W Xie, J Dauwels, B Li, J Yuan
IEEE Transactions on Circuits and Systems for Video Technology 29 (5), 1423-1437, 2019
So-handnet: Self-organizing network for 3d hand pose estimation with semi-supervised learning
Y Chen, Z Tu*, L Ge, D Zhang, R Chen, J Yuan
IEEE/CVF International Conference on Computer Vision(ICCV), 6961-6970, 2019
Model-based 3D Hand Reconstruction via Self-Supervised Learning
JY Y Chen, Z Tu*, D Kang, L Bao, Y Zhang, X Zhe, R Chen
IEEE/CVF Conf. Computer Vision and Pattern Recognition(CVPR), 10451-10460, 2021
A spatial attentive and temporal dilated (SATD) GCN for skeleton-based action recognition
J Zhang, G Ye, Z Tu*, Y Qin, J Zhang, X Liu
CAAI Transactions on Intelligence Technology 7 (1), 46-55, 2021
Learning motion representation for real-time spatio-temporal action localization
D Zhang, L He, Z Tu*, S Zhang, F Han, B Yang
Pattern Recognition 103, 107312, 2020
Joint-bone fusion graph convolutional network for semi-supervised skeleton action recognition
Z Tu, J Zhang, H Li, Y Chen, J Yuan
IEEE Transactions on Multimedia 25, 1819-1831, 2023
Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion
JY Y Chen, Z Tu*, D Kang, R Chen, L Bao, Z Zhang
IEEE Transactions on Image Processing (TIP) 30, 4008-4021, 2021
Fusing disparate object signatures for salient object detection in video
Z Tu, Z Guo, W Xie, M Yan, RC Veltkamp, B Li, J Yuan
Pattern Recognition 72, 285-299, 2017
A combined post-filtering method to improve accuracy of variational optical flow estimation
RCV Zhigang Tu, Nico van der Aa, Coert Van Gemeren
Pattern Recognition 47 (5), 1926–1940, 2014
Unsupervised Learning of Optical Flow with CNN-based Non-Local Filtering
L Tian, Z Tu*, D Zhang, J Liu, B Li, J Yuan
IEEE Transactions on Image Processing (TIP) 29, 8429-8442, 2020
Motion-driven Visual Tempo Learning for Video-based Action Recognition
Y Liu, J Yuan, Z Tu*
IEEE Transactions on Image Processing 31, 4104 - 4116, 2022
Pointwise geometric and semantic learning network on 3D point clouds
D Zhang, F He, Z Tu, L Zou, Y Chen
Integrated Computer-Aided Engineering 27 (1), 57-75, 2020
Variational method for joint optical flow estimation and edge-aware image restoration
Z Tu, W Xie, J Cao, C Van Gemeren, R Poppe, RC Veltkamp
Pattern Recognition 65, 11-25, 2017
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