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
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
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
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
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
MSR-CNN: Applying motion salient region based descriptors for action recognition
Z Tu, J Cao, Y Li, B Li
2016 23rd International Conference on Pattern Recognition (ICPR), 3524-3529, 2016
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