Zhigang Tu (涂志刚)
Zhigang Tu (涂志刚)
Wuhan University, LIEMARS, China
Verified email at whu.edu.cn - 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
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
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
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
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
Weighted Local Intensity Fusion Method for Variational Optical Flow Estimation
RCV Zhigang Tu, Ronald Poppe
Pattern Recognition 50, 223–232, 2016
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
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
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
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
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Adaptive guided image filter for warping in variational optical flow computation
Z Tu, R Poppe, RC Veltkamp
Signal Processing 127, 253-265, 2016
Weighted root mean square approach to select the optimal smoothness parameter of the variational optical flow algorithms
QQ Zhigang Tu, Wei Xie, Wolfgang Hürst, Shufen Xiong
Optical Engineering 51 (3), 037202, doi:10.111, 2012
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
Part-based visual tracking with spatially regularized correlation filters
D Zhang, Z Zhang, L Zou, Z Xie, F He, Y Wu, Z Tu
The Visual Computer 36 (3), 509-527, 2020
Learning to predict pedestrian intention via variational tracking networks
M Hoy, Z Tu, K Dang, J Dauwels
2018 21st International Conference on Intelligent Transportation Systems …, 2018
Guided image filtering-based pan-sharpening method: A case study of GaoFen-2 imagery
Y Zheng, Q Dai, Z Tu, L Wang
ISPRS International Journal of Geo-Information 6 (12), 404, 2017
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
Actor-Action Semantic Segmentation with Region Masks
K Dang, C Zhou, Z Tu, M Hoy, J Dauwels, J Yuan
The British Machine Vision Conference (BMVC) 260, 1-12, 2018
Estimating accurate optical flow in the presence of motion blur
Z Tu, R Poppe, R Veltkamp
Journal of Electronic Imaging 24 (5), 053018, 2015
Salience guided depth calibration for perceptually optimized compressive light field 3d display
S Wang, W Liao, P Surman, Z Tu, Y Zheng, J Yuan
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2031-2040, 2018
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