论文

Under Review Papers

1. Linchao He, Zhigang Tu*, Dejun Zhang, and Junsong Yuan. Learning Motion Representation for Real-Time Spatio-Temporal Action Localization. Submitted to ICCV, March 2019.

2. Long Tian, Dejun Zhang, Zhigang Tu, and Junsong Yuan. Unsupervised Learning of Optical Flow With CNN-based Non-Local Filtering. Submitted to IEEE Transactions on Image Processing (TIP), April 2019.

已发表的部分论文

1. Yujing Chen, Zhigang Tu*, Liuhao Ge, Dejun Zhang, Ruizhi Chen, and Junsong Yuan. SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation with Semi-supervised Learning. ICCV, 2019 (CCF A类, AI & CV Top Conference).PDF

2. Zhigang Tu, Hongyan Li*, Dejun Zhang, Justin Dauwels, Baoxin Li, and Junsong Yuan. Action-Stage Emphasized Spatio-Temporal VLAD for Video Action Recognition. IEEE Transactions on Image Processing (T-IP), 28(6): 2799–2812, 2019. (IF=6.79).PDF

3. Zhigang Tu, Wei Xie, Dejun Zhang, Ronald Poppe, Remco C. Veltkamp, Baoxin Li, and Junsong Yuan. A survey of variational and CNN-based optical flow techniques. Signal Processing: Image Communication, vol.72, pp.9–24, March 2019. (综述，热点论文，IF=2.814).PDF

4. Zhigang Tu*, Wei Xie, Justin Dauwels, Baoxin Li, and Junsong Yuan. Semantic Cues Enhanced Multi-modality Multi-Stream CNN for Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 29(5): 1423–1437, 2019. (IF=4.046）PDF

5. Zhigang Tu, Wei Xie, Qianqing Qin, Remco C. Veltkamp, Baoxin Li, and Junsong Yuan. Multi-Stream CNN: Learning Representations Based on Human-Related Regions for Action Recognition. Pattern Recognition, vol.79, pp.32–43, 2018. (IF=5.898). PDF

6. Shizheng Wang, Wenjuan Liao, Zhigang Tu, Yuanjin Zheng, and Junsong Yuan. Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display. In Proc. Comput. Vis. Pattern Recogn. (CVPR), 2018. (CCF A区). PDF

7. Zhigang Tu, Zuwei Guo, Wei Xie, Mengjia Yan, Remco. C. Veltkamp, Baoxin Li, and Junsong Yuan. Fusing disparate object signatures for salient object detection in video. Pattern Recognition, vol.72, pp.285–299, 2017.(IF=5.898) PDF

8.Zhigang Tu, Wei Xie, C. Gemeren, and Remco C. Veltkamp. Variational Method for Joint Optical Flow Estimation and Edge-aware Image Restoration. Pattern Recognition, vol.65, pp.11–25, 2017.(IF=5.898) PDF

9. Zhigang Tu, Ronald Poppe, and Remco C. Veltkamp. Weighted Local Intensity Fusion Method for Variational Optical Flow Estimation. Pattern Recognition, vol.50, pp.223–232, 2016.(IF=5.898) PDF

10. Zhigang Tu, Nico. Aa, C. Gemeren, and Remco C. Veltkamp. A combined post-filtering method to improve accuracy of variational optical flow estimation. Pattern Recognition, vol.47, no.5, pp.1926–1940, 2014. (IF=5.898) PDF

11.Zhigang Tu, Ronald Poppe, and Remco C. Veltkamp. Adaptive Guided Image Filter for Warping in Variational Optical Flow. Signal Processing, vol.127, pp.253–265, 2016.(IF=4.086) PDF

12.Zhigang Tu, Yikang Li, Jun Cao, and Baoxin Li. MSR-CNN: Applying Motion Salient Region Based Descriptors for Action Recognition. In Proc. Int. Conf. Pattern Recogn. (ICPR), pp. 3524–3529, 2016. (CCF C区). PDF

13.Zhigang Tu, Coert Van Gemeren, and Remco C. Veltkamp. Improved color patch similarity measure based weighted median filter. In Proc. Asian Conf. Comput. Vis. (ACCV), vol.9007, pp.413–427, 2015. (CCF C区). PDF

14.Zhigang Tu, Ronald Poppe, and Remco C. Veltkamp. Estimating Accurate Optical Flow in the Presence of Motion Blur. Journal of Electronic Imaging, vol.24, no.5, 053018, 2015. PDF

15.Zhigang Tu, Wei Xie, Wolfgang Hürst, and Qianqing Qin. Weighted root mean square approach to select the optimal smoothness parameter of the variational optical flow algorithms. Optical Engineering, vol.51, no.3, 037202, 2012. PDF

16. Kang Dang, Chunluan Zhou, Zhigang Tu, Justin Dauwels, and Junsong Yuan. Actor-Action Semantic Segmentation with Region Masks. In Proc. The British Machine Vis. Conf. (BMVC), 2018. PDF

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