16.

Mingqi Gao, Feng Zheng, James Yu, Caifeng Shan, Guiguang Ding, Jungong Han. ''Deep learning for video object segmentation: a review''. Artificial Intelligence Review, 2022. [project page]

15.

Mingqi Gao, Jungong Han, Feng Zheng, James Yu, Giovanni Montana. ''Video object segmentation using point-based memory network''. Pattern Recognition, 2022.

14.

Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Yi Wang, Kaiyi Peng. ''Automatic liver tumour segmentation in CT combining FCN and NMF-based deformable model''. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2019.

13.

Wei Yu, Bin Fang, Yongqing Liu, Mingqi Gao, Shenhai Zheng, Yi Wang. ''Liver vessels segmentation based on 3D residual U-Net''. The 26th IEEE Conference on Image Processing (ICIP) 2019.

12.

Congcong Liu, Hengxin Chen, Mingqi Gao. ''A context-aware map matching method based on supported degree''. The 5th IEEE Smart World Congress (SmartWorld) 2019.

11.

Mingqi Gao, Hengxin Chen, Shenhai Zheng, Bin Fang. ''Feature fusion and non-negative matrix factorization based active contours for texture segmentation''. Signal Processing, 2019.

10.

Jie Zhang, Hengxin Chen, Jiahui Wang, Mingqi Gao. ''Experience the dougong construction in virtual reality''. The 24th ACM Symposium on Virtual Reality Software and Technology (VRST), 2018.

9.

Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Yi Wang, Kaiyi Peng. ''B-Spline based globally optimal segmentation combining low-level and high-level information''. Pattern Recognition, 2018.

8.

Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Yi Wang. ''A variational approach to liver segmentation using statistics from multiple sources''. Physics in Medicine and Biology (PMB), 2018.

7.

Hengxin Chen, Mingqi Gao, Karl Ricanek, Weiliang Xu, Bin Fang. ''A Novel Race Classification Method Based on Periocular Features Fusion''. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 2017.

6.

Hengxin Chen, Mingqi Gao, Bin Fang. ''An improved active shape model method for facial landmarking based on relative position feature''. International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP), 2017.

5.

Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Yi Wang, Kaiyi Peng. ''Automatic Liver Lesion Segmentation in CT Combining Fully Convolutional Networks and Non-negative Matrix Factorization''. MICCAI workshop (Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound), 2017.

4.

Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Hongsuo Zhang, Hengxin Chen, Yi Wang. ''A novel variational method for liver segmentation based on statistical shape model prior and enforced local statistical feature''. The 14th IEEE International Symposium on Biomedical Imaging (ISBI), 2017.

3.

Mingqi Gao, Hengxin Chen, Shenhai Zheng, Bin Fang, Lin Zhang. ''Texture image segmentation using fused features and active contour''. The 23rd IEEE International Conference on Pattern Recognition (ICPR), 2016.

2.

Shenhai Zheng, Bin Fang, Patrick SP Wang, Laquan Li, Mingqi Gao. ''Multi-scale B-spline level set segmentation based on Gaussian kernel equalization''. The 23rd IEEE International Conference on Image Processing (ICIP), 2016.

1.

Mingqi Gao, Hengxin Chen, Shenhai Zheng, Bin Fang. ''A factorization based active contour model for texture segmentation''. The 23rd IEEE International Conference on Image Processing (ICIP), 2016. [project page], [code]