》  Research Fields

Computer Vision，Image/Video Processing

》  Courses

Human Computer Interaction, Computer Vision, Multimedia Technology

》  Projects

1. National Natural Science Foundation of China

2. Shanghai Leading Young Talents (Overseas)

3. Shanghai Pujiang Talent Program

》  Publications

• Paper

1. Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, and Sam Kwong, “Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network,” IEEE Transactions on Image Processing, vol. 29, pp.9140-9151, September 2020.

2. Zhangkai Ni, Kai-Kuang Ma, Huanqiang Zeng, and Baojiang Zhong, “Color Image Demosaicing Using Progressive Collaborative Representation,” IEEE Transactions on Image Processing, vol. 29, no. 1, pp.4952-4964, March 2020.

3. Zhangkai Ni, Huanqiang Zeng, Lin Ma, Junhui Hou, Jing Chen, and Kai-Kuang Ma, “A Gabor Feature-Based Quality Assessment Model for the Screen Content Images,” IEEE Transactions on Image Processing, vol. 27, no. 9, pp. 4516-4528, September 2018.

4. Zhangkai Ni, Lin Ma, Huanqiang Zeng, Jing Chen, Canhui Cai, and Kai-Kuang Ma, “ESIM: Edge Similarity for Screen Content Image Quality Assessment,” IEEE Transactions on Image Processing, vol. 26, no. 10, pp. 4818-4831, Oct. 2017.

5. Zhangkai Ni, Lin Ma, Huanqiang Zeng, Canhui Cai, and Kai-Kuang Ma, “Gradient Direction for Screen Content Image Quality Assessment,” IEEE Signal Processing Letters, vol. 23, no. 10, pp. 1394–1398, August 2016.

6. Zhangkai Ni, Wenhan Yang, Hanli Wang, Shiqi Wang, Lin Ma, and Sam Kwong, “Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement,” in Proceedings of the 30th ACM International Conference on Multimedia (ACM Multimedia), Accepted, October 2022.

7. Zhangkai Ni, Wenhan Yang, Lin Ma, Shiqi Wang, and Sam Kwong, “Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network,” in Proceedings of the 28th ACM International Conference on Multimedia (ACM Multimedia), pp. 1697-1705, October 2020.

8. Xuelin Shen, Zhangkai Ni, Wenhan Yang, Xinfeng Zhang, Shiqi Wang, and Sam Kwong, “Just Noticeable Distortion Profile Inference: A Patch-level Structural Visibility Learning Approach,” IEEE Transactions on Image Processing, vol. 30, pp.26-28, November 2020.

9. Yue Liu, Zhangkai Ni, Shiqi Wang, Hanli Wang and Sam Kwong, “High Dynamic Range Image Quality Assessment Based on Frequency Disparity,” IEEE Transactions on Circuits and Systems for Video Technology, Early Access, January 2023.

10. Yi Chen, Meng Wang, Shiqi Wang, Zhangkai Ni, and Sam Kwong, “A CTU-level Screen Content Rate Control for Low-delay Versatile Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, Early Access, February 2023.

• Patent

1. Huanqiang Zeng, Lu Xing, Zhangkai Ni, Jiuwen Cao, Canhui Cai, and Kai-Kuang Ma, “A Multi-Exposure Fused Image Quality Assessment Method Based on Contrast and Saturation,” Chinses Patent, ZL 201610886339.5 [P]. 2019-02-26.

2. Huanqiang Zeng, Zhangkai Ni, Lin Ma, Jiuwen Cao, Canhui Cai, and Kai-Kuang Ma, “A Screen Content Image Quality Assessment Method Based on Phase Congruency,” Chinses Patent, ZL201611158405.3 [P]. 2017-07-05.