Tiejun Huang

Publications

Wen Gao, Siwei Ma, Lingyu Duan, Yonghong Tian, Peiyin Xing, Yaowei Wang, Shanshe Wang, Huizhu Jia, Tiejun Huang. Digital Retina: A Way to Make the City Brain More Efficient by Visual Coding. IEEE Trans. Circuits Syst. Video Technol., 2021.
Jing Zhao, Ruiqin Xiong, Rui Zhao, Jin Wang, Siwei Ma, Tiejun Huang. Motion Estimation for Spike Camera Data Sequence via Spike Interval Analysis. 2020 IEEE International Conference on Visual Communications and Image Processing, VCIP 2020, Macau, China, December 1-4, 2020, 2020.
Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu. Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks, 2020.
Jing Zhao, Jiyu Xie, Ruiqin Xiong, Siwei Ma, Tiejun Huang, Wen Gao. Pyramid Convolutional Network for Single Image Deraining. IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019, 2019.
Zhangshuai Huang, Ling-Yu Duan, Jie Lin, Shiqi Wang, Siwei Ma, Tiejun Huang. An efficient coding framework for compact descriptors extracted from video sequence. 2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015, 2015.
Siwei Ma, Tiejun Huang, Cliff Reader, Wen Gao. AVS2 ? Making Video Coding Smarter [Standards in a Nutshell]. IEEE Signal Process. Mag., 2015.
Siwei Ma, Tiejun Huang, Wen Gao. The second generation IEEE 1857 video coding standard. IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015, Chengdu, China, July 12-15, 2015, 2015.
Wen Gao, Yonghong Tian, Tiejun Huang, Siwei Ma, Xianguo Zhang. The IEEE 1857 Standard: Empowering Smart Video Surveillance Systems. IEEE Intell. Syst., 2014.
Xianguo Zhang, Tiejun Huang, Yonghong Tian, Mingchao Geng, Siwei Ma, Wen Gao. Fast and Efficient Transcoding Based on Low-Complexity Background Modeling and Adaptive Block Classification. IEEE Trans. Multim., 2013.