Jing Zhao

According to our database, Jing Zhao authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Universal Optimization Framework for Learning-based Image Codec.

Jing Zhao, Bin Li, Jiahao Li, Ruiqin Xiong, Yan Lu

ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Joint Demosaicing and Denoising for Spike Camera.

Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera.

Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion.

Lujie Xia, Jing Zhao, Ruiqin Xiong, Tiejun Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reconstructing Clear Image for High-Speed Motion Scene With a Retina-Inspired Spike Camera.

Jing Zhao, Ruiqin Xiong, Jiyu Xie, Boxin Shi, Zhaofei Yu, Wen Gao, Tiejun Huang

IEEE Trans. Computational Imaging, 2022

High-Speed Scene Reconstruction from Low-Light Spike Streams.

Yanchen Dong, Jing Zhao, Ruiqin Xiong, Tie-Jun Huang

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Learning Optical Flow from Continuous Spike Streams.

Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3D Residual Interpolation for Spike Camera Demosaicing.

Yanchen Dong, Jing Zhao, Ruiqin Xiong, Tiejun Huang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Reconstruct Clear Image for High-Speed Motion Scene with Retina-Inspired Spike Camera - Supplementary Material.

Jing Zhao, Ruiqin Xiong

Dataset, June, 2021

Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing.

Zhibo Wang, Jing Zhao, Jiahui Hu, Tianqing Zhu, Qian Wang, Ju Ren, Chao Li

IEEE Trans. Mob. Comput., 2021

Super Resolve Dynamic Scene from Continuous Spike Streams.

Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Universal Encoder Rate Distortion Optimization Framework for Learned Compression.

Jing Zhao, Bin Li, Jiahao Li, Ruiqin Xiong, Yan Lu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream.

Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Towards Demand-Driven Dynamic Incentive for Mobile Crowdsensing Systems.

Jiahui Hu, Zhibo Wang, Jian Wei, Ruizhao Lv, Jing Zhao, Qian Wang, Honglong Chen, Dejun Yang

IEEE Trans. Wirel. Commun., 2020

Motion Estimation for Spike Camera Data Sequence via Spike Interval Analysis.

Jing Zhao, Ruiqin Xiong, Rui Zhao, Jin Wang, Siwei Ma, Tiejun Huang

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

High-Speed Motion Scene Reconstruction for Spike Camera via Motion Aligned Filtering.

Jing Zhao, Ruiqin Xiong, Tiejun Huang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

OmniCast: Wireless Pseudo-Analog Transmission for Omnidirectional Video.

Jing Zhao, Ruiqin Xiong, Jizheng Xu

IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Learning a Deep Convolutional Network for Subband Image Denoising.

Jing Zhao, Ruiqin Xiong, Jizheng Xu, Feng Wu, Tiejun Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Pyramid Convolutional Network for Single Image Deraining.

Jing Zhao, Jiyu Xie, Ruiqin Xiong, Siwei Ma, Tiejun Huang, Wen Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Heterogeneous incentive mechanism for time-sensitive and location-dependent crowdsensing networks with random arrivals.

Zhibo Wang, Ran Tan, Jiahui Hu, Jing Zhao, Qian Wang, Feng Xia, Xiaoguang Niu

Comput. Networks, 2018

Residual Signals Modeling for Layered Image/Video Softcast with Hybrid Digital-Analog Transmission.

Jing Zhao, Jiyu Xie, Ruiqin Xiong

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Pay On-Demand: Dynamic Incentive and Task Selection for Location-Dependent Mobile Crowdsensing Systems.

Zhibo Wang, Jiahui Hu, Jing Zhao, Dejun Yang, Honglong Chen, Qian Wang

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

Wireless image and video soft transmission via perception-inspired power distortion optimization.

Jing Zhao, Ruiqin Xiong, Chong Luo, Feng Wu, Wen Gao

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017