Imperial College London

Ms. Siying Liu

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Postgraduate
 
 
 
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Contact

 

siying.liu20 Website

 
 
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Location

 

805Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

I am a PhD student in the Communications and Signal Processing (CSP) group at  Imperial College London, under the supervision of Prof. Pier Luigi Dragotti. I received a M.Sc. (2020) and B.Sc (2017) degree in Instrumentation Science and Technology from the Beihang University (Beijing, China). My research interests include event-based vision, model-based deep learning, SNNs and remote sensing image processing.

News


We have posted another paper about events-to-video reconstruction: "Enhanced Event-Based Video Reconstruction with Motion Compensation", arxiv preprint:2403.11961. Related code is coming soon! 

Projects

The code for V2E2V related to our TPAMI 2023 and ICASSP 2022 papers is released here!

The code for FS coding of SNNs is released here!

Publications



Liu, Siying, and Pier Luigi Dragotti (2024) "Enhanced Event-Based Video Reconstruction with Motion Compensation", arxiv preprint:2403.11961 

Liu, Siying, Vincent CH Leung, and Pier Luigi Dragotti. "First-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures." Frontiers in Neuroscience 17: 1266003. doi: 10.3389/fnins.2023.1266003

Liu, Siying, and Pier Luigi Dragotti. "Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from Events." IEEE Transactions on Pattern Analysis and Machine Intelligence (2023). doi: 10.1109/TPAMI.2023.3278940

S. Liu, R. Alexandru and P. L. Dragotti, "Convolutional ISTA Network with Temporal Consistency Constraints for Video Reconstruction from Event Cameras," ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 1935-1939, doi: 10.1109/ICASSP43922.2022.9746331.

Jiang, J., Lyu, C., Liu, S., He, Y., & Hao, X. (2020). RWSNet: a semantic segmentation network based on SegNet combined with random walk for remote sensingInternational Journal of Remote Sensing41 (2), 487-505. doi: 10.1080/01431161.2019.1643937

Liu S, Jiang J. Registration Algorithm Based on Line-Intersection-Line for Satellite Remote Sensing Images of Urban AreasRemote Sensing. 2019; 11(12):1400. doi: 10.3390/rs11121400

S. Liu and J. Jiang, "Remote sensing image registration based on feature points of global edge," 2017 IEEE International Conference on Imaging Systems and Techniques (IST), 2017, pp. 1-6, doi: 10.1109/IST.2017.8261564

Selected Awards


Oct 2020, Department Scholarship for 3.5-year of PhD study, Department of Electrical and Electronic Engineering, Imperial College London.

July 2020, Excellent Graduate Award, Beijing Municipal Commission of Education.

Dec 2019, National Scholarship, Chinese Ministry of Education.

July 2017, Excellent Graduate Award, Beijing Municipal Commission of Education.

Publications

Journals

Liu S, Leung VCH, Dragotti PL, 2023, First-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures, Frontiers in Neuroscience, Vol:17, ISSN:1662-453X

More Publications