Ming Lu (陆 明) Ph.D Candidate Vision Lab Nanjing University Location: Room 311, Building of Electronic, No.163 Xianlin Road, Qixia District, Nanjing, Jiangsu, China News | Research Interests | Education | Publications | Service | Honors and Awards Email: luming@smail.nju.edu.cn [Google Scholar] [GitHub]

News

• [2023.01] WACV Best Algorithm Paper!
• [2022.09] Two co-authored papers accepted by PCS!
• [2022.08] One co-authored paper accepted by WACV!
• [2022.08] One co-authored paper accepted by MMSP!
• [2022.01] One co-authored paper accepted by TCSVT!
• [2022.01] One paper accepted by TMM!
• [2021.12] One paper accepted by DCC!

Research Interests

My research interests include end-to-end lossy image and video compression, learned image and video enhancement, practical algorithm exploration, and some other low-level vision tasks. Currently, I focus on the following research topics:

• End-to-End Lossy Image and Video Compression
• Learned Image and Video Enhancement
• Ultralow Bitrate Video Conferencing

Education

• 2017.9-Now            Ph.D in School of Electronic Science and Engineering, Nanjing University.               Supervisor: Prof. Zhan Ma
• 2012.9-2016.6        B.E. in School of Electronic Science and Engineering, Nanjing University.

Publications

(* Co-first Author, # Corresponding Author)

Journals:

[5] M. Lu, T. Chen, Z. Dai, D. Wang, D. Ding, and Z. Ma#, “Decoder-side Cross Resolution Synthesis for Video Compression Enhancement”, IEEE Trans. Multimedia (TMM), Jan. 2022. [Project]

[4] H. Liu, M. Lu, Z. Chen, X. Cao, Z. Ma#, and Y. Wang, “End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation”, IEEE Trans. Circuits and Systems for Video Technology (TCSVT), Vol. 32, no. 8, pp. 5650-5662, Aug. 2022. [Paper]

[3] W. Hong, T. Chen, M. Lu, S. Pu, and Z. Ma#, “Efficient Neural Image Decoding via Fixed-Point Inference”, IEEE Trans. Circuits and Systems for Video Technology (TCSVT), Vol. 31, no. 9, pp. 3618-3630, Sept. 2021. [Project]

[2] H. Liu, M. Lu, Z. Ma#, F. Wang, Z. Xie, X. Cao#, and Y. Wang, “Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model”, IEEE Trans. Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 8, pp. 3182-3196, Aug. 2021. [Project]

[1] H. Chen*, M. Lu*, Z. Ma#, X. Zhang, Y. Xu#, Q. Shen, and W. Zhang, “Learned Resolution Scaling Powered Gaming-as-a-Service at Scale”, IEEE Trans. Multimedia (TMM), vol. 23, pp. 584-596, Apr. 2020. [Paper]

Conferences:

[8] Z. Duan, M. Lu, Z. Ma, and F. Zhu#, “Lossy Image Compression with Hierarchical VAEs”, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 23), in Waikoloa, Hawaii, Jan. 2023. (EI, Best Paper - Algorithms)

[7] X. Wang, M. Lu, and Z. Ma#, "Block-Level Rate Control for Learnt Image Compression", IEEE Picture Coding Symposium (PCS 22), in San Jose, California, USA, Dec. 2022. (EI)

[6] Z. Duan, M. Lu, Z. Ma, and F. Zhu#, "Opening the Black Box of Learned Image Coders", IEEE Picture Coding Symposium (PCS 22), in San Jose, California, USA, Dec. 2022. (EI)

[5] Z. Chen, M. Lu, H. Chen#, and Z. Ma#, “Robust Ultralow Bitrate Video Conferencing with Second Order Motion Coherency”, IEEE International Workshop on Multimedia Signal Processing (MMSP 22), in Shanghai, China, Sept. 2022. (EI)

[4] M. Lu, P. Guo, H. Shi, C. Cao, and Z. Ma#, “Transformer-based Image Compression”, IEEE Data Compression Conference (DCC 22), in Snow Bird, Utah, Mar. 2022. (EI) [Paper]

[3] H. Liu, H. Shen, L. Huang, M. Lu, T. Chen, and Z. Ma#, “Learned Video Compression via Joint Spatial-Temporal Correlation Exploration”, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 20), in New York City, USA, Feb. 2020. (EI, CCF-A) [Paper]

[2] M. Lu, M. Cheng, Y. Xu, S. Pu, Q. Shen#, and Z. Ma#, “Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications”, IEEE International Conference on Image Processing (ICIP 19), in Taipei, Taiwan, China, Sept. 2019. (EI, Top 10% Papers) [Paper]

[1] M. Lu, T. Chen, H. Liu, and Z. Ma#, “Learned Image Restoration for VVC Intra Coding”, IEEE CVPR Workshop and Challenge on Learned Image Compression (CLIC 19), Jun. 2019. (EI) [Paper]

Service

Reviewer of OJCAS, TNNLS, ICME, TCSVT.

Honors and Awards

• IEEE Winter Conference on Applications of Computer Vision, Best Paper - Algorithms, Jan. 2023.
• IEEE MMSP Grand Challenge, Best Performing Image Coding Solution, Sept. 2020.
• IEEE International Conference on Image Processing, Top 10% Papers, Sept. 2019.
• ACM SIGCOMM Student Research Competition, Finalist, Aug. 2018.