Ming Lu

According to our database, Ming Lu authored at least 38 papers between 2019 and 2025.

Collaborative distances:

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

2025

Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic Inference.

Xu Zhang, Ming Lu, Yan Chen, Zhan Ma

CoRR, July, 2025

Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion.

Anle Ke, Xu Zhang, Tong Chen, Ming Lu, Chao Zhou, Jiawen Gu, Zhan Ma

CoRR, May, 2025

Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic Inference.

Xu Zhang, Ming Lu, Yan Chen, Zhan Ma

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

On Quantizing Neural Representation for Variable-Rate Video Coding.

Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, Zhan Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Integrating Adaptive Sampling for Optimal Learned Video Compression.

Wuyang Cong, Yuzhuo Kong, Ming Lu, Lizhong Wang, Weijing Shi, Zhan Ma

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Adaptive Rate Control for Deep Video Compression with Rate-Distortion Prediction.

Bowen Gu, Hao Chen, Ming Lu, Jie Yao, Zhan Ma

Proceedings of the Data Compression Conference, 2025

Towards Loss-Resilient Image Coding for Unstable Satellite Networks.

Hongwei Sha, Muchen Dong, Quanyou Luo, Ming Lu, Hao Chen, Zhan Ma

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Generative Refinement for Low Bitrate Image Coding Using Vector Quantized Residual.

Yuzhuo Kong, Ming Lu, Zhan Ma

IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2024

Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression.

Junqi Shi, Ming Lu, Zhan Ma

IEEE Trans. Circuits Syst. Video Technol., May, 2024

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression.

Zhihao Duan, Ming Lu, Jack Ma, Yuning Huang, Zhan Ma, Fengqing Zhu

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Efficient Visual Computing With Camera RAW Snapshots.

Zhihao Li, Ming Lu, Xu Zhang, Xin Feng, M. Salman Asif, Zhan Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2024

High-Efficiency Neural Video Compression via Hierarchical Predictive Learning.

Ming Lu, Zhihao Duan, Wuyang Cong, Dandan Ding, Fengqing Zhu, Zhan Ma

CoRR, 2024

Lossless JPEG Recompression for Similar Images via Frequency Domain Block Matching.

Hongwei Sha, Ming Lu, Zhan Ma

Proceedings of the Picture Coding Symposium, 2024

All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation.

Xu Zhang, Peiyao Guo, Ming Lu, Zhan Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

HINER: Neural Representation for Hyperspectral Image.

Junqi Shi, Mingyi Jiang, Ming Lu, Tong Chen, Xun Cao, Zhan Ma

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Accelerating Block-level Rate Control for Learned Image Compression.

Muchen Dong, Ming Lu, Zhan Ma

Proceedings of the Data Compression Conference, 2024

Towards Backward-Compatible Continual Learning of Image Compression.

Zhihao Duan, Ming Lu, Justin Yang, Jiangpeng He, Zhan Ma, Fengqing Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding.

Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding, Fengqing Zhu, Zhan Ma

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

Deep Hierarchical Video Compression.

Ming Lu, Zhihao Duan, Fengqing Zhu, Zhan Ma

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

2023

Decoder-Side Cross Resolution Synthesis for Video Compression Enhancement.

Ming Lu, Tong Chen, Zhenyu Dai, Dong Wang, Dandan Ding, Zhan Ma

IEEE Trans. Multim., 2023

Lossy Image Compression with Quantized Hierarchical VAEs.

Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Recurrent Information Synthesis for Down-Sampling Based Video Coding.

Chi Zhang, Ming Lu, You Li, Zhan Ma

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Cloud Game Video Coding Based On Human Eye Fixation Point.

Geng Wei, Tianjing Zhang, Ming Lu, Xin Wang, Hao Chen

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

ULIC: Ultra Lightweight Image Coder on Wearable Devices.

Muchen Dong, Hongwei Sha, Ming Lu, Zhan Ma

Proceedings of the Digital Multimedia Communications, 2023

2022

End-to-End Neural Video Coding Using a Compound Spatiotemporal Representation.

Haojie Liu, Ming Lu, Zhiqi Chen, Xun Cao, Zhan Ma, Yao Wang

IEEE Trans. Circuits Syst. Video Technol., 2022

High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation.

Ming Lu, Zhan Ma

CoRR, 2022

Block-Level Rate Control for Learnt Image Coding.

Xining Wang, Ming Lu, Zhan Ma

Proceedings of the Picture Coding Symposium, 2022

Opening the Black Box of Learned Image Coders.

Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu

Proceedings of the Picture Coding Symposium, 2022

Robust Ultralow Bitrate Video Conferencing with Second Order Motion Coherency.

Zhehao Chen, Ming Lu, Hao Chen, Zhan Ma

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Transformer-based Image Compression.

Ming Lu, Peiyao Guo, Huiqing Shi, Chuntong Cao, Zhan Ma

Proceedings of the Data Compression Conference, 2022

2021

Learned Resolution Scaling Powered Gaming-as-a-Service at Scale.

Hao Chen, Ming Lu, Zhan Ma, Xu Zhang, Yiling Xu, Qiu Shen, Wenjun Zhang

IEEE Trans. Multim., 2021

Neural Video Coding Using Multiscale Motion Compensation and Spatiotemporal Context Model.

Haojie Liu, Ming Lu, Zhan Ma, Fan Wang, Zhihuang Xie, Xun Cao, Yao Wang

IEEE Trans. Circuits Syst. Video Technol., 2021

Efficient Neural Image Decoding via Fixed-Point Inference.

Weixin Hong, Tong Chen, Ming Lu, Shiliang Pu, Zhan Ma

IEEE Trans. Circuits Syst. Video Technol., 2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results.

Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, Xiaoyu Zhang, Linjie Zhou, Sixin Lin, Ru Wang

CoRR, 2021

2020

Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning.

Ming Lu, Tong Chen, Dandan Ding, Fengqing Zhu, Zhan Ma

CoRR, 2020

Learned Video Compression via Joint Spatial-Temporal Correlation Exploration.

Haojie Liu, Han Shen, Lichao Huang, Ming Lu, Tong Chen, Zhan Ma

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications.

Ming Lu, Ming Cheng, Yiling Xu, Shiliang Pu, Qiu Shen, Zhan Ma

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learned Image Restoration for VVC Intra Coding.

Ming Lu, Tong Chen, Haojie Liu, Zhan Ma

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