Lu Ming
I am a research scientist at Vision and AI Lab (VAIL), Intel Labs China, where I work on computer graphics and 3D vision. I did my PhD at Tsinghua University, where I was advised by Prof. Zhang Li.
For Computer Graphics (2013-now), I've worked on developing high-quality/efficient/scalable/intelligent AI models for visual synthesis systems.
I'm especially interested in improving the workloads at crucial visual synthesis systems such as AI + Chips (ISP/Codec/GPU), AIGC, Neural Field and Large AI Models.
For 3D Vision (2022-now), I've worked on applying my CG techniques to 3D vision applications such as Autonomous Driving and AI4Science.
Only my favourite papers are listed. * denotes first author or corresponding author.
Research Intro  / 
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Thanks Note
At the age of fifteen (2006), I had an accident, which yields TMJ Disorders. Over the past 16 years, I was tortured by severe headache and insomnia, which even changed my personality. I took lots of physical examinations like brain tumor, ankylosing spondylitis, etc. However, I never knew the cause is TMJ Disorders until 2022/10/1. I would like to thank all the doctors, colleagues, friends, classmates and my family for their kindness during the tough 16 years. I especially thank my parents, who unconditionally believe and encourage me. Here, I would like to thank you all.
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Computer Graphics Research
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CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input
Senmao Tian, Ming Lu*, Jiaming Liu, Yandong Guo, Yurong Chen, Shunli Zhang
Computer Vision and Pattern Recognition (CVPR), 2023
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Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation
Jingwang Ling, Zhibo Wang, Ming Lu, Quan Wang, Chen Qian, Feng Xu
European Conference on Computer Vision (ECCV), 2022
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Semantically Disentangled Variational Autoencoder for Modeling 3D Facial Details
Jingwang Ling, Zhibo Wang, Ming Lu, Quan Wang, Chen Qian, Feng Xu
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
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Efficient Meta-Tuning for Content-aware Neural Video Delivery
Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu*, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang
European Conference on Computer Vision (ECCV), 2022
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Adaptive Patch Exiting for Scalable Single Image Super-Resolution
Shizun Wang, Jiaming Liu, Kaixin Chen, Xiaoqi Li, Ming Lu*, Yandong Guo
European Conference on Computer Vision (ECCV Oral), 2022
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SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution
Shizun Wang, Ming Lu*, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Ming Wu
British Machine Vision Conference (BMVC), 2021
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Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation
Jiaming Liu, Ming Lu*, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu
International Conference on Computer Vision (ICCV), 2021
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Emotion-preserving Blendshape Update with Real-time Face Tracking
Zhibo Wang, Jingwang Ling, Chengzeng Feng, Ming Lu, Feng Xu
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
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A Closed-Form Solution to Universal Style Transfer
Ming Lu*, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Zhang Li
International Conference on Computer Vision (ICCV), 2019
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Real-time 3D Eyelids Tracking from Semantic Edges
Quan Wen, Feng Xu, Ming Lu, Junhai Yong
SIGGRAPH Asia 2017, 2017
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3D Vision Research (AD and AI4Science)
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BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks
Xiaowei Chi, Jiaming Liu, Ming Lu*, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang
Computer Vision and Pattern Recognition (CVPR), 2023
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BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection
Jianing Li, Ming Lu*, Jiaming Liu, Yandong Guo, Li Du, Shanghang Zhang
arxiv, 2022
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Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang
Computer Vision and Pattern Recognition (CVPR), 2017
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