Lu Ming

I am a research scientist at AI Research Lab (AIRL), Intel Labs China, where I work on fundamental visual AI techniques (visual synthesis and visual understanding). I did my Ph.D focused on computer graphics and 3D vision at Tsinghua University, where I was advised by Prof. Zhang Li.

I'm especially interested in AI + Chips (ISP/Codec/GPU/etc.), Neural Field (NeRF/3DGS/3D Occupancy/etc.), and Large AI Models (SAM/Diffusion Model/LLaVA/etc.).

Research Intro / Email / CV / Bio / Google Scholar / Github

Visual Synthesis Research, Partly

	Superpixel-based Efficient Sampling for Learning Neural Fields from Large Input Zhongwei Xuan, Zunjie Zhu, Shuai Wang, Haibing Yin, Hongkui Wang, Ming Lu ACM Multimedia (MM), 2024
	NTO3D: Neural Target Object 3D Reconstruction with Segment Anything Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang Computer Vision and Pattern Recognition (CVPR), 2024
	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
	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
	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
	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
	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
	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
	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
	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
	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
	Real-time 3D Eyelids Tracking from Semantic Edges Quan Wen, Feng Xu, Ming Lu, Junhai Yong SIGGRAPH Asia 2017, 2017

Visual Understanding Research, Partly

	I-MedSAM: Implicit Medical Image Segmentation with Segment Anything Xiaobao Wei, Jiajun Cao, Yizhu Jin, Ming Lu, Guangyu Wang, Shanghang Zhang European Conference on Computer Vision (ECCV), 2024
	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
	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
	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

Misc

	Our 3D face technique has been applied to Chris Lee's MV
	Our 3D body technique has been applied to the opening ceremony of Winter Olympic Games 2022