Zeming Li ( 黎泽明 )

Director of Base-Detection Team in Megvii Research. Previously, I got my M.E. from THU in 2018.

My research interests focus on the computer vision and artificial intelligence, specifically on the topic of object detection(2D/3D), unsupervised/semi-supervised learning, and efficient neural-network design.

Contact:lizeming@megvii.com (prior) , zengarden2009@gmail.com

Google Scholar | GitHub | ORCID
 

News

Publications

+ Equal contribution

Fine-Grained Dynamic Head for Object Detection
Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng
NeurIPS, 2020, code/models

Rethinking Learnable Tree Filter for Generic Feature Transform
Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, Hongbin Sun, Jian Sun, Nanning Zheng
NeurIPS, 2020, code/models

BorderDet: Border Feature for Dense Object Detection
Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun
ECCV Oral, 2020, code/models

Learning Dynamic Routing for Semantic Segmentation
Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun
CVPR Oral, 2020, code/models

Learnable Tree Filter for Structure-preserving Feature Transform
Lin Song+,Yanwei Li+, Zeming Li, Gang Yu, Hongbin Sun, Jian Sun
NeurIPS, 2019, code/models

ThunderNet: Towards Real-time Generic Object Detection
Zheng Qin+, Zeming Li+, Yiping Bao, Gang Yu, Yuxing Peng, Jian Sun
ICCV, 2019

Objects365: A Large-scale, High-quality Dataset for Object Detection
Shuai Shao+, Zeming Li+, Tianyuan Zhang+, Chao Peng+, Gang Yu, Xiangyu Zhang, Jing Li, Jian Sun
ICCV, 2019, dataset

MetaAnchor: Learning to Detect Objects with Customized Anchors
Tong Yang, Xiangyu Zhang, Zeming Li, Wenqiang Zhang, Jian Sun
NeurIPS, 2018

DetNet: A Backbone network for Object Detection
Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun
ECCV, 2018

MegDet: A Large Mini-Batch ObjectDetector
Chao Peng+ , Tete Xiao+ , Zeming Li+ , Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu, Jian Sun
CVPR spotlight, 2018

R-FCN++: Towards Accurate Region-based Fully Convolutional Networks for Object Detection
Zeming Li, Yilun Chen, Gang Yu, Yangdong Deng
AAAI Oral, 2018

Reports

Fully Convolutional Networks for Panoptic Segmentation
Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
Report, 2020, code/models

End-to-End Object Detection with Fully Convolutional Network
Jianfeng Wang, Lin Song, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng
Report, 2020, code/models

Self-EMD: Self-Supervised Object Detection without ImageNet
Songtao Liu, Zeming Li, Jian Sun
Report, 2020

EqCo: Equivalent Rules for Self-supervised Contrastive Learning
Benjin Zhu, Junqiang Huang, Zeming Li, Xiangyu Zhang, Jian Sun
Report, 2020 code/models

AutoAssign: Differentiable Label Assignment for Dense Object Detection
Benjin Zhu, Jianfeng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, Jian Sun
Report, 2020 code/models

Stitcher: Feedback-driven Data Provider for Object Detection
Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, Gaofeng Meng, Shiming Xiang, Jian Sun, Jiaya Jia
Report, 2020

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, Gang Yu
Report, 2019, code/models

Light-Head R-CNN: In Defense of Two-Stage Object Detector
Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun
Report, 2017, code/models

Awards

I won the famous object detection challenge COCO as the leading player during 2017,2018,2019.

Services

Recent Conference Review: NeurIPS2020, AAAI2021, ICLR2021, CVPR2021, ICML2021

Links

Research Collaborator: 孙剑(Jian Sun), 俞刚(Gang Yu), 彭超(Peng Chao)

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Updating time: 2020.10.28