LI Yikang's Homepage

Research Scientist, Shanghai AI Lab & Deputy Director of R&D, Sensetime Group.
Room 3719, Level 37, 701 Yunjin Road, Xuhui District, Shanghai, China
liyikang [at] pjlab.org.cn, liyikang [at] senseauto.com
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I’m currently a research scientist & PI at Shanghai AI Laboratory and Deputy Director of R&D at Sensetime Technology Ltd.. I am leading a research team containg over 20 talented researchers & interns at Shanghai AI Lab, aiming at designing an automated data pipeline to enhance the data-driven Autonomous Driving development. Additionally, I also lead a R&D team containing over 30 talented engineers at Sensetime, developing the RoboX Autonomous Products.

I obtained my Ph.D. from The Chinese University of Hong Kong in May, 2020 supervised by Prof. Xiaogang Wang and Prof. Xiaoou Tang. I got my bachelor’s degrees of Electronic Engineering and Economics in Tsinghua University in 2016. I worked as an research intern at Microsoft Research Asia (MSRA) and Facebook Reality Labs (Now Meta Reality Labs) during my Ph.D. years.

Research interest: 3D Scene Reconstruction, 3D Scene Perception, Behavior & Scene Simulation, any Autonomous-Driving-related topic.

***Important***  Our team is searching for highly self-motivated interns / full-time employees / post-docs . If you are interested in solving the industrial problem in an academic way, do not hesitate to contact me.

News

Mar 22, 2022 The group standard for RoboBus led by us is released. 《自动驾驶小型客车总体技术要求》  NEW!
Mar 2, 2022 Two papers are accepted by CVPR-2022, poster * 1 and oral * 1.
Feb 6, 2022 Our survey paper on multi-modal sensor fusion for autonomous driving perception is now on Arxiv.
Jan 29, 2022 An all-in-one and ready-to-use LiDAR-inertial odometry system for Livox LiDAR is released. [Code]
Jan 29, 2022 Beta Testing for Data Compliance Guide (《数据合规自查表》/ 《数据合规指南》) is now open to [apply].
Jan 21, 2022 The 1st OpenDay for Autonomous Driving Group of Shanghai AI Lab. [Videos]

Selected publications

Conferences
  1. CVPR
    Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
    Yuenan Hou, Xinge Zhu, Yuexin Ma, Chen Change Loy, and Yikang Li#
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
  2. NeurIPS
    Pastegan: A Semi-parametric Method to Generate Image from Scene Graph
    Yikang Li , Tao Ma, Yeqi Bai, Nan Duan, Sining Wei, and Xiaogang Wang
    Advances in Neural Information Processing Systems (NeurIPS) 2019
  3. ECCV
    Factorizable Net: an Efficient Subgraph-based Framework for Scene Graph Generation
    Yikang Li , Wanli Ouyang, Bolei Zhou, Jianping Shi, Chao Zhang, and Xiaogang Wang
    Proceedings of the European Conference on Computer Vision (ECCV) 2018
  4. CVPR
    Visual Question Generation as Dual Task of Visual Question Answering
    Yikang Li , Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, and Ming Zhou
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018
  5. ICCV
    Scene Graph Generation from Objects, Phrases and Region Captions
    Yikang Li , Wanli Ouyang, Bolei Zhou, Kun Wang, and Xiaogang Wang
    Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2017
  6. CVPR
    ViP-CNN: Visual Phrase Guided Convolutional Neural Network
    Yikang Li , Wanli Ouyang, and Xiaogang Wang
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2017
Preprints
  1. Arxiv
    Joint Camera Intrinsic and LiDAR-Camera Extrinsic Calibration
    Guohang Yan, Feiyu He, Chunlei Shi, Xinyu Cai, and Yikang Li#
    arXiv preprint arXiv:2202.13708 2022
  2. Arxiv
    Multi-modal Sensor Fusion for Auto Driving Perception: A Survey
    Keli Huang, Botian Shi, Xiang Li, Xin Li, Siyuan Huang, and Yikang Li#
    arXiv preprint arXiv:2202.02703 2022
  3. Arxiv
    Perception Entropy: A Metric for Multiple Sensors Configuration Evaluation and Design
    Tao Ma, Zhizheng Liu, and Yikang Li#
    arXiv preprint arXiv:2104.06615 2021
  4. Arxiv
    CRLF: Automatic Calibration and Refinement based on Line Feature for LiDAR and Camera in Road Scenes
    Tao Ma, Zhizheng Liu, Guohang Yan, and Yikang Li#
    arXiv preprint arXiv:2103.04558 2021
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