LI Yikang's Homepage

Research Scientist & PI, Shanghai AI Lab.
Room 3719, Level 37, 701 Yunjin Road, Xuhui District, Shanghai, China
liyikang [at] pjlab.org.cn
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I’m currently a research scientist & PI at Shanghai AI Laboratory. I am leading a research team containg over 20 talented researchers at Shanghai AI Lab, aiming at innovating to the transportation system in a data-driven way.

Previously, I worked as Deputy Director of R&D at Sensetime Technology Ltd, leading a product team containing over 30 talented engineers and product specialists, developing the RoboX Autonomous Products, including RoboBus & RoboSweeper.

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

Jul 4, 2022 Two papers are accepted by ECCV-2022, sensor fusion * 1 and NeRF * 1.  NEW!
Jul 1, 2022 I have finished all the handovers at Sensetime. I am really grateful for the 3-year unforgettable experience here.
Jun 30, 2022 Two autonomous-driving-related papers got accepted, ITS-C * 1 and IROS * 1.
May 27, 2022 Our Calibration Toolbox for Autonomous Driving, OpenCalib (Code and Paper), is now released.
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》
Mar 2, 2022 Two papers are accepted by CVPR-2022, poster * 1 and oral * 1.

Selected publications

Conferences
  1. ECCV
    L-Tracing: Fast Light Visibility Estimation on Neural Surfaces by Sphere Tracing
    Ziyu Chen, Chenjing Ding, Jianfei Guo, Dongliang Wang, Yikang Li , Xuan Xiao, Wei Wu, and Li Song
    European Conference on Computer Vision 2022
  2. ECCV
    Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection
    Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li# , and Liang He
    European Conference on Computer Vision 2022
  3. IROS
    CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road Scene
    Pengjin Wei, Guohang Yan, Yikang Li , Kun Fang, Wei Liu, Xinyu Cai, and Jie Yang
    International Conference on Intelligent Robots and Systems 2022
  4. ITSC
    General Driving Behavior Model based on the Desired Safety Margin for Vehicle Flow Simulation
    Pinlong Cai, Junjie Zhang, Xuan Zhao, and Yikang Li#
    International Conference on Intelligent Transportation Systems 2022
  5. CVPR
    β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
    Peng Ye, Baopu Li, Yikang Li , Tao Chen, Jiayuan Fan, and Wanli Ouyang
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
    OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
    Guohang Yan, Zhuochun Liu, Chengjie Wang, Chunlei Shi, Pengjin Wei, Xinyu Cai, Tao Ma, Zhizheng Liu, Zebin Zhong, Yuqian Liu, Ming Zhao, Zheng Ma, and Yikang Li#
    arXiv preprint arXiv:2205.14087 2022
  2. 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
  3. 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
  4. 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
  5. 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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