LI Yikang's Homepage

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

   Bib

   @inproceedings{li2022lidarsegkd,
     title = {Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation},
     author = {Hou, Yuenan and Zhu, Xinge and Ma, Yuexin and Loy, Chen Change and Li, Yikang},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2022},
     bibtex_show = {true},
     abbr = {CVPR},
     selected = {true},
     corr = {true}
   }

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

   arXiv Bib PDF Code Poster

   @inproceedings{li2019pastegan,
     title = {Pastegan: A Semi-parametric Method to Generate Image from Scene Graph},
     author = {Li, Yikang and Ma, Tao and Bai, Yeqi and Duan, Nan and Wei, Sining and Wang, Xiaogang},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     volume = {32},
     year = {2019},
     bibtex_show = {true},
     abbr = {NeurIPS},
     arxiv = {https://arxiv.org/abs/1709.07192},
     pdf = {https://proceedings.neurips.cc/paper/2019/file/12b1e42dc0746f22cf361267de07073f-Paper.pdf},
     poster = {assets/files/publications/nips19_pastegan_poster.pdf},
     code = {https://github.com/yikang-li/PasteGAN},
     selected = {true}
   }

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

   arXiv Bib PDF Code Poster

   @inproceedings{li2018fnet,
     title = {Factorizable Net: an Efficient Subgraph-based Framework for Scene Graph Generation},
     author = {Li, Yikang and Ouyang, Wanli and Zhou, Bolei and Shi, Jianping and Zhang, Chao and Wang, Xiaogang},
     booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
     pages = {335--351},
     year = {2018},
     bibtex_show = {true},
     abbr = {ECCV},
     arxiv = {https://arxiv.org/abs/1806.11538},
     pdf = {assets/files/publications/eccv18_fnet.pdf},
     poster = {assets/files/publications/eccv18_fnet_poster.pdf},
     code = {https://github.com/yikang-li/FactorizableNet},
     selected = {true}
   }

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

   arXiv Bib PDF Code Poster

   @inproceedings{li2018iqan,
     title = {Visual Question Generation as Dual Task of Visual Question Answering},
     author = {Li, Yikang and Duan, Nan and Zhou, Bolei and Chu, Xiao and Ouyang, Wanli and Wang, Xiaogang and Zhou, Ming},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     pages = {6116--6124},
     year = {2018},
     bibtex_show = {true},
     abbr = {CVPR},
     arxiv = {https://arxiv.org/abs/1709.07192},
     pdf = {assets/files/publications/cvpr18_iqan.pdf},
     poster = {assets/files/publications/cvpr18_iqan_poster.pdf},
     code = {https://github.com/yikang-li/iQAN},
     selected = {true}
   }

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

   arXiv Bib PDF Code Poster

   @inproceedings{li2017scene,
     title = {Scene Graph Generation from Objects, Phrases and Region Captions},
     author = {Li, Yikang and Ouyang, Wanli and Zhou, Bolei and Wang, Kun and Wang, Xiaogang},
     booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
     pages = {1261--1270},
     year = {2017},
     bibtex_show = {true},
     abbr = {ICCV},
     arxiv = {https://arxiv.org/abs/1707.09700},
     pdf = {assets/files/publications/iccv17_msdn.pdf},
     poster = {assets/files/publications/iccv17_msdn_poster.pdf},
     code = {https://github.com/yikang-li/MSDN},
     selected = {true}
   }

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

   arXiv Bib PDF Poster

   @inproceedings{li2017vip,
     title = {ViP-CNN: Visual Phrase Guided Convolutional Neural Network},
     author = {Li, Yikang and Ouyang, Wanli and Wang, Xiaogang},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     pages = {1347--1356},
     year = {2017},
     bibtex_show = {true},
     abbr = {CVPR},
     arxiv = {https://arxiv.org/abs/1702.07191},
     pdf = {assets/files/publications/cvpr17_vip_cnn.pdf},
     poster = {assets/files/publications/cvpr17_vip_cnn_poster.pdf},
     selected = {true}
   }

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

   arXiv Bib PDF Code

   @article{yan2022joint,
     title = {Joint Camera Intrinsic and LiDAR-Camera Extrinsic Calibration},
     author = {Yan, Guohang and He, Feiyu and Shi, Chunlei and Cai, Xinyu and Li, Yikang},
     journal = {arXiv preprint arXiv:2202.13708},
     year = {2022},
     abbr = {Arxiv},
     arxiv = {https://arxiv.org/abs/2202.13708.pdf},
     pdf = {https://arxiv.org/pdf/2202.13708.pdf},
     bibtex_show = {true},
     corr = {true},
     selected = {true},
     code = {https://github.com/OpenCalib/JointCalib}
   }

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

   arXiv Bib PDF

   @article{huang2022multi,
     title = {Multi-modal Sensor Fusion for Auto Driving Perception: A Survey},
     author = {Huang, Keli and Shi, Botian and Li, Xiang and Li, Xin and Huang, Siyuan and Li, Yikang},
     journal = {arXiv preprint arXiv:2202.02703},
     year = {2022},
     abbr = {Arxiv},
     arxiv = {https://arxiv.org/abs/2202.02703},
     pdf = {https://arxiv.org/pdf/2202.02703},
     bibtex_show = {true},
     corr = {true},
     selected = {true}
   }

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

   arXiv Bib PDF

   @article{ma2021pe,
     title = {Perception Entropy: A Metric for Multiple Sensors Configuration Evaluation and Design},
     author = {Ma, Tao and Liu, Zhizheng and Li, Yikang},
     journal = {arXiv preprint arXiv:2104.06615},
     year = {2021},
     abbr = {Arxiv},
     arxiv = {https://arxiv.org/abs/2104.06615},
     pdf = {https://arxiv.org/pdf/2104.06615},
     bibtex_show = {true},
     corr = {true},
     selected = {true}
   }

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

   arXiv Bib PDF Code

   @article{ma2021crlf,
     title = {CRLF: Automatic Calibration and Refinement based on Line Feature for LiDAR and Camera in Road Scenes},
     author = {Ma, Tao and Liu, Zhizheng and Yan, Guohang and Li, Yikang},
     journal = {arXiv preprint arXiv:2103.04558},
     year = {2021},
     abbr = {Arxiv},
     arxiv = {https://arxiv.org/abs/2103.04558},
     pdf = {https://arxiv.org/pdf/2103.04558},
     code = {https://github.com/PJLab-ADG/SensorsCalibration},
     bibtex_show = {true},
     corr = {true},
     selected = {true}
   }