publications

2022

1. ICLR

   DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection

   Jinrong Yang, Lin Song, Songtao Liu, Zeming Li, Xiaoping Li, and 3 more authors

   arXiv preprint arXiv:2207.10909 2022

   Bib

   @article{yang2022dbq,
     title = {DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection},
     author = {Yang, Jinrong and Song, Lin and Liu, Songtao and Li, Zeming and Li, Xiaoping and Sun, Hongbin and Sun, Jian and Zheng, Nanning},
     journal = {arXiv preprint arXiv:2207.10909},
     year = {2022}
   }

2. AAAI

   Bevdepth: Acquisition of reliable depth for multi-view 3d object detection

   Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, and 3 more authors

   arXiv preprint arXiv:2206.10092 2022

   Bib

   @article{li2022bevdepth,
     title = {Bevdepth: Acquisition of reliable depth for multi-view 3d object detection},
     author = {Li, Yinhao and Ge, Zheng and Yu, Guanyi and Yang, Jinrong and Wang, Zengran and Shi, Yukang and Sun, Jianjian and Li, Zeming},
     journal = {arXiv preprint arXiv:2206.10092},
     year = {2022}
   }

3. AAAI

   Bevstereo: Enhancing depth estimation in multi-view 3d object detection with dynamic temporal stereo

   Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, and 1 more author

   arXiv preprint arXiv:2209.10248 2022

   Bib

   @article{li2022bevstereo,
     title = {Bevstereo: Enhancing depth estimation in multi-view 3d object detection with dynamic temporal stereo},
     author = {Li, Yinhao and Bao, Han and Ge, Zheng and Yang, Jinrong and Sun, Jianjian and Li, Zeming},
     journal = {arXiv preprint arXiv:2209.10248},
     year = {2022}
   }

4. AAAI

   Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation

   En Yu, Songtao Liu, Zhuoling Li, Jinrong Yang, Shoudong Han, and 2 more authors

   arXiv preprint arXiv:2212.01568 2022

   Bib

   @article{yu2022generalizing,
     title = {Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation},
     author = {Yu, En and Liu, Songtao and Li, Zhuoling and Yang, Jinrong and Han, Shoudong and Tao, Wenbing and others},
     journal = {arXiv preprint arXiv:2212.01568},
     year = {2022}
   }

5. NeurIPS

   Unifying Voxel-based Representation with Transformer for 3D Object Detection

   Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, and 1 more author

   arXiv preprint arXiv:2206.00630 2022

   Bib HTML Code

   @article{li2022unifying,
     title = {Unifying Voxel-based Representation with Transformer for 3D Object Detection},
     author = {Li, Yanwei and Chen, Yilun and Qi, Xiaojuan and Li, Zeming and Sun, Jian and Jia, Jiaya},
     journal = {arXiv preprint arXiv:2206.00630},
     year = {2022},
   }

6. ECCV

   Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection

   Hongyu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, and 2 more authors

   arXiv preprint arXiv:2207.02541 2022

   Bib HTML Code

   @article{zhou2022dense,
     title = {Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection},
     author = {Zhou, Hongyu and Ge, Zheng and Liu, Songtao and Mao, Weixin and Li, Zeming and Yu, Haiyan and Sun, Jian},
     journal = {arXiv preprint arXiv:2207.02541},
     year = {2022},
   }

7. CVPR Oral

   Real-time Object Detection for Streaming Perception

   Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, and Jian Sun

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022

   Bib HTML Code

   @inproceedings{yang2022real,
     title = {Real-time Object Detection for Streaming Perception},
     author = {Yang, Jinrong and Liu, Songtao and Li, Zeming and Li, Xiaoping and Sun, Jian},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {5385--5395},
     year = {2022},
   }

8. CVPR

   Voxel Field Fusion for 3D Object Detection

   Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, and 2 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022

   Bib HTML Code

   @inproceedings{li2022voxel,
     title = {Voxel Field Fusion for 3D Object Detection},
     author = {Li, Yanwei and Qi, Xiaojuan and Chen, Yukang and Wang, Liwei and Li, Zeming and Sun, Jian and Jia, Jiaya},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {1120--1129},
     year = {2022},
   }

2021

1. NeurIPS

   Dynamic grained encoder for vision transformers

   Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, and 3 more authors

   Advances in Neural Information Processing Systems 2021

   Bib HTML Code

   @article{song2021dynamic,
     author = {Song, Lin and Zhang, Songyang and Liu, Songtao and Li, Zeming and He, Xuming and Sun, Hongbin and Sun, Jian and Zheng, Nanning},
     journal = {Advances in Neural Information Processing Systems},
     volume = {34},
     pages = {5770--5783},
     year = {2021}
   }

2. CVPR Oral

   Fully convolutional networks for panoptic segmentation

   Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, and 2 more authors

   In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2021

   Bib HTML Code

   @inproceedings{li2021fully,
     title = {Fully convolutional networks for panoptic segmentation},
     author = {Li, Yanwei and Zhao, Hengshuang and Qi, Xiaojuan and Wang, Liwei and Li, Zeming and Sun, Jian and Jia, Jiaya},
     booktitle = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
     pages = {214--223},
     year = {2021},
   }

3. Tech Report

   Yolox: Exceeding yolo series in 2021

   Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun

   arXiv preprint arXiv:2107.08430 2021

   Bib HTML Code

   @article{ge2021yolox,
     title = {Yolox: Exceeding yolo series in 2021},
     author = {Ge, Zheng and Liu, Songtao and Wang, Feng and Li, Zeming and Sun, Jian},
     journal = {arXiv preprint arXiv:2107.08430},
     year = {2021},
   }

4. CVPR

   Iqdet: Instance-wise quality distribution sampling for object detection

   Yuchen Ma, Songtao Liu, Zeming Li, and Jian Sun

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021

   Bib HTML

   @inproceedings{ma2021iqdet,
     title = {Iqdet: Instance-wise quality distribution sampling for object detection},
     author = {Ma, Yuchen and Liu, Songtao and Li, Zeming and Sun, Jian},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {1717--1725},
     year = {2021},
   }

5. CVPR

   Distribution alignment: A unified framework for long-tail visual recognition

   Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, and Jian Sun

   In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2021

   Bib HTML Code

   @inproceedings{zhang2021distribution,
     title = {Distribution alignment: A unified framework for long-tail visual recognition},
     author = {Zhang, Songyang and Li, Zeming and Yan, Shipeng and He, Xuming and Sun, Jian},
     booktitle = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
     pages = {2361--2370},
     year = {2021},
   }

6. CVPR

   End-to-end object detection with fully convolutional network

   Jianfeng Wang, Lin Song, Zeming Li, Hongbin Sun, Jian Sun, and 1 more author

   In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition 2021

   Bib HTML Code

   @inproceedings{wang2021end,
     title = {End-to-end object detection with fully convolutional network},
     author = {Wang, Jianfeng and Song, Lin and Li, Zeming and Sun, Hongbin and Sun, Jian and Zheng, Nanning},
     booktitle = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
     pages = {15849--15858},
     year = {2021},
   }

7. CVPR

   Generalized few-shot object detection without forgetting

   Zhibo Fan, Yuchen Ma, Zeming Li, and Jian Sun

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021

   Bib HTML Code

   @inproceedings{fan2021generalized,
     title = {Generalized few-shot object detection without forgetting},
     author = {Fan, Zhibo and Ma, Yuchen and Li, Zeming and Sun, Jian},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {4527--4536},
     year = {2021},
   }

8. Tech Report

   Momentum\^ 2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning

   Zeming Li, Songtao Liu, and Jian Sun

   arXiv preprint arXiv:2101.07525 2021

   Bib HTML Code

   @article{li2021momentum,
     title = {Momentum\^{} 2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning},
     author = {Li, Zeming and Liu, Songtao and Sun, Jian},
     journal = {arXiv preprint arXiv:2101.07525},
     year = {2021},
   }

2020

1. Tech Report

   Self-emd: Self-supervised object detection without imagenet

   Songtao Liu, Zeming Li, and Jian Sun

   arXiv preprint arXiv:2011.13677 2020

   Bib HTML

   @article{liu2020self,
     title = {Self-emd: Self-supervised object detection without imagenet},
     author = {Liu, Songtao and Li, Zeming and Sun, Jian},
     journal = {arXiv preprint arXiv:2011.13677},
     year = {2020},
   }

2. Tech Report

   Eqco: Equivalent rules for self-supervised contrastive learning

   Benjin Zhu, Junqiang Huang, Zeming Li, Xiangyu Zhang, and Jian Sun

   arXiv preprint arXiv:2010.01929 2020

   HTML Code
3. NeurIPS

   Fine-grained dynamic head for object detection

   Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, and 2 more authors

   Advances in Neural Information Processing Systems 2020

   Bib HTML Code

   @article{song2020fine,
     title = {Fine-grained dynamic head for object detection},
     author = {Song, Lin and Li, Yanwei and Jiang, Zhengkai and Li, Zeming and Sun, Hongbin and Sun, Jian and Zheng, Nanning},
     journal = {Advances in Neural Information Processing Systems},
     volume = {33},
     pages = {11131--11141},
     year = {2020},
   }

4. NeurIPS

   Rethinking learnable tree filter for generic feature transform

   Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, and 3 more authors

   Advances in Neural Information Processing Systems 2020

   Bib HTML Code

   @article{song2020rethinking,
     title = {Rethinking learnable tree filter for generic feature transform},
     author = {Song, Lin and Li, Yanwei and Jiang, Zhengkai and Li, Zeming and Zhang, Xiangyu and Sun, Hongbin and Sun, Jian and Zheng, Nanning},
     journal = {Advances in Neural Information Processing Systems},
     volume = {33},
     pages = {3991--4002},
     year = {2020},
   }

5. ECCV Oral

   Borderdet: Border feature for dense object detection

   Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, and Jian Sun

   In European Conference on Computer Vision 2020

   Bib HTML Code

   @inproceedings{qiu2020borderdet,
     title = {Borderdet: Border feature for dense object detection},
     author = {Qiu, Han and Ma, Yuchen and Li, Zeming and Liu, Songtao and Sun, Jian},
     booktitle = {European Conference on Computer Vision},
     pages = {549--564},
     year = {2020},
     organization = {Springer},
   }

6. CVPR Oral

   Learning dynamic routing for semantic segmentation

   Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, and 2 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020

   Bib HTML Code

   @inproceedings{li2020learning,
     title = {Learning dynamic routing for semantic segmentation},
     author = {Li, Yanwei and Song, Lin and Chen, Yukang and Li, Zeming and Zhang, Xiangyu and Wang, Xingang and Sun, Jian},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {8553--8562},
     year = {2020},
   }

7. Tech Report

   Autoassign: Differentiable label assignment for dense object detection

   Benjin Zhu, Jianfeng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, and 2 more authors

   arXiv preprint arXiv:2007.03496 2020

   Bib HTML Code

   @article{zhu2020autoassign,
     title = {Autoassign: Differentiable label assignment for dense object detection},
     author = {Zhu, Benjin and Wang, Jianfeng and Jiang, Zhengkai and Zong, Fuhang and Liu, Songtao and Li, Zeming and Sun, Jian},
     journal = {arXiv preprint arXiv:2007.03496},
     year = {2020},
   }

8. Tech Report

   Stitcher: Feedback-driven data provider for object detection

   Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, and 4 more authors

   arXiv preprint arXiv:2004.12432 2020

   Bib HTML

   @article{chen2020stitcher,
     title = {Stitcher: Feedback-driven data provider for object detection},
     author = {Chen, Yukang and Zhang, Peizhen and Li, Zeming and Li, Yanwei and Zhang, Xiangyu and Meng, Gaofeng and Xiang, Shiming and Sun, Jian and Jia, Jiaya},
     journal = {arXiv preprint arXiv:2004.12432},
     volume = {2},
     number = {7},
     pages = {12},
     year = {2020},
   }

2019

1. NeurIPS

   Learnable tree filter for structure-preserving feature transform

   Lin Song, Yanwei Li, Zeming Li, Gang Yu, Hongbin Sun, and 2 more authors

   Advances in neural information processing systems 2019

   Bib HTML Code

   @article{song2019learnable,
     title = {Learnable tree filter for structure-preserving feature transform},
     author = {Song, Lin and Li, Yanwei and Li, Zeming and Yu, Gang and Sun, Hongbin and Sun, Jian and Zheng, Nanning},
     journal = {Advances in neural information processing systems},
     volume = {32},
     year = {2019},
   }

2. ICCV

   ThunderNet: Towards real-time generic object detection on mobile devices

   Zheng Qin, Zeming Li, Zhaoning Zhang, Yiping Bao, Gang Yu, and 2 more authors

   In Proceedings of the IEEE/CVF international conference on computer vision 2019

   Bib HTML

   @inproceedings{qin2019thundernet,
     title = {ThunderNet: Towards real-time generic object detection on mobile devices},
     author = {Qin, Zheng and Li, Zeming and Zhang, Zhaoning and Bao, Yiping and Yu, Gang and Peng, Yuxing and Sun, Jian},
     booktitle = {Proceedings of the IEEE/CVF international conference on computer vision},
     pages = {6718--6727},
     year = {2019},
   }

3. ICCV

   Objects365: A large-scale, high-quality dataset for object detection

   Shuai Shao, Zeming Li, Tianyuan Zhang, Chao Peng, Gang Yu, and 3 more authors

   In Proceedings of the IEEE/CVF international conference on computer vision 2019

   Bib HTML Code

   @inproceedings{shao2019objects365,
     title = {Objects365: A large-scale, high-quality dataset for object detection},
     author = {Shao, Shuai and Li, Zeming and Zhang, Tianyuan and Peng, Chao and Yu, Gang and Zhang, Xiangyu and Li, Jing and Sun, Jian},
     booktitle = {Proceedings of the IEEE/CVF international conference on computer vision},
     pages = {8430--8439},
     year = {2019},
   }

4. Tech Report

   Class-balanced grouping and sampling for point cloud 3d object detection

   Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, and Gang Yu

   arXiv preprint arXiv:1908.09492 2019

   Bib HTML Code

   @article{zhu2019class,
     title = {Class-balanced grouping and sampling for point cloud 3d object detection},
     author = {Zhu, Benjin and Jiang, Zhengkai and Zhou, Xiangxin and Li, Zeming and Yu, Gang},
     journal = {arXiv preprint arXiv:1908.09492},
     year = {2019},
   }

2018

1. NeurIPS

   Metaanchor: Learning to detect objects with customized anchors

   Tong Yang, Xiangyu Zhang, Zeming Li, Wenqiang Zhang, and Jian Sun

   Advances in neural information processing systems 2018

   Bib HTML

   @article{yang2018metaanchor,
     title = {Metaanchor: Learning to detect objects with customized anchors},
     author = {Yang, Tong and Zhang, Xiangyu and Li, Zeming and Zhang, Wenqiang and Sun, Jian},
     journal = {Advances in neural information processing systems},
     volume = {31},
     year = {2018},
   }

2. ECCV

   Detnet: Design backbone for object detection

   Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, and 1 more author

   In Proceedings of the European conference on computer vision (ECCV) 2018

   Bib HTML

   @inproceedings{li2018detnet,
     title = {Detnet: Design backbone for object detection},
     author = {Li, Zeming and Peng, Chao and Yu, Gang and Zhang, Xiangyu and Deng, Yangdong and Sun, Jian},
     booktitle = {Proceedings of the European conference on computer vision (ECCV)},
     pages = {334--350},
     year = {2018},
   }

3. CVPR Spotlight

   Megdet: A large mini-batch object detector

   Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, and 3 more authors

   In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition 2018

   Bib HTML

   @inproceedings{peng2018megdet,
     title = {Megdet: A large mini-batch object detector},
     author = {Peng, Chao and Xiao, Tete and Li, Zeming and Jiang, Yuning and Zhang, Xiangyu and Jia, Kai and Yu, Gang and Sun, Jian},
     booktitle = {Proceedings of the IEEE conference on Computer Vision and Pattern Recognition},
     pages = {6181--6189},
     year = {2018},
   }

4. AAAI Oral

   R-fcn++: Towards accurate region-based fully convolutional networks for object detection

   Zeming Li, Yilun Chen, Gang Yu, and Yangdong Deng

   In Thirty-second AAAI conference on artificial intelligence 2018

   Bib HTML

   @inproceedings{li2018r,
     title = {R-fcn++: Towards accurate region-based fully convolutional networks for object detection},
     author = {Li, Zeming and Chen, Yilun and Yu, Gang and Deng, Yangdong},
     booktitle = {Thirty-second AAAI conference on artificial intelligence},
     year = {2018},
   }

2017

1. Tech Report

   Light-head r-cnn: In defense of two-stage object detector

   Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, and 1 more author

   arXiv preprint arXiv:1711.07264 2017

   Bib HTML Code

   @article{li2017light,
     title = {Light-head r-cnn: In defense of two-stage object detector},
     author = {Li, Zeming and Peng, Chao and Yu, Gang and Zhang, Xiangyu and Deng, Yangdong and Sun, Jian},
     journal = {arXiv preprint arXiv:1711.07264},
     year = {2017},
   }