publications

Publications by categories in reversed chronological order. Full list can be found at Google Scholar.

2022

  1. Tech Report
    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
  2. 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
  3. 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
  4. 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

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
  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
  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
  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
  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
  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
  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
  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

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
  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
  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
  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
  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
  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
  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
  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

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
  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
  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
  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

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
  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
  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
  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

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