Siyuan Qiao

Research Scientist, Google Brain

I am currently a Research Scientist at Google Brain. Before joining Google, I obtained my Ph.D. in 2021 from the Department of Computer Science, Johns Hopkins University, advised by Bloomberg Distinguished Professor Alan Yuille. I obtained my B.Sc. degree in 2016 from Shanghai Jiao Tong University.

My research interest is computer vision with focuses on image recognition with limited data, object detection, and instance segmentation. I’ve been really fortunate to have worked with great research scientists from YITU, Baidu IDL, Adobe, and Google.

news

Mar 2, 2022 2 papers accepted to CVPR 2022.
Feb 28, 2021 3 papers accepted to CVPR 2021.
Dec 10, 2020 Check out our ViP-DeepLab on Depth-aware Video Panoptic Segmentation.
Jun 3, 2020 Check out our DetectoRS: 55.7% box AP, 48.5% mask AP, and 50.0% PQ on COCO.

selected publications

  1. CVPR
    ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
    Qiao, Siyuan, Zhu, Yukun, Adam, Hartwig, Yuille, Alan, and Chen, Liang-Chieh
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2021
    PDF Code Video
  2. CVPR
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
    Qiao, Siyuan, Chen, Liang-Chieh, and Yuille, Alan
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2021
    PDF Code
  3. CVPR Oral
    Neural Rejuvenation: Improving deep network training by enhancing computational resource utilization
    Qiao, Siyuan, Lin, Zhe, Zhang, Jianming, and Yuille, Alan L
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2019
    PDF Code
  4. CVPR Spotlight
    Few-shot image recognition by predicting parameters from activations
    Qiao, Siyuan, Liu, Chenxi, Shen, Wei, and Yuille, Alan L
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2018
    PDF Code