Huan Ling


  • I am a grad student at University of Toronto, machine learning group and Vector Institute. I am also a Machine Learning Researcher at NVIDIA Toronto AI Lab.
  • My advisor is Prof. Sanja Fidler.



    • Recent Activities
    • Serve as reviewer of International Conference on Computer Vision (ICCV),Seoul, South Korea,2019.
    • Serve as reviewer of Conference on Computer Vision and Pattern Recognition(CVPR), Long Beach, US, 2019.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

  • Wenzheng Chen, Jun Gao*, Huan Ling*, Edward J. Smith*, Jaakko Lehtinen Alec Jacobson Sanja Fidler (*: equally contributed)
  • Download Paper
  • Project Page
  • Paper accepted by Neural Information Processing Systems(NeurIPS), Vancouver, CA, 2019

  • Object Instance Annotation with Deep Extreme Level Set Evolution

  • Zian Wang, David Acuna*, Huan Ling*, Amlan Kar, Sanja Fidler (*: equally contributed)
  • Download Paper
  • Code: Coming Soon
  • Paper accepted by Conference on Computer Vision and Pattern Recognition(CVPR), Long Beach, US, 2019

  • Fast Interactive Object Annotation with Curve-GCN

  • Huan Ling*, Jun Gao*, Amlan Kar, Wenzheng Chen, Sanja Fidler (*: equally contributed)
  • Download Paper
  • Code
  • Paper accepted by Conference on Computer Vision and Pattern Recognition(CVPR), Long Beach, US, 2019

  • Adversarial Contrastive Estimation (oral presentation)

    Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++

  • David Acuna*, Huan Ling*, Amlan Kar*, Sanja Fidler (*: equally contributed)
  • Demo Video
  • Download Paper
  • Paper accepted by Conference on Computer Vision and Pattern Recognition(CVPR), Salt Lake City, US, 2018

  • Teaching Machines to Describe Images with Natural Language Feedback

  • Huan Ling, Sanja Fidler
  • Project Page
  • Download Paper: arXiv preprint, May 2017
  • Paper accepted by Neural Information Processing Systems(NIPS), Long Beach, US, 2017