NEWS  |  MERL researchers presenting four papers and organizing two workshops at CVPR 2020 conference

Date released: June 15, 2020


  •  NEWS   MERL researchers presenting four papers and organizing two workshops at CVPR 2020 conference
  • Date:

    June 14, 2020 - June 19, 2020

  • Description:

    MERL researchers are presenting four papers (two oral papers and two posters) and organizing two workshops at the IEEE/CVF Computer Vision and Pattern Recognition (CVPR 2020) conference.

    CVPR 2020 Orals with MERL authors:
    1. "Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction," by Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
    2. "Collaborative Motion Prediction via Neural Motion Message Passing," by Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu

    CVPR 2020 Posters with MERL authors:
    3. "LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood," by Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng
    4. "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps," by Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas

    CVPR 2020 Workshops co-organized by MERL researchers:
    1. Fair, Data-Efficient and Trusted Computer Vision
    2. Deep Declarative Networks.

  • MERL Contacts:
  • External Link:

    http://cvpr2020.thecvf.com/

  • Research Areas:

    Artificial Intelligence, Computer Vision, Machine Learning

    •  Li, M., Chen, S., Zhao, Y., Zhang, Y., Wang, Y., Tia, Q., "Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
      BibTeX TR2020-073 PDF
      • @inproceedings{Li2020jun,
      • author = {Li, Maosen and Chen, Sihen and Zhao, Yangheng and Zhang, Ya and Wang, Yanfeng and Tia, Qi},
      • title = {Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-073}
      • }
    •  Hu, Y., Chen, S., Zhang, Y., Gu, X., "Collaborative Motion Prediction via Neural Motion Message Passing", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
      BibTeX TR2020-072 PDF
      • @inproceedings{Hu2020jun,
      • author = {Hu, Yue and Chen, Siheng and Zhang, Ya and Gu, Xiao},
      • title = {Collaborative Motion Prediction via Neural Motion Message Passing},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-072}
      • }
    •  Wu, P., Chen, S., "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
      BibTeX TR2020-068 PDF Software
      • @inproceedings{Wu2020jun,
      • author = {Wu, Pengxiang and Chen, Siheng},
      • title = {MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-068}
      • }
    •  Kumar, A., Marks, T., Mou, W., Wang, Y., Cherian, A., Jones, M.J., Liu, X., Koike-Akino, T., Feng, C., "LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
      BibTeX TR2020-067 PDF Video Data Software
      • @inproceedings{Kumar2020jun,
      • author = {Kumar, Abhinav and Marks, Tim and Mou, Wenxuan and Wang, Ye and Cherian, Anoop and Jones, Michael J. and Liu, Xiaoming and Koike-Akino, Toshiaki and Feng, Chen},
      • title = {LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2020,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2020-067}
      • }