AWARD    MERL Researchers win Best Paper Award at ICCV 2019 Workshop on Statistical Deep Learning in Computer Vision

Date:

October 27, 2019

Awarded to:

Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu

Description:

MERL researcher Tim Marks, former MERL interns Abhinav Kumar and Wenxuan Mou, and MERL consultants Professor Chen Feng (NYU) and Professor Xiaoming Liu (MSU) received the Best Oral Paper Award at the IEEE/CVF International Conference on Computer Vision (ICCV) 2019 Workshop on Statistical Deep Learning in Computer Vision (SDL-CV) held in Seoul, Korea. Their paper, entitled "UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss," describes a method which, given an image of a face, estimates not only the locations of facial landmarks but also the uncertainty of each landmark location estimate.

External Link:

http://www.sdlcv-workshop.com

Research Areas:

Artificial Intelligence, Computer Vision, Machine Learning

• Related Publications

   Marks, T.K., Kumar, A., Mou, W., Feng, C., Liu, X., "UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss", IEEE International Conference on Computer Vision (ICCV) Workshop on Statistical Deep Learning for Computer Vision (SDL-CV), DOI: 10.1109/​ICCVW.2019.00103, October 2019, pp. 778-782.

  BibTeX TR2019-117 PDF Data Software

  • @inproceedings{Marks2019oct,
  • author = {Marks, Tim K. and Kumar, Abhinav and Mou, Wenxuan and Feng, Chen and Liu, Xiaoming},
  • title = {UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss},
  • booktitle = {IEEE International Conference on Computer Vision (ICCV) Workshop on Statistical Deep Learning for Computer Vision (SDL-CV)},
  • year = 2019,
  • pages = {778--782},
  • month = oct,
  • publisher = {IEEE},
  • doi = {10.1109/ICCVW.2019.00103},
  • url = {https://www.merl.com/publications/TR2019-117}
  • }