Hascoet Tristan

Master of Engineering
(Telecommunication department of National Institute of Applied Sciences, Lyon)
教員のメールアドレス(画像)

Title

Assistant Professor of Engineering

Specialized Fields

Deep Learning, Computer Vision Applications

Fields of Interest

My Ph.D. thesis focused on the problem of Zero-Shot Recognition of generic objects which has led me to take interest on representation learning of both visual and semantic information.

Previous collaborations have also led me to study a variety of deep learning applications to computer vision problems, including neurite segmentation from electron microscopy images, satellite image segmentation, and wildlife monitoring applications.

Current Research

Articles in Refereed Journal

  • “Semantic embeddings of generic objects for zero-shot learning”, EURASIP journal on Image and Video Processing, (Under review). (co-authored with Yasuo Ariki, Tetsuya Takiguchi)
  • “Zero-Shot learning using dictionary definitions”, International Workshop on Frontiers of Computer Vision, 4 pages, 2018. (co-authored with Yasuo Ariki, Tetsuya Takiguchi)
  • “Satellite Image Semantic Segmentation Using Fully Convolutional Network”, International Workshop on Frontiers of Computer Vision, 4 pages, 2018. (co-authored with Atsushi Yoshihara, Tetsuya Takiguchi, Yasuo Ariki)
  • “An investigation of the correlations between CNN visual features and word embeddings”, 2nd Workshop on closing loop between vision and language, IEEE International Conference on Computer Vision (ICCV-2017), Italy, Venice, 2017. (co-authored with Yasuo Ariki, Tetsuya Takiguchi)
  • “Semantic Web and Zero-Shot Learning of Large Scale Visual Classes”, First International Workshop on Symbolic-Neural Learning (SNL-2017) , 6 pages, 2017. (co-authored with Yasuo Ariki, Tetsuya Takiguchi)
  • “Caching support for skyline query processing with partially ordered domains”, IEEE Transactions on knowledge and data engineering, vol. 26, issue 11, pp. 2649-2661, 2014. (co-authored with Yuling Hsueh)