Welcome to Reuben Tan's web page

Reuben joined the Image and Video Computing group as a PhD student in 2018. He is fortunate to be advised by Professors Kate Saenko and Bryan Plummer. His primary research interests lie in applications of machine learning in vision-language tasks and video understanding.

Publications

  • Learning Similarity Conditions Without Explicit Supervision [paper] [bibtex]
    Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer

    The IEEE International Conference on Computer Vision (ICCV), 2019.

  • Language Features Matter: Effective Language Representations for Vision-Language Tasks. [paper] [bibtex]
    Andrea Burns and Reuben Tan and Kate Saenko and Stan Sclaroff and Bryan A. Plummer

    The IEEE International Conference on Computer Vision (ICCV), 2019.

  • Preprints

  • wMAN: Weakly-supervised Moment Alignment Network for Text-based Video Segment Retrieval. [paper] [bibtex]
    Reuben Tan and Huijuan Xu and Kate Saenko and Bryan A. Plummer

    arXiv:1909.13784, 2019.