• Task Spooler

    Duc Nguyen

    This post will introduce Task Spooler, a tool to manage tasks on Linux, and show how to use it to perform deep learning experiments.

  • Multiple Arbitrary Style Transfer

    Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, and Sanghoon Lee

    IEEE International Conference on Acoustics, Speech, and Signal Processing 2019 (ICASSP 2019)

    We proposed a simple method for multiple and arbitrary style transfer.

  • Distribution Padding

    Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, Jinwoo Kim, Sewoong Ahn, and Sanghoon Lee

    IEEE Conference on Image Processing 2019 (ICIP 2019)

    We proposed a new padding method that preserves the distribution of the image border regions, which are not guaranteed by existing methods.

  • Graphx Convolution

    Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, and Sanghoon Lee

    International Conference on Computer Vision (ICCV 2019)

    This paper addresses the single image 3D reconstruction problem, in which given a 2D image, we generate a 3D point cloud representation of the object in the image.