Computational Intelligence & PhotographyLab

Prof. Seon Joo Kim


Engineering Hall 4, Room 707

Lab Introduction

My research focuses on multiple aspects of photography - from capturing images, processing and editing images, and to managing and interacting with photographs. The vision is to integrate different areas of computer science - computer vision, computer graphics, computational photography, and machine learning - to enhance multiple aspects of the photography culture.

Research field
Computer vision Computer graphics Computational photography Machine learning
Representative Papers
  • Jo, Y., Oh, S. W., Kang, J., & Kim, S. J. (2018). Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3224-3232).
  • Oh, S. W., Lee, J. Y., Xu, N., & Kim, S. J. (2019). Video object segmentation using space-time memory networks. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 9226-9235).
  • Nam, S., Kim, Y., & Kim, S. J. (2018). Text-adaptive generative adversarial networks: manipulating images with natural language. Advances in neural information processing systems, 31.