Taehyeong Kim
Biointelligence Lab (BI)
Interdisciplinary Program in Cognitive Science
Seoul National University
Seoul 08826, Republic of Korea
  • Office : 417, Bldg. 138
  • E-mail : thkim@bi.snu.ac.kr
* Last updated on Mar. 1, 2019
I am a student studying for a Ph.D. degree under the guidance of Prof. Byoung-Tak Zhang in School of Computer Science and Engineering at SNU. I worked as a Senior Research Engineer in the Artificial Intelligence Lab. at LG Electronics.
  • Vision and language understanding
  • Intrinsically motivated learning system
  • Visual storytelling
  • H. Ko, T. Kim, K. J. Ihm and H. Kim, "Building Cost-effective Model For Predicting Beta-amyloid Burden by Combination of Cortical Thickness, Volume, and Neuropsychological Assessment Measures," 2018 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, 2018, pp. 432-435.
  • T. Kim, M.-O. Heo, S. Son, K.-W. Park, and B.-T. Zhang, "GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation", NAACL 2018 Workshop on Storytelling, 2018. (The 1st place in Visual Storytelling Challenge 2018, unofficial) [arXiv][code]
  • T. Kim, M.-O. Heo and B.-T. Zhang, "Simple Attention Mechanism for Story Generation from Sequence of Images", Korea Computer Congress 2018 (KCC 2018), pp. 1095-1097, 2018.
  • S. Son, T. Kim and B.-T. Zhang, "Designing Neural Storyteller by Image Context Embedding", Korea Computer Congress 2018 (KCC 2018), pp. 1027-1029, 2018.