Seong Hyeon Park

Seong Hyeon Park

Ph.D. Student



I focus on multimodal representation learning. Much interest of mine is on capturing complementary interactions between texts and vision with temporal actions. I also study a multimodal learning model’s sense of uncertainty under the variations in data quality. As for my academic career, I am a Ph.D. student member of Algorithmic Intelligence Laboratory @ the KAIST AI, advised by Dr. Jinwoo Shin. Previously, I graduated from Hanyang University with M.S. and B.S degrees under Dr. Jun-Won Choi, where I studied machine learning models for motion forecasting. Please find my CV for more details!

  • Deep Learning
  • Multimodal Representation
  • Predictive Uncertainty
  • M.S. in Electrical Engineering, 2020

    Hanyang University

  • B.S. in Electrical Engineering, 2018

    Hanyang University

Recent Publications

(2021). LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. In CVPR 2021.

Cite arXiv

(2020). Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding. In ECCV 2020.

Cite Code Slides Video DOI

(2018). Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture. In IEEE IV'18.

Cite Video DOI