Welcome
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!
Interests
- Deep Learning
- Multimodal Representation
- Predictive Uncertainty
Education
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.
(2020).
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding.
In ECCV 2020.
(2018).
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture.
In IEEE IV'18.
![[Video] Oral Session at IV'18](/post/iv-oral-session/featured_hubc0479d813a3394599fd63073b6348c1_1439305_150x0_resize_lanczos_2.png)