Sequence-to-sequence prediction of vehicle trajectory via LSTM encoder-decoder architecture SH Park, BD Kim, CM Kang, CC Chung, JW Choi 2018 IEEE intelligent vehicles symposium (IV), 1672-1678, 2018 | 569 | 2018 |
Diverse and admissible trajectory forecasting through multimodal context understanding SH Park, G Lee, J Seo, M Bhat, M Kang, J Francis, A Jadhav, PP Liang, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 123 | 2020 |
Lapred: Lane-aware prediction of multi-modal future trajectories of dynamic agents BD Kim, SH Park, S Lee, E Khoshimjonov, D Kum, J Kim, JS Kim, JW Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 103 | 2021 |
K-centered Patch Sampling for Efficient Video Recognition SH Park, J Tack, B Heo, JW Ha, J Shin European Conference on Computer Vision, 160-176, 2022 | 14 | 2022 |
Ifseg: Image-free semantic segmentation via vision-language model S Yun, SH Park, PH Seo, J Shin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
Semi-supervised tabular classification via in-context learning of large language models J Nam, W Song, SH Park, J Tack, S Yun, J Kim, J Shin Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | 7 | 2023 |
MC2: Multi-view Consistent Depth Estimation via Coordinated Image-based Neural Rendering S Kim, SH Park, S Yu, K Sohn, J Shin CVPR workshop on neural rendering intelligence, 2024 | 1 | 2024 |
Tabular Transfer Learning via Prompting LLMs J Nam, W Song, SH Park, J Tack, S Yun, J Kim, KH Oh, J Shin arXiv preprint arXiv:2408.11063, 2024 | | 2024 |
Vehicle trajectory prediction system and method based on modular recurrent neural network architecture JW Choi, SH Park, BD Kim KR Patent https://patents.google.com/patent/KR101951595B1/en?oq=KR101951595B1, 2019 | | 2019 |