Suji Kim — accepted AI-conference papers

2026

Time Without Time: Pseudo-Temporal Representation for Space-Time Super-Resolution

Hee Min Choi, Hyoa Kang, Suji Kim, Dokwan Oh, Nam Ik Cho

CVPR 2026

Space-time video super-resolution (STVSR) is a task aimed at simultaneously upsampling a video in both spatial and temporal dimensions. Previous studies on STVSR have primarily focused on task-specific architectures and modeling paradigms, while effective pretraining strategies remain underexplored.

Cited by 0 Source ↗Scholar ↗

2021

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data

Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan +1

ACL 2021long

Event forecasting is a challenging, yet important task, as humans seek to constantly plan for the future. Existing automated forecasting studies rely mostly on structured data, such as time-series or event-based knowledge graphs, to help predict future events. In this work, we aim to formulate a tas…

Cited by 48 Source ↗PDF ↗Scholar ↗