2 papers
cs.CV2026
Continuous Degradation Modeling via Latent Flow Matching for Real-World Super-Resolution
Hyeonjae Kim, Dongjin Kim, Eugene Jin +1
While deep learning-based super-resolution (SR) methods have shown impressive outcomes with synthetic degradation scenarios such as bicubic downsampling, they frequently struggle t…
cs.LG2025
CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows
Hyeonjae Kim, Chenyue Li, Wen Deng +4
Climate science demands automated workflows to transform comprehensive questions into data-driven statements across massive, heterogeneous datasets. However, generic LLM agents and…