3 citations · 3 across the 7 of their papers we have counts for
8 papers · 1 filter
SkillCycle: Co-Evolving Agent Policies and Skill Banks
Ling Li, Qiuyu Shen, Zheng Jiang +3
Internalizing external skills changes a language agent's capabilities and, with them, the value of its remaining guidance: rules can become redundant, misleading, or insufficient f…
GeoSET: Generalist Foundation Model for SAR-to-EO Image Translation
Jeonghyeok Do, Munchurl Kim
Paired synthetic aperture radar (SAR) and electro-optical (EO) imagery is increasingly available across sensors, resolutions, and geographic regions. Yet existing SAR-to-EO image t…
MotionMaestro: Masked Tokenization for Unified Motion Generation
Yun Chen, Munchurl Kim, Jeonghyeok Do
Human motion generation plays an important role in applications such as character animation, virtual environments, and embodied interaction. While existing approaches have achieved…
GeoCR: Learning a Generalist Cloud Removal Prior from Heterogeneous Observations
Jeonghyeok Do, Munchurl Kim
Cloud removal methods are typically specialized to individual datasets and input configurations, limiting reuse across sensors, spectral bands, and observation settings. We introdu…
One for All: Generalist Foundation Model for Cross-Sensor Skeleton Representation Learning
Jeonghyeok Do, Yun Chen, Munchurl Kim
For learning generalizable motion representations from large-scale unlabeled data, Self-supervised learning (SSL) has become a widely adopted methodology. However, existing approac…
ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image Translation
Jeonghyeok Do, Seungchul Lee, Munchurl Kim
SAR-to-EO image translation aims to generate electro-optical (EO) imagery from synthetic aperture radar (SAR) observations. Existing latent diffusion approaches typically inherit a…
GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation
Jeonghyeok Do, Munchurl Kim
Existing generative models for earth observation (EO) predominantly rely on fine-tuning natural image priors, which limits their scalability and introduces perspective biases that…
AVSR-Diff: Scale-Agnostic Diffusion Priors for Temporally Consistent Arbitrary-Scale Video Super-Resolution
Geunhyuk Youk, Jeonghyeok Do, Dayeon Kim +2
Diffusion models have significantly advanced video super-resolution (VSR) but remain largely constrained to fixed upsampling scales. Conversely, while coordinate-based arbitrary-sc…