activity
20202026
most citedSkateFormer: Skeletal-Temporal Transformer for Human Action Recognition

3 citations · 3 across the 7 of their papers we have counts for

collaborators

14 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

PAN-Crafter: Learning Modality-Consistent Alignment for PAN-Sharpening

Jeonghyeok Do, Sungpyo Kim, Geunhyuk Youk +2

PAN-sharpening aims to fuse high-resolution panchromatic (PAN) images with low-resolution multi-spectral (MS) images to generate high-resolution multi-spectral (HRMS) outputs. Howe…

cs.CV2024

U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening

Sungpyo Kim, Jeonghyeok Do, Jaehyup Lee +1

Conventional methods for PAN-sharpening often struggle to restore fine details due to limitations in leveraging high-frequency information. Moreover, diffusion-based approaches lac…

cs.CV2024

C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation

Jeonghyeok Do, Jaehyup Lee, Munchurl Kim

Synthetic Aperture Radar (SAR) imagery provides robust environmental and temporal coverage (e.g., during clouds, seasons, day-night cycles), yet its noise and unique structural pat…

cs.CV2024

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition

Jeonghyeok Do, Munchurl Kim

In zero-shot skeleton-based action recognition (ZSAR), aligning skeleton features with the text features of action labels is essential for accurately predicting unseen actions. ZSA…

cs.CV2024★ 3 cited

SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition

Jeonghyeok Do, Munchurl Kim

Skeleton-based action recognition, which classifies human actions based on the coordinates of joints and their connectivity within skeleton data, is widely utilized in various scen…

cs.CV2020

NTIRE 2020 Challenge on NonHomogeneous Dehazing

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu +49

This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results e…