2 citations · 3 across the 4 of their papers we have counts for
4 papers
E2-BKI: Evidential Ellipsoidal Bayesian Kernel Inference for Uncertainty-aware Gaussian Semantic Mapping
Junyoung Kim, Minsik Jeon, Jihong Min +2
Semantic mapping aims to construct a 3D semantic representation of the environment, providing essential knowledge for robots operating in complex outdoor settings. While Bayesian K…
Crafting Query-Aware Selective Attention for Single Image Super-Resolution
Junyoung Kim, Youngrok Kim, Siyeol Jung +1
Single Image Super-Resolution (SISR) reconstructs high-resolution images from low-resolution inputs, enhancing image details. While Vision Transformer (ViT)-based models improve SI…
Uncertainty-aware Semantic Mapping in Off-road Environments with Dempster-Shafer Theory of Evidence
Junyoung Kim, Junwon Seo
Semantic mapping with Bayesian Kernel Inference (BKI) has shown promise in providing a richer understanding of environments by effectively leveraging local spatial information. How…
Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference
Junyoung Kim, Junwon Seo, Jihong Min
Robotic mapping with Bayesian Kernel Inference (BKI) has shown promise in creating semantic maps by effectively leveraging local spatial information. However, existing semantic map…