3 papers
cs.CV2025
Surface-Based Visibility-Guided Uncertainty for Continuous Active 3D Neural Reconstruction
Hyunseo Kim, Hyeonseo Yang, Taekyung Kim +4
View selection is critical in active 3D neural reconstruction as it impacts the contents of training set and resulting final output quality. Recent view selection strategies emphas…
cs.CV2025
OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference
Won-Seok Choi, Dong-Sig Han, Suhyung Choi +2
We present the Object-Based Sub-Environment Recognition (OBSER) framework, a novel Bayesian framework that infers three fundamental relationships between sub-environments and their…
cs.LG2025
From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning
Junseok Park, Hyeonseo Yang, Min Whoo Lee +3
Reinforcement learning (RL) agents often face challenges in balancing exploration and exploitation, particularly in environments where sparse or dense rewards bias learning. Biolog…