5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2026
UniSim-SLAM: Feed-Forward SLAM with Unified Sim(3) Optimization
Inha Lee, Dongjae Jeong, Junhee Lee +1
Recent geometric foundation models enable feed-forward inference for SLAM, but their predictions are strongly dependent on the input view set, which leads to geometric inconsistenc…
cs.RO2026
FeDepth: Federated Learning for Depth Estimation under Robot Heterogeneity
Ganghyeon Lee, Inha Lee, Junhee Lee +3
Although recent robot perception research emphasizes training on data from diverse environments to improve generalization, most existing methods still rely on centralized learning,…
cs.RO2024★ 5 cited
A Benchmark Dataset for Collaborative SLAM in Service Environments
Harin Park, Inha Lee, Minje Kim +2
As service environments have become diverse, they have started to demand complicated tasks that are difficult for a single robot to complete. This change has led to an interest in…