Minseo Jeon

OverviewAI-generated summary

Minseo Jeon's research focuses on the application of machine learning and computer vision techniques to complex data representation and interaction challenges. Recent work includes the development of algorithms for autonomous navigation, such as the MOANA dataset for maritime applications, and methods for generating driving scenarios using latent diffusion models. Jeon has also investigated efficient methods for learning representations in signed bipartite graphs and creating compact 3D representations using Gaussian techniques (C3G).

Further research explores human-computer interaction and sensory feedback, including techniques for bare-hand 3D portal creation and manipulation in virtual reality (Portallite) and enhancing self-haptic interactions through skin softness perception (SkinHaptics). Jeon also examines personalized recommendation systems, specifically focusing on cascading behavior graphs for accurate multi-behavior recommendations. Collaborations include work with Dongje Lee, Hanguen Kim, Jin‐Bum Park, and Yong-Jin Kim, all from Hendrix College.

Metrics

• h-index: 2
• Publications: 12
• Citations: 7