Seok Bong Yoo
Papers
3
Total Citations
23
H-Index
3
About
Seok Bong Yoo is a leading researcher at the intersection of computer vision and robotics, specializing in action recognition, visual perception for autonomous systems, and robust infrastructure inspection. His work addresses critical challenges in enabling machines to understand and interact with dynamic environments. Yoo’s major contributions include pioneering novel transformer architectures for action recognition. His highly cited work, *Fluxformer* (2023, 12 citations), introduced a flow-guided duplex attention mechanism with spatio-temporal clustering, significantly improving efficiency and accuracy for robotics applications. He further advanced the field with *Occluded Part-aware Graph Convolutional Networks* (2024, 7 citations), tackling the persistent problem of occlusion in skeleton-based action recognition—a key hurdle for real-world robotic perception. Demonstrating the breadth of his impact, Yoo also developed *AuxCoFormer* (2024, 4 citations), an auxiliary and contrastive transformer that achieves robust crack detection in adverse weather, directly supporting automated civil infrastructure maintenance and safe autonomous vehicle navigation. Through these innovations, Yoo is shaping the future of intelligent, perception-driven robotics.
Research Focus
Key Achievements
Top Papers
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