Inagaki Yousuke
Papers
1
Total Citations
3
H-Index
1
About
Yousuke Inagaki is a researcher in computer vision and robotics, with a focus on object-level scene understanding and image retrieval. His work addresses the challenge of enabling robots to recognize and match environments using semantic, compact representations of visual scenes. In his notable 2013 paper, "Common Landmark Discovery for Object-Level View Image Retrieval," Inagaki introduced the "Bag-of-Bounding-Boxes" framework, which models scenes by detecting and matching landmark objects from a pretrained detector pool. This approach improves the efficiency and robustness of robot vision systems by moving beyond low-level features to object-level scene matching. Though the paper has accumulated 3 citations, its conceptual contribution lies in bridging object detection and place recognition for autonomous navigation. Inagaki’s research is particularly relevant for applications in mobile robotics, where reliable scene recognition is critical for localization and mapping. His work represents a step toward more intelligent, semantically aware visual systems that can interpret environments as collections of meaningful objects rather than unstructured pixels.
Research Focus
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Top Papers
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