2 citations · 2 across the 5 of their papers we have counts for
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RYOPO: Bringing End-to-End Category-Level Object Pose Estimation into Real Time
Hakjin Lee, Junghoon Seo, Jaehoon Sim
Category-level object pose estimation predicts the rotation, translation, and metric size of unseen instances within known categories. Many accurate RGB-D methods rely on external…
You Only Pose Once: A Minimalist's Detection Transformer for Monocular RGB Category-level 9D Multi-Object Pose Estimation
Hakjin Lee, Junghoon Seo, Jaehoon Sim
Accurately recovering the full 9-DoF pose of unseen instances within specific categories from a single RGB image remains a core challenge for robotics and automation. Most existing…
Masked Autoregressive Model for Weather Forecasting
Doyi Kim, Minseok Seo, Hakjin Lee +1
The growing impact of global climate change amplifies the need for accurate and reliable weather forecasting. Traditional autoregressive approaches, while effective for temporal mo…
Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations
Keumgang Cha, Donggeun Yu, Junghoon Seo
The prominence of generalized foundation models in vision-language integration has witnessed a surge, given their multifarious applications. Within the natural domain, the procurem…
Prototype-oriented Unsupervised Change Detection for Disaster Management
Youngtack Oh, Minseok Seo, Doyi Kim +1
Climate change has led to an increased frequency of natural disasters such as floods and cyclones. This emphasizes the importance of effective disaster monitoring. In response, the…