Hojin Yoo
I'm a second-year Master's student at The Ohio State University fortunately advised by Arnab Nandi. I'm broadly interested in multimodal data management, human-computer interaction, foundation model, and computer vision.
Previously, I received my M.E. and B.E. degrees from Incheon National University with Kyungkoo Jun.
CV /
Scholar /
LinkedIn /
Github
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Emojis in Autocompletion: Enhancing Video Search with Visual Query Suggestions
Hojin Yoo,
Arnab Nandi
demo
Integrating emojis into autocompletion enhances video search by visually representing search phrases, leveraging Large Language Models to reduce user effort in query formulation.
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Guided Querying over Videos using Autocompletion Suggestions
Hojin Yoo,
Arnab Nandi
HILDA, 2024  
paper
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project page
An innovative approach to constructing video search autocompletion: generating suggestions by leveraging Vision Language Models for more intuitive querying.
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Point Cloud Classification by Domain Adaptation Using Recycling Max Pooling and Cutting Plane Identification
Hojin Yoo,
Kyungkoo Jun
Sensors, 2023  
paper
Leveraging recycling max pooling and cutting plane identification enables the domain adaptation model to improve point cloud classification accuracy.
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Deep corner prediction to rectify tilted license plate images
Hojin Yoo,
Kyungkoo Jun
Multimedia Systems, 2021  
paper
Deep learning models can be trained to predict the four corners of tilted license plates, enabling efficient image rectification and improved recognition.
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Deep Homography for License Plate Detection
Hojin Yoo,
Kyungkoo Jun
Information, 2020  
paper
Predicting four corners of tilted license plates enables deep homography models to rectify plates and improve recognition accuracy.
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