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Okatani-Hosoya-Tran Lab
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The lab works on computer vision, enabling computers to understand images and video.
AboutAbout the lab
Toward AI that looks at images and understands their content.
The Okatani-Hosoya-Tran Lab studies computer vision, which extracts meaning from images and video.
Using deep learning, the lab works on object detection, image segmentation, camera localization, and related problems.
The lab is also advancing table reading and disaster image analysis with multimodal AI, which processes language and images together.
It also studies real-world applications, including inspection of industrial products, bridge inspection, and driving hazard prediction.
Key terms
- Object detection
- A technology that finds objects in an image and identifies their type
- Self-supervised learning
- A method in which a model learns how to capture features from large amounts of images without correct-answer labels
- Multimodal AI
- AI that can handle different types of information, such as images and text, together
ResearchResearch themes
The lab studies methods that let computers recognize images and video and understand their content. Its work ranges widely, from multimodal AI combined with large language models to object detection, video super-resolution, and anomaly detection.
*Illustrative imageAI that reads images of tables
Tables embedded in PDFs and slides must be interpreted as images, including the arrangement of rows and columns and the positions of cells. The lab proposed a framework in which a large language model generates reasoning and Python code, the code is executed to verify correctness, and only the verified examples are used for training.
*Illustrative imageSelf-supervised learning for object detection
Early self-supervised learning focused on features of the whole image, and could not adequately learn the position-dependent local features that object detection requires. The lab proposes a new method built on the Vision Transformer.
*Illustrative imageHow to detect unknown objects
Open-set object detection treats objects not seen during training as "unknown" when it encounters them. The lab pointed out a problem with its underlying assumption about what counts as an object in the first place, and proposed a new problem setting.
*Illustrative imageLandslide image analysis and disaster risk assessment
Assessing a landslide site requires specialized knowledge, and few experts are able to carry out field surveys. The lab built a system that combines a large language model with image recognition to describe, in words, the observations, the estimated causes, and the future risks from disaster images.
MembersFaculty
Members of the Okatani-Hosoya-Tran Lab include faculty, researchers, and doctoral and master's students.As of 2026
- ProfessorTakayuki Okatani
- Assistant ProfessorYusuke Hosoya
- Assistant ProfessorTabe Jamaat Golsa
- Assistant ProfessorTran Thi Thanh Huyen
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Computer Lab Baraboo” JackFromWisconsin / CC0 (cropped)
- AI that reads images of tables: “WikiProject Smithsonian AWHI Mary Vaux Walcott Illustrations Edit-a-thon - spreadsheet 01” Fuzheado / CC BY-SA 4.0 (cropped)
- Self-supervised learning for object detection: “Ceci n'est pas une banane by Max Gruber” Max Gruber / CC BY 4.0 (cropped)
- How to detect unknown objects: “Automatix AV5 in lab.agr” ArnoldReinhold / CC BY-SA 4.0 (cropped)
- Landslide image analysis and disaster risk assessment: “Truck caught in a landslide, Hunza” Shaun D Metcalfe away in Thailand / CC BY 2.0 (cropped)
- Related lab (Hitomi-Nogami Lab): “Silicon wafer researcher” U.S. Department of Energy / Public domain (cropped)
- Related lab (Biwa Lab): “Flame-tube-resonance-overlay” MikeRun / CC BY-SA 4.0 (cropped)
- Related lab (Shoji Lab): “150 deg water contact angle” Plasmatreat Khoren / CC BY 3.0 (cropped)
- Related lab (Kikuchi Lab): “Garfield X-ray machine 2” Harris & Ewing, photographer / Public domain (cropped)
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