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Integrated Intelligent Media Lab
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A lab that investigates whether AI truly understands the meaning of images and videos.
AboutAbout the lab
Does AI truly understand the meaning of videos and images?
The Integrated Intelligent Media Lab (Nakashima Lab) conducts research to clarify whether artificial intelligence truly understands the meaning of images and videos.
Believing that understanding the meaning of images and videos is deeply tied to their correspondence with natural language, the lab also works broadly on Vision and Language research that combines the two.
The lab also conducts applied research that makes advanced use of images and videos by leveraging large language models and similar tools.
Key terms
- Computer vision
- Technology and a research field in which computers read images and videos and understand their contents
- Vision and Language
- A research field that handles images and videos together with natural language
- Large language model
- An AI model that learns from large amounts of text and can understand and generate text
NewsLab news
Explained how to join the lab, for students who wish to be assigned to it
Paper accepted at CVPR 2026, a computer vision conference
Paper accepted at ICLR 2026, a representation learning conference
Paper accepted at AAAI 2026, an AI conference
ResearchResearch themes
The lab's research centers on clarifying whether AI truly understands the meaning of images and videos. The research page introduces image and video generation, 3D reconstruction, applications to animals and plants, and AI bias.
Image and video generation and editing
The lab studies generating and editing images and videos using diffusion models and other methods. The field is already very actively researched, but the lab considers that there is still more to be done.
*Illustrative imageReconstructing 3D shape, structure, and appearance
The lab works on reconstructing the 3D shape, structure, and photorealistic appearance of target objects from images.
*Illustrative imageComputer vision for animals and plants
The lab studies computer vision technologies for animals and plants that are useful for smart agriculture, life sciences, and more.
*Illustrative imageAI bias and its mitigation
Neural networks sometimes achieve high accuracy on a target task by relying on superficial correlations, which leads to bias. The lab studies this bias and how to reduce it.
MembersFaculty
The members of the Integrated Intelligent Media Lab (Nakashima Lab) consist of faculty, project researchers, visiting researchers, doctoral, master's, and undergraduate students, and administrative assistants.As of 2026
- ProfessorYuta Nakashima
- Associate ProfessorFumio Okura
VoicesStudent voices
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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: “Artificial Worldviews Mapping ChatGPT” Kimfalbrecht / CC BY-SA 4.0 (cropped)
- Reconstructing 3D shape, structure, and appearance: “Rilievo con laser scanner 3” DaddabboA / Public domain (cropped)
- Computer vision for animals and plants: “Banana Plant Flask by Max Gruber” Max Gruber / CC BY 4.0 (cropped)
- AI bias and its mitigation: “1D Convolutional Neural Network feed forward example” User:Vichoko / CC BY-SA 4.0 (cropped)
- Related lab (量子システム創成研究分野
（大岩研） ): “New Quantum Dot Transistor Counts Individual Photons ( )” National Institute of Standards and Technology / Public domain (cropped) - Related lab (知識科学研究分野
（駒谷研） ): “Arxiu audio” Jordi R. / CC BY 3.0 (cropped) - Related lab (知能推論研究分野
（清水研） ): “Domino” Dietmar Rabich / CC BY-SA 4.0 (cropped) - Related lab (界面量子科学研究分野
（千葉研） ): “Magnetic Sensor ( )” National Institute of Standards and Technology / Public domain (cropped)
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