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Nakashima Lab
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A lab exploring artificial intelligence that truly understands the meaning of images and video.
AboutAbout the lab
Does AI truly understand the meaning of images and video?
The Nakashima Lab (MIMLab) conducts research to clarify whether artificial intelligence truly understands the meaning of images and video.
The lab considers that understanding the meaning of images and video is closely tied to being able to align them with natural language, and it works extensively on Vision and Language research that combines the two.
The lab also conducts applied research on images and video that makes use of large language models and similar technologies.
The lab's website also introduces it under the name "Composite Intelligence Media Lab".
Key terms
- Vision and Language
- A research field that combines images and video with everyday language (natural language).
- Large language model
- A large artificial intelligence model that handles language. This lab uses it in applied research on images and video.
- Diffusion model
- One of the artificial intelligence methods used to generate images and videos.
NewsLab news
An explanation of how to join the lab, for students hoping to be assigned to it
A paper has been accepted to CVPR 2026, an international conference on computer vision
A paper has been accepted to ICLR 2026, an international conference on representation learning
A paper has been accepted to AAAI 2026, an international conference on AI
ResearchResearch themes
The lab aims to clarify whether artificial intelligence truly understands the meaning of images and video. Its research page lists themes such as image and video generation, 3D shape reconstruction, computer vision for animals and plants, and AI bias.
*Illustrative imageImage and video generation and editing
The lab studies the generation and editing of images and videos using diffusion models and similar methods. The field is very actively researched, but there still seems to be a lot left to do.
*Illustrative image3D shape and appearance reconstruction
This research reconstructs the 3D shape and structure of a target object, as well as its photorealistic appearance, from images.
*Illustrative imageComputer vision for animals and plants
The lab studies computer vision technologies for animals and plants that are useful for fields such as smart agriculture and life sciences.
*Illustrative imageAI bias and bias mitigation
Neural networks can achieve high accuracy on a target task by exploiting superficial correlations, which leads to bias. The lab studies this bias and how to reduce it.
MembersFaculty
The members of the Nakashima Lab consist of faculty, project researchers, administrative assistants, visiting researchers, and doctoral, master's, and undergraduate students.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: “Sample view of data collection process using artificial intelligence application” Captain Andrew M. Freeman, Air Force Institute of Technology / Air Force Research Laboratories (AFRL), Sensors, ATR, Target Recognition Branch. / Public domain (cropped)
- Image and video generation and editing: “Sony a7R III Digital Camera Sensor ( )” Tony Webster from Minneapolis, Minnesota, United States / CC BY 2.0 (cropped)
- 3D shape and appearance reconstruction: “Wall Painting” DanielNaseri / CC BY-SA 4.0 (cropped)
- Computer vision for animals and plants: “Camera trap for detecting the Jerdon's Courser IMG 2324” PJeganathan / CC BY-SA 4.0 (cropped)
- AI bias and bias mitigation: “Example of a deep neural network” BrunelloN / CC BY-SA 4.0 (cropped)
- Related lab (Nagahara Lab): “Intersection over Union - object detection bounding boxes” Adrian Rosebrock / CC BY-SA 4.0 (cropped)
- Related lab (Uranishi Lab): “ISS-50 Shane Kimbrough uses a virtual reality headset in the Destiny lab” NASA / Public domain (cropped)
- Related lab (Kawahara Lab): “Artificial Neural Network with Chip” mikemacmarketing / original posted on flickr Liam Huang / clipped and posted on flickr / CC BY 2.0 (cropped)
- Related lab (Higo Lab): “Pile of light gray LEGO bricks at a LEGO store” Grendelkhan / CC BY-SA 4.0 (cropped)
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