Join and Collaboration
Information for students considering joining Usami Laboratory and for companies or research institutions interested in collaboration.
For Students
Usami Laboratory welcomes students interested in image processing, computer vision, and machine learning. Through research, students develop problem finding, problem solving, logical thinking, implementation, and presentation skills.
- Learning and thinking independently
- Trying difficult problems without avoiding failure
- Collaborating with laboratory members
- Communicating research results outside the laboratory
- Programming in Python, C++, and related tools
- Theory and implementation of machine learning and deep learning
- Reading and writing research papers
- Conference presentation skills
- Planning and managing research projects
- 1
Laboratory visit
Visit the laboratory to learn about the atmosphere and research topics.
- 2
Submit your preference
Submit your laboratory preference according to the department procedure.
- 3
Assignment and theme discussion
After assignment, we begin discussing possible research themes.
For laboratory visits or assignment consultation, please send the following information by email.
- Name
- Affiliation, department, and year
- Research fields of interest
- Candidate dates and times for a visit
For Collaboration
We actively pursue collaborative research with companies and research institutions on technical problems related to image processing, computer vision, and machine learning.
- Medical image analysis, including lesion detection and segmentation
- Visual inspection and quality control
- Action recognition and anomaly detection
- Image generation and data augmentation
- Physics-based image understanding and sensing
- 1
Initial contact
Please contact us with a brief description of your technical problem.
- 2
Discussion and proposal
We discuss the problem and propose possible research approaches.
- 3
Contract and research start
After completing the university procedures and contract, the research starts.
For collaborative research inquiries, please send the following information by email.
- Organization and department
- Contact person
- Problem overview
- Contact information