Computer Vision
Modern computer vision systems have superhuman accuracy when it comes to image recognition and analysis, but they don’t really understand what they see. At IBM Research, we’re designing AI systems with the ability to see the world like we do.
Our work
What is prompt-tuning?
NewsKim Martineau- AI
- Computer Vision
- Fairness, Accountability, Transparency
- Foundation Models
- Machine Learning
- Natural Language Processing
IBM and NASA team up to spur new discoveries about our planet
NewsKim Martineau3 minute read- Accelerated Discovery
- AI
- Climate
- Computer Vision
- Foundation Models
- Hybrid Cloud Platform
- Natural Language Processing
- Scaling AI
Debugging foundation models for bias
ResearchKim Martineau- Computer Vision
- Explainable AI
- Fairness, Accountability, Transparency
- Foundation Models
- Natural Language Processing
New smartphone app to navigate blind people to stand in lines with distances
ResearchHironobu Takagi, Chieko Asakawa, Masaki Kuribayashi, and Seita Kayukawa3 minute read- AI
- Computer Science
- Computer Vision
- Human-Centered AI
MIT and IBM announce ThreeDWorld Transport Challenge for physically realistic Embodied AI
ReleaseChuang Gan, Abhishek Bhandwaldar, and Dan Gutfreund7 minute read- AI
- Computer Vision
Image captioning as an assistive technology
NewsYoussef Mroueh5 minute read- Computer Vision
- Trustworthy AI
- Trustworthy Generation
- See more of our work on Computer Vision
Publications
- Lucas Morin
- Martin Danelljan
- et al.
- 2023
- ICCV 2023
- Hannah Kim
- Celia Cintas
- et al.
- 2023
- IJCAI 2023
- Daiki Kimura
- Tatsuya Ishikawa
- et al.
- 2023
- IJCAI 2023
- Pablo Navarro
- Celia Cintas
- et al.
- 2023
- IJCAI 2023
- Piotr Sebastian Kluska
- Florian Scheidegger
- et al.
- 2023
- KDD 2023
- Daiki Kimura
- Tatsuya Ishikawa
- et al.
- 2023
- MIRU 2023