Projects per year
Personal profile
Research interests
I am interested in research in Computer Vision and Machine Learning. I am specifically interested in the following areas of research:
- Visual Recognition with Scarce Supervision
- Multi-modal Deep Learning
- Explainable AI
- Adversarial and Probabilistic Deep Learning
I am interested in taking PhD students. Additional information about me can be available on my website: https://vinaypn.github.io/
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 4 Finished
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Feasibility study on improving video production process using Data-efficient Generative-AI models.
Namboodiri, V. (PI)
Innovate UK, Innovate UK Business Connect
1/08/23 → 31/01/24
Project: Central government, health and local authorities
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Innovate UK with BBFC
Padget, J. (PI), Kyprianou, A. (CoI) & Namboodiri, V. (CoI)
Innovate UK, Innovate UK Business Connect
1/07/22 → 31/12/23
Project: Central government, health and local authorities
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Brainstorming for Creative Industries
Namboodiri, V. (PI)
Arts and Humanities Research Council
1/05/21 → 30/04/22
Project: Research council
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Developing a sensitive new tool that reveals individual differences in facial emotion perception
Cosker, D. (PI), Cosker, D. (PI) & Namboodiri, V. (CoI)
1/07/19 → 31/03/23
Project: Research council
Research output
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FACTS: Facial Animation Creation using the Transfer of Styles
Saunders, J. & Namboodiri, V., 23 Apr 2024, Eurographics 2024. Eurographics Association, 4 p.Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open Access -
Genetic Algorithms Reveal Identity Independent Representation of Emotional Expressions
Murray, T., Binetti, N., Carlisi, C., Namboodiri, V., Cosker, D., Viding, E. & Mareschal, I., 31 Mar 2024, In: Emotion. 24, 2, p. 495-505 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Rectification-based Knowledge Retention for Task Incremental Learning
Mazumder, P., Singh, P., Rai, P. & Namboodiri, V. P., 1 Mar 2024, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46, 3, p. 1561-1575 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (SciVal)60 Downloads (Pure) -
Simulation training in mammography with AI-generated images: a multireader study
Rangarajan, K., Manivannan, V. V., Singh, H., Gupta, A., Maheshwari, H., Gogoi, R., Gogoi, D., Das, R. J., Hari, S., Vyas, S., Sharma, R., Pandey, S., Seenu, V., Banerjee, S., Namboodiri, V. & Arora, C., 12 Aug 2024, In: European Radiology.Research output: Contribution to journal › Article › peer-review
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Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data
Ramachandran, S. N., Mukhopadhyay, R., Agarwal, M., Jawahar, C. V. & Namboodiri, V., 25 Mar 2024, Proceedings of the 38th AAAI Conference on Artificial Intelligence. 13 ed. Association for the Advancement of Artificial Intelligence (AAAI), Vol. 38. p. 14767-14775 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile84 Downloads (Pure)