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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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) & Namboodiri, V. (CoI)
1/07/19 → 31/03/23
Project: Research council
Research output
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SpectFormer: Frequency and Attention is what you need in a Vision Transformer
Patro, B. N., Namboodiri, V. P. & Agneeswaran, V. S., 8 Apr 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. U. S. A.: IEEE, p. 9543-9554 12 p. (Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
3 Citations (SciVal) -
Zero-shot CLIP Class Forgetting via Text-image Space Adaptation
Kravets, A. & Namboodiri, V. P., 20 Jan 2025, In: Transactions on Machine Learning Research. 24 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile53 Downloads (Pure) -
CLIP Adaptation by Intra-Modal Overlap Reduction
Kravets, A. & Namboodiri, V., 25 Nov 2024. 26 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile15 Downloads (Pure) -
FACTS: Facial Animation Creation using the Transfer of Styles
Saunders, J. & Namboodiri, V., 23 Apr 2024, Eurographics 2024. 2 ed. Eurographics Association, Vol. 43. 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