Suraj Neelakantan
Suraj Neelakantan Befattning: Doktorand Organisation: Institutionen för naturvetenskap och teknikE-post: c3VyYWoubmVlbGFrYW50YW47b3J1LnNl
Telefon: Telefonnummer saknas
Rum: T2245
Om Suraj Neelakantan
I am a Ph.D student at the Machine Perception and Interaction Lab at AASS Research Center, Department of Science and Technology, Örebro University, Sweden.
I work in computer vision and deep learning, focusing on developing models for image enhancement, segmentation, and classification for various applications like geoscience and remote sensing. My research explores how deep neural networks, including CNNs and attention-based models, can improve feature extraction, image reconstruction, and adaptability across different datasets. Beyond computer vision, I am interested in broader deep learning trends, including advancements in model architectures, optimization techniques, and self-supervised learning.
Forskargrupper
Publikationer
Artiklar i tidskrifter
- Neelakantan, S. , Norell, J. , Hansson, A. , Längkvist, M. & Loutfi, A. (2024). Neural network approach for shape-based euhedral pyrite identification in X-ray CT data with adversarial unsupervised domain adaptation. Applied Computing and Geosciences, 21. [BibTeX]
Konferensbidrag
- Neelakantan, S. , Hansson, A. , Norell, J. , Schött, J. , Längkvist, M. & Loutfi, A. (2024). Machine Learning for Lithology Analysis using a Multi-Modal Approach of Integrating XRF and XCT data. I: 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden. Konferensbidrag vid 14th Scandinavian Conference on Artificial Intelligence (SCAI 2024), Jönköping, Sweden, June 10-11, 2024. [BibTeX]